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Proceedings Paper

Rate-distortion optimizations for motion estimation in low-bit-rate video coding
Author(s): Dzung T. Hoang; Philip M. Long; Jeffrey Scott Vitter
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Paper Abstract

We make a case that taking the number of bits to code each motion vector into account when estimating motion for video compression results in significantly better performance at low bit rates, using simulation studies on established benchmark videos. First, by modifying a `vanilla' implementation of the H.261 standard, we show that choosing motion vectors explicitly to minimize rate (in a greedy manner), subject to implicit constraints on distortion, yields better rate-distortion tradeoffs than minimizing notions of prediction error. Locally minimizing a linear combination of rate and distortion results in further improvements. Using a heuristic function of the prediction error and the motion vector code-length results in compression performance comparable to the more computationally intensive coders while requiring a practically small amount of computation. We also show that making coding control decisions to minimize rate yields further improvements.

Paper Details

Date Published: 22 March 1996
PDF: 10 pages
Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); doi: 10.1117/12.235433
Show Author Affiliations
Dzung T. Hoang, Brown Univ. (United States)
Philip M. Long, Duke Univ. (United States)
Jeffrey Scott Vitter, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 2668:
Digital Video Compression: Algorithms and Technologies 1996
Vasudev Bhaskaran; Frans Sijstermans; Sethuraman Panchanathan, Editor(s)

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