DocumentCode
705303
Title
Confidence features extraction for Wyner-Ziv video decoding
Author
Hansel, Ralph ; Muller, Erika
Author_Institution
Inst. of Commun. Eng., Univ. of Rostock, Rostock, Germany
fYear
2010
fDate
23-27 Aug. 2010
Firstpage
2042
Lastpage
2046
Abstract
Distributed video coding (DVC) is well suited for low complexity encoding and error robust transmission. The feedback channel is the main handicap of state-of-the-art DVC systems. We previously proposed error locating coding (ELC) in conjunction with image inpainting as solution. This paper is focused on ELC with confidence information. It is shown that the proposed confidence feature improves the ELC performance and adapts well to the data rate.
Keywords
feature extraction; video coding; DVC; ELC; Wyner-Ziv video decoding; complexity encoding; distributed video coding; error locating coding; error robust transmission; features extraction; feedback channel; image inpainting; Bit error rate; Decoding; Feature extraction; Reliability; Thyristors; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2010 18th European
Conference_Location
Aalborg
ISSN
2219-5491
Type
conf
Filename
7096576
Link To Document