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European Symposium on Advanced Imaging and Network Technologies, Conference on Digital Compression Technologies & Systems for Video Communications, Berlin, Germany, October 1996
 

Summary: European Symposium on Advanced Imaging and Network Technologies,
Conference on Digital Compression Technologies & Systems for Video Communications, Berlin, Germany, October 1996
Image sequence segmentation for object oriented coding
Achim Ibenthal
Philips Semiconductors PCALH/VS
Stresemannallee 101, 22529 Hamburg, Germany
Sven Siggelkow, Rolf­Rainer Grigat
Technische Universit¨at Hamburg­Harburg,
Technische Informatik I, 21071 Hamburg, 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 segmen­
tation. 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 colour 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 trans­
ferred (which corresponds to a compression factor of about 1000). Additionally object shapes must be coded but
this has to be done for greyscale images anyway.
Keywords: image sequence segmentation, motion estimation, object oriented coding, object tracking, MPEG­4

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences