Intelligent Systems for Video Analysis and Access Over the Internet

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 Editor

Part 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.

Table of Contents

Preface.
1. Introduction.
2. On-Line Scene Change Detection of (MBONE) Multicast Video.
3. Video/Audio/Text Feature Representation and Analysis.
4. Knowledge-Based Video Hierarchical Classification.
5. Experimental Results.
6. System Integration.
7. Conclusion and Future Work.
References.
Index.