DocumentCode :
381875
Title :
Shape refreshment need metric for object-based resilient video coding
Author :
Soares, Luis Ducla ; Pereira, Fernando
Author_Institution :
Instituto de Telecomunicacoes, Instituto Superior Tecnico, Lisbon, Portugal
Volume :
1
fYear :
2002
fDate :
2002
Abstract :
Although there are several techniques that video encoders may use to improve error resilience, it is largely recognized that intra coding refreshment plays a major role. This technique is especially useful for video encoders that rely on predictive (inter) coding to remove temporal redundancy because, in these conditions, the decoded quality can decay very rapidly due to error propagation if errors occur in the transmission or storage of the coded streams. Therefore, in order to avoid error propagation for too long a time, the encoder can use a coding refreshment scheme to refresh the decoding process and stop (spatial and temporal) error propagation. In the context of object-based video coding, the video encoder can apply intra coding refreshment to both the shape and the texture data. A shape refreshment need metric is proposed which can be used by object-based video encoders, notably MPEG-4 video encoders, to determine when the shape of a given video object should be refreshed in order to improve the decoded video quality.
Keywords :
code standards; data compression; decoding; image texture; prediction theory; telecommunication standards; video coding; MPEG-4 coding standard; MPEG-4 video encoders; coded streams storage; coded streams transmission; decoded video quality; decoding; intra coding refreshment; object-based resilient video coding; predictive coding; shape refreshment need metric; spatial error propagation; temporal error propagation; temporal redundancy removal; texture data; video encoders; video object; Availability; Context-aware services; Decoding; MPEG 4 Standard; Redundancy; Resilience; Shape measurement; Streaming media; Telecommunications; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7622-6
Type :
conf
DOI :
10.1109/ICIP.2002.1037987
Filename :
1037987
Link To Document :
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