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