Video Object Extraction and Representation: Theory and Applications (The Springer International Series in Engineering and Computer Science, 584)

I-Jong Lin; Kung, S.Y.

ISBN 10: 0792379748 / ISBN 13: 9780792379744

Published by Springer, 2000

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Seller Inventory # ria9780792379744_new

Bibliographic Details

• Title: Video Object Extraction and Representation: Theory and Applications (The Springer International Series in Engineering and Computer Science, 584)
• Publisher: Springer
• Publication Date: 2000
• Language: English
• ISBN 10: 0792379748
• ISBN 13: 9780792379744
• Binding: Hardcover
• Condition: New

About this title

Synopsis

“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).

Synopsis

"Video Object Extraction and Representation: Theory and Applications" is an essential reference for electrical engineers working in video; computer scientists researching or building multimedia databases; video system designers; students of video processing; video technicians; and designers working in the graphic arts. In the coming years, the explosion of computer technology will enable a new form of digital media. Along with broadband Internet access and MPEG standards, this new media requires a computational infrastructure to allow users to grab and manipulate content. The book reviews relevant technologies and standards for content-based processing and their interrelations.Within this overview, the book focuses upon two problems at the heart of the algorithmic/computational infrastructure: video object extraction, or how to automatically package raw visual information by content; and video object representation, or how to automatically index and catalogue extracted content for browsing and retrieval. The book analyzes the designs of two novel, working systems for content-based extraction and representation in the support of MPEG-4 and MPEG-7 video standards, respectively.Features of the book include: overview of MPEG standards; a working system for automatic video object segmentation; a working system for video object query by shape; novel technology for a wide range of recognition problems; and, overview of neural network and vision technologies.

"Video Object Extraction and Representation: Theory and Applications" will be of interest to research scientists and practitioners working in fields related to the topic. It may also be used as an advanced-level graduate text.