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

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 ar...

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Bibliographic Details
Published inTENCON 2009 - 2009 IEEE Region 10 Conference pp. 1 - 6
Main Authors Juwon Byun, Jinha Choi, Jonghyun Bae, Jaeseok Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Automatic voltage control
Bit rate
Codecs
Hardware
IEC standards
ISO standards
Motion estimation
PSNR
Vectors
Video codecs
Video coding
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Summary: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.
ISBN:9781424445462
1424445469
ISSN:2159-3442
2159-3450
DOI:10.1109/TENCON.2009.5395887