Enhanced partial distortion sorting fast motion estimation algorithm for low-power applications

Yang Song, Takeshi Ikenaga, Satoshi Goto, Zhenyu Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an enhanced partial distortion sorting (EPDS) fast motion estimation (ME) algorithm which is based on the previous partial distortion sorting (PDS) algorithm. Different to PDS which has fixed parameters, in the EPDS algorithm, these parameters are adaptively adjusted to further reduce the computation complexity. Experiments show that the proposed EPDS algorithm has almost the same image quality as PDS but with 30.72% computation reduction. The PDS and EPDS are both realized in 1-D systolic array, under the worst working conditions (1.62V, 125°C) and 166MHz clock frequency, compared with PDS algorithm, the proposed EPDS algorithm can reduce 15.75% power consumption with 0.75K gates hardware increase.

Original languageEnglish
Title of host publicationIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
Pages1236-1239
Number of pages4
DOIs
Publication statusPublished - 2006
EventAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems -
Duration: 2006 Dec 42006 Dec 6

Other

OtherAPCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
Period06/12/406/12/6

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Keywords

  • Motion estimation
  • Partial distortion sorting

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Song, Y., Ikenaga, T., Goto, S., & Liu, Z. (2006). Enhanced partial distortion sorting fast motion estimation algorithm for low-power applications. In IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS (pp. 1236-1239). [4145623] https://doi.org/10.1109/APCCAS.2006.342386