DocumentCode :
2153448
Title :
FOR/SOR video coding with super macroblock and inter-frame stripe prediction
Author :
Kang, Je-Won ; Kim, Seung-Hwan ; Kuo, C. -C Jay
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2011
fDate :
22-27 May 2011
Firstpage :
821
Lastpage :
824
Abstract :
A first-order-residual/second-order-residual (FOR/SOR) based video coding algorithm that incorporates the super macroblock (SMB) and the inter-frame stripe prediction (ISP) technique is proposed for high definition (HD) video coding in this work. We first examine the limitation of the SMB in high-bit-rate coding, and show that a simple extension of the block-size is not sufficient to get a significant improvement in coding performance. Then, we introduce the FOR/SOR coding technique to resolve this issue. For the FOR coding, we apply a larger quantization stepize and motion-predictive coding to remove the temporal correlation. Then, for the SOR coding, we propose an efficient prediction method, called the inter frame stripe prediction (ISP) technique, to remove the structured residuals after the FOR coding to achieve a higher coding gain. It is demonstrated by experimental results that the proposed FOR/SOR algorithm outperforms H.264/AVC by a significant margin; namely, about 21.57% in the bit rate saving or 1.09dB in the PSNR improvement.
Keywords :
audio coding; block codes; error statistics; high definition video; quantisation (signal); video coding; FOR video coding technique; H.264-AVC; SOR video coding; first-order-residual based video coding algorithm; high definition video coding; high-bit-rate coding; interframe stripe prediction; macroblock stripe prediction; motion predictive coding; quantization stepize; second-order-residual based video coding algorithm; temporal correlation; Codecs; Encoding; High definition video; Image coding; PSNR; Pixel; Video coding; HD Video Coding; Inter-frame Stripe Prediction; Second-Order-Residual Coding; Super Macroblock;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
ISSN :
1520-6149
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2011.5946530
Filename :
5946530
Link To Document :
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