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