Optimization of propagate partial SAD and SAD tree motion estimation hardwired engine for H.264

Liu Zhenyu*, Satoshi Goto, Takeshi Ikenaga

*Corresponding author for this work

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

13 Citations (Scopus)

Abstract

Variable block size motion estimation algorithm is the efficient approach to reduce the temporal redundancies and it has been adopted by the latest video coding standard H.264/AVC. The computational complexity augment coming from the variable block size technique makes the hardwired accelerator essential, especially for real-time applications. In this paper, the authors apply the architecture level and the circuits level approaches to improve the performance of Propagate Partial SAD and SAD Tree hardwired engines, which outperform other counterparts when considering the impact of supporting the variable block size technique. Experiments demonstrate that by using the proposed approaches, compared with the original architectures, 14.7% and 18.0% hardware cost can be saved for Propagate Partial SAD architecture and SAD Tree architecture, respectively. With TSMC 0.18 mm 1P6M CMOS technology, the proposed Propagate Partial SAD architecture attains 231.6MHz operating frequency at a cost of 84.1k gates. Correspondingly, the execution speed of the optimized SAD Tree architecture is improved to 204.8MHz with 88.5k gate hardware overhead.

Original languageEnglish
Title of host publication26th IEEE International Conference on Computer Design 2008, ICCD
Pages328-333
Number of pages6
DOIs
Publication statusPublished - 2008
Event26th IEEE International Conference on Computer Design 2008, ICCD - Lake Tahoe, CA, United States
Duration: 2008 Oct 122008 Oct 15

Publication series

Name26th IEEE International Conference on Computer Design 2008, ICCD

Conference

Conference26th IEEE International Conference on Computer Design 2008, ICCD
Country/TerritoryUnited States
CityLake Tahoe, CA
Period08/10/1208/10/15

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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