Description
Book SynopsisThe emergence of content- and context-aware search engines, which not only personalize searching and delivery but also the content, has caused the emergence of new infrastructures capable of end-to-end ubiquitous transmission of personalized multimedia content to any device on any network at any time. Personalizing and adapting content requires processing of content and recognizing patterns in usersâ behaviour on the other. Personalizing and adapting the semantic content of multimedia enables applications to make just-in-time intelligent decisions regarding this content, which in turn makes interaction with the multimedia content an individual and individually rewarding experience. Highlighting the changing nature of the field, Advances in Semantic Media Adaptation and Personalization, Volume Two discusses the state of the art, recent advances, and future outlooks for semantic media adaptation and personalization.
Topics include:
- Collaborative Content Modeling
Table of Contents
Multimedia Metadata 2.0: Challenges of Collaborative Content Modelling. Research Directions toward User-centric Multimedia. User-Centred Adaptation of User Interfaces for Heterogeneous Environments. Video Adaptation Based on Content Characteristics and Hardware Capabilities. Towards Next Generation In-flight Entertainment Systems: A Survey of the State of the Art and Possible Extensions. Towards an Adaptive Video Retrieval System. On Using Information Retrieval Techniques for Semantic Media Adaptation. Interactive Video Browsing of H.264 Content based on Just-in-Time Analysis. Personalized Faceted Navigation in Semantically Enriched Information Spaces. Personalized Audiovisual Content-based Podcasting. Use of similarity detection techniques for adaptive news content delivery and user profiling. Towards an Adaptive and Personalized Web Interaction using Human Factors. Image Based Synthesis for Human facial Expression. Image Retrieval Using Particle Swarm Optimization. Image Description using Scale-Space Edge Pixel Directions Histogram. A Semantic Language for Description and Detection of Visual Events. MPEG-7 based semantic indexing of Film Heritage audio-visual content. Automatic Feature Extration to an MPEG-7 content model.
