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Proceedings Paper

Image sequence segmentation for object-oriented coding
Author(s): Achim Ibenthal; Sven Siggelkow; Rolf-Rainer Grigat
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Paper Abstract

An algorithm for the segmentation of image sequences is presented, taking into account especially aspects for object oriented coding. A fundamental requirement of such applications is the temporal stability of the segmentation. This is improved in this article compared to other existing approaches by including motion estimation into the segmentation process. Additionally a hierarchical approach enables an efficient predictive coding on one hand and a semantic data access on the other hand. As a direct result from using full color information for the segmentation process, coding of the chrominance information can be done with extremely high compression ratios. Instead of full resolution chrominance information only few mean chrominance vectors need to be transferred (which corresponds to a compression factor of about 1000). Additionally object shapes must be coded but this has to be done for grayscale images anyway.

Paper Details

Date Published: 16 September 1996
PDF: 10 pages
Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); doi: 10.1117/12.251270
Show Author Affiliations
Achim Ibenthal, Philips Semiconductors (Germany)
Sven Siggelkow, Technische Univ. Hamburg-Harburg (Germany)
Rolf-Rainer Grigat, Technische Univ. Hamburg-Harburg (Germany)

Published in SPIE Proceedings Vol. 2952:
Digital Compression Technologies and Systems for Video Communications
Naohisa Ohta, Editor(s)

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