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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Video Object Extraction and Representation: Theory and Applications

Video Object Extraction and Representation: Theory and Applications

I-Jong Lin
Kung, S. Y.

Hardcover

Series: The Springer International Engineering and Computer Science, Book 584

Technology & EngineeringGeneral Computers

ISBN10: 0792379748
ISBN13: 9780792379744
Publisher: Springer Nature
Published: Sep 30 2000
Pages: 177
Weight: 1.00
Height: 0.66 Width: 7.04 Depth: 9.12
Language: English
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).

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