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Atul Puri
Researcher at Bell Labs
Publications - 52
Citations - 2610
Atul Puri is an academic researcher from Bell Labs. The author has contributed to research in topics: Motion compensation & Multiview Video Coding. The author has an hindex of 21, co-authored 51 publications receiving 2599 citations. Previous affiliations of Atul Puri include AT&T Corporation & Telcordia Technologies.
Papers
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Book
Digital Video: An introduction to MPEG-2
TL;DR: This book offers comprehensive coverage of the MPEG-2 audio / visual digital compression standard, including the specifics needed to implement an MPEG-1 Decoder, and outlines the fundamentals of encoder design and algorithm optimization.
Proceedings ArticleDOI
An efficient block-matching algorithm for motion-compensated coding
TL;DR: An efficient search technique is presented which minimizes the computations necessary for estimating the motion in video-sequences by the block matching method and the theoretical basis for conducting such a reduced search is discussed.
Journal ArticleDOI
Motion-compensated video coding with adaptive perceptual quantization
Atul Puri,Rangarajan Aravind +1 more
TL;DR: The authors address the problem of adapting the Motion Picture Experts Group (MPEG) quantizer for scenes of different complexity (at bit rates around 1 Mb/s), such that the perceptual quality of the reconstructed video is optimized.
Patent
Three dimensional motion compensated video coding
TL;DR: In this paper, a video signal encoder uses three dimensional transform coding on blocks of intensity values and then selects the most significant coefficients for further processing by separating the coefficients into several groups have approximately the same energy and thus approximate the same significance.
Journal ArticleDOI
Image and video coding standards
Rangarajan Aravind,Glenn L. Cash,Donald L. Duttweiler,Hsueh-Ming Hang,Barry G. Haskell,Atul Puri +5 more
TL;DR: In this article, the authors describe several standard compression algorithms developed in recent years and describe their compatibility among different applications and manufacturers, and present a comparison of the algorithms for image and video compression.