Image sequence segmentation for object-oriented coding

Publikationstyp
Conference Paper not in Proceedings
Date Issued
1996
Sprache
English
Author(s)
Ibenthal, Achim  
Siggelkow, Sven  
Grigat, Rolf-Rainer  
Herausgeber*innen
Ohta, Naohisa  
Institut
Bildverarbeitungssysteme E-2  
TORE-URI
http://hdl.handle.net/11420/10286
First published in
Proceedings of SPIE  
Number in series
2952
Volume
2952
Start Page
2
End Page
11
Citation
Proceedings of SPIE - The International Society for Optical Engineering 2952: 2-11 (1996-12)
Contribution to Conference
Digital Compression Technologies and Systems for Video Communications (1996)  
Publisher DOI
10.1117/12.251270
Scopus ID
2-s2.0-0030370427
Publisher
Springer
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.
Subjects
Image sequence segmentation
Motion estimation
MPEG-4
Object oriented coding
Object tracking
DDC Class
004: Informatik