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Computational geometry / Mathematical optimization / Operations research / Applied mathematics / Video / Rate–distortion optimization / Peak signal-to-noise ratio / Algorithm / Convex hull / Mathematics / Video compression / Image processing


Distortion-Complexity Optimization of the H.264/MPEG-4 AVC Encoder using the GBFOS Algorithm ∗ Rahul Vanam† §
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Document Date: 2007-01-09 19:39:21

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Monterey / Ithaca / /

Company

Intel / /

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Facility

Cornell University / University of Washington / /

IndustryTerm

energy constraints / Motion-compensated transform-coded video compression algorithms / optimization algorithms / exhaustive search approach / greedy algorithm / local search / motion search method / exhaustive search techniques / wireless video communication / exhaustive search / search algorithm / search locations / generic audiovisual services / /

OperatingSystem

Linux / /

Organization

National Science Foundation / United Nations / University of Washington / Seattle / Department of Electrical Engineering / Department of Computer Science and Engineering / Cornell University / /

Person

Olshen / T. D. Lookabaugh / Sheila S. Hemami‡ Richard / Eve A. Riskin† Sheila / Richard E. Ladner / R. M. Gray / P. A. Chou / Rahul Vanam / /

ProgrammingLanguage

R / /

ProvinceOrState

New York / Washington / /

Technology

GBFOS-iterative algorithm / Complexity-adaptive search algorithm / MPEG-2 / GBFOS-iterative algorithms / GBFOS algorithm / ASL / GBFOS-basic algorithm / Linux / MPEG-4 / greedy algorithm / generalized BFOS algorithm / GBFOS algorithms / proposed algorithms / second algorithm / DCT algorithm / Distortion-Complexity Optimization The GBFOS algorithm / 2.2 GBFOS-Iterative Algorithm / R-D optimization algorithms / GBFOSiterative algorithm / two algorithms / mobile devices / Motion-compensated transform-coded video compression algorithms / /

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