Adaptive edge detection pre-process multiple reference frames motion estimation in H.264/AVC

Yiqing Huang, Zhenyu Liu, Satoshi Goto, Takeshi Ikenaga

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

3 Citations (Scopus)

Abstract

In H.264/AVC, the adoption of multiple reference frames (MRF) helps to improve the video coding quality because smaller residue can be generated by precise motion estimation (ME). However, the procedure of finding the suitable reference frame is a computation intensive task. In fact, if macro blocks that have homogeneous characteristic can be detected in advance, the computation burden can be released greatly. This paper gives an edge detection based pre-process MRF-ME algorithm and proposes a threshold decision criterion based on both PSNR and bit-rate analysis. Through experimental results, we find that maximum ME time reduction can be achieved by configuring threshold linearly with quantization parameter (QP). With this adaptive edge detection pre-process MRF-ME algorithm, average 37.48% ME time can be reduced with negligible video quality degradation.

Original languageEnglish
Title of host publicationICCCAS 2007 - International Conference on Communications, Circuits and Systems 2007
Pages787-791
Number of pages5
Publication statusPublished - 2008 Mar 18
EventICCCAS 2007 - International Conference on Communications, Circuits and Systems 2007 - Kokura, Japan
Duration: 2007 Jul 112007 Jul 13

Publication series

NameICCCAS 2007 - International Conference on Communications, Circuits and Systems 2007

Conference

ConferenceICCCAS 2007 - International Conference on Communications, Circuits and Systems 2007
CountryJapan
CityKokura
Period07/7/1107/7/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Huang, Y., Liu, Z., Goto, S., & Ikenaga, T. (2008). Adaptive edge detection pre-process multiple reference frames motion estimation in H.264/AVC. In ICCCAS 2007 - International Conference on Communications, Circuits and Systems 2007 (pp. 787-791). [4348167] (ICCCAS 2007 - International Conference on Communications, Circuits and Systems 2007).