VLSI friendly edge gradient detection based multiple reference frames motion estimation optimization for H.264/AVC

Zhenyu Liu, Yiqing Huang, Yang Song, Satoshi Goto, Takeshi Ikenaga

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

5 Citations (Scopus)

Abstract

In H.264/AVC standard, motion estimation can be processed on multiple reference frames (MRF) to improve the video coding performance. The computation is also increased in proportion to the reference frame number. Many software oriented fast multiple reference frames motion estimation (MRF-ME) algorithms have been proposed. However, for the VLSI real-time encoder, the heavy computation of fractional motion estimation (FME) makes the integer motion estimation (IME) and FME must be scheduled in two macro block (MB) pipeline stages, which makes many fast MRF-ME algorithms inefficient. In this paper, one edge gradient detection based algorithm is provided to reduce the computation of MRF-ME. The image being rich of texture and sharp edges contains much high frequency signal and this nature makes MRF-ME essential. Through analyzing the edges' gradient, we just perform MRF-ME on those blocks with sharp edges, so the redundant ME computation can be efficiently reduced. Experimental results show that average 26.43% computation can be saved by our approach with the similar coding quality as the reference software. This proposed algorithm is friendly to hardwired encoder implementation. Moreover, the provided fast algorithms can be combined with other fast ME algorithms to further improve the performance.

Original languageEnglish
Title of host publication15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings
Pages1809-1813
Number of pages5
Publication statusPublished - 2007 Dec 1
Event15th European Signal Processing Conference, EUSIPCO 2007 - Poznan, Poland
Duration: 2007 Sep 32007 Sep 7

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference15th European Signal Processing Conference, EUSIPCO 2007
CountryPoland
CityPoznan
Period07/9/307/9/7

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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    Liu, Z., Huang, Y., Song, Y., Goto, S., & Ikenaga, T. (2007). VLSI friendly edge gradient detection based multiple reference frames motion estimation optimization for H.264/AVC. In 15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings (pp. 1809-1813). (European Signal Processing Conference).