NDLI: A technique for reducing complexity of recursive motion estimation algorithms

Content Provider	IEEE Xplore Digital Library
Author	Beric, A. de Haan, G. Sethuraman, R. van Meerbergen, J.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands (Beric, A.; de Haan, G.)
Abstract	The recursive search motion estimation algorithm offers smooth and accurate motion vector fields. Computationally, the most expensive part of the motion estimator is the evaluation of the various motion vector candidates. Evaluation is performed by comparing blocks in two consecutive frames indicated by motion vector candidates. The paper addresses the issue of reducing the already extremely low number of motion vector evaluations. We apply preprocessing techniques to reduce the number of motion vector candidates from 7 to 5, i.e. 30%, without sacrificing quality. We exemplify the above findings through experimental results obtained using the 3D recursive search motion estimation algorithm. The required preprocessing overhead is negligible.
Sponsorship	IEEE Signal Processing Soc. IEEE Circuits & Syst. Soc
Starting Page	195
Ending Page	200
File Size	501409
Page Count	6
File Format	PDF
ISBN	0780377958
ISSN	15206130
DOI	10.1109/SIPS.2003.1235668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-08-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Bandwidth Communication channels Image storage Laboratories Electronic mail Performance evaluation Noise reduction Real time systems TV
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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