Image sequence segmentation for object-oriented coding

Achim Ibenthal; Sven Siggelkow; Rolf-Rainer Grigat

doi:10.1117/12.251270

16 September 1996 Image sequence segmentation for object-oriented coding

Achim Ibenthal, Sven Siggelkow, Rolf-Rainer Grigat

Proceedings Volume 2952, Digital Compression Technologies and Systems for Video Communications; (1996) https://doi.org/10.1117/12.251270
Event: Advanced Imaging and Network Technologies, 1996, Berlin, Germany

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.

Citation Download Citation

Achim Ibenthal, Sven Siggelkow, and Rolf-Rainer Grigat "Image sequence segmentation for object-oriented coding", Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); https://doi.org/10.1117/12.251270

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