Content-adaptive robust error concealment for packet-lossy H.264 video streaming

作     者：LIAO Ning YAN Dan QUAN Zi-yi MEN Ai-dong 

作者机构：Multimedia Center School of Telecommunication Engineering Beijing University of Posts & Telecom Beijing 100876 China Multimedia Center School of Telecommunication Engineering Beijing University of Posts & Telecom Beijing 100876 China Multimedia Center School of Telecommunication Engineering Beijing University of Posts & Telecom Beijing 100876 China Multimedia Center School of Telecommunication Engineering Beijing University of Posts & Telecom Beijing 100876 China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2006年第7卷第z1期

页      面：41-47页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 081001[工学-通信与信息系统] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Project supported by the Teaching and Research Award Program for Outstanding Young Professor in High Education Institute  Ministration of Education  China 

主　　题：Error concealment, Error control, H.264/AVC, Video streaming, Lossy transmission 

摘      要：In this paper, we present a spatio-temporal post-processing error concealment (EC) algorithm designed initially for a H.264 video-streaming scheme over packet-lossy networks. It aims at optimizing the subjective quality of the restored video under the constraints of low delay and computational complexity, which are critical to real-time applications and portable devices having limited resources. Specifically, it takes into consideration the physical property of motion field in order to achieve more meaningful perceptual video quality, in addition to the improved objective PSNR. Further, a simple bilinear spatial interpolation approach is combined with the improved boundary-match (B-M) based temporal EC approach according to texture and motion activity analysis. Finally, we propose a low complexity temporal EC method based on motion vector interpolation as a replacement of the B-M based approach in the scheme under low-computation requirement, or as a complement to further improve the scheme s performance in applications having enough computation resources. Extensive experiments demonstrated that the proposal features not only better reconstruction, objectively and subjectively, than JM benchmark, but also robustness to different video sequences.