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http://dx.doi.org/10.5909/JBE.2013.18.2.283

Multimedia No-reference Video Quality Assessment Methods Using Bit Stream Information  

Seo, Guiwon (Department of Electrical and Electronic Engineering, Yonsei University)
Ok, Jiheon (Department of Electrical and Electronic Engineering, Yonsei University)
Lee, Kwon (Department of Electrical and Electronic Engineering, Yonsei University)
Lee, Jae Ho (Department of Electrical and Electronic Engineering, Yonsei University)
Lee, Chulhee (Department of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of Broadcast Engineering / v.18, no.2, 2013 , pp. 283-296 More about this Journal
Abstract
Various video services with networks are increasingly available as smart phones, computers and IPTV are widely used. However, transmission over networks may experience transmission errors due to traffic increases and noise. As a result, video quality may suffer. Therefore, quality monitoring emerges as an important issue. In this paper, we propose a video quality assessment method using bit stream information. The video quality metric is calculated using header information and ES (elementary stream) information. To assess performance of the proposed algorithm, subjective quality assessment tests are conducted (VGA resolution). It is shown high correlation between subjective result and the proposed method.
Keywords
quality assessment; IPTV; perceptual quality; bitstream information;
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1 J. Choe and C. Lee, "Estimation of the peak signal-to-noise ratio for compressed video based on generalized Gaussian modeling," Optical Engineering 46(10), 107401, October, 2007.   DOI   ScienceOn
2 H. Liu, N. Klomp and I. Heynderickx, "No-Reference Metric for Perceived Ringing Artifacts in Images," IEEE Trans. Circuits Syst. Video Technol., vol. 20, no. 4, pp. 529-539, April, 2010.   DOI   ScienceOn
3 ITU-T Recommendation J.144, "Objective perceptual video quality measurement techniques for digital cable television in the presence of a full reference," 2004.
4 ITU-T Recommendation J.246, "Perceptual visual quality measurement techniques for multimedia services over digital cable television networks in the presence of a reduced bandwidth reference," 2008.
5 ITU-T Recommendation J.247, "Objective perceptual multimedia video quality measuremnt in the presence of a full reference," 2008.
6 ITU-T Recommendation J.249, "Perceptual video quality measurement techniques for digital cable television in the presence of a reduced reference," 2010.
7 ITU-T Recommendation J.341, "Objective perceptual multimedia video quality measurement of HDTV for digital cable television in the presence of a full reference," 2011.
8 ITU-T Recommendation J.341, "Objective multimedia video quality measurement of HDTV for digital cable television in the presence of a reduced reference signal," 2011.
9 S. Winkler and P. Mohandas, "The Evolution of Video Qulaity Measurment: From PSNR to Hybrid Metrics," IEEE Trans. Broadcasting, vol. 54, no. 3, September, 2008.
10 ITU-T Recommendation P.1201, "Parametric non-intrusive assessment of audiovisual media streaming quality," 2012.
11 ITU-T Recommendation P.1202, "Parametric non-intrusive bitstream assessment of video media streaming quality," 2012.
12 S. Lee, K. Jung and D. Sim, "Real-time Objective Quality Assessment Based on Coding Parameters Extracted from H.264/AVC Bitstream," IEEE Trans. Consum. Electr., vol. 56, no. 2, pp. 1071-1078, May, 2010.   DOI   ScienceOn
13 X. Lin, H. Ma, L. Luo and Y. Chen, "No-reference Video Quality Assessment in the Compressed Domain," IEEE Trans. Consum. Electr., vol. 58, no. 2, pp. 505-512, May, 2012.   DOI   ScienceOn
14 M. Naccari, M. Tagliasacchi and S. Tubaro, "No-Reference Video Quality Monitoring for H.264/AVC Coded Video," IEEE Trans. Multimedia, vol. 11, no. 5, pp. 932-946, August, 2009.   DOI   ScienceOn
15 O. Suguimoto, S. Natio, S. Sakazawa and A. Koike, "Objective Perceptual Video Quality Measurement Method Based on Hybrid No Reference Framework," in Proc. 16th IEEE Internal Conferenceon Image Processing, Egypt, November, 2009.
16 A. Ichigaya, Y. Nishida and E. Nakasu, "Nonreference method for estimation PSNR of MPEG-2 Coded Video by using DCT coefficients and picture energy," IEEE Trans. Circuits Syst. Video Techonol. vol. 18, no. 6, pp.817-826, May 2008.   DOI   ScienceOn
17 S. Shim, J. Moon and J. Han, "PSNR estimation using coefficient distribution of frequency domain in H.264 decoder," IET Electron. Lett. vol. 44, no,. 2, Jan. 2008.
18 A. Eden, "No-reference estimation of the coding PSNR for H.264-coded sequences," IEEE Trans. Consum. Electr. vol. 53, no. 2, pp. 667-674, May 2007.   DOI   ScienceOn
19 T. Brandao and M. P. Queluz, "No-reference quality assessment for H.264/AVC encoded video," IEEE Trans. Circuits Syst. Video Technol. vol. 20. no. 11, pp. 1437-1147, Nov. 2010.   DOI   ScienceOn
20 Y. Pitrey, U. Engelke, M. Barkowsky, R. Pepion, and P. L. Callet, "Subjective quality of svc-coded videos with different error-patterns concealed using spatial scalability," EUVIP, Paris, 2011.
21 Y. Xu and Y. Zhou, "H.264 video communication based refined error concealment schemes," IEEE Trans. on Consumer Electronics, vol. 50, no. 4, pp. 1135-1141, Nov, 2004.   DOI   ScienceOn
22 S. Kumar, L. Xu, M. K. Mandal, S. Panchanathan, "Error resiliency schemes in H.264/AVC standard," J. Vis. Commun. Image R., vol. 17, pp. 425-450, 2006.   DOI   ScienceOn
23 Y. Zhang, W. Gao, H. Sun, Q. Huang, Y. Lu, "Error resilience video coding in H.264 encoder with potential distortion tracking," Image Processing, ICIP 2004 International Conference on., 2004.
24 ITU-R Recommendation BT.500-11, "Methodology for the subjective assessment for the quality of television pictures," 2002.
25 ITU-T Recommendation P.910, "Subjective video quality assessment methods for multimedia applications," 2008.
26 Zhou Wang, Hamid R. Sheikh and Alan C. Bovik, "Objective Video Quality Assessment," in The Handbook of Video Databases: Design and Applications (B. Furht and O. Marques, eds.), CRC Press, September, 2003.
27 Cisco, "Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2011-2016," February, 2102.
28 A.M. Eskicioglu, P.S. Fisher, "Image quality measures and their performance," IEEE Trans. Comm. 43, pp. 2959-2965, December, 1995.   DOI   ScienceOn
29 B. Girod, "What's wrong with mean-squared error," A.B. Watson (Ed.) Digital Images and Human Vision, MIT Press, Cambridge, MA, pp. 207-220, 1993.
30 P.C. Teo, D.J. Heeger, "Perceptual image distortion," Proceedings of the SPIE, Vol. 2179, pp. 127-141, 1994.
31 Zhou Wang, Ligang Lu and Alan C. Bovik, "Video quality assessment based on structural distortion measurement," Signal Processing: Image communication 19, pp. 121-132, 2004.   DOI   ScienceOn
32 Margaret H. Pinson and Stephen Wolf, "A New Standardized Method for Objectively Measuring Video Quality," IEEE Trans. Broadcasting vol. 50, no. 3, pp. 312-322, September, 2004.   DOI   ScienceOn
33 Zhou Wang and Eero P. Simoncelli, "Reduced-Reference Image Quality Assessment Using A Wavelet-Domain Natural Image Static Model," Proceedings of SPIE, vol. 5666, pp. 149-159, 2005.
34 Irwan P. Gunawan and Mohammed Ghanbari, "Reduced-Reference Video Quality Assessment using Discriminative Local Harmonic Strength with Motion Consideration," IEEE Trans. Circuits and Systems for Video Technology, vol. 18, no. 1, January 2008.
35 C. Lee, S. Lee, J. Lee, K. Lee, H. Choi, G. Seo and J. Park, "Video quality measurement for multimedia applications using reduced-reference signals," Optical Engineering 50(6), 067403, June, 2011.   DOI   ScienceOn
36 Mylene C.Q. Farias and Sanjit K. Mitra, "No-reference Video Quality Metric based on Artifact Measurements," ICIP 2005, IEEE International Conference on, vol. 3, September, 2005.
37 H. Choi and C. Lee, "No-reference image quality metric based on image classification," EURASIP Journal on Advances in Signal Processing, 2011:65. September, 2011.