Video Object Extraction and Representation: Theory and Applications

Author:   I-Jong Lin ,  S.Y. Kung
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   584
ISBN:  

9781475783841


Pages:   177
Publication Date:   21 March 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Video Object Extraction and Representation: Theory and Applications


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Overview

“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).

Full Product Details

Author:   I-Jong Lin ,  S.Y. Kung
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   584
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.308kg
ISBN:  

9781475783841


ISBN 10:   1475783841
Pages:   177
Publication Date:   21 March 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

to Content-Based Visual Processing.- Existing Techniques of Visual Processing.- Voronoi Ordered Space.- A System for Video Object Segmentation.- Robust Representation of Shape with DAGs.- A System for Image/Video Object Query by Shape.- The Future of Content-Based Video Processing.

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