基于视觉显著度的H.264冗余片编码技术

针对现有显著度模型不能同时兼顾快速运动场景和慢速运动场景的问题,对显著度模型建模方法中的运动特征提取算法进行改进,提升运动显著度子图的精确性。在此基础上,考虑到人眼视觉系统对图像局部内容更关注的特点,将改进的显著度模型用于H.264视频的冗余片编码技术中,对图像中人眼关注的区域进行冗余片编码,从而提高视频流的传输容错能力。实验结果表明,该技术在丢包网络中能明显提高解码图像的主客观质量。

Redundant Slices Coding Based on Visual Saliency Model for H.264 Video

Because the traditional saliency model can not balance the fast motion scene and the slow motion scene,improves the movement feature extraction algorithm in modeling method of sa liency model,promotes the accuracy of movement saliency subgraph.Considering the human visual system may concentrate more attention on partial region of the picture,applies the improved saliency model into the redundant slices coding for H.264 video,carries out redundant slices coding to the re gion paid attention by human eyes,so improves the error resilient performance of video stream trans mission.The experimental results show that the proposed algorithm can remarkably improve both sub jective and objective quality of the decoded picture in the packetloss environment.