Abstract: Towards the compression issue for multi-view video coding,a visual saliency based coding algorithm was proposed.Based on the fact that the human eyes are more sensitive to the distortion of the salient regions,the proposed method employed the controlling of the coding quality of the salient and non-salient regions to improve the multi-view video coding efficiency.First,pixel based visual saliency map of the multi-view video was extracted by the color and motion information fusion based video saliency filter.Then,the visual saliency map was transformed to the saliency representation of the coding macroblock.Finally,through the principle of the perceptual video coding,the coding quality of each macroblock was adaptively controlled based on its saliency representation.The experimental results demonstrate that the proposed method can effectively improve the rate-distortion performance and the subjective quality of the multi-view video coding.

Key words: Saliency,3D video,Rate allocation,Quantization parameter