DocumentCode :
481022
Title :
Automatic object segmentation algorithms for sprite coding using MPEG-4
Author :
Krutz, Andreas ; Glantz, Alexander ; Sikora, Thomas ; Nunes, Paulo ; Pereira, Fernando
Author_Institution :
Commun. Syst. Group, Tech. Univ. Berlin, Berlin
Volume :
2
fYear :
2008
fDate :
10-12 Sept. 2008
Firstpage :
459
Lastpage :
462
Abstract :
Object-based video coding, as standardized in MPEG-4 Part 2, can result in superior performance in comparison to common hybrid motion-compensated DCT-based approaches. We consider sprite coding which increases significantly the objective as well as the subjective quality of the coded video. The main challenge of this approach is the pre-segmentation of the video and the video content itself. To apply sprite coding, the input video has to be firstly segmented into foreground and background objects. We evaluate automatic object segmentation methods based on global motion estimation and background sprite generation. These algorithms are evaluated using the standardized MPEG-4 visual main profile (sprite coding).
Keywords :
discrete cosine transforms; image coding; image segmentation; motion compensation; motion estimation; video coding; MPEG-4; automatic object segmentation algorithms; background sprite generation; global motion estimation; hybrid motion-compensated DCT-based approach; object-based video coding; sprite coding; Cameras; Decoding; Image reconstruction; MPEG 4 Standard; Motion estimation; Object segmentation; Sprites (computer); Telecommunications; Video coding; Video sequences; MPEG-4 Visual; Object-based video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ELMAR, 2008. 50th International Symposium
Conference_Location :
Zadar
ISSN :
1334-2630
Print_ISBN :
978-1-4244-3364-3
Type :
conf
Filename :
4747542
Link To Document :
بازگشت