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Optical Engineering

Fast mode decision algorithm for scalable video coding based on luminance coded block pattern
Author(s): Tae-Jung Kim; Jeong-Ju Yoo; Jin-Woo Hong; Jae-Won Suh
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Paper Abstract

A fast mode decision algorithm is proposed to reduce the computation complexity of adaptive inter layer prediction method, which is a motion estimation algorithm for video compression in scalable video coding (SVC) encoder systems. SVC is standard as an extension of H.264/AVC to provide multimedia services within variable transport environments and across various terminal systems. SVC supports an adaptive inter mode prediction, which includes not only the temporal prediction modes with varying block sizes but also inter layer prediction modes based on correlation between the lower layer information and the current layer. To achieve high coding efficiency, a rate distortion optimization technique is employed to select the best coding mode and reference frame for each MB. As a result, the performance gains of SVC come with increased computational complexity. To overcome this problem, we propose fast mode decision based on coded block pattern (CBP) of 16×16 mode and reference block of best CBP. The experimental results in SVC with combined scalability structure show that the proposed algorithm achieves up to an average 61.65% speed up factor in the encoding time with a negligible bit increment and a minimal image quality loss. In addition, experimental results in spatial and quality scalability show that the computational complexity has been reduced about 55.32% and 52.69%, respectively.

Paper Details

Date Published: 7 January 2013
PDF: 15 pages
Opt. Eng. 52(1) 017401 doi: 10.1117/1.OE.52.1.017401
Published in: Optical Engineering Volume 52, Issue 1
Show Author Affiliations
Tae-Jung Kim, Electronics and Telecommunications Research Institute (Korea, Republic of)
Jeong-Ju Yoo, Electronics and Telecommunications Research Institute (Korea, Republic of)
Jin-Woo Hong, Electronics and Telecommunications Research Institute (Korea, Republic of)
Jae-Won Suh, Electronics and Telecommunications Research Institute (Korea, Republic of)


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