I-Jong Lin, S. Y. Kung

Video Object Extraction and Representation

Theory and Applications

• Broschiertes Buch

Produktbeschreibung

"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).

Produktdetails

• The Springer International Series in Engineering and Computer Science 584
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4757-8384-1
• 2002
• Seitenzahl: 196
• Erscheinungstermin: 21. März 2013
• Englisch
• Abmessung: 235mm x 155mm x 11mm
• Gewicht: 306g
• ISBN-13: 9781475783841
• ISBN-10: 1475783841
• Artikelnr.: 39612397

Autorenporträt

S. Y. Kung is Professor of Electrical Engineering at Princeton University and received his PhD from Stanford University. He was formerly a professor of electrical engineering at the University of Southern California.

Inhaltsangabe

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.