DocumentCode :
304760
Title :
Segmentation of image sequences for object oriented coding
Author :
Siggelkow, Sven ; Grigat, Rolf-Rainer ; Ibenthal, Achim
Author_Institution :
Tech. Univ. Hamburg-Harburg, Germany
Volume :
1
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
477
Abstract :
This paper presents an algorithm for segmentation of image sequences where specially aspects for object oriented coding are taken into account. A fundamental requirement of such applications is the temporal stability of the segmentation. This is improved 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. Thus there is nearly no extra coding effort for colour images compared to greyscale images
Keywords :
data compression; image colour analysis; image sequences; motion estimation; prediction theory; video coding; MPEG-4; algorithm; chrominance information coding; colour image coding; colour information; hierarchical approach; high compression ratios; image segmentation; image sequences; motion estimation; object oriented coding; predictive coding; semantic data access; temporal stability; video coding; Color; Humans; Image coding; Image segmentation; Image sequences; Layout; Motion estimation; Predictive coding; Stability; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560892
Filename :
560892
Link To Document :
بازگشت