Intelligent Systems for Video Analysis and Access Over the Internet
Published on 7. August 2002
Book
Hardback
208 pages
978-0-13-047117-8 (ISBN)
Description
New advances in real-time multimedia analysis, access, and Internet sharing. * The state of the art in automated multimedia content analysis, indexing, and access * Intelligent software agents for real time multimedia processing * New advances in organizing, presenting, and customizing multimedia information * Advanced algorithms for color, motion, sound, semantics, text, and video segmentation * Eliminating bottlenecks in Internet-based multimedia delivery systems In this book, Wensheng Zhou and C.-C. Jay Kuo survey the latest advances in efficient, automated multimedia content analysis, indexing, and access for the next-generation multimedia Web. They present powerful new algorithms for analyzing the perceptual and conceptual contents of any multimedia stream, and introduce intelligent software agents for processing and decomposing multimedia streams in real time. Finally, they demonstrate how to integrate automated video analysis, clustering, and classification to organize, present, and customize immense amounts of content with unprecedented performance.
Coverage includes: * New algorithms for analyzing color, motion, sound, semantics, and text * Accurate, high-performance algorithms for online video segmentation based on scene-change detection * Efficient decision-tree learning algorithms for linking perceptual features with semantic classifiers * Novel knowledge-based approaches for building video semantic inference/classification engines * Strategic deployment of intelligent software agents to eliminate bottlenecks * Hierarchical concept trees: Organizing videos for efficient and automated delivery Whether you're an engineer, systems designer, or researcher, Intelligent Systems for Video Analysis and Access Over the Internet brings together breakthroughs you can use to enhance virtually any networked multimedia application. IMSC Press Multimedia Series / Andrew Tescher, Series EditorPart of the new IMSC Press Series from the Integrated Multimedia System Center at the University of Southern California, a federally funded center specializing in cutting-edge multimedia research.
Coverage includes: * New algorithms for analyzing color, motion, sound, semantics, and text * Accurate, high-performance algorithms for online video segmentation based on scene-change detection * Efficient decision-tree learning algorithms for linking perceptual features with semantic classifiers * Novel knowledge-based approaches for building video semantic inference/classification engines * Strategic deployment of intelligent software agents to eliminate bottlenecks * Hierarchical concept trees: Organizing videos for efficient and automated delivery Whether you're an engineer, systems designer, or researcher, Intelligent Systems for Video Analysis and Access Over the Internet brings together breakthroughs you can use to enhance virtually any networked multimedia application. IMSC Press Multimedia Series / Andrew Tescher, Series EditorPart of the new IMSC Press Series from the Integrated Multimedia System Center at the University of Southern California, a federally funded center specializing in cutting-edge multimedia research.
More details
Language
English
Place of publication
Upper Saddle River
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Width: 243 mm
Thickness: 21 mm
Weight
593 gr
ISBN-13
978-0-13-047117-8 (9780130471178)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
WENSHENG ZHOU is a member of the Multimedia Information Access Group at the Information Sciences Lab of HRL Laboratories, LLC in Malibu, where she is currently working on the ISL's Semantic Multicast Project. She holds a Ph.D. in Electrical Engineering from the University of Southern California. Her research interests include digital signal processing, multimedia databases and networks, and knowledge-based image retrieval.
C.-C. JAY KUO is Professor of Electrical Engineering and Mathematics at the University of Southern California. His research interests include digital signal and image processing, audio and video coding, media communication technologies, delivery protocols, and network computing. He is Editor-in-Chief of the Journal of Visual Communication and Image Representation, Editor of the Journal of Information Science and Engineering, and Associate Editor of IEEE Transactions on Speech and Audio Processing.
C.-C. JAY KUO is Professor of Electrical Engineering and Mathematics at the University of Southern California. His research interests include digital signal and image processing, audio and video coding, media communication technologies, delivery protocols, and network computing. He is Editor-in-Chief of the Journal of Visual Communication and Image Representation, Editor of the Journal of Information Science and Engineering, and Associate Editor of IEEE Transactions on Speech and Audio Processing.
Content
Preface.
1. Introduction.
Challenges of Multimedia Information Access. Review of Previous Work. Information Dissemination by Multicast. System Overview. Roadmap of This Book. Outline of This Book.
2. On-Line Scene Change Detection of (MBONE) Multicast Video.
Introduction. Related Work. Scene Change Detection Algorithms and Implementation. Experimental Results and Discussion. Summary.
3. Video/Audio/Text Feature Representation and Analysis.
Introduction. Overall Software Structure. Visual Features Representation and Analysis. Motional Features Representation and Analysis. Audio Features Representation and Analysis. Text Feature Representation and Analysis.
4. Knowledge-Based Video Hierarchical Classification.
Introduction. Previous Work. Video Semantic Concept Tree. Decision Tree Learning Algorithm. Rule-Based Knowledge Base Construction. On-Line Knowledge-Based Video Classification System. Summary.
5. Experimental Results.
CNN News Video Segmentation and Indexing. Hierarchical Video Classification on NBC 2000 Olympic Video. Comparison with Previous Work. Summary.
6. System Integration.
Introduction. Semantic Multicast System Architecture. On-Line Video Content Analysis Implementation. Content Agent Coordination. Examples of System Usage. Summary.
7. Conclusion and Future Work.
Summary of This Research. Contributions of This Research. Future Work.
References.
Index.
1. Introduction.
Challenges of Multimedia Information Access. Review of Previous Work. Information Dissemination by Multicast. System Overview. Roadmap of This Book. Outline of This Book.
2. On-Line Scene Change Detection of (MBONE) Multicast Video.
Introduction. Related Work. Scene Change Detection Algorithms and Implementation. Experimental Results and Discussion. Summary.
3. Video/Audio/Text Feature Representation and Analysis.
Introduction. Overall Software Structure. Visual Features Representation and Analysis. Motional Features Representation and Analysis. Audio Features Representation and Analysis. Text Feature Representation and Analysis.
4. Knowledge-Based Video Hierarchical Classification.
Introduction. Previous Work. Video Semantic Concept Tree. Decision Tree Learning Algorithm. Rule-Based Knowledge Base Construction. On-Line Knowledge-Based Video Classification System. Summary.
5. Experimental Results.
CNN News Video Segmentation and Indexing. Hierarchical Video Classification on NBC 2000 Olympic Video. Comparison with Previous Work. Summary.
6. System Integration.
Introduction. Semantic Multicast System Architecture. On-Line Video Content Analysis Implementation. Content Agent Coordination. Examples of System Usage. Summary.
7. Conclusion and Future Work.
Summary of This Research. Contributions of This Research. Future Work.
References.
Index.