Video Object Extraction and Representation: Theory and Applications / Edition 1by I-Jong Lin, S.Y. Kung
Pub. Date: 09/30/2000
Publisher: Springer US
“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… See more details below
“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).
- Springer US
- Publication date:
- The Springer International Series in Engineering and Computer Science, #584
- Edition description:
- Product dimensions:
- 9.21(w) x 6.14(h) x 0.50(d)
Table of ContentsPreface. 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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