VLSI oriented fast motion estimation algorithm based on macroblock and motion feature analysis

Yiqing Huang, Qin Liu, Takeshi Ikenaga

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The latest H.264/AVC standard can provide us superior coding performance. However, the new technique also brings about complexity problem, especially in motion estimation (ME) part. In hardware, the pipeline stage division of H.264 based ME engine degrades many software oriented complexity reduction schemes. In our paper, we propose one VLSI friendly fast ME algorithm. Firstly, pixel difference based adaptive subsampling achieves complexity reduction for homogeneous macroblock (MB). Secondly, a multiple reference frame elimination scheme is introduced to early terminate ME process for static MB. Thirdly, based on the motion feature analysis, the search range is adjusted to remove redundant search points. Experimental results show that, compared with hardware friendly full search algorithm, our proposed algorithm can reduce 71.09% to 95.26%ME time with negligible video quality degradation. Moreover, our fast algorithm can be combined with existing fast motion estimation algorithms such as UMHexagon search for further reduction in complexity and it is friendly to hardware implementation.

本文言語English
ホスト出版物のタイトルProceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
ページ166-171
ページ数6
DOI
出版ステータスPublished - 2009 10 21
イベント2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009 - Kuala Lumpur, Malaysia
継続期間: 2009 3 62009 3 8

出版物シリーズ

名前Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009

Conference

Conference2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
CountryMalaysia
CityKuala Lumpur
Period09/3/609/3/8

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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