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A new fast motion estimation for H.264 based on motion continuity hypothesis

  • Pu Juhua*
  • , Xiong Zhang
  • , Lionel M. Ni
  • *Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

H.264 video standard, in spite of its high quality, is too time-consuming for widespread acceptance in video applications, mainly due to its computationally complex motion estimation (ME). To reduce this complexity, we propose motion continuity hypothesis, which means that all motion vectors (MVs) of a block are usually located in a small area. This area is formalized as modified valid region (MVR), an improved version of valid region which is proposed by the present authors in a previous paper. Then, this paper develops a new fast ME algorithm for H.264, called MVR-based fast ME (MVRF), which searches only a much smaller area in reference frames(RFs) for motion estimation than full search H.264 does, so it reduces up to 43% search pixels. MVRF is so deliberately chosen that on average, up to 98% MVs determined by MVRF coincide with those by full search H.264, therefore keeping the recovery quality and bit-rate almost the same as those of full search H.264.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2006
Subtitle of host publication7th Pacific Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Pages468-476
Number of pages9
ISBN (Print)3540487662, 9783540487661
Publication statusPublished - 2006
EventPCM 2006: 7th Pacific Rim Conference on Multimedia - Hangzhou, China
Duration: 2 Nov 20064 Nov 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4261 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferencePCM 2006: 7th Pacific Rim Conference on Multimedia
Country/TerritoryChina
CityHangzhou
Period2/11/064/11/06

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