| Video Object Extraction and Representation: Theory and Applications 2002 Edition Contributor(s): I-Jong Lin (Author), Kung, S. Y. (Author) |
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ISBN: 1475783841 ISBN-13: 9781475783841 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: March 2013 |
| Additional Information |
| BISAC Categories: - Computers | Computer Graphics - Technology & Engineering | Electronics - General - Technology & Engineering | Electrical |
| Dewey: 006.37 |
| Series: The Springer International Engineering and Computer Science |
| Physical Information: 0.42" H x 6.14" W x 9.21" (0.62 lbs) 177 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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). |