基于内容感知的可分级视频码流排序方法  

Content-Aware Based Sorting Approach of Scalable Video Bit Stream

作　　者：周莺[1] 柳伟[2] 张基宏[1] 

机构地区：[1]深圳大学信息工程学院,广东省深圳市518060 [2]深圳信息职业技术学院可视媒体处理与传输深圳市重点实验室,广东省深圳市518172

出　　处：《信号处理》2013年第8期1012-1018,共7页Journal of Signal Processing

基　　金：国家自然科学基金资助项目(61172165);广东省自然科学基金项目(S2011010006113)

摘　　要：为了提高传输效率,改善视频播出质量,提出一种基于内容感知的可分级视频码流排序方法。根据人眼对运动变化场景的主观感受,自适应加权前、背景运动矢量,建立描述视频动态特性的模型,结合视频编码结构和率失真模型,对帧级别的数据包重要性进行标记并按照优先级进行排序。实验结果表明,该方法能准确描述视频动态性,有效提高视频播出质量,尤其对于运动场景复杂的视频,该方法能明显改善人眼主观感受。This paper proposes a scalable video stream sorting approach based on content-aware in order to improve the transmission efficiency and the video broadcast quality. According to the human subjective perception of changing scenes, the model is established to describe the dynamic characteristics of the video. Object and background motion vectors are weighted adaptively. The video packets on the frame level are tagged and sorted by the approach mentioned in this paper, which is combined with the video coding structure and the rate-distortion model. Experimental results show that the method can accurately describe the video dynamic characteristic and effectively improve the video broadcast quality and human sub-jective perception. This method is more significant for the complex video sports scene.

关 键 词：数据包重要性 优先级 码流排序 内容感知 视频动态性 运动矢量 

分 类 号：TN919[电子电信—通信与信息系统]