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Features
Details the latest advances in indexing, retrieval, analysis, and processing
Describes state-of-the-art schemes and applications, as well as trends and future challenges
Covers topics such as content creation, the semantic web, and efficiency and scalability
Presents novel methods and applications in an informative and reproducible way
Includes examples, illustrations, tables, bibliographic links, and SI and US units
Provides a complete reference of techniques, algorithms, and solutions
Supplies authoritative guidance on research and deployment issues
Summary
Broad in scope, Semantic Multimedia Analysis and Processing provides a complete reference of techniques, algorithms, and solutions for the design and the implementation of contemporary multimedia systems. Offering a balanced, global look at the latest advances in semantic indexing, retrieval, analysis, and processing of multimedia, the book features the contributions of renowned researchers from around the world. Its contents are based on four fundamental thematic pillars: 1) information and content retrieval, 2) semantic knowledge exploitation paradigms, 3) multimedia personalization, and 4) human-computer affective multimedia interaction. Its 15 chapters cover key topics such as content creation, annotation and modeling for the semantic web, multimedia content understanding, and efficiency and scalability.
Fostering a deeper understanding of a popular area of research, the text:
Describes state-of-the-art schemes and applications
Supplies authoritative guidance on research and deployment issues
Presents novel methods and applications in an informative and reproducible way
Contains numerous examples, illustrations, and tables summarizing results from quantitative studies
Considers ongoing trends and designates future challenges and research perspectives
Includes bibliographic links for further exploration
Uses both SI and US units
Ideal for engineers and scientists specializing in the design of multimedia systems, software applications, and image/video analysis and processing technologies, Semantic Multimedia Analysis and Processing aids researchers, practitioners, and developers in finding innovative solutions to existing problems, opening up new avenues of research in uncharted waters.
Table of Contents
Information and Content Retrieval
Image Retrieval Using Keywords: The Machine Learning Perspective
Zenonas Theodosiou and Nicolas Tsapatsoulis
Visual Search for Objects in a Complex Visual Context: What We Wish to See
Hugo Boujut, Aurélie Bugeau, and Jenny Benois-Pineau
Visual-Semantic Context Learning for Image Classification
Qianni Zhang and Ebroul Izquierdo
Restructuring Multimodal Interaction Data for Browsing and Search
Saturnino Luz
Semantic Enrichment for Automatic Image Retrieval
Clement H. C. Leung and Yuanxi Li
Semantic Knowledge Exploitation and Applications
Engineering Fuzzy Ontologies for Semantic Processing of Vague Knowledge
Panos Alexopoulos
Spatiotemporal Event Visualization on Top of Google Earth
Chrisa Tsinaraki, Fotis Kazasis, Nikolaos Tarantilis, Nektarios Gioldasis, and Stavros Christodoulakis
Enrich the Expressiveness of Multimedia Document Adaptation Processes
Adel Alti, Sébastien Laborie, and Philippe Roose
Multimedia Personalization
When TV Meets the Web: Towards Personalised Digital Media
Dorothea Tsatsou, Matei Mancas, Jaroslav Kuchar, Lyndon Nixon, Miroslav Vacura, Julien Leroy, François Rocca, and Vasileios Mezaris
An Approach for Context-Aware Semantic Recommendations in Future Internet
Yannick Naudet, Valentin Groués, Sabrina Mignon, Gérald Arnould, Muriel Foulonneau, Younes Djaghloul, and Djamel Khadraoui
Treating Collective Intelligence in Online Media
Markos Avlonitis, Ioannis Karydis, Konstantinos Chorianopoulos, and Spyros Sioutas
Semantics-Based and Time-Aware Composition of Personalized e-Commerce Services on the Cloud
Yolanda Blanco-Fernandez, Martin Lopez-Nores, and Jose J. Pazos-Arias
Authoring of Multimedia Content: A Survey of 20 Years of Research
Ansgar Scherp
Human-Computer Affective Multimedia Interaction
An Overview of Affective Computing from the Physiology and Biomedical Perspective
Ilias Maglogiannis, Eirini Kalatha, and Efrosyni-Alkisti Paraskevopoulou-Kollia
Affective Natural Interaction Using EEG: Technologies, Applications, and Future Directions
Charline Hondrou, George Caridakis, Kostas Karpouzis, and Stefanos Kollias
Bibliography
Index