Fast mode-decision for H.264/AVC based on inter-frame correlations

Authors:
Hyunsuk Ko;Kiwon Yoo;Kwanghoon Sohn
Affiliations:
Department of Electrical and Electronic Engineering, Yonsei University, 134 Schinchon-dong, Seodaemun-gu, 120-749 Seoul, South Korea;Department of Electrical and Electronic Engineering, Yonsei University, 134 Schinchon-dong, Seodaemun-gu, 120-749 Seoul, South Korea and Samsung Electronics, Suwon, Gyeonggi-do, South Korea;Department of Electrical and Electronic Engineering, Yonsei University, 134 Schinchon-dong, Seodaemun-gu, 120-749 Seoul, South Korea
Venue:
Image Communication
Year:
2009

Citing 4
Cited 1

Low-complexity transform and quantization in H.264/AVC

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Direct mode coding for bipredictive slices in the H.264 standard

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Fast intermode decision in H.264/AVC video coding

IEEE Transactions on Circuits and Systems for Video Technology
Fast Selective Intra-Mode Search Algorithm Based on Adaptive Thresholding Scheme for H.264/AVC Encoding

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A fine-grain distortion and complexity aware parameter tuning model for the H.264/AVC encoder

Image Communication

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Abstract

The H.264/AVC standard yields higher coding efficiency rates than other video coding standards. This is because it uses the rate-distortion optimization (RDO) technique, which selects the optimal coding mode and a reference frame for each macroblock (MB). In order to achieve this, the encoder has to encode a given block by exhaustively using all kinds of combinations (including different intra and inter-prediction modes). As a result, the computational complexity of video coding in H.264/AVC is extremely high. In this paper, two fast intra-/inter-mode-decision algorithms are proposed to reduce the complexity of the encoder. Both of these algorithms are based on the inter-frame correlation among adjacent pictures. For the fast intra-mode-decision, we used the intra-mode of the most-correlated MB at the reference frame to encode the current MB and the stationary property of the current MB was used for the fast inter-mode-decision. The simulation results show that the proposed algorithms significantly reduced the computational complexity with a negligible loss of PSNR and a slight increase in bitrate.