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Proceedings Paper

Phase correlation based adaptive mode decision for the H.264/AVC
Author(s): Abdelrahman Abdelazim; Stephen James Mein; Martin Roy Varley; Christos Grecos; Djamel Ait-Boudaoud
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Paper Abstract

The H.264 video coding standard achieves high performance compression and image quality at the expense of increased encoding complexity, due to the very refined Motion Estimation (ME) and mode decision processes. This paper focuses on decreasing the complexity of the mode selection process by effectively applying a novel fast mode decision algorithm. Firstly the phase correlation is analysed between a macroblock and its prediction obtained from the previously encoded adjacent block. Relationships are established between the correlation value and object size and also best fit motion vector. From this a novel fast mode decision and motion estimation technique has been developed utilising preprocessing frequency domain ME in order to accurately predict the best mode and the search range. We measure the correlation between a macroblock and the corresponding prediction. Based on the result we select the best mode, or limit the mode selection process to a subset of modes. Moreover the correlation result is also used to select an appropriate search range for the ME stage. Experimental results show that the proposed algorithm significantly reduces the motion estimation time whilst maintaining similar Rate Distortion performance, when compared to both the H.264/AVC Joint Model (JM) reference software and recently reported work.

Paper Details

Date Published: 2 February 2011
PDF: 6 pages
Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 78710O (2 February 2011); doi: 10.1117/12.873077
Show Author Affiliations
Abdelrahman Abdelazim, Univ. of Central Lancashire (United Kingdom)
Stephen James Mein, Univ. of Central Lancashire (United Kingdom)
Martin Roy Varley, Univ. of Central Lancashire (United Kingdom)
Christos Grecos, Univ. of the West of Scotland (United Kingdom)
Djamel Ait-Boudaoud, Univ. of Portsmouth (United Kingdom)


Published in SPIE Proceedings Vol. 7871:
Real-Time Image and Video Processing 2011
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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