Adaptive quantization in a perceptive uniform color space: An application to H.263 coding.

In this work we propose a method for adaptive quantization of motion compensation residuals, in an H.263 coding scheme, based on color information. In the proposed strategy, the perceptive distance between the original and the predicted version of each macroblock is evaluated in the perceptive uniform color space L*,a*,b*. Exploiting the properties of the perceptive uniform color spaces, the color distance is easily evaluated by means of the Euclidean distance, and its average value is compared with a threshold in order to choose the suitable quantization. Simulation results show that the adaptive quantization is very efficient in reducing the bit-rate when the sequences exhibit slow regular motion, and the quantization performances are upper-bounded by the motion compensation performances. In fact, for sequences with low-medium amount of motion, the block-based motion compensation efficiently predicts the actual frame from adjacent ones and the residuals are due to noise, or to small color variations. Then, in these cases, the adaptive quantization can provide significant bit-rate reduction (about 10%), without subjective quality degradation. The proposed strategy is strictly compatible with the H.263 coding standard; however it is quite general, and can be usefully exploited in different coding frameworks, based on various motion compensation techniques, whenever motion compensation residuals are evaluated.