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Proceedings Paper

Rate-constrained video coding using a flexible representation of motion
Author(s): Daniel Lauzon; Eric Dubois
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Paper Abstract

This paper descries a technique for representing motion information in a video coder. We present a novel way of representing motion, based on a dictionary of motion models, as well as related estimation techniques. Motion fields are represented by low-order polynomial-based models and a discrete label field. We develop an adaptive context-based entropy coding technique for the label field. In the paper, we address issues relating to rate-distortion optimal coding. Simulations based on a software implementation of the technique are compared to similar results for classical block- based motion compensation and coding techniques.

Paper Details

Date Published: 28 December 1998
PDF: 10 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334702
Show Author Affiliations
Daniel Lauzon, INRS-Telecommunications (Canada) and Communications Research Ctr. (Canada)
Eric Dubois, INRS-Telecommunications (Canada) and Univ. of Ottawa (Canada)

Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

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