论文部分内容阅读
In this paper,we present a video coding scheme which applies the technique of visual saliency computation to adjust image fidelity before compression.To extract visually salient features,we construct a spatio-temporal saliency map by analyzing the video using a combined bottom-up and top-down visual saliency model.We then use an extended bilateral filter,in which the local intensity and spatial scales are adjusted according to visual saliency,to adaptively alter the image fidelity.Our implementation is based on the H.264 video encoder JM12.0.Besides evaluating our scheme with the H.264 reference software,we also compare it to a more traditional foreground-background segmentation-based method and a foveation-based approach which employs Gaussian blurring.Our results show that the proposed algorithm can improve the compression ratio significantly while effectively preserving perceptual visual quality.
In this paper, we present a video coding scheme which applies the technique of visual saliency computation to adjust image fidelity before compression. Highlight extract salient features, we construct a spatio-temporal saliency map by analyzing the video using a combined bottom-up and top-down visual saliency model. We then use an extended bilateral filter, in which the local intensity and spatial scales are adjusted according to visual saliency, to adaptively alter the image fidelity. Our implementation is based on the H.264 video encoder JM12. 0.Besides evaluating our scheme with the H.264 reference software, we also compare it to a more traditional foreground-background segmentation-based method and a foveation-based approach which enables Gaussian blurring. Our results show that the proposed algorithm can improve the compression ratio while effectively preserving perceptual visual quality.