基于视觉显著度的H.264冗余片编码技术  

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

作　　者：曾鹏[1] 许平[1] 

机构地区：[1]江汉大学数学与计算机科学学院,湖北武汉430056

出　　处：《江汉大学学报（自然科学版）》2013年第1期67-70,共4页Journal of Jianghan University：Natural Science Edition

基　　金：武汉市科技局科技计划项目(201250499145-45);湖北省教育厅科学技术研究项目(B20123408)

摘　　要：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。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.

关 键 词：冗余片 容错编码 显著度模型 视觉注意 H 264视频 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]