"Broad in scope, this book covers the most important aspects of semantic analysis and processing of multimedia, from algorithms to applications and from trends to future challenges. The editors invited renowned researchers to cover topics such as contentcreation, semantic web, multimedia content understanding, processing and management, efficiency and scalability, to name just a few. The top-notch editorial team, expert contributors, and breadth of coverage combine to make this book an authoritative reference for the design and the implementation of multimedia systems"--
In a a reference for fellow researchers and practitioners, computer scientists review the current status of the semantic analysis and processing of multimedia. They cover information and content retrieval, semantic knowledge exploitation paradigms, multimedia personalization, and human-computer affective multimedia interactions. Among specific topics are visual-semantic context learning for image classification, engineering fuzzy ontologies for the semantic processing of vague knowledge, enriching the expressiveness of multimedia document adaptation processes, treating collective intelligence in online media, and an overview of affective computing from physiological and biomedical perspectives. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)
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.
Information and Content Retrieval. Image Retrieval Using Keywords: The
Machine Learning Perspective. Visual Search for Objects in a Complex Visual
Context: What We Wish to See. Visual-Semantic Context Learning for Image
Classification. Restructuring Multimodal Interaction Data for Browsing and
Search. Semantic Enrichment for Automatic Image Retrieval. Semantic Knowledge
Exploitation and Applications. Engineering Fuzzy Ontologies for Semantic
Processing of Vague Knowledge. Spatiotemporal Event Visualization on Top of
Google Earth. Enrich the Expressiveness of Multimedia Document Adaptation
Processes. Multimedia Personalization. When TV Meets the Web: Towards
Personalised Digital Media. An Approach for Context-Aware Semantic
Recommendations in Future Internet. Treating Collective Intelligence in
Online Media. Semantics-Based and Time-Aware Composition of Personalized
e-Commerce Services on the Cloud. Authoring of Multimedia Content: A Survey
of 20 Years of Research. Human-Computer Affective Multimedia Interaction. An
Overview of Affective Computing from the Physiology and Biomedical
Perspective. Affective Natural Interaction Using EEG: Technologies,
Applications, and Future Directions. Bibliography. Index.
Dr. Evaggelos Spyrou holds a diploma in electrical and computer engineering with a specialty in telecommunications from the National Technical University of Athens (NTUA), Greece. His Ph.D thesis was in the field of semantic image and video analysis. His latest research interests include semantic multimedia analysis, indexing, and retrieval; low-level feature extraction and modeling; visual context modeling; multimedia content representation; neural networks; and intelligent systems. Widely published, he worked as researcher and developer at the Image, Video, and Multimedia Systems Laboratory of NTUA and as adjunct lecturer at the University of Western Macedonia, Kozani, Greece. He currently serves as scientific associate at the Technological Educational Institute of Central Greece, Lamia.
Dr. Dimitris Iakovidis holds a B.Sc, M.Sc, and Ph.D from the University of Athens, Greece. His considerable experience stems from his participation in multiple national and European research projects, and from adjunct academic positions at the University of Athens and the University of Central Greece, Lamia. Currently he is a professor at the Technological Educational Institute of Central Greece, Lamia. An IEEE and IAPR member, he is also head of the Institute of Information Technology, vice director of the Center for Technological Research of Central Greece, and an independent expert for the European Commission. Widely published, he is a book editor, editorial board member, and reviewer of several scientific journals.
Dr. Phivos Mylonas holds a diploma and Ph.D from the National Technical University of Athens (NTUA), Greece, as well as an M.Sc from the University of Athens, Greece. He is currently senior researcher at the Image, Video, and Multimedia Systems Laboratory of NTUA and an elected assistant professor at the Ionian University, Corfu, Greece. His research interests include content-based information retrieval, visual context representation and analysis, knowledge-assisted multimedia analysis, and issues related to multimedia personalization and user adaptation, modeling, and profiling. A widely published author, popular editor, journal reviewer, and conference organizer, he is a member of the Technical Chamber of Greece, the Hellenic Association of Mechanical and Electrical Engineers, and W3C, as well as a former member of IEEE and ACM.
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