dvmmPub128

Daby Sow, Alexandros Eleftheriadis. Algorithmic Representation of Visual Information. In IEEE International Conference on Image Processing (ICIP), Santa Barbara, CA, October 1997.

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Abstract

In [6], we have introduced Complexity Distortion Theory, a mathematical framework characterizing the design of programmable communication systems. In this paper, we show how Complexity Distortion Theory fits in the MPEG-4 context and more generally in any system allowing programmability, by formalizing the concept of programmable decoders. We also show how it can be used to design intelligent encoders at two exibility levels: the first one corresponding to the case where exibility in the algorithm selection is allowed and the second where downloadability of new tools for representation is also allowed.

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@InProceedings{dvmmPub128,
   Author = {Sow, Daby and Eleftheriadis, Alexandros},
   Title = {Algorithmic Representation of Visual Information},
   BookTitle = {IEEE International Conference on Image Processing (ICIP)},
   Address = {Santa Barbara, CA},
   Month = {October},
   Year = {1997}
}

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