Advances in Semantic Media Adaptation and Personalization, Volume 2

The 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 users’ 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 Automatic Content Feature Extraction to Content Models Semantic Languages for Content Description Video Content Adaptation Adaptive Video Content Retrieval Content Similarity Detection Personalized Content Podcasting Adaptive Web Interaction As content and service providers recognize the value of new services and new markets, they will invest in technologies that adapt and personalize content. Industry, in response, has released new standards such as MPEG-7, MPEG21, and VC-1 that enable propagation of semantic media, adaptation, and personalization. Consequently, a broad range of applications are emerging across many industry sectors, such as music, film, games, television, and sports. Bringing together insight from researchers and practitioners, this book provides a sampling of the latest thinking in the field.

Multimedia Metadata 2.0: Challenges of Collaborative Content Modeling, D. Daylamani Zad and H. Agius Introduction Challenges of MM 2.0 Suitability of MPEG-7 in Meeting the Challenges Conclusion Research Directions toward User-Centric Multimedia, B. Reiterer, J. Lachner, A. Lorenz, A. Zimmermann, and H. Hellwagner Introduction Vision of User-Centric Multimedia Personalization and Context Management Content Adaptation Implications Conclusion User-Centered Adaptation of User Interfaces for Heterogeneous Environments, J. Meskens, M. Haesen, K. Luyten, and K. Coninx Introduction MuiCSer Process Framework Models Designing for Transformation Runtime UI Adaptation Discussion Video Adaptation Based on Content Characteristics and Hardware Capabilities, O. Deniz Onur and A.A. Alatan Introduction Utility-Based Video Adaptation Subjective Video Evaluation Tests Conclusions Toward Next-Generation In-Flight Entertainment Systems: A Survey of the State of the Art and Possible Extensions, H. Liu, B. Salem, and M. Rauterberg Introduction Overview of the Current In-Flight Entertainment Systems Extending Capabilities of In-Flight Entertainment Systems to Increase Passengers’ Comfort Actively and Intelligently Conclusions Toward an Adaptive Video Retrieval System, F. Hopfgartner and J.M. Jose Introduction Background Research Framework NewsBoy Architecture Discussion On Using Information Retrieval Techniques for Semantic Media Adaptation, S. Laborie and A. Zimmermann Introduction Related Work Motivating Examples A Framework for Media Adaptation Media Adaptation by Semantic Web Retrieval Discussion Conclusion Interactive Video Browsing of H.264 Content Based on Just-in-Time Analysis, K. Schoffmann and L. Boszormenyi Introduction Related Work Interactive User Interface Feature Extraction from H.264 Experimental Results User Study Conclusions Personalized Faceted Navigation in Semantically Enriched Information Spaces, M. Tvarožek and M. Bielikova Introduction Related Work Personalized Faceted Navigation Overview Model for Relevance Evaluation Facet Recommendation Search Result Recommendation Evaluation Conclusions Personalized Audiovisual Content-Based Podcasting, E. Sanchez-Nielsen and F. Chavez-Gutierrez Introduction State of the Art Motivating Scenario: Personalized Podcast Publishing for Parliamentary Web Sites Customized Podcast Information System System Status Conclusions and Future Work Use of Similarity Detection Techniques for Adaptive News Content Delivery and User Profiling, B. Zaka, C. Safran, and F. Kappe Introduction Related Work Design of PINC System Architecture Prototype Summary and Future Work Toward an Adaptive and Personalized Web Interaction Using Human Factors, P. Germanakos, N. Tsianos, Z. Lekkas, C. Mourlas, M. Belk, and G. Samaras Introduction Theoretical Background AdaptiveWeb System’s Architecture Adaptation Process Evaluating System Performance Evaluation of the eLearning Paradigm Evaluation of the eCommerce Paradigm Conclusions and Future Work Image-Based Synthesis for Human Facial Expression, N. Ersotelos and F. Dong Introduction Previous Work Existing Technique and New Approach Implementation Results Discussions and Future Plans Conclusion Image Retrieval Using Particle Swarm Optimization, K. Chandramouli and E. Izquierdo Introduction Particle Swarm Optimization Related Work Proposed Approach Experimental Results Conclusion and Future Work Image Description Using Scale-Space Edge Pixel Directions Histogram, A.M.G. Pinheiro Introduction Scale-Space Edge Pixel Directions Histogram Image Classifi cation Using Scale-Space Edge Pixel Directions Histogram Final Remarks and Future Work Semantic Language for Description and Detection of Visual Events, A. Azough, A. Delteil, F. De Marchi, and M.-S. Hacid Introduction Related Work Our Contribution Modeling Visual Events High-Level Events Detection Video-Guided Monitoring of Behavior MPEG-7 Annotation Validation Conclusion and Perspectives MPEG-7-Based Semantic Indexing of Film Heritage Audiovisual Content, Y. Cobos Campos, M.T. Linaza Saldana, C. Sarasua Saldana, A. Garcia Gangoiti, and I. Torre Millan Introduction Related Work Application Scenario: Th e CINeSPACE Project CINeSPACE and MPEG-7 CINeSPACE Annotation Tool Results Conclusions and Future Work Automatic Feature Extraction to an MPEG-7 Content Model, M.J. Parmar and M.C. Angelides Introduction Related Work Feature Extraction Framework Modeling Content in MPEG-7 Conclusion Index