Perceptual Video Coding based on Adaptive Region-Level Intra-Period

According to the human visual system (HVS), video regions have various visual masking effects and saliency features. However, in the existing perceptual video coding schemes, different regions in a picture basically keep the same coding mode, which does not make full use of the perceptual properties. Therefore, this paper proposes a perceptual video coding method based on adaptive region-level intra-period for conversational video service. Firstly, by considering the perceptual properties of video content, a picture is divided into two groups of regions, namely regions of interest (ROIs) and regions of non-interest (nonROIs). Then, a just noticeable difference (JND)-based distortion propagation estimation model is proposed to determine an appropriate region-level intra-period value for regions according to their content characteristics and perceptual importance. Further, a region-level bit allocation method is used to update the coding resource allocation process. The experimental results demonstrate that the proposed method performs much better than the existing schemes in terms of bits saving and the perceived visual quality.