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
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;
Conference_Titel :
Signal Processing Conference, 2010 18th European
Conference_Location :
Aalborg
