DocumentCode :
3276592
Title :
Exploiting spatial smoothness to recover undecoded coefficients for transform domain distributed video coding
Author :
Ali, Mohamed ; Murshed, Manzur
Author_Institution :
Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC, Australia
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
1782
Lastpage :
1786
Abstract :
In a transform domain distributed video coding scheme, the correlation between the current encoding unit, e.g. block and slice, and the corresponding side-information is modeled using a virtual channel. This correlation model is then used for rate allocation, quantization, and Wyner-Ziv coding. Since the encoder can only have an estimate of the correlation instead of the exact knowledge of the side-information, the decoder will fail to recover the quantized transformed coefficients with a nonzero probability. In this paper, we propose to integrate a scheme at the decoder to recover the undecoded coefficients using the spatial smoothness property of individual video frames. Simulation results demonstrated that, at different decoding failure probabilities, a transformed coefficient recovery scheme can significantly improve the quality of videos in terms of both PSNR and SSIM.
Keywords :
data compression; probability; transform coding; video coding; Wyner-Ziv coding; failure probabilities; image quantization; nonzero probability; rate allocation; side-information; spatial smoothness; transform domain distributed video coding; video quality; virtual channel; DCT; Distributed video coding; H.264;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738367
Filename :
6738367
Link To Document :
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