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Fast mode decision for inter frames in H.264/AVC

Lidong Xu, Xinggang Lin

Open publisher page 4 citations

Abstract

The H.264/AVC video coding standard can achieve considerably higher coding efficiency than any previous standards. Unfortunately this comes from dramatically high coding complexity introduced mainly by multi-mode checking scheme when coding macroblocks. Base on statistically analyzing the best mode situations, a progressively adaptive fast mode decision algorithm is proposed in this paper to reduce the coding complexity of inter frames in H.264/AVC. Experimental results show that the proposed algorithm can averagely save about 75.3% coding time compared with the reference software with only about 0.15% bitrate increase and 0.15dB PSNR loss.

About this research paper

What this paper is about

The H.264/AVC video coding standard can achieve considerably higher coding efficiency than any previous standards. Unfortunately this comes from dramatically high coding complexity introduced mainly by multi-mode checking scheme when coding macroblocks. Base on statistically analyzing the best mode situations, a progressively adaptive fast mode decision algorithm is proposed in this paper to reduce the coding complexity of inter frames in H.264/AVC. Experimental results show that the proposed algorithm can averagely save about 75.3% coding time compared with the reference software with only about 0.15% bitrate increase and 0.15dB PSNR loss.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The H.264/AVC video coding standard can achieve considerably higher coding efficiency than any previous standards. Unfortunately this comes from dramatically high coding complexity introduced mainly by multi-mode checking scheme when coding macroblocks. Base on statistically analyzing the best mode situations, a progressively adaptive fast mode decision algorithm is proposed in this paper to reduce the coding complexity of inter frames in H.264/AVC. Experimental results show that the proposed algorithm can averagely save about 75.3% coding time compared with the reference software with only about 0.15% bitrate increase and 0.15dB PSNR loss.

Key concepts: Context-adaptive variable-length coding, Computer science, Coding (social sciences), Context-adaptive binary arithmetic coding, Coding tree unit, Reference software, Algorithmic efficiency, Scalable Video Coding

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