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Efficient entropy coding for video compression by using context-based adaptive binary arithmetic coding

: Marpe, D.; Blättermann, G.; Heising, G.; Wiegand, T.

Huber, J. ; Informationstechnische Gesellschaft -ITG-:
4th International ITG Conference Source and Channel Coding 2002. Conference record : January 28 - 30, 2002, Berlin
Berlin: VDE-Verlag, 2002 (ITG-Fachbericht 170)
ISBN: 3-8007-2670-X
International Conference Source and Channel Coding <4, 2002, Berlin>
Fraunhofer HHI ()

A new entropy coding scheme for video compression is presented. Context models are utilized for efficient prediction of the coding symbols. A novel binary adaptive arithmetic coding technique is employed to match the conditional entropy of the coding symbols given the context model estimates. The adaptation is also employed to keep track of non-stationary symbol statistics. Our new approach has been integrated into the current ITU-T H.26L test model (TML) to demonstrate the performance gain. By using our new entropy coding scheme instead of the current one variable length code approach of the current TML, large bit-rate savings up to 32% can be achieved. As a remarkable outcome of our experiments, we observed that high gains are reached not only at high bit-rates, but also at very low rates.