DocumentCode :
417569
Title :
Robust network-adaptive object-based video encoding
Author :
Wang, Haohong ; Katsaggelos, Aggelos K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
Volume :
3
fYear :
2004
fDate :
17-21 May 2004
Abstract :
The joint source-network encoding of object-based video is a very important and challenging research topic, which has not been adequately explored. In this paper, we propose a robust network-adaptive encoding approach for object-based video. The framework jointly considers source coding, packet loss during transmission, and error concealment at the decoding. The proposed method guarantees the minimum expected distortion for the decoded video, by optimally allocating the shape and texture coding parameters at the encoder. The resulting optimization problem is solved by Lagrangian relaxation and dynamic programming. Experimental results demonstrate that the proposed method has significant gains over the non network-adaptive method.
Keywords :
dynamic programming; image texture; optimisation; source coding; video coding; Lagrangian relaxation; decoded video minimum expected distortion; decoding error concealment; dynamic programming; joint source-network encoding; network-adaptive video encoding; object-based video encoding; optimization; robust video encoding; shape coding; source coding; texture coding; transmission packet loss; Bit rate; Decoding; Encoding; Error correction; Robust control; Robustness; Shape; Source coding; Video coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326528
Filename :
1326528
Link To Document :
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