Computer vision Books

Book SynopsisThis volume LNCS 14184 and 14185 constitutes the refereed proceedings of the 20th International Conference, CAIP 2023, in Limassol, Cyprus, in September 2023. The 54 full papers presented were carefully reviewed and selected from 67 submissions. They were organized in the following section as follows:Part I: PAR Contest 2023; Deep Learning; Machine Learning for Image and Pattern Analysis; and Object Recognition and Segmentation.Part II : Biometrics- Human Pose Estimation- Action Recognition; Biomedical Image and Pattern Analysis; and General Vision- AI Applications.Table of Contents​Biometrics - Human Pose Estimation - Action Recognition.- A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features.- Highly crowd detection and counting based on curriculum learning.- Race Bias Analysis of Bona Fide Errors in Face Anti-spoofing.- Fall detection with event-based data: A case study.- Towards Accurate and Efficient Sleep Period Detection using Wearable Devices.- RLSTM: A Novel Residual and Recurrent Network for Pedestrian Action Classification.- Biomedical Image and Pattern Analysis.- Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms.- Complete AI-based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-Management.- COFI - Coarse-semantic to fine-instance unsupervised mitochondria segmentation in EM.- Empirical study of attention-based models for automatic classification of gastrointestinal endoscopy images.- Classification of Breast Micro-Calcifications as Benign or Malignant using Subtraction of Temporally Sequential Digital Mammograms and Machine Learning.- Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation.- Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images.- Comparative Study of Explainable AI models in the assessment of Multiple Sclerosis.- General Vision - AI Applications.- Biometric Recognition of African Clawed Frogs.- Teacher-Student synergetic knowledge distillation for detecting alcohol consumption in NIR iris Images.- Performance Assessment of Fine-tuned Barrier Recognition Models in Varying Conditions.- Keyrtual: A Lightweight Virtual Musical Keyboard based on RGB-D and Sensors Fusion.- Classification of Honey Pollens with ImageNet Neural Networks.- Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space.- Unsupervised Representation Learning in Partially Observable Atari Games.- Structural Analysis of the Additive Noise Impact on the α-tree.- Augmented Reality for indoor localization and navigation: the case of UNIPI AR Experience.- A Benchmark and Investigation of Deep-Learning-Based Techniques for Detecting Natural Disasters in Aerial Images.- Perceptual Light Field Image Coding with CTU Level Bit Allocation.- Comparative Performance Assessment of Different Video Codecs.

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Book SynopsisThis book constitutes the refereed proceedings of the 8th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023.The 13 full papers included in this book were carefully reviewed and selected from 16 submissions. They span a wide range of topics relevant to SASHIMI, and reflect recent developments in methods for segmentation, image-to-image translation, super-resolution, and image synthesis. Applications include MRI imaging, echocardiography, PET, and digital pathology.Table of ContentsTransformers for CT Reconstruction From Monoplanar and Biplanar Radiographs Super-resolution Segmentation network for inner-ear tissue segmentation.- Multi-Phase Liver-Specific DCE-MRI Translation via a Registration-Guided GAN.- Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI Physics-Aware Motion Simulation for T2*-Weighted Brain MRI.- Unsupervised heteromodal physics-informed representation of MRI data: tackling data harmonisation, imputation and domain shift.- TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction.- How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis.- Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry.- Digital Pathology using Deep Generative Models Self-Supervised Super-Resolution for Anisotropic MR Images with and without Slice Gap DIFF·3: A latent diffusion model for the generation of synthetic 3D echocardiographic images and corresponding labels.

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Book SynopsisThis book constitutes the proceedings of the 21st International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2023, held in Kumamoto, Japan, during August 2023. The 31 papers presented in this volume were carefully reviewed and selected from a total of 48 submissions. They were organized in topical sections named: Computer Vision, Affective Computing and Human Interactions, Managing the Biodiversity, Robotics and Drones, Machine Learning.Table of ContentsA hybrid quantum-classical segment-based Stereo Matching algorithm.- Continuous Exposure for Extreme Low-Light Imaging.- Semi-supervised Classification and Segmentation of Forest Fire using Autoencoders.- Descriptive and coherent paragraph generation for image paragraph captioning using vision transformer and post-processing.- Pyramid Swin Transformer for Multi-Task: Expanding to more computer vision tasks.- Person activity classification from an aerial sensor based on a multi-level deep features.- Person Quick-Search Approach based on a Facial Semantic Attributes Description.- Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers.- BENet: A lightweight bottom-up framework for context-aware emotion recognition.- Yolopoint: Joint Keypoint and Object Detection.- Less-than-one shot 3d segmentation hijacking a pre-trained space-time memory network.- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network.- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network.- A Single Image Neuro-Geometric Depth Estimation.- Wave-shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds.- A Deep Learning Approach to Segment High-Content Images of the E.coli Bacteria.- Multimodal Emotion Recognition System Through Three Different Channels (MER-3C).- Multi-Modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets.- A Contrario Mosaic Analysis for Image Forensics.- IRIS SEGMENTATION TECHNIQUE USING IRIS-UNet METHOD.- Image Acquisition by Image Retrieval with Color Aesthetics.- Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs.- Quality assessment for high dynamic range stereoscopic omnidirectional image system.- Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging.- Reinforcement Learning for truck Eco-driving: a serious game as driving assistance system.- Underwater mussel segmentation using smoothed shape descriptors with random forest.- A 2D Cortical Flat Map Space for Computationally Efficient Mammalian Brain simulation.- Construction of a novel data set for pedestrian tree species detection using google street view data.- Texture-based Data Augmentation for Small Datasets.- Multimodal Representations for Teacher-Guided Compositional Visual Reasoning.- Enhanced Color QR Codes with Resilient Error Correction for Dirt-Prone Surfaces.

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Book SynopsisThe five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023.The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality.The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high quality peer reviewed oral and poster presentations. Table of Contents​Computer Vision and Pattern Recognition: Temporal Global Re-Detection Based on Interaction-Fusion Attention in Long-Term Visual Tracking.- VLNet: A Multi-task Network for Joint Vehicle and Lane Detection.- Adaptive Cost Aggregation in Iterative Depth Estimation for Efficient Multi-View Stereo.- A Novel Semantic Segmentation Method for High-Resolution Remote Sensing Images Based on Visual Attention Network.- Efficient Few-shot Image Generation via Lightweight Octave Generative Adversarial Networks.- Incorporating Global Correlation and Local Aggregation for Efficient Visual Localization.- Deep Interactive Image Semantic and Instance Segmentation.- Learning High-Performance Spiking Neural Networks With Multi-Compartment Spiking Neurons.- Attribute Space Analysis for Image Editing.-SAGAN: Self-Attention Generative Adversarial Net-work for RGB-D Saliency Prediction.- Behavioural State Detection Algorithm for Infants and Toddlers Incorporating Multi-scale Contextual Features.- Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark.- Dual Fusion Network for Hyperspectral Semantic Segmentation.- Strip-FFT Transformer for single image deblurring.- Vision-Language Adaptive Mutual Decoder for OOV-STR.- DensityLayout: Density-conditioned Layout GAN for Visual-textual Presentation Designs.- GLTCM: Global-Local Temporal and Cross-Modal Network for Audio-Visual Event Localization.- Recent Advances in Class-Incremental Learning.- TTA-GCN: Temporal Topology Aggregation for Skeleton-Based Action Recognition.- A Stable Long-Term Tracking Method For Group-Housed Pigs.- Dynamic Attention for Isolated Sign Language Recognition with Reinforcement Learning.- A Segmentation Method based on SE Attention and U-Net for Apple Image.- Human Action Recognition Method based on spatio-temporal relationship.- Facial expression recognition from occluded images using deep convolution neural network with Vision Transformer.- Learning Discriminative Proposal Representation for Multi-Object Tracking.- Virtual-Violence: A Brand-New Dataset for Video Violence Recognition.- A novel Attention-DeblurGAN-Based Defogging Algorithm.- Multi-Modal Context-Aware Network for Scene Graph Generation.- VQA-CLPR: Turning a Visual Question Answering Model into a Chinese License Plate Recognizer.- Unsupervised Vehicle Re-Identification via Raw UAV Videos.- Distance-Aware Vector-Field and Vector Screening Strategy for 6D Object Pose Estimation.- SSTA-Net: Self-supervised Spatio-Temporal Attention Network for Action Recognition.- Gesture recognition method based on Sim-ConvNeXt model.- Research on Airborne Infrared Target Recognition Method based on Target-Environment Coupling.- Semantic and Gradient Guided Scene Text Image Super-Resolution.

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Book SynopsisThe five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023.The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality.The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.Table of Contents​Biological and Medical Image Processing: An efficient medical image fusion via online convolutional sparse coding with sample-dependent dictionary.- Multimodal Medical Image Fusion based on Multichannel Aggregated Network.- Multi-Path Feature Fusion and Channel Feature Pyramid for Brain Tumor Segmentation in MRI.- Near infrared video heart rate detection based on multi-region selection and robust principal component analysis- Neural video: A novel framework for interpreting the spatiotemporal activities of the human brain.- Local Fusion Synthetic CT Network for Improving the Quality of CBCT in Cervical Cancer Radiotherapy.- Causality-Inspired Source-Free Domain Adaptation for Medical Image Classification.- Pixel-Correlation-Based Scar Screening in Hypertrophic Myocardium.- Dictionary Matching Based 2D Thin Slice Generalized Slice-dithered Enhanced Resolution (gSlider) Variable Flip Angle T1 Mapping.- Deep Low-rank Multimodal Fusion with Inter-modal Distribution Difference Constraint for ASD Diagnosis.- Cross-domain Tongue Image Segmentation based on Deep Adversarial Networks and Entropy Minimization.- Residual Inter-slice Feature Learning for 3D Organ Segmentation.- Color and Multispectral Processing: A Cross-paired Wavelet Based Spatiotemporal Fusion Network for Remote Sensing Images.- Coupled Dense Convolutional Neural Networks with Autoencoder For Unsupervised Hyperspectral Super Resolution.- Computational Imaging: Multi-scale Non-Local Bidirectional Fusion for Video Super-Resolution.- Multi-View and Stereoscopic Processing: Learning a Deep Fourier Channel Attention Generative Adversarial Network for Light Field Image Super-Resolution.- Synthesizing a large scene with multiple NeRFs.- Neural Implicit 3D Shapes from Single Images with Spatial Patterns.- Multimedia Security: Dense Visible Watermark Removal with Progressive Feature Propagation.- When Diffusion Model Meets with Adversarial Attack: Generating Transferable Adversarial Examples on Face Recognition.- TPM: Two-stage prediction mechanism for universal adversarial patch defense.- Surveillance and remote sensing: WSAD-Net: Weakly Supervised Anomaly Detection in Untrimmed Surveillance Videos.- Multi-object Tracking in Remote Sensing Video Based on Motion and Multi-scale Local Cost Volume.- Density Map Augmentation-based Point-to-point Vehicle Counting and Localization in Remote Sensing Imagery with Limited Resolution.- Large Window Attention based Transformer Network for Change Detection of Remote Sensing Images.- U-TEN:An Unsupervised Two-branch Enhancement Network for Object Detection under Complex-Light Condition.- Virtual Reality: Design of virtual assembly guidance system based on mixed reality.- Blind Omnidirectional Image Quality Assessment Based on Swin Transformer with Scanpath-Oriented.- Audio-visual Saliency for Omnidirectional Videos.

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Book SynopsisThis volume comprises the proceedings of the International Workshop, ShapeMI 2023, which took place alongside MICCAI 2023 on October 8, 2023, in Vancouver, British Columbia, Canada.The 23 selected full papers deal with all aspects of leading methods and applications for advanced shape analysis and geometric learning in medical imaging.Table of ContentsAnatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction.- C3Fusion: Consistent Contrastive Colon Fusion, Towards Deep SLAM in Colonoscopy.- Anatomy-Aware Masking for Inpainting in Medical Imaging.- Particle-Based Shape Modeling for Arbitrary Regions-of-Interest.- Optimal coronary artery segmentation based on transfer learning and UNet architecture.- Unsupervised Learning of Cortical Surface Registration using Spherical Harmonics.- Unsupervised correspondence with combined geometric learning and imaging for radiotherapy applications.- ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images.- Body Fat Estimation from Surface Meshes using Graph Neural Networks.- Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors.- On the Localization of Ultrasound Image Slices within Point Distribution Models.- FSJP-Net: Foreground and Shape Joint Perception Network for Glomerulus Detection.- Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models.- Muscle volume quantification: guiding transformers with anatomical priors.- Geodesic Logistic Analysis of Lumbar Spine Intervertebral Disc Shapes in Supine and Standing Positions.- SlicerSALT: From medical images to quantitative insights of anatomy.- Predicting Shape Development: A Riemannian Method.- AReg IOS: Automatic Registration on IntraOralScans.- Modeling Longitudinal Optical Coherence Tomography Images for Monitoring and Analysis of Glaucoma Progression.- IcoConv : Explainable brain cortical surface analysis for ASD classification.- DeCA: A Dense Correspondence Analysis Toolkit for Shape Analysis.- 3D Shape Analysis of Scoliosis.- SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction.

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Book SynopsisThis double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops. The papers of the workshops are presenting the topical sections: Eighth International Skin Imaging Collaboration Workshop (ISIC 2023) First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023) Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023) First MICCAI Workshop on Time-Series Data Analytics and Learning First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF) AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023) Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023) Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023) Table of ContentsArtificial Intelligence.- Computer Vision.- Machine Learning.- Medical Imaging.- Explainability.- Privacy-Preserving Learning.- Federated Learning.- Distributed Learning.- Dermatology.- Skin.- Radiology.- Health Informatics.- Radiomics.- Video.- Time Series Data.- Physiological Data.- Longitudinal Data.- Data Fusion.- Motion Tracking.

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Book SynopsisThis double volume set LNCS 14393-14394 constitutes the proceedings from the workshops held at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2023 Workshops, which took place in Vancouver, BC, Canada, in October 2023. The 54 full papers together with 14 short papers presented in this volume were carefully reviewed and selected from 123 submissions from all workshops. The papers of the workshops are presenting the topical sections: Eighth International Skin Imaging Collaboration Workshop (ISIC 2023) First Clinically-Oriented and Responsible AI for Medical Data Analysis (Care-AI 2023) Workshop First International Workshop on Foundation Models for Medical Artificial General Intelligence (MedAGI 2023) Fourth Workshop on Distributed, Collaborative and Federated Learning (DeCaF 2023) First MICCAI Workshop on Time-Series Data Analytics and Learning First MICCAI Workshop on Lesion Evaluation and Assessment with Follow-Up (LEAF) AI For Treatment Response Assessment and predicTion Workshop (AI4Treat 2023) Fourth International Workshop on Multiscale Multimodal Medical Imaging (MMMI 2023) Second International Workshop on Resource-Effcient Medical Multimodal Medical Imaging Image Analysis (REMIA 2023) Table of ContentsArtificial Intelligence.- Computer Vision.- Machine Learning.- Medical Imaging.- Explainability.- Privacy-Preserving Learning.- Federated Learning.- Distributed Learning.- Dermatology.- Skin.- Radiology.- Health Informatics.- Radiomics.- Video.- Time Series Data.- Physiological Data.- Longitudinal Data.- Data Fusion.- Motion Tracking.

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Book SynopsisThis volume LNCS 14361 and 14362 constitutes the refereed proceedings of the, 16th International Symposium, ISVC 2023, in October 2023, held at Lake Tahoe, NV, USA.The 42 full papers and 13 poster papers were carefully reviewed and selected from 120 submissions. A total of 25 papers were also accepted for oral presentation in special tracks from 34 submissions. The following topical sections followed as:Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures; ST: Generalization in Visual Machine Learning; Computer Graphics; Medical Image Analysis; Biometrics; Autonomous Anomaly Detection in Images; ST: Artificial Intelligence in Aerial and Orbital Imagery; ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.Table of ContentsVirtual Reality.- A Pilot Study Comparing User Interactions Between Augmented and Virtual Reality.- Synthesizing Play-Ready VR Scenes with Natural Language Prompts through GPT API.- Emergent Individual Factors for AR Education and Training.- Segmentation.- ISLE: A Framework for Image Level Semantic Segmentation Ensemble.- Particulate Mapping Centerline Extraction (PMCE), a Novel Centerline Extraction Algorithm Based on Patterns in the Spatial Distribution of Aggregates.- Evaluating Segmentation Approaches on Digitized Herbarium Specimens.- Semantic Scene Filtering for Event Cameras in Long-Term Outdoor Monitoring Scenarios.- SODAWideNet - Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training.- Applications.- Foil-Net: Deep Learning-Based Wave Classification for Hydrofoil Surfing.- Inpainting of Depth Images using Deep Neural Networks for Real-Time Applications.- Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps.- Real-world Image Deblurring via Unsupervised Domain Adaptation.- Object Detection and Recognition.- Reliable Matching by Combining Optimal Color and Intensity Information based on Relationships between Target and Surrounding Objects.- Regularized Meta-Training with Embedding Mixup for Improved Few-Shot Learning.- Visual Foreign Object Detection for Wireless Charging of Electric Vehicles.- Deep Representation Learning for License Plate Recognition in Low Quality Video Images.- Optimizing PnP-Algorithms for Limited Point Correspondences Using Spatial Constraints.- Deep Learning.- Unsupervised Deep-Learning Approach for Underwater Image Enhancement.- LaneNet++ : Uncertainty-aware Lane Detection for Autonomous Vehicle.- Task-driven Compression for Collision Encoding based on Depth Images.- Eigenpatches - Adversarial Patches from Principal Components.- Edge-guided Image Inpainting with Transformer.- Poster.- Bayesian Fusion inspired 3D reconstruction via LiDAR-Stereo Camera Pair.- Marimba Mallet Placement Tracker.- DINO-CXR: A Self Supervised Method Based on Vision Transformer for Chest X-Ray Classification.- Social Bias and Image Tagging: Evaluation of Progress in State-of-the-Art Models.- L-TReiD: Logic Tensor Transformer for Re-Identification.- Retinal Disease Diagnosis with a Hybrid ResNet50-LSTM Deep Learning Model.- Pothole Segmentation and Area Estimation with Deep Neural Networks and Unmanned Aerial Vehicles.- Generation method of robot assembly motion considering physicality gap between humans and robots.- A Self-Supervised Pose Estimation Approach for Construction Machines.- Image Quality Improvement of Surveillance Camera Images by Learning Noise Removal Method Using Noise2Noise.- Automating Kernel Size Selection in MRI Reconstruction via a Transparent and Interpretable Search Approach.- Segmentation and Identification of Mediterranean Plant Species.- Exploiting Generative Adversarial Networks in Joint Sensitivity Encoding for Enhanced MRI Reconstruction.- Multisensory Modeling of Tabular Data for Enhanced Perception and Immersive User Experience.- Coping with Bullying Incidents by the Narrative and Multi-modal Interaction in Virtual Reality.

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Book SynopsisThis volume LNCS 14361 and 14362 constitutes the refereed proceedings of the, 16th International Symposium, ISVC 2023, in October 2023, held at Lake Tahoe, NV, USA.The 42 full papers and 13 poster papers were carefully reviewed and selected from 120 submissions. A total of 25 papers were also accepted for oral presentation in special tracks from 34 submissions. The following topical sections followed as:Part 1: ST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management; Visualization; Video Analysis and Event Recognition; ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures; ST: Generalization in Visual Machine Learning; Computer Graphics; Medical Image Analysis; Biometrics; Autonomous Anomaly Detection in Images; ST: Artificial Intelligence in Aerial and Orbital Imagery; ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.Part 2: Virtual Reality; Segmentation; Applications; Object Detection and Recognition; Deep Learning; Poster.Table of ContentsST: Biomedical Image Analysis Techniques for Cancer Detection, Diagnosis and Management.- Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images.- Deep Learning Based GABA Edited-MRS Signal Reconstruction.- Investigating the Impact of Attention on Mammogram Classification.- ReFit:A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images.- A Data-centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images.- Visualization.- Visualizing Multimodal Time Series at Scale.- Hybrid Tree Visualizations for Analysis of Gerrymandering.- ArcheryVis: A Tool for Analyzing and Visualizing Archery Performance Data.- Spiro: Order-preserving Visualization in High Performance Computing Monitoring.- From Faces To Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans.- Video Analysis and Event Recognition.- Comparison of Autoencoder Models for Unsupervised Representation Learning of Skeleton Sequences.- Local and Global Context Reasoning for Spatio-Temporal Action Localization.- Zero-Shot Video Moment Retrieval using BLIP-based Models.- Self-Supervised Representation Learning for Fine Grained Human Hand Action Recognition in Industrial Assembly Lines.- ST: Innovations in Computer Vision & Machine Learning for Critical & Civil Infrastructures.- Pretext Tasks in Bridge Defect Segmentation within a ViT-Adapter Framework.- A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation.- Efficient Resource Provisioning in Critical Infrastructures based on Multi-Agent Rollout enabled by Deep Q-Learning.- Video-Based Recognition of Aquatic Invasive Species Larvae Using Attention-LSTM Transformer.- ST: Generalization in Visual Machine Learning.- Latent Space Navigation for Face Privacy: A Case Study on the MNIST Dataset.- Domain Generalization for Foreground Segmentation Using Federated Learning.- Probabilistic Local Equivalence Certification for Robustness Evaluation.- Challenges of Depth Estimation for Transparent Objects.- Volumetric Body Composition through Cross-Domain Consistency Training for Unsupervised Domain Adaptation.- Computer Graphics.- Water Animation Using Coupled SPH and Wave Equation.- Neural Rendering into Unity.- Virtual Home Staging: Inverse Rendering and Editing an Indoor Panorama under Natural Illumination.- SwarmCurves: Evolutionary Curve Reconstruction.- Medical Image Analysis.- Brain Cortical Surface Registration with Anatomical Atlas Constraints.- When System Model meets Image Prior: An Unsupervised Deep Learning Architecture for Accelerated Magnetic Resonance Imaging.- 3D Reconstruction from 2D Cerebral Angiograms as a Volumetric Denoising Problem.- An Integrated Shape-Texture Descriptor for Modeling Whole-Organism Phenotypes in Drug Screening.- Enhancing Image Reconstruction via Phase-Constrained Data in an Iterative Process.- Biometrics.- I Got Your Emotion: Emotion Preserving Face De-identification Using Injection-based Generative Adversarial Networks.- DoppelVer: A Benchmark for Face Verification.- Two-stage Face Detection and Anti-spoofing.- Autonomous Anomaly Detection in Images.- Driver Anomaly Detection Using Skeleton Images.- Driver Anomaly Detection Using Skeleton Images.- Latent Diffusion based Multi-class Anomaly Detection.- ST: Artificial Intelligence in Aerial and Orbital Imagery.- Investigating the impact of a low-rank tensor-based approach on deforestation imagery.- Strategic Incorporation of Synthetic Data for Performance Enhancement in Deep Learning A Case Study on Object Tracking Tasks.- Autonomous Navigation Via A Cascading CNN Framework Leveraging Synthetic Terrain Images.- ST: Data Gathering, Curation, and Generation for Computer Vision and Robotics in Precision Agriculture.- Synthetically labeled images for maize plant detection in UAS images.- An open source simulation toolbox for annotation of images and point clouds in agricultural scenarios.- Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms.- Identification of Abnormality in Maize Plants From UAV Images Using Deep Learning Approaches.- Deep Learning for Super Resolution of Sugarcane Crop Line Imagery from Unmanned Aerial Vehicles.

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Book SynopsisThis book constitutes the refereed proceedings of the 30th International Conference on MultiMedia Modeling, MMM 2024, held in Amsterdam, The Netherlands, during January 29 – February 2, 2024.The 112 full papers included in this volume were carefully reviewed and selected from 297 submissions. The MMM conference were organized in topics related to multimedia modelling, particularly: audio, image, video processing, coding and compression; multimodal analysis for retrieval applications, and multimedia fusion methods.Table of ContentsWhere are Biases? Adversarial Debiasing with Spurious Feature Visualization.- Cross-Modal Hash Retrieval with Category Semantics.- Spatiotemporal Representation Enhanced ViT for Video Recognition.- SCFormer: A Vision Transformer with Split Channel in Sitting Posture Recognition.- Dive into Coarse-to-Fine Strategy in Single Image Deblurring.- TICondition: Expanding Control Capabilities for Text-to-Image Generation with Multi-Modal Conditions.- Enhancing Generative Generalized Zero Shot Learning via Multi-Space Constraints and Adapative Integration.- Joint Image Data Hiding and Rate-Distortion Optimization in Neural Compressed Latent Representations.- GSUNet: A Brain Tumor Segmentation Method Based On 3D Ghost Shuffle U-Net.- ACT: Action-associated and Target-related Representations for Object Navigation.- Foreground Feature Enhancement and Peak & Background Suppression for Fine-Grained Visual Classification.- YOLOv5-SRR: Enhancing YOLOv5 for Effective Underwater Target Detection.- Image Clustering and Generation with HDGMVAE-I.- “Car or Bus?" CLearSeg: CLIP-enhanced Discrimination among Resembling Classes for Few-Shot Semantic Segmentation.- PANDA: Prompt-based Context- and Indoor-aware Pretraining for Vision and Language Navigation.- Cross-Modal Semantic Alignment Learning for Text-based Person Search.- Point Cloud Classification via Learnable Memory Bank.- Adversarially Regularized Low-Light Image Enhancement.- Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation.- PMGCN:Preserving measuring mapping prototype graph calibration network for few-shot learning.- ARE-CAM: An interpretable approach to quantitatively evaluating the adversarial robustness of deep models based on CAM.- SSK-Yolo:Global feature-driven small object detection network for images.- MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification.- From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction.- Structure-aware Adaptive Hybrid Interaction Modeling for Image-Text Matching.- Using Saliency and Cropping to Improve Video Memorability.- Contextual Augmentation with Bias Adaptive for Few-shot VideoObject Segmentation.- A lightweight local attention network for image super resolution.- Domain Adaptation for Speaker Verification Based on Self-SupervisedLearning with Adversarial Training.- Quality Scalable Video Coding based on Neural Representation.- Hierarchical Bi-Directional Temporal Context Mining for ImprovedVideo Compression.- MAMixer: Multivariate Time Series Forecasting via Multi-Axis Mixing.- A Custom GAN-based Robust Algorithm for Medical Image Watermarking.- A Detail-guided Multi-source Fusion Network for Remote Sensing Object Detection.- A Secure and Fair Federated Learning Protocol under the Universal Composability Framework.- Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection.- Face Forgery Detection via Texture and Saliency Enhancement.

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Book Synopsis.- A Model for Optimizing Recalculation Schedules to Minimize Regret..- A Theory of Learning with Competing Objectives and User Feedback..- Trick Costs for $alphamu$ and New Relatives..- A Differential Approach for Several NP-hard Optimization Problems..- On the Computational Complexities of Finding Selected Refutations of Linear Programs..- Extending the Tractability of the Clique Problem via Graph Classes Generalizing Treewidth..- Principled Approaches for Learning to Defer with Multiple Experts..- On Sample Reuse Methods for Answering $k$-wise Statistical Queries..- Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting..- New Proportion Measures of Discrimination Based on Natural Direct and Indirect Effects..- Addressing Discretization Artifacts in Tomography by Accessing and Balancing Pixel Coverage of Projections..- Finding the Straight Skeleton for 3D Orthogonal Polyhedrons: A Combinatorial Approach..- Towards a Unifying View on Monotone Constructive Definitions..- Partial Boolean Functions for QBF Semantics.

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Book SynopsisFAIMI: Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods.- Dataset Distribution Impacts Model Fairness: Single vs Multi-Task Learning.- AI Fairness in Medical Imaging: Controlling for Disease Severity.- Fair and Private CT Contrast Agent Detection.- Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly.- Fair AI Outcomes Without Sacrificing Group Gains .- All you need is a guiding hand: mitigating shortcut bias in deep learning models for medical imaging.- Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms.- Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation.- BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning.- Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data.- Do sites benefit equally from distributed learning in medical image analysis.-

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Book SynopsisWeakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images.- PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model.- Deformable vertebra 3D/2D registration from biplanar X-rays using particle-based shape modelling.- Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution.- Implicitly Explicit: Segmenting Vertebrae with Deep Implicit Statistical Shape Models.- 3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars.- Robust Curve Detection in Volumetric Medical Imaging via Attraction Field.- A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures.- Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging.- Application of Deep Statistical Shape Modeling for Analysis of Obstructive Sleep Apnea from MRI Data.- Leveraging Expert Knowledge for Real-time Online Adaptation of Intraoperative Liver Registration.- MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images.- LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation.- Enhancing Multimodal Image-Based Classification of Alzheimer's Disease with Surface Information.- Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations.- Towards Point Cloud-Based Medical Image Registration for Dynamic 4D-CT Imaging.

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Book SynopsisOptimizing Personalized Robot Actions with Ranking of Trajectories.- Synthesizing operationally safe controllers for human-in-the-loop human-in-the-plant hybrid close loop systems.- Multi-Frequency Fine-Grained Matching for Audio-Visual Segmentation.- Confidence-Guided Feature Alignment for  Cloth-Changing Person Re-identification.- Fair Latent Representation Learning with Adaptive Reweighing.- FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features.- One-factor Cancelable Biometric Template Protection Scheme for Real-valued Features.- Multi-Teacher Invariance Distillation for Domain-Generalized Action Recognition.- ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recognition.- Spatio-Temporal Domain-Aware Network for Skeleton-based Action Representation Learning.- Project and Pool: An Action Localization network for localizing actions in Untrimmed Videos.- Multi-Teacher Importance Preserving Knowledge Distillation f

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Book SynopsisODTr: Transformer Integrating OCR Auxiliary Map and Image Depth Information for Document Image Unwarping.- Oracle Character Recognition Based on Attention Enhancement and Multi-level Feature Fusion.- DocHFormer: Document Image Dewarping via Harmonized Modeling of Hierarchical Priors.- Document Image Shadow Removal via Frequency Information-oriented Network.- Improving Online Handwriting Recognition with Transfer Learning Using Out-of-Domain and Different-Dimensional Sources.- ROISER: Towards Real World Semantic Entity Recognition from Visually-rich Documents.- Perception-Enhanced Generative Transformer for Key Information Extraction from Documents.- MuLAD: Multimodal Aggression Detection from Social Media Memes Exploiting Visual and Textual Features.- E4: A Voting-Based Paradigm for Enhancing Retrieval Augmented Generation.- Improving Chinese Emotion Classification based on Bilingual Feature Fusion.- SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology.- Enhancing Automated Short Answer Grading with Prompt-Driven Augmentation and Prompt Adaptive Oversampling.- SANS: Spatial-aware Neural Solver for Plane Geometry Problem.- Cross Lingual Synopsis Generation in English, Dutch, Vietnamese, Indonesian, Russian, Portuguese, Korean, Hindi and French.- A Multi-Modal Framework to Counter Hate Speeches.- TBIA-DBNet: A Two-Branch Image-Adaptive DBNet for Scene Text Detection in Real-World Foggy Scenes.- Breaking Boundaries: Enhancing Script Identification Using a Learnable MULLER Resizer.- Arbitrary-Shaped Scene Text Recognition with Deformable Ensemble Attention.- Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning.- Offline Handwritten Signature Verification Using a Stream-Based Approach.- OCR4HSV: A Multi-Task Learning Approach for Handwritten Signature Verification.- Learning explicit radical representations for Zero-shot Chinese character recognition.- Deep Learning for Arabic Word Classification: Leveraging Transfer Learning and Grad-CAM for Morphological Analysis.- A cost minimization approach to fix the vocabulary size in a tokenizer for an End-to-End ASR system.- ASD-Diffusion: Anomalous Sound Detection with Diffusion Models.- FCHiFi-GAN: Aggrandizing Fast Convergence with Batchwise Normalization.- Adaptive Enhanced Reversible Flow Model for Remote sensing Image Super Resolution.- Saliency-based Neural Representation for Videos.- HNRC: Lightweight Image Compression with Hybrid Neural Representation.

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Book SynopsisThe multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1?5, 2024.The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions.They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics.

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Book SynopsisEncoder and its Operation.- Decoder and its Operation.- Grasp-skill Library and its Design.- Mainpulation-skill Library and its Design.- Big Bang of LfO.- Poloyhedral World.- Knot Tying World.- Dance World.

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Book Synopsis.- 2D 3D Registration of Acetabular Hip Implants Under Perspective Projection and Ellipse Fitting..- ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning.

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Book Synopsis.- Anisotropic Fourier Features for Positional Encoding in Medical Imaging..- PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models..- A Unified Pipeline for Explainable Gait Analysis..- ShapeKit..- Posterior Shape Models Revisited: Improving 3D Reconstructions from Partial Data Using Target-Specific Models..- Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading..- Benchmarking Evaluation Metrics for Tubular Structure Segmentation in Biomedical Images..- Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models..- A Statistical 3D Stomach Shape Model for Anatomical Analysis..- AnatomyGen: Generating Anatomically Plausible Human Phantoms at High Resolution..- Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation..- Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting..- OsteoDeform: Osteophyte-Aware Shape Deformations of Distal Femur Models for Surgical Planning in Total Knee Arthroplasty..- Spline-based shape compression for interventional device tracking..- End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Data..- A Simple Modality-Agnostic Representation for Scoliosis Phenotyping..- US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery..- A Scalable Toolkit for Modeling 3D Surface-based Brain Geometry..- Parametric shape models for vessels learned from segmentations via differentiable voxelization..- Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging..- GReAT: leveraging geometric artery data to improve wall shear stress assessment..- Shape vs flow: a 2D statistical shape analysis of the projection of common iliac veins in patients with deep vein thrombosis..- Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation..- Point Set Registration Metrics Reloaded for Computer-Assisted Surgery..- Benchmark-Ready 3D Anatomical Shape Classification..- SimCortex: Collision-free Simultaneous Cortical Surfaces Reconstruction.

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Book SynopsisThis book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.

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Book SynopsisThis book serves as a comprehensive guide for using a Nexstar Evolution mount with WiFi SkyPortal control, walking the reader through the process for aligning and operating the system from a tablet or smartphone. The next generation Go-To mount from Celestron, this is compatible not only with the Nextstar Evolution but also with older mounts. It is the ideal resource for anyone who owns, or is thinking of owning, a Nexstar Evolution telescope, or adapting their existing Celestron mount. Pros and cons of the system are thoroughly covered with a critical depth that addresses any possible question by users.Beginning with a brief history of Go-To telescopes and the genesis of this still new technology, the author covers every aspect of the newly expanding capability in observing. This includes the associated Sky Portal smartphone and tablet application, the transition from the original Nexstar GoTo system to the new SkyPortal system, the use of the Sky Portal application with its Sky Safari 4 basic software and Celestron WiFi adaptations, and discussions on the use of SkyPortal application using the Celestron adapter on older Celestron mounts. Comments and recommendations for equipment enable the reader to successfully use and appreciate the new WiFi capability without becoming overwhelmed. Extensively illustrated using actual screenshots from the program interface, this is the only guide to the Nextstar SkyPortal an observer will need.Table of ContentsPreface.- Chapter 1: A Brief History of Computerized Telescope Mounts for Amateurs.- Chapter 2: A Review of Celestron GoTo Computerized Telescopes.- Chapter 3: Introduction to the Celestron NexStar Evolution and Sky Portal.- Chapter 4: Basic Operation of the Celestron NexStar Evolution and SkyPortal App.- Chapter 5: Basic Operation of the Celestron NexStar Evolution and NexStar+ Hand Control.- Chapter 6: Lessons Learned in Using the Celestron NexStar Evolution and SkyPortal.- Chapter 7: Introduction to the SkyPortal WiFi Module.- Chapter 8: Advanced WiFi Tricks.- Chapter 9: Accessories for the Celestron NexStar Evolution.- Chapter 10: Mounting Other Optical Tubes on the NexStar Evolution Mounts.- Chapter 11: Maintenance and Care of the NexStar Evolution Mounts and Electronics.- Appendix 1: Troubleshooting Checklist.- Appendix 2: Celestron Timeline.- Appendix 3: Celestron NexStar Evolution Schmidt-Cassegrain Telescope Specifications.- Appendix 4: Messier Catalog.- Appendix 5: The Caldwell Catalog.- Appendix 6: Selected Non-Messier Catalog NGC Objects.- Appendix 7: The Herschel 400.- Appendix 8: Current Sky Portal WiFi Module Compatible Celestron Mount Specifications.- Appendix 9: Glossary.- Bibliography.- Biographies.- Index.

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Book SynopsisDieser Band beschäftigt sich mit der Medienpraxis: praktische Informatik, deren Anwendung in der Medientechnik wie z.B. die Entwicklung von Multimedia-Anwendungen, Grundlagen der Computergrafik, Theorie und Praxis von Mediendatenbanken. Zusätzlich mit ausgewählten Anwendungen: Content-Related-Technologien können mediale Informationen besonders effizient organisieren, strukturieren und an Empfänger verteilen. Zusammen mit dem Band "Mediennetze" beschreibt das "Kompendium Medieninformatik" die komplette Wertschöpfungskette digitaler Mediendaten: Erzeugung, Kodierung, Transport durch drahtgebundene oder drahtlose Netze bis hin zum Endnutzer.Trade ReviewAus den Rezensionen: "… An der Inhaltsstruktur lässt sich erkennen, dass das Buch systematisch den Stoff aufbereitet. … Die Inhalte des Buches sind sehr theoretisch aufbereitet. … Besonders gut sind die Fazits und Ausblicke an jedem Kapitelende. … Der Aufbau des Buches und die Führung durch Inhalte ist sehr positiv. Die Autoren, die fast ausschließlich Professoren sind, beherrschen es, die Inhalte gerade für Lernwillige klar und verständlich aufzubereiten … Fazit: Guter Überblick mit genügend Detailtiefe, sinnvolle weiterführende Empfehlungen. Für solides technisches Wissen zur Medieninformatik empfohlen Buch." (http://www.psd-tutorials.de/book_details316.html) "… In diesem Sammelwerk sollen verschiedene konkrete Teilbereiche der Informatik und deren praktische Anwendung im Medienbereich dargestellt werden. … Die … Beiträge sind inhaltlich klar abgetrennt und führen … jeweils eigene Literaturverzeichnisse an. Wo notwendig illustrieren Grafiken oder durchgehend farbige Abbildungen den Inhalt. … Fazit: Spezialisiertes Sammelwerk, hilfreich und nützlich für Angehörige der eng umrissenen Zielgruppen." (Ulrich Wesser, in: ekz-Informationsdienst Einkaufszentrale für öffentliche Bibliotheken, 2007, Issue 41)Table of ContentsComputergrafik und Virtual Reality.- Einsatz von Markup-Languages.- Computer-Supported Cooperative Work (CSCW) — kollaborative Systeme und Anwendungen.- Content-Related-Technologien.- Usability und Design.

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Book SynopsisDie einzig anerkannte, kurative Therapieform zur Behandlung primärer und sekundärer Lebertumore ist die chirurgische Resektion. Nicht alle Tumore sind aufgrund ihrer Lage resektabel. Eine Navigationsunterstützung kann hier Abhilfe leisten. Exakte Bildregistrierungsverfahren für die Registrierung von Gefäßbäumen aus CT und Ultraschall sind dazu jedoch unerlässlich. Janine Olesch stellt Verfahren vor, mit deren Hilfe im intra-operativen Kontext eine Nachführung der Planungsdaten an die intra-operative Situation gelingt. Neben der Technik der Registrierung mit inexakten Landmarken beschreibt die Autorin auch das Konzept der 2D-3D-Registrierung. Zur methodischen Beschleunigung der Verfahren kommt eine Fokussierungsstrategie zur Registrierung besonders interessanter Regionen zum Einsatz.​Table of Contents​Problemstellung Navigierte Leberchirurgie.- Medizintechnische Grundlagen.- Grundlagen der numerischen Optimierung.- Grundlagen der Bildregistrierung.- Spezialisierte Registrierungsansätze.- Anwendungen in der navigierten Leberchirurgie​.

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Book SynopsisIn den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2022 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstützte Diagnose, Biomechanische Modellierung, Validierung und Qualitätssicherung, Bildverarbeitung in der Telemedizin u.v.m.

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Book SynopsisDas Buch gibt eine Einführung in die wichtigsten statistischen Methoden und Denkweisen. Dabei werden insbesondere Verfahren behandelt, die auch in der Biostatistik zum Einsatz kommen, z. B. Verfahren rund um randomisierte Studien und Vierfeldertafeln. Neben klassischen Methoden werden auch rechenintensive Verfahren wie z. B. exakte Konfidenzschranken oder Bootstrap/Resampling-Methoden beschrieben.Table of ContentsDeskriptive Statistik - Statistische Modelle - Konfidenzintervalle für Häufigkeiten und Quantile - Vierfeldertafeln und Chancenquotienten - Konfidenzbereiche für Normalverteilungen - Dichteschätzung - Statistische Tests - Vergleich zweier Stichproben - Multiple Vergleiche und Tests auf Assoziation - Multivariate Beobachtungen - Diskriminanzanalyse und Klassifikation - Lineare Modelle - Bootstrap-Verfahren

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Book SynopsisIm Buch „Computergrafik und Bildverarbeitung“ finden Sie alles, was Sie für Studium und Praxis über Generierung und Verarbeitung von digitalen Bildern wissen möchten und wie Sie es anwenden. Das erfolgreiche didaktische Konzept wurde weiterentwickelt und liegt ab dieser dritten Auflage in zwei Teilen vor. „Computergrafik und Bildverarbeitung“ Band I führt den Leser durch die Themen der Computergrafik. Dabei werden das alte und neue OpenGL parallel dargestellt, um einen guten Zugang für Einsteiger und einen leichteren Übergang für Fortgeschrittene zu gewährleisten. Profitieren Sie von dem kostenlosen Online-Service: Bildverarbeitungswerkzeuge, Beispiel-Software und interaktive Vorlesungen (als HTML-Seiten mit Java-Applets und Praktikumsaufgaben).Trade Review"'Computergrafik und Bildverarbeitung' ist bestens für Informatik-Studenten oder Praktiker geeignet. Beide Themen werden in einfacher Sprache, aber auch mit Mathematik erklärt."www.it-rezensionen.de, 20.08.2007"Das Werk ist eine anspruchsvolle, aber verständlich geschriebene und didaktisch gut gemachte Darstellung der beiden Bereiche [Computergrafik und Bildbearbeitung]."ekz-Informationsdienst, ID 18/07.Table of ContentsInteraktive 3D-Computergrafik – OpenGL – Geometrische Grundobjekte – Koordinatensysteme und Transformationen – Verdeckung – Farben - Beleuchtungsmodelle – Textur-Mapping – Schatten – Szenengraphen – Cull-Algorithmen – GPU Programmierung mit CUDA und OpenCL

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Book SynopsisThis book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5–6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.Table of ContentsOntological Simulation of Quality Test Concepts in Seafood Domain.- Moroccan Stock Market Prediction Using LSTM Model on A Daily Data.- A Fog-Cloud Computing assisted Lung-Cancer Diagnosis System using Deep Learning.- Performance Analysis of Power System Stability of Four Machine System by Using MBPSS and Static Compensator.- Performance Analysis of Sigmoid and Relu Activation Functions in Deep Neural Network.- CNC_Vision: Integrated Tool for Automated Creation of 2D Profiles for CNC Machine

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Book SynopsisThis book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.Table of ContentsApplication of Big Data and Machine Learning for Astrological Predictions.- A Comparative Analysis of Machine Learning Approaches in Personality Prediction Using MBTI.- Performance Analysis of OFDM System on Multipath Fading and Inter Symbol Interference (ISI) Using AWGN.- Object Detection and Classification from a Real Time Video using SSD and YOLO Models.- A skin cancer image detection interface tool using VLF support vector machine classification.- Convolutional Neural Networks based Sentence Level Classification of Crime Documents.- An optimum fuzzy EOQ model for deteriorating items with shortages in a particular period.- Bangla Spoken numerals recognition by using HMM.

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Book SynopsisThis book contains eleven original and survey scientific research articles arose from presentations given by invited speakers at International Workshop on Image Processing and Inverse Problems, held in Beijing Computational Science Research Center, Beijing, China, April 21–24, 2018. The book was dedicated to Professor Raymond Chan on the occasion of his 60th birthday.The contents of the book cover topics including image reconstruction, image segmentation, image registration, inverse problems and so on. Deep learning, PDE, statistical theory based research methods and techniques were discussed. The state-of-the-art developments on mathematical analysis, advanced modeling, efficient algorithm and applications were presented. The collected papers in this book also give new research trends in deep learning and optimization for imaging science. It should be a good reference for researchers working on related problems, as well as for researchers working on computer vision and visualization, inverse problems, image processing and medical imaging.Table of ContentsPoint Spread Function Engineering for 3D Imaging of Space Debris using a Continuous Exact $\ell_0$ Penalty (CEL0) Based Algorithm\.- An Adjoint State Method for a Schr\"odinger Inverse Problem.- On A New Diffeomorphic Multi-modality Image Registration Model and Its Convergent Gauss-Newton Solver.- Fast Algorithms for Surface Reconstruction from Point Cloud.- A Total Variation Regularization Method for Inverse Source Problem with Uniform Noise.- AUTOMATIC PARAMETER SELECTION BASED ON RESIDUAL WHITENESS FOR CONVEX NON-CONVEX VARIATIONAL RESTORATION.- Total Variation Gamma Correction Method for Tone Mapped HDR Images.- On the Optimal Proximal Parameter of an ADMM-like Splitting Method for Separable Convex Programming.- A new initialization method for neural networks with weight sharing.- The Shortest path amid 3-D polyhedral obstacles.- Multigrid Methods for Image Registration Model based on Optimal Mass Transport.

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Book SynopsisThis book focuses on end-to-end robotic applications using vision and control algorithms, exposing its readers to design innovative solutions towards sensors-guided robotic bin-picking and assembly in an unstructured environment. The use of sensor fusion is demonstrated through a bin-picking task of texture-less cylindrical objects. The system identification techniques are also discussed for obtaining precise kinematic and dynamic parameters of an industrial robot which facilitates the control schemes to perform pick-and-place tasks autonomously without any interference from the user. The uniqueness of this book lies in a judicious balance between theory and technology within the context of industrial application. Therefore, it will be valuable to researchers working in the area of vision- and force control- based robotics, as well as beginners in this inter-disciplinary area, as it deals with the basics and technologically advanced research strategies.Table of ContentsIntroduction.- Vision System and Calibration.- Uncertainty and Sensitivity Analysis.- Identification.- Force Control and Assembly.- Integrated Assembly and Performance Evaluation.- Conclusion.- Vision and Uncertainty Analysis.- Robot Jacobian.- Code Snippets and Experimental Videos.

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Book SynopsisThis book constitutes the refereed proceedings of the 16th Conference on Image and Graphics Technologies and Applications, IGTA 2021, held in Beijing, China in June, 2021. The 21 papers presented were carefully reviewed and selected from 86 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR, as well as image technology applications. The volume contains the following thematic blocks: image processing and enhancement techniques (image information acquisition, image/video coding, image/video transmission, image/video storage, compression, completion, dehazing, reconstruction and display, etc.); biometric identification techniques (biometric identification and authentication techniques including face, fingerprint, iris and palm-print, etc.); machine vision and 3D reconstruction (visual information acquisition, camera calibration, stereo vision, 3D reconstruction, and applications of machine vision in industrial inspection, etc.); image/video big data analysis and understanding (object detection and recognition, image/video retrieval, image segmentation, matching, analysis and understanding); computer graphics (modeling, rendering, algorithm simplification and acceleration techniques, realistic scene generation, 3D reconstruction algorithm, system and application, etc.); virtual reality and human-computer interaction (virtual scene generation techniques, tracing and positioning techniques for large-scale space, augmented reality techniques, human-computer interaction techniques based on computer vision, etc.); applications of image and graphics (image/video processing and transmission, biomedical engineering applications, information security, digital watermarking, text processing and transmission, remote sensing, telemetering, etc.); other research works and surveys related to the applications of image and graphics technology.Table of ContentsImage processing and enhancement techniques.- Biometric identification techniques.- Machine vision and 3D reconstruction.- Image/Video big data analysis and understanding.- Computer graphics.- Virtual reality and human-computer interaction.- Applications of image and graphics.

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Book SynopsisThis book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks. In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.Table of ContentsWhat's In This Book and Why?.- Media Forensics in the Age of Disinformation.- Computational Imaging.- Sensor Fingerprints: Camera Identification and Beyond.- Source Camera Attribution from Videos.- Source Camera Model Identification.- GAN Fingerprints in Face Image Synthesis.- Physical Integrity.

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Book SynopsisThis book presents a detailed study of key points and block-based copy-move forgery detection techniques with a critical discussion about their pros and cons. It also highlights the directions for further development in image forgery detection. The book includes various publicly available standard image copy-move forgery datasets that are experimentally analyzed and presented with complete descriptions. Five different image copy-move forgery detection techniques are implemented to overcome the limitations of existing copy-move forgery detection techniques. The key focus of work is to reduce the computational time without adversely affecting the efficiency of these techniques. In addition, these techniques are also robust to geometric transformation attacks like rotation, scaling, or both.Table of ContentsIntroduction.- Background Study and Analysis.- Copy-Move Forgery Detection using Local Binary Pattern Histogram Fourier Features.- Blur Invariant Block-based CMFD System using FWHT Features.- Geometric Transformation Invariant Improved Block based Copy-Move Forgery Detection.- Key-points based Enhanced Copy-Move Forgery Detection System using DBSCAN Clustering Algorithm.- Image Copy-Move Forgery Detection using Deep Convolutional Neural Networks.

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Book SynopsisThis book features research papers presented at the 5th International Conference on Intelligent Sustainable Systems (ICISS 2022), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 17–18, 2022. The book discusses latest research works that discusses the tools, methodologies, practices, and applications of sustainable systems and computational intelligence methodologies. The book is beneficial for readers from both academia and industry.Table of ContentsChapter 1. Lung Ultrasound Covid-19 Detection using Deep Feature Recursive Neural Network.- Chapter 2. Predicting New York Taxi Trip Duration based on Regression Analysis using ML and Time Series Forecasting using DL.- Chapter 3. Implementation of Classical Error Control Codes for Memory Storage Systems using VERILOG.- Chapter 4. Parkinson’s Disease Detection using Machine Learning.- Chapter 5. Sustainable Consumption: An Approach to Achieve the Sustainable Environment in India.- Chapter 6. The Concept of a Digital Marketing Communication Model for Higher Education Institutions.- Chapter 7. A Lightweight Image Colorization Model based on U-Net Architecture.- Chapter 8. Comparative Analysis of Obesity Level Estimation based on Life-Style using Machine Learning.- Chapter 9. An empirical Study on Millennials' Adoption of Mobile Wallets.- Chapter 10. AIoT Based Smart Mirror.- Chapter 11. AI Assisted College Recommendation System.- Chapter 12. An Agent-based Model to Predict the Emergence of Student Protests in Public Higher Education Institution.- Chapter 13. High Accuracy for Hyperspectral Image Classification using Hybrid Spectral 3-D-2-D CNN.- Chapter 14. Design Smart Curtain Using Light Dependent Resistor.- Chapter 15. Machine Learning Assisted Binary and Multiclass Parkinson's Disease Detection. etc.

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Book SynopsisThis book contains peer-reviewed selected papers of the 7th International Conference on Educational Innovation (CIIE 2020). It presents excellent educational practices and technologies complemented by various innovative approaches that enhance educational outcomes. In line with the Sustainable Development Goal 4 of UNESCO in the 2030 agenda, CIIE 2020 has attempted to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.” The CIIE 2020 proceeding offers diverse dissemination of innovations, knowledge, and lessons learned to familiarize readership with new pedagogical-oriented, technology-driven educational strategies along with their applications to emphasize their impact on a large spectrum of stakeholders including students, teachers and professors, administrators, policymakers, entrepreneurs, governments, international organizations, and NGOs.Table of ContentsNatural Language Processing for Video Essays and Podcasts in Engineering.- Action Research as a Way to Guide Research Projects in Engineering.- A Contrast-Pattern Characterization of Web Site Visitors in Terms of Conversions.- Massive-Flexible Digital Courses During COVID-19 Pandemic: From Course Structure to Enabling Tools.- Design of a Novel High School Mathematics Class Through the Usability Analysis of a Robot Implementation.

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Book SynopsisThis book constitutes the refereed proceedings of the 17th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2022, held in Beijing, China, during April 23–24, 2022.The 25 full papers included in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: image processing and enhancement techniques; machine vision and 3D reconstruction; image/Video big data analysis and understanding; computer graphics; visualization and visual analysis; applications of image and graphics.Table of ContentsImage processing and enhancement techniques.- Multi-Resolution Parallel Aggregation Network for Single Image Deraining.- Multi-scale Bézier filter based infrared and visual image fusion.- Towards Neural Video Compression: A Rate Distortion Modeling Perspective.- A Fast Line and Ellipse Detection on High Resolution Images.- Quality Assurance and Verification of GFDM Satellite Imagery.- Machine vision and 3D reconstruction.- BSIHKS of 3D point cloud model and model matching: bi-temporal scaling invariant heat kernel signature.- A review of solutions to stereo correspondence challenges.- Low Overlapping Plant Point Cloud Registration and Splicing Method Based on FPFH.- Integration of Depth Normal Consistency and Depth Map Refinement for MVS Reconstruction.- Image/Video big data analysis and understanding.- Adaptive Registration for Multi-type Remote Sensing Images via Dynamic Feature Selection.- Deform-CAM: Self-Attention Based on Deformable Convolution for Weakly Supervised Semantic Segmentation.- Density-NMS: Cell Detection and Classification in Microscopy images.- Face Detection in Distorted Images Based onImage Restoration and Meta-learning.- Person Re-identification using Multi-branch Cooperative Network.- Cross-domain object detection through Image-Category features joint alignment.- Detection of abnormal crowd behavior based on ViBE and Optical flow methods.- Generating Lymphoma ultrasound image description with Transformer model.- Computer graphics.- Accelerated Photon Mapping for Homogeneous Participating Media Based on Octree.- Visualization and visual analysis.- A Survey of Literature Analysis Methods based on Representation Learning.- Applications of image and graphics.- A MobileNet SSDLite Model with Improved FPN for Forest Fire Detection.- Applications of Photogrammetry and Remote Sensing Technologies in Tianwen-1 Mission.- MRI Brain Tumor Classification Based on EfficientNet with Non-rigid Transformations.- Design and Implementation of a Digital Star Map Simulation Module.- Design and Implementation of The Search System Based on The Airborne Multi-mode Imaging Cloud Platform.- Method for Imaging Quality Evaluation of Onboard Camera of Image-guided Projectile.- Stroke Based Painting with 3D Perception.

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Book SynopsisThis book constitutes refereed proceedings of the 4th International Conference on Recent Trends in Advanced Computing - Computer Vision and Machine Intelligence Paradigms for Sustainable Development Goals. This book covers novel and state-of-the-art methods in computer vision coupled with intelligent techniques including machine learning, deep learning, and soft computing techniques. The contents of this book will be useful to researchers from industry and academia. This book includes contemporary innovations, trends, and concerns in computer vision with recommended solutions to real-world problems adhering to sustainable development from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.Table of ContentsPTZ-camera-based facial expression analysis using faster R-CNN for student engagement recognitionConvergence Perceptual Model for Computing Time-Series-Data on Fog-EnvironmentLocalized Super Resolution for Foreground Images using U-Net and MR-CNNSMS Spam Classification Using PSO-C4.5Automated Sorting, Grading of Fruits Based on Internal and External Quality Assessment Using HSI, Deep CNNPest Detection using Improvised YOLO ArchitectureClassification of Fungi Effected Psidium Guajava Leaves using ML and DL TechniquesDeep Learning Based Recognition of Plant DiseasesArtificial Cognition of Temporal Events using Recurrent Point Process NetworksOn the Performance of Energy Efficient Video Transmission over LEACH based protocol in WSNHybridization of Texture Features for Identification of Bi-lingual Scripts from Camera Images at WordlevelAdvanced Algorithmic Techniques for Topic Prediction and Recommendation - An AnalysisImplementation of an automatic EEG feature extraction with Gated Recurrent Neural Network for Emotion Recognition.

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Book SynopsisThis book presents and analyzes methods to perform image co-segmentation. In this book, the authors describe efficient solutions to this problem ensuring robustness and accuracy, and provide theoretical analysis for the same. Six different methods for image co-segmentation are presented. These methods use concepts from statistical mode detection, subgraph matching, latent class graph, region growing, graph CNN, conditional encoder–decoder network, meta-learning, conditional variational encoder–decoder, and attention mechanisms. The authors have included several block diagrams and illustrative examples for the ease of readers. This book is a highly useful resource to researchers and academicians not only in the specific area of image co-segmentation but also in related areas of image processing, graph neural networks, statistical learning, and few-shot learning.Table of ContentsIntroduction.- Survey of Image Co-segmentation.- Mathematical Background.- Co-segmentation using a Classification Framework.- Use of Maximum Common Subgraph Matching.- Maximally Occurring Common Subgraph Matching.- Co-segmentation using Graph Convolutional Neural Network.- Use of a Conditional Siamese Convolutional Network.- Few-shot Learning for Co-segmentation.- Conclusions.

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Book SynopsisConvolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.Table of Contents

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