DocumentCode :
2629544
Title :
Key Picture Error Concealment Using Residual Motion-Copy in Scalable Video Coding
Author :
Shoaib, Muhammad
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
6
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
591
Lastpage :
595
Abstract :
The current JSVM software only supports Frame- Copy and Motion-Copy Error Concealment (EC) methods for the concealment of key picture loss in Group of Picture (GOP). In the proposed method, we exploit motion retrieval information to conceal key frame in scalable video coding. The auxiliary motion vectors of only key picture are interleaved into the bit stream of previous key picture. To control bit-rate increased due to interleaving of supplement information, residual difference is calculated. This encoded residual difference is used to calculate the predictor so that concealment of each macroblock in a key picture will be performed. Consequently, the increase in bit-rate due to supplement information is compensated with increase in PSNR gain with correlated increase in GOP size. Moreover, we investigate the impact of key picture distortion propagation loss of hierarchical prediction in SVC. The proposed method provides drift-free substantial improvement without significant complexity.
Keywords :
image motion analysis; image retrieval; video coding; JSVM software; auxiliary motion vectors; bit rate; bit stream; frame-copy error concealment method; hierarchical prediction; key picture distortion propagation loss; key picture error concealment; motion retrieval information; motion-copy error concealment method; residual difference; residual motion-copy; scalable video coding; Collaborative software; Computer errors; Computer science; Decoding; Distortion measurement; Information retrieval; Propagation losses; Static VAr compensators; Streaming media; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.1102
Filename :
5170769
Link To Document :
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