[1]佟雨兵,胡薇薇,杨东凯.视频质量评价方法综述[J].计算机辅助设计与图形学学报,2006,18(5): 735-741.[2]BRANDEN V D, LAMBRECHT C J, VERSCHEURE O. Perceptual quality measure using a spatio-temporal model of the human visual system[J]. Signal Processing, 1996,266(8):450-461.[3]马苗,郝重阳.基于灰度关联分析的图像保真度准则[J]. 计算机辅助设计与图形学学报,2004,16(7): 976-983.[4]凌云,夏军,屠彦. 视觉感兴趣区的提取及其在视频图像质量评估中的应用[J].东南大学学报:自然科学版,2009,39(4):753-757.[5]袁飞,黄联芬,姚彦.一种基于HVS特性的视频质量评测方法[J].光电工程,2008,35(1):120-125.[6]袁飞,程恩.视频质量评价中时域信息检测的新方法[J].光电工程,2009,36(8):123-126.[7]徐琰,王超.基于模糊数学的数字图像模糊度[J].计算机辅助设计与图形学学报, 2002, 14(8): 747-749.[8]CHIEH K Y, CLARK C, PANKAJ K D. Perceptual temporal quality metric for compressed video[J]. IEEE Transactions on Multimedia, 2007,9(10):920-945.[9]ITU-R BT.500-11, Methodology for the subjective assessment of the quality of television pictures [S]. ITU, 2002.[10]SIMONE D, NACCARI M, TAGLIA M, et al. Subjective assessment of H. 264/AVC video sequences transmitted over a noisy channel [C]// International Workshop on Quality of Multimedia Experience. Piscataway, NJ: IEEE Press, 2009:204-209.[11]袁飞,黄联芬,姚彦.一种基于HVS特性的视频质量评测方法[J].光电工程,2008,35(1):120-125.[12]OELBAUM T, KEIMEI C, DIEPOLD K. Rule-based no-reference video quality evaluation using additionally coded videos[J]. IEEE Journal Selected Topics in Signal Processing,2009,3(2):294-303.[13]LIE A, KLAUE J. Evalvid-RA: Trace driven simulation of rate adaptive MPEG-4 VBR video[J]. Multimedia Systems, 2007, 13(1): 221-234. |