Context-based adaptive binary arithmetic coding in JVT/H.26L
Detlev Marpe, Heiko Schwarz, G. Blattermann, Guido Heising, Thomas Wiegand · Proceedings - International Conference on Image Processing · 2003
In this paper a new adaptive entropy coding scheme for video compression is presented. It utilizes an adaptive arithmetic coding technique to better match the first order entropy of the coded symbols and to keep track of nonstationary symbol statistics. In addition, remaining symbol redundancies are exploited by context modeling to further reduce the bit-rate. A novel approach for coding of transform coefficients and a table look-up method for probability estimation and arithmetic coding is presented. Our new approach has been integrated in the current JVT test model (JM) to demonstrate the performance gain, and it was adopted as a part of the current JVT/H.26L draft.