Paper
18 January 2010 A second-order-residual (SOR) coding approach to high-bit-rate video compression
Author Affiliations +
Proceedings Volume 7543, Visual Information Processing and Communication; 75430F (2010) https://doi.org/10.1117/12.839556
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
A novel video compression scheme that exploits the idea of second-order-residual (SOR) coding is proposed for high-bit-rate video applications in this work. We first study the limitation of today's high performance video coding standard, H.264/AVC, and show that it is not effective in the coding of small image features and variations for high-bit-rate video contents. For low to medium quality video streams, these small image features can be removed by the quantization process. However, when the quantization stepsize becomes small in high-bit-rate video, their existence degrades the rate-distortion coding performance significantly. To address this problem, we propose a coding scheme that decomposes the residual signals into two layers: the first-order-residual (FOR) and the second-order-residual (SOR). The FOR contains low frequency residuals while the SOR contains the high frequency residuals. We adopt the H.264/AVC for the FOR coding and propose two schemes, called SOR-freq and SOR-bp, for the SOR coding. It is shown by experimental results that the proposed FOR/SOR scheme outperforms H.264/AVC by a significant margin (with about 20% bit rate saving) in high-bit-rate video.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qi Zhang, Seung-Hwan Kim, Yunyang Dai, and C.-C. Jay Kuo "A second-order-residual (SOR) coding approach to high-bit-rate video compression", Proc. SPIE 7543, Visual Information Processing and Communication, 75430F (18 January 2010); https://doi.org/10.1117/12.839556
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Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Video coding

Quantization

Video

Video compression

Image compression

Image processing

Binary data

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