Heuristic dynamic complexity coding

Jozef Škorupa; Jürgen Slowack; Stefaan Mys; Peter Lambert; Rik Van de Walle

doi:10.1117/12.779948

25 April 2008 Heuristic dynamic complexity coding

Jozef Škorupa, Jürgen Slowack, Stefaan Mys, Peter Lambert, Rik Van de Walle

Proceedings Volume 7000, Optical and Digital Image Processing; 70000G (2008) https://doi.org/10.1117/12.779948
Event: SPIE Photonics Europe, 2008, Strasbourg, France

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.

Citation Download Citation

Jozef Škorupa, Jürgen Slowack, Stefaan Mys, Peter Lambert, and Rik Van de Walle "Heuristic dynamic complexity coding", Proc. SPIE 7000, Optical and Digital Image Processing, 70000G (25 April 2008); https://doi.org/10.1117/12.779948

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