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Proceedings Paper

Heuristic dynamic complexity coding
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Paper Abstract

Distributed video coding is a new video coding paradigm that shifts the computational intensive motion estimation from encoder to decoder. This results in a lightweight encoder and a complex decoder, as opposed to the predictive video coding scheme (e.g., MPEG-X and H.26X) with a complex encoder and a lightweight decoder. Both schemas, however, do not have the ability to adapt to varying complexity constraints imposed by encoder and decoder, which is an essential ability for applications targeting a wide range of devices with different complexity constraints or applications with temporary variable complexity constraints. Moreover, the effect of complexity adaptation on the overall compression performance is of great importance and has not yet been investigated. To address this need, we have developed a video coding system with the possibility to adapt itself to complexity constraints by dynamically sharing the motion estimation computations between both components. On this system we have studied the effect of the complexity distribution on the compression performance. This paper describes how motion estimation can be shared using heuristic dynamic complexity and how distribution of complexity affects the overall compression performance of the system. The results show that the complexity can indeed be shared between encoder and decoder in an efficient way at acceptable rate-distortion performance.

Paper Details

Date Published: 25 April 2008
PDF: 8 pages
Proc. SPIE 7000, Optical and Digital Image Processing, 70000G (25 April 2008); doi: 10.1117/12.779948
Show Author Affiliations
Jozef Škorupa, Ghent Univ. (Belgium)
Jürgen Slowack, Ghent Univ. (Belgium)
Stefaan Mys, Ghent Univ. (Belgium)
Peter Lambert, Ghent Univ. (Belgium)
Rik Van de Walle, Ghent Univ. (Belgium)

Published in SPIE Proceedings Vol. 7000:
Optical and Digital Image Processing
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet, Editor(s)

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