Packet losses and objective video quality metrics in H.264 video streaming
作者： Franco Tommasi , Valerio De Luca , Catiuscia Melle
DOI: 10.1016/J.JVCIR.2014.12.003
关键词:
摘要: We analyzed PSNR, BIPSNR, SSIM, 3SSIM, MSSSIM, VQM for various packet loss fractions.A lower bitrate mitigates PSNR impairments caused by losses.BIPSNR has less probability than to be significantly influenced losses.Among structural similarity metrics, SSIM is the least affected losses.VQM metric most losses. Video quality a key factor in modern video streaming systems. compression artifacts affect it but also delay, jitter and may compromise it. Objective metrics have been proposed emulate human visual system: several experimental works evaluated their adherence opinions expressed real users. Instead of dealing with subjective tests, we focused on effects network losses objective metrics: since are generally computationally intensive, convenient approach could consist inferring information about transmission from impairment statistics. did tests two computer-animated videos, whose high color contrasts allow fair comparison between content dependent independent metrics. studied encoding parameters that minimize/maximize values some (PSNR, BI-PSNR, VQM) percentages. Empirical Cumulative Density Function degradations
acm.org
elsevier.com
sci-hub.se 参考文章(83)
G.J. Sullivan, T. Wiegand, Video Compression - From Concepts to the H.264/AVC Standard Proceedings of the IEEE. ,vol. 93, pp. 18- 31 ,(2005) , 10.1109/JPROC.2004.839617
Ralf Lehnert, Qin Dai, Prediction of video perceptual quality in the presence of packet loss international conference on telecommunications. pp. 495- 502 ,(2011)
Alan A Stocker, Eero P Simoncelli, Noise characteristics and prior expectations in human visual speed perception Nature Neuroscience. ,vol. 9, pp. 578- 585 ,(2006) , 10.1038/NN1669
Vern Paxson, Sally Floyd, Why we don't know how to simulate the Internet winter simulation conference. pp. 1037- 1044 ,(1997) , 10.1145/268437.268737
S. Winkler, P. Mohandas, The Evolution of Video Quality Measurement: From PSNR to Hybrid Metrics IEEE Transactions on Broadcasting. ,vol. 54, pp. 660- 668 ,(2008) , 10.1109/TBC.2008.2000733
H.R. Sheikh, M.F. Sabir, A.C. Bovik, A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms IEEE Transactions on Image Processing. ,vol. 15, pp. 3440- 3451 ,(2006) , 10.1109/TIP.2006.881959
A.R. Reibman, V.A. Vaishampayan, Y. Sermadevi, Quality monitoring of video over a packet network IEEE Transactions on Multimedia. ,vol. 6, pp. 327- 334 ,(2004) , 10.1109/TMM.2003.822785
Amy R. Reibman, David Poole, Predicting packet-loss visibility using scene characteristics Packet Video 2007. pp. 308- 317 ,(2007) , 10.1109/PACKET.2007.4397055
K. Seshadrinathan, A.C. Bovik, Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos IEEE Transactions on Image Processing. ,vol. 19, pp. 335- 350 ,(2010) , 10.1109/TIP.2009.2034992
Computer Performance Evaluation Springer Berlin Heidelberg. ,(1998) , 10.1007/3-540-68061-6