Video object extraction and representation : theory and applications
Author(s)
Bibliographic Information
Video object extraction and representation : theory and applications
（The Kluwer international series in engineering and computer science, SECS 584）
Kluwer Academic Publisher, c2000
Available at 6 libraries
Note
Includes bibliographical references (p. [163]-173) and index
Description and Table of Contents
Description
"If you have built castles in the air, your work need not be lost; that is where they should be. Now put the foundations under them. " - Henry David Thoreau, Walden Although engineering is a study entrenched firmly in belief of pr- matism, I have always believed its impact need not be limited to pr- matism. Pragmatism is not the boundaries that define engineering, just the (sometimes unforgiving) rules by which we sight our goals. This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively. After reviewing relevant image and video p- cessing techniques, we introduce the concept of Voronoi Ordered Spaces for both VOP extraction and representation to integrate shape infor- tion into low-level optimization algorithms and to derive robust shape descriptors, respectively. We implement a video object segmentation system with a novel surface optimization scheme that integrates Voronoi Ordered Spaces with existing techniques to balance visual information against predictions of models of a priori information. With these VOPs, we have explicit forms of video objects that give users the ability to - dress and manipulate video content. We outline a general methodology of robust data representation and comparison through the concept of complex partitioning mapped onto Directed Acyclic Graphs (DAGs).
Table of Contents
Preface. Explanation and Index of Outline Pages. Acknowledgments. 1. Introduction to Content-Based Visual Processing. 2. Existing Techniques of Visual Processing. 3. Voronoi Ordered Space. 4. A System for Video Object Segmentation. 5. Robust Representation of Shape with Dags. 6. A System for Image/Video Object Query by Shape. 7. The Future of Content-Based Video Processing. Index.
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