Computer vision Books

Book SynopsisThis two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023.The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; detection, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems.Table of ContentsSegmentation, Grouping, and Shape.- Vision for Robotics and Autonomous Vehicles.- Biometrics, Faces, Body Gestures and Pose.- 3D Vision from Multiview and other Sensors.- Vision Applications and Systems.

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Book SynopsisThis 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.Table of ContentsTowards a Complete Analysis of People: From Face and Body to Clothes (T-CAP).- 12th International Workshop on Human Behavior Understanding (HBU).- Theories, Applications, and Cross Modality for Self-Supervised Learning Models (SSL).- Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS 2022).- Fairness in Biometric Systems (FAIRBIO).- 2nd International Workshop on Artificial Intelligence for Healthcare Applications (AIHA 2022).- Multimodal Data for Mental Disorder Recognition (MDMR).- MANPU 2022 : The 5th International Workshop on coMics ANalysis, Processing and Understanding.- Image Analysis for Forest Environmental Monitoring (FOREST).- MultiMedia FORensics in the WILD (MMFORWILD 2022).- Image Mining: Theory and Applications (IMTA-VIII).- International Workshop on Pattern Recognition in Healthcare Analytics (PRHA 2022).- International Workshop on Industrial Machine Learning (IML).- 3rd International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2022).- 2nd Workshop on Explainable and Ethical AI (XAIE 2022).- 12th Workshop on Pattern Recognition in Remote Sensing (PRRS).- Understanding and Mitigating Demographic Bias in Biometric Systems (UMDBB).- Artificial Intelligence for Multimedia Forensics and Disinformation Detection (AI4MFDD).- 3rd Workshop on Applied Multimodal Affect Recognition (AMAR).

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Book SynopsisThis 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.Table of ContentsTowards a Complete Analysis of People: From Face and Body to Clothes (T-CAP).- 12th International Workshop on Human Behavior Understanding (HBU).- Theories, Applications, and Cross Modality for Self-Supervised Learning Models (SSL).- Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS 2022).- Fairness in Biometric Systems (FAIRBIO).- 2nd International Workshop on Artificial Intelligence for Healthcare Applications (AIHA 2022).- Multimodal Data for Mental Disorder Recognition (MDMR).- MANPU 2022 : The 5th International Workshop on coMics ANalysis, Processing and Understanding.- Image Analysis for Forest Environmental Monitoring (FOREST).- MultiMedia FORensics in the WILD (MMFORWILD 2022).- Image Mining: Theory and Applications (IMTA-VIII).- International Workshop on Pattern Recognition in Healthcare Analytics (PRHA 2022).- International Workshop on Industrial Machine Learning (IML).- 3rd International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2022).- 2nd Workshop on Explainable and Ethical AI (XAIE 2022).- 12th Workshop on Pattern Recognition in Remote Sensing (PRRS).- Understanding and Mitigating Demographic Bias in Biometric Systems (UMDBB).- Artificial Intelligence for Multimedia Forensics and Disinformation Detection (AI4MFDD).- 3rd Workshop on Applied Multimodal Affect Recognition (AMAR).

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Book SynopsisThis book constitutes the refereed proceedings of the 24th Annual Conference Towards Autonomous Robotic Systems, TAROS 2023, held in Cambridge, UK, during September 13–15, 2023.The 40 full papers presented in this book were carefully reviewed and selected from 70 submissions.They cover a wide range of different topics such as: agri-food robotics; autonomy; collaborative and service robotics; locomotion and manipulation; machine vision; multi-robot systems; soft robotics; tactile sensing; and teleoperation.Table of Contents​Agri-food Robotics.- Plant phenotyping using DLT method: Towards retrieving the delicate features in a dynamic environment.- Rapid Development and Performance Evaluation of a Potato Planting Robot.- An Automated Precision Spraying Evaluation System.- Smart Parking System Using Heuristic Optimization For Autonomous Transportation Robots In Agriculture.- Closed-Loop Robotic Cooking of Soups with Multi-modal Taste Feedback.- Folding Morphing-wheg Duct-entry Robot for Nuclear Characterisation.- Autonomy.- Occupancy Map Abstraction for Higher Level Mission Planning of Autonomous Robotic Exploration in Hazardous Nuclear Environments.- Spiral Sweeping Protocols for Detection of Smart Evaders.- Action Recognition for Improving Pedestrian Intent Prediction.- Evaluation of SLAM algorithms for Search and Rescue applications.- Developing an Integrated Runtime Verification for Safety and Security of Industrial Robot Inspection System.- Collaborative and Service Robotics.- Sonification of Ionising Radiation Data for Robot Operators.- Automating a Telepresence Robot for Human Detection, Tracking, and Following.- Towards Multimodal Sensing and Interaction for Assistive Autonomous Robots.- Locomotion and Manipulation.- CPG-based locomotion control of a quadruped robot with an active spine.- Low-resolution sensing for sim-to-real complex terrain robots.- Towards wait-and-catch routine of a dynamic swinging object using a prototype robotic arm manipulator.- Simultaneous Base and Arm Trajectories for Multi-Target Mobile Agri-Robot.- Design and kinematic analysis of a 3D-printed 3DOF robotic manipulandum.- Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-place.- Machine Vision.- Fast 3D Semantic Segmentation Using a Self Attention Network and Random Sampling.- An assessment of self-supervised learning for data efficient potato instance segmentation.- Automated 3D Mapping, localization and pavement inspection with low cost RGB-D cameras and IMUs.- Optimized Custom Dataset for Efficient Detection of Underwater Trash.- A Geometric Algebra Solution to the 3D Registration Problem.- Active Anomaly Detection for Autonomous Robots: a Benchmark.- Multi-robot Systems.- Hardware Validation of Adaptive Fault Diagnosis in Swarm Robots.- Mobile Robots For Collaborative Manipulation Over Uneven Ground Using Decentralised Impedance Control.- Multi-agent Collaborative Target Search Based on Curiosity Intrinsic Motivation.- Simulation of Collective Bernoulli-Ball System for Characterizing Dynamic Self-stability.- Soft Robotics.- Casting vs injection moulding: a comparison study for in-lab low-cost soft robot fabrication.- Estimation of Soft Body Deformation by Using Light.- Reduced-Order Modeling of a Soft Anthropomorphic Finger for Piano Keystrokes.- Tactile Sensing.- Multi-directional Force and Tactile Sensor Sleeves for Micro Catheters and Cannulas.- Towards smooth human-robot handover with a vision-based tactile sensor.- Feeling Good: Validation of Bilateral Tactile Telemanipulation for a Dexterous Robot.- Teleoperation.- Comparative study of hand-tracking and traditional control interfaces for remote palpation.- 5G-based Low-Latency Teleoperation: Two-way Timeout Approach.- Generative Model-based Simulation of Driver Behavior when Using Control Input Interface for Teleoperated Driving in Unstructured Canyon Terrains.- Implementation of a Stereo Vision System for a Mixed Reality Robot Teleoperation Simulator.

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Book SynopsisThis book constitutes the refereed proceedings of the 10th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.The 16 papers presented at OMIA 2023 were carefully reviewed and selected from 27 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies.

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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​PAR Contest 2023.- Contest 2023: Pedestrian Attributes Recognition with Multi-Task Learning.- Evaluation of a Visual Question Answering Architecture for Pedestrian Attribute Recognition.- Deep Learning.- True Rank Guided Efficient Neural Architecture Search for End to End Low-Complexity Network Discovery.- Explainability-enhanced neural network for thoracic diagnosis improvement.- A comparison of neural network-based super-resolution models on 3D rendered images.- Safe Robot Navigation in Indoor Healthcare Workspaces.- EMBiL: An English-Manipuri Bi-lingual benchmark for scene text detection and language identification.- Low-dimensionality information extraction model for semi-structured documents.- Machine Learning for Image and Pattern Analysis.- Downsampling GAN for Small Object Data Augmentation.- Model regularisation for skin lesion symmetry classification: SymDerm v2.0.- Robust Adversarial Defense: Use of Auto-Inpainting.- Generalized Median Computation for Consensus Learning: A Brief Survey.- Efficient Representation Learning for Inner Speech Domain Generalization.- Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-tuning.- Towards Robust Colour Texture Classification with Limited Training Data.- Explaining StyleGAN Synthesized Swimmer Images in Low-Dimensional Space.- Interpolation Kernel Machines: Reducing Multiclass to Binary.- Knowledge Guided Deep Learning for General-Purpose Computer Vision Applications.- Teaching Computer Programming with Mathematics for Generating Digital Videos and Machine Learning Optimization.- Performance characterization of 2D CNN features for partial video copy detection.- Semi-Automated Patch-based Segmentation of Different Size Groups of Brain Metastases in MRI Images.- Texture analysis contribution to evaluating the common carotid artery’s stroke risk using structural equation modeling.- Object Recognition and Segmentation.- Domain-Adaptive Data Synthesis for Large-Scale Supermarket Product Recognition.- PSM-PS: Part-based Signal Modulation for Person Search.- Fast Video Instance Segmentation via Recurrent Encoder-based Transformers.- Fast Context Adaptation for Video Object Segmentation.- ALPR - A Method for Identifying License Plates using Sequential Information.- Non-separable Moments in 3D.

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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 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 volume constitutes the refereed proceedings of the 9th International Conference of the Immersive Learning Network, iLRN 2023, held in San Luis Obispo, USA, in June 2023 as a hybrid event.The 26 revised full papers and 13 shprt papers presented in this volume were carefully reviewed and selected from 110 submissions. The papers are organized in topical sections on foundations in immersive learning research and theory; assessment and evaluation; galleries, libraries, archives and museums; inclusion, diversity, equity, access, and social justice; STEM education; language, culture and heritage; nature & environmental sciences; workforce development & industry training; self and co-regulated learning with immersive learning environments; special track: immersive learning across Latin America: state of research, use cases and projects.Table of ContentsFoundations in Immersive Learning Research and Theory.- Assessment and Evaluation (A&E).- Galleries, Libraries, Archives and Museums (GLAM).- Inclusion, Diversity, Equity, Access, and Social Justice (IDEAS).- STEM Education (STEM).- Language, Culture and Heritage (LCH).- Nature & Environmental Sciences (NES).- Workforce Development & Industry Training (WDIT).- Self and Co-regulated Learning with Immersive Learning Environments (SCILE).- Special Track: Immersive learning across Latin America: State of Research, Use Cases and Projects.

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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 book constitutes the refereed proceedings of the 20th International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2024, which was held in Bhubaneswar, India, during January 17–20, 2024. The 24 full papers presented in this volume were carefully reviewed and selected from 116 submissions. The papers are organized in the following topical sections: Distributed Computing (DC) and Intelligent Technology (IT). The DC track solicits original research papers contributing to the foundations and applications of distributed computing, whereas the IT track solicits original research papers contributing to the foundations and applications of Intelligent Technology.Table of Contents​Distributed Computing.- Utility driven joint time-and-power allocation in Energy-Harvesting Cognitive Radio Relay Networks.- An Improved and Efficient Distributed Computing Framework with Intelligent Task Scheduling.- Scheduling of Containerized Resources for Microservices in Cloud.- ELITE: Energy and Latency-Optimized Task Offloading forDVFS-Enabled Resource-Constrained Devices in MEC.- Parking Problem by Oblivious Mobile Robots in Infinite Grids.- The Computational Landscape of Autonomous Mobile Robots: The Visibility Perspective.- Coverage Criteria based Testing of IoT Applications.- An Online Algorithm for Cost Minimization of Amazon EC2 Burstable Resources.- A Practical and Efficient Key-Aggregate Cryptosystem for Dynamic Access Control in Cloud Storage.- Intelligent Technology.- Prediction of Failure in Scania Truck due to Air Pressure System Failure.- A Multi-Class Classification for Detection of IoT Network attacks using machine learning models.- Optimizing Sentiment Analysis on Twitter: Leveraging Hybrid Deep Learning Models for Enhanced Efficiency.- Identification of onset and progression of Alzheimer’s disease using Topological Data Analysis.- Enhancing Mario Gaming Using Optimized Reinforcement Learning.- Deep Learning in Industry 4.0: Transforming Manufacturing through Data-Driven Innovation.- SASE: Sentiment Analysis with aspect Specific Evaluation using deep learning with hybrid contextual embedding.- A Genetic Algorithm-Based Heuristic for Rumour Minimization in Social Networks.- A Machine Learning driven Approach For Parkinson’s Prediction using Temporal Data.- Prediction of High-resolution Soil Moisture using Multi-source Data and Machine Learning.- Evaluating Deep CNNs and Vision Transformers for Plant Leaf Disease Classification.- Intelligent Ensemble-Based Road Crack Detection: A Holistic View.- Online Payment Fraud Detection for Big Data.- Bursty Event Detection Model for Twitter.- A General Variable Neighborhood Search Approach for the Clustered Traveling Salesman Problem with d-Relaxed Priority Rule.

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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 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 ContentsGlobal-to-Local Feature Mining Network for RGB-Infrared Person Re-Identification.- Semantic Transition Detection for Self-Supervised Vide Scene Segmentation.- Multi-Task Collaborative Network for Image-text Retrieval.- FGENet:Fine-Grained Extraction Network for Congested Crowd Counting.- MSMV-UNet : A 2.5D Stroke Lesion Segmentation Method based on Multi-slice Feature Fusion.- Non-Local Spatial-Wise and Global Channel-Wise Transformer forEfficient Image Super-Resolution.- MobileViT-FocR: MobileViT with Fixed-One-Centre Loss and Gradient Reversal for Generalised Fake Face Detection.- ASF-Conformer: Audio Scoring Conformer with FFC for Speaker Verification in Noisy Environments.- Prior-Knowledge-Free Video Frame Interpolation with Bidirectional Regularized Implicit Neural Representations.- Two-Stage Reasoning Network with Modality Decomposition for TextVQA.- Localization and Local Motion Magnification of Pulsatile Regions in Endoscopic Surgery Videos.- Co-speech Gesture Generation with Variational Auto Encoder.- Differentiable Neural Architecture Search Based on Efficient Architecture for Lightweight Image Super-Resolution.- Learning Collaborative Reinforcement Attention for 3D Face Reconstruction and Dense Alignment.- Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization.- Object-based Spatio-Temporal Heterogeneous Network for VideoQA.- Adaptive Token Selection and Fusion Network for Multimodal Sentiment Analysis.- Exploring Imperceptible Adversarial Examples in YCbCr Color Space.- Fractional-order image moments and applications.- Time-Quality Tradeoff of MuseHash Query Processing Performance.- Dual-Fisheye Image Stitching via Unsupervised Deep Learning.- CA-GAN: Conditional Adaptive Generative Adversarial Network for Text-to-Image Synthesis.- RDC-YOLOv5:Improved Safety Helmet Detection in Adverse Weather.- Sustainable Commercial Fishery Control using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes.- MC-TCMNER: A Multi-Modal Fusion Model Combining Contrast Learning Method for Traditional Chinese Medicine NER.- C3-PO: A Convolutional Neural Network for COVID Onset Predictionfrom Cough Sounds.- Pseudo-label based Unsupervised Momentum Representation Learning for Multi-domain Image Retrieval.- DFGait: Decomposition Fusion Representation Learning for Multimodal Gait Recognition.- MoPE: Mixture of Pooling Experts Framework for Image-Text Retrieval.- Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation.- Unsupervised Multi-Collaborative Learning Network for 3D Face Reconstruction.- A Region Based Non-overlapping Reference Speech Estimation Method for Speaker Extraction.- Self-Supervised Edge Structure Learning for Multi-View Stereo and Parallel Optimization.- Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks.- A Language-based solution to enable Metaverse Retrieval.- Part-aware Prompt Tuning For Weakly Supervised Referring Expression Grounding.- Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning.- A Multidimensional Taxonomy Model for Music Tangible User Interfaces.

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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 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 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 SynopsisCognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

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Book SynopsisThis book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defi ned networking, congestion control, communication network optimization, security, and anomaly detection.

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Book SynopsisThis book provides research on the state-of-the-art methods for data management in the fourth industrial revolution, with particular focus on cloud.based data analytics for digital manufacturing infrastructures. Innovative techniques and methods for secure, flexible and profi table cloud manufacturing will be gathered to present advanced and specialized research in the selected area.

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Book SynopsisAugmented and Virtual Reality are revolutionizing present and future technologies: these are the fastest growing and most fascinating areas of technologies at present. This book aims to provide insight into the theory and applications of Augmented and Virtual Reality to multiple technologies such as IoT (Internet of Things), ML (Machine Learning), AI (Artifi cial Intelligence), Healthcare and Education.

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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 SynopsisSebastian T. Gollmer entwickelt neue Methoden und Algorithmen für die Erstellung statistischer Formmodelle, die Formmodellierung und die formmodellbasierte Bildsegmentierung. Der Autor diskutiert ihre Vorteile gegenüber den jeweils etablierten Verfahren aus der Literatur und evaluiert den generellen Einfluss dieser drei Aspekte auf die erzielbare Segmentierungsgenauigkeit. Letzteres erfolgt sowohl unter Verwendung neu entwickelter und etablierter Evaluierungsverfahren als auch im Rahmen realer Anwendungen. Von besonderer praktischer Relevanz zeigen sich dabei die exzellenten, mit einem neuen vollautomatischen Algorithmus erzielten Ergebnisse für die Unterkiefersegmentierung.Table of ContentsStatistische Formmodelle.- Evaluierung der Korrespondenzgüte.- Untersuchung der Normalverteilungsannahme.- Kernbasierte Formmodellierung.- Relaxiertes aktives Formmodell.- Unterkiefer- und Abdomensegmentierung.

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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 SynopsisTexture analysis is an important generic research area of machine vision. The potential areas of application include biomedical image analysis, industrial inspection, analysis of satellite or aerial imagery, content-based retrieval from image databases, document analysis, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding. Texture analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on “Texture Analysis in Machine Vision” was held at the University of Oulu, Finland, in 1999, providing a forum for presenting recent research results and for discussing how to make progress in order to increase the usefulness of texture in practical applications. This book contains extended and revised versions of the papers presented at the workshop. The first part of the book deals with texture analysis methodology, while the second part covers various applications. The book gives a unique view of different approaches and applications of texture analysis. It should be of great interest both to researchers of machine vision and to practitioners in various application areas.Table of ContentsNonparametric texture analysis with complementary spatial operators, M. Pietikainen and T. Ojala; multi-resolution clustering of texture images, S. Battiato and G. Gallo; robustness of local binary pattern (LBP) operators to tilt-compensated textures, M. Soriano et al; using texture in image similarity and retrieval S. Aksoy and R.M. Haralick; tongue texture analysis using Gabor wavelet opponent colour features for tongue diagnosis in traditional Chinese medicine, P.C. Yuen et al; feature evaluation of texture test objects for magnetic resonance imaging, A. Materka et al; automatic detection of errors on textures using invariant grey-scale features and polynomial classifiers, M. Schael and H. Burkhardt; combining analysis and synthesis of textures for the animation industry, M. Ollila et al. (Part contents)

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Book SynopsisThis book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.Table of Contents1. Introduction to Artificial Intelligence 2. Fuzzy logic and reasoning 3. Knowledge representation 4. Expert system 5. Information fusion 6. Time series analysis 7. Process mining 8. Simulation and optimization 9. Natural language processing 10. Computer vision 11. Conclusions

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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 SynopsisTransfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning. This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a “student’s” perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice.Table of ContentsPart I. Foundations of Transfer Learning.- Chapter 1. Introduction.- Chapter 2. From Machine Learning to Transfer Learning.- Chapter 3. Overview of Transfer Learning Algorithms.- Chapter 4. Instance Weighting Methods.- Chapter 5. Statistical Feature Transformation Methods.- Chapter 6. Geometrical Feature Transformation Methods.- Chapter 7. Theory, Evaluation, and Model Selection.- Part II. Modern Transfer Leaning.- Chapter 8. Pre-training and Fine-tuning.- Chapter 9. Deep Transfer Learning.- Chapter 10. Adversarial Transfer Learning.- Chapter 11. Generalization in Transfer Learning.- Chapter 12. Safe & Robust Transfer Learning.- Chapter 13. Transfer Learning in Complex Environments.- Chapter 14. Low-resource Learning.- Part III. Applications.- Chapter 15. Transfer Learning for Computer Vision.- Chapter 16. Transfer Learning for Natural language Processing.- Chapter 17. Transfer Learning for Speech Recognition.- Chapter 18. Transfer Learning for Activity Recognition.- Chapter 19. Federated Learning for Personalized Healthcare.- Chapter 20. Concluding Remarks.

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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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Book SynopsisTask Introduction.- Experimental Environment.- Algorithms.- Humans.- Machine-to-Machine Comparisons.- Visual Turing Test: Machine-to-Machine Comparisons.- More Human-like Task Design.- More Realistic Data Environment.- More Human-like Executors.- More Intelligent Evaluation.

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Book SynopsisMedical Image AnalysisAGTCNet: Hybrid Network Based on AGT and Curvature Information for Skin Lesion Detection.- Among General Spine Segmentation with Multi-scale and Discriminate Feature Fusion.- SSCL: A Spatial-Spectral and Commonality Learning Network for Semi-Supervised Medical Image Segmentation.- A Multiscale Edge-Guided Polynomial Approximation Network for Medical Image Segmentation.- HIFNet: Medical Image Segmentation Network Utilizing Hierarchical Attention Feature Fusion.- Ynet: medical image segmentation model based on wavelet transform boundary enhancement.- An Effective Algorithm for Skin Disease Segmentation Combining inter-channel Features and Spatial Feature Enhancement.- Detection and RecognitionA Comprehensive Framework for Fine-Grained Object Recognition in Remote Sensing.- Towards Reflected Object Detection: A Benchmark.- Consensus-aware Balance Learning for Sexually Suggestive Video Classification.- LightStar-Net: A Pseudo-Raw Space Enhancement for Efficient Low-Light Object Detection.- DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection.- Image Enhancement and GenerationDegradation-Aware Frequency-Separated Transformer for Blind Super-Resolution.- MAAU-UIE : Multiple Attention Aggregation U-Net for Underwater Image Enhancement.- MANet-CycleGAN: An Unsupervised LDCT Image Denoising Method Based on Channel Attention and Multi-Scale Features.- M3: Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask.- Agent-Conditioned Multi-Contrast MRI Super-Resolution for Cross-Subject.- Vision Modeling in Complex ScenariosSEA-Net: A Severity-Aware Network with Visual Prompt Tuning for Underwater Semantic Segmentation.- LAGNet: A Location-Aware Guidance Network for Weak and Strip Defect Detection.- Weighted Spatiotemporal Feature and Multi-task Learning for Masked Facial Expression Recognition.- MBGNet:Mamba-Based Boundary-Guided Multimodal Medical Image Segmentation Network.- MSD: A Mask-Guided  and Semantic-Guided Diffusion-based Framework for Stone Surface Defect Detection.- A New Heterogeneous Mixture of Experts Model for Deepfake Detection.

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Book Synopsis3D Geometry and RenderingCMU-Flownet: Exploring Point Cloud Scene Flow Estimation in Occluded Scenario.- 3DFaceController: Region-Controllable Face Synthesis via Decomposed and Recomposed Neural Radiance Fields.- High-Quality and Efficient Inverse Rendering for Geometry, Material, and Illumination Reconstruction.- An efficient and robust  tracing method based on matrix representation for surface-surface intersection.- Completing Dental Models While Preserving Crown Geometry and Meshing Topology.- TPD-NeRF: Temporally Progressive Reconstruction of Dynamic Neural Radiance Fields from Monocular Video.- Direct Extraction of High-Quality and Feature-Preserving Triangle Meshes from Signed Distance Functions.- MTScan: Material Transfer from Partial Scans to CAD models.- HR Human: Modeling Human Avatars with Triangular Mesh and High-Resolution Textures from Videos.- VGA: Reconstruction of Vivid Gaussian Avatar from Monocular Videos.- High-accuracy Fractured Object Reassembly under Arbitrary Poses.- Generation and EditingSingleDream: Attribute-Driven T2I Customization from a Single Reference Image.- Concept-Edge Fusion: Background Generation for Product Presentation Based on Text-to-Image Model.- Sketch-Guided Scene-level Image Editing with Diffusion Models.- Semantic-guided Coarse-to-Fine Diffusion Model for Self-supervised Image Shadow Removal.- Extreme Two-View Geometry From Object Poses with Diffusion Models.- TAD: A plug-and-play Task Arithmetic approach for augmenting Diffusion models.- DiffVecFont: Fusing Dual-Mode Reconstruct Vector Fonts via Masked Diffusion Transformers.-Image Processing and OptimizationCosCAD: Cross-Modal CAD Model Retrieval and Pose Alignment from a Single Image.- TCDNet: Texture and Color Dynamic Network for Image Harmonization.- Unsupervised Monocular Depth Estimation for Foggy Images with Domain Separation and Self-depth Domain Conversion.- Unwarping Screen Content Images via Structure-texture Enhancement Network and Transformation Self-estimation.

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