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Proceedings Paper

Statistical motion prediction with drift
Author(s): Zhen Li; Edward J. Delp
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Paper Abstract

In this paper we present a statistical analysis of motion prediction with drift in video coding. The drift effect occurs when the video decoder does not have access to the same reference information used in the encoder in a hybrid video codec using motion prediction. Although the drift effect has been known to the video research community for a long time, there has not been a systematic theoretical treatment of this mechanism. Generally the performance of motion prediction with drift is evaluated experimentally. In this paper we derive a closed-form expression for the drift error. Based on this result, we derive an efficient rate distortion optimization given the statistical knowledge of the channel.

Paper Details

Date Published: 18 January 2004
PDF: 12 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.526154
Show Author Affiliations
Zhen Li, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

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