Fast multi-reference picture motion estimation algorithm using a relation of motion vector with distance of each frame

Juwon Byun, Jinha Choi, Jonghyun Bae, Jaeseok Kim

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

Abstract

This paper proposes a new fast multi-reference picture motion estimation algorithm which uses the relation of motion vector with distance of each frame. The proposed algorithm reduces search areas of motion estimation using linear feature of object's motion for fast motion estimation. Search areas in reference picture 2, 3 and 4 are minimized using a distance of each frame and motion vectors of reference picture 0 and 1. Additionally, the proposed algorithm does not require a threshold value which makes processing time irregularity Therefore, the proposed algorithm can be efficient hardware implementation. Experimental results show that the number of computation is reduced 52.5% and PSNR drop of encoded sequence is negligible when compared with standard which uses 5 reference pictures.

Original languageEnglish
Title of host publicationTENCON 2009 - 2009 IEEE Region 10 Conference
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE Region 10 Conference, TENCON 2009 - Singapore, Singapore
Duration: 2009 Nov 232009 Nov 26

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other2009 IEEE Region 10 Conference, TENCON 2009
CountrySingapore
CitySingapore
Period09/11/2309/11/26

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Byun, J., Choi, J., Bae, J., & Kim, J. (2009). Fast multi-reference picture motion estimation algorithm using a relation of motion vector with distance of each frame. In TENCON 2009 - 2009 IEEE Region 10 Conference [5395887] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2009.5395887