Complexity scalable motion estimation

R.A.C. Braspenning, G. Haan, de, C. Hentschel

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

10 Citations (Scopus)

Abstract

Complexity scalable algorithms are capable of trading resource usage for output quality in a near-optimal way. We present a complexity scalable motion estimation algorithm based on the 3-D recursive search block matcher. We introduce data prioritizing as a new approach to scalability. With this approach, we achieve a near-constant complexity and a continuous quality-resource distribution. While maintaining acceptable quality, it is possible to vary the resource usage from below 1 match-error calculation per block on the average to more than 5 match-error calculations per block on the average.
Original languageEnglish
Title of host publicationVisual Communications and Image Processing 2002, San Jose, CA, USA
EditorsC.-C. Jay Kuo
Place of PublicationBellingham
PublisherSPIE
Pages442-453
DOIs
Publication statusPublished - 2002

Publication series

NameProceedings of SPIE
Volume4671

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