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Video Object Extraction and Representation

Theory and Applications

  • Book
  • © 2002

Overview

Authors:
  1. I-Jong Lin

    1. Hewlett-Packard Laboratories, USA

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    You can also search for this author in PubMed   Google Scholar

  2. S. Y. Kung

    1. Princeton University, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 584)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Introduction to Content-Based Visual Processing

    Pages 1-23

  3. Existing Techniques of Visual Processing

    Pages 25-45

  4. Voronoi Ordered Space

    Pages 47-65

  5. A System for Video Object Segmentation

    Pages 67-105

  6. Robust Representation of Shape with DAGs

    Pages 107-126

  7. A System for Image/Video Object Query by Shape

    Pages 127-154

  8. The Future of Content-Based Video Processing

    Pages 155-161

  9. Back Matter

    Pages 163-177
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Keywords

About this book

“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).

Authors and Affiliations

  • Hewlett-Packard Laboratories, USA

    I-Jong Lin

  • Princeton University, USA

    S. Y. Kung

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