Video quality assessment by reduced reference spatio-temporal entropic differencing

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 23, Issue 4, 2013, Pages 684-694

  Soundararajan, Rajiv ^a,b   Bovik, Alan C ^a  

^a The University of Texas at Austin   (United States)

^b Qualcomm Research India   (India)

Author keywords

Entropy; human visual system; motion information; natural video statistics; reduced reference video quality assessment

Indexed keywords

FRAME DIFFERENCES; GAUSSIAN SCALE MIXTURE MODELS; HUMAN VISUAL SYSTEM; MOTION INFORMATION; REDUCED REFERENCE; TEMPORAL INFORMATION; VIDEO QUALITY ASSESSMENT; WAVELET COEFFICIENTS;

ALGORITHMS; ENTROPY;

VIDEO SIGNAL PROCESSING;

EID: 84875979537     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2012.2214933     Document Type: Article

References (27)

1. K. Seshadrinathan and A. C. Bovik, "Motion-tuned spatio-temporal quality assessment of natural videos," IEEE Trans. Image Process., vol. 19, no. 2, pp. 335-350, Feb. 2010.
2. Z. Wang and Q. Li, "Video quality assessment using a statistical model of human visual speed perception," J. Opt. Soc. Am. A Opt. Image Sci. Vision, vol. 24, no. 12, pp. B61-B69, Dec. 2007. (Pubitemid 351325125)
3. S. Roth and M. Black, "On the spatial statistics of optical flow," Int. J. Comput. Vision, vol. 74, no. 1, pp. 33-50, Aug. 2007. (Pubitemid 46673102)
4. R. Soundararajan and A. C. Bovik, "RRED indices: Reduced reference entropic differencing for image quality assessment," IEEE Trans. Image Process., vol. 21, no. 2, pp. 517-526, Feb. 2012.
5. K. Seshadrinathan, R. Soundararajan, A. C. Bovik, and L. K. Cormack, "Study of subjective and objective quality assessment of video," IEEE Trans. Image Process., vol. 19, no. 6, pp. 1427-1441, Jun. 2010.
6. S. Chikkerur, V. Sundaram, M. Reisslein, and L. J. Karam, "Objective video quality assessment methods: A classification, review, and performance comparison," IEEE Trans. Broadcast., vol. 57, no. 2, pp. 165-182, Feb. 2011.
7. S. Winkler, Digital Video Quality: Vision Models and Metrics. New York: Wiley, 2005.
8. Z. Wang, E. P. Simoncelli, and A. C. Bovik, "Multiscale structural similarity for image quality assessment," in Proc. 37th Asilomar Conf. Signals Syst. Comput., Nov. 2003, pp. 1398-1402.
9. Sarnoff Corporation. (2003). JNDmetrix Technology [Online]. Available: http://www.sarnoff.com/productsservices/videovision/jndmetrix/downloads.asp
10. D. M. Chandler and S. S. Hemami, "VSNR: A wavelet-based visual signal-to-noise ratio for natural images," IEEE Trans. Image Process., vol. 16, no. 9, pp. 2284-2298, Sep. 2007. (Pubitemid 47316675)
11. A. B. Watson, J. Hu, and J. F. McGowan, III, "Digital video quality metric based on human vision," J. Electron. Imag., vol. 10, no. 1, pp. 20-29, Jan. 2001. (Pubitemid 32279358)
12. A. P. Hekstra, J. G. Beerends, D. Ledermann, F. E. de Caluwe, S. Kohler, R. H. Koenen, S. Rihs, M. Ehrsam, and D. Schlauss, "PVQM: A perceptual video quality measure," Signal Process.: Image Commun., vol. 17, no. 10, pp. 781-798, Nov. 2002. (Pubitemid 35282146)
13. M. Barkowsky, J. Bialkowski, B. Eskoer, R. Bitto, and A. Kaup, "Temporal trajectory aware video quality measure," IEEE J. Sel. Topics Signal Process., vol. 3, no. 2, pp. 266-279, Apr. 2009.
14. A. Ninassi, O. Le Meur, P. Le Callet, and D. Barba, "Considering temporal variations of spatial visual distortions in video quality assessment," IEEE J. Sel. Topics Signal Process., vol. 3, no. 2, pp. 253-265, Apr. 2009.
15. M. H. Pinson and S. Wolf, "A new standardized method for objectively measuring video quality," IEEE Trans. Broadcast., vol. 50, no. 3, pp. 312-322, Sep. 2004.
16. M. Masry, S. S. Hemami, and Y. Sermadevi, "A scalable wavelet-based video distortion metric and applications," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 2, pp. 260-273, Feb. 2006.
17. I. P. Gunawan and M. Ghanbari, "Reduced-reference video quality assessment using discriminative harmonic strength with motion consideration," IEEE Trans. Circuits Syst. Video Technol., vol. 18, no. 1, pp. 71-83, Jan. 2008.
18. M. Rohani, A. N. Avanaki, S. Nader-Esfahani, and M. Bashirpour, "A reduced reference video quality assessment method based on the human motion perception," in Proc. 5th Int. Symp. Telecommun., 2010, pp. 831-835.
19. E. P. Simoncelli and W. T. Freeman, "The steerable pyramid: A flexible architecture for multi-scale derivative computation," in Proc. IEEE Int. Conf. Image Process., Oct. 1995, pp. 444-447.
20. M. J. Wainwright and E. P. Simoncelli, "Scale mixtures of Gaussians and the statistics of natural images," in Proc. Adv. Neural Inform. Process. Syst., vol. 12. May 2000, pp. 64-68.
21. H. R. Sheikh and A. C. Bovik, "Image information and visual quality," IEEE Trans. Image Process., vol. 15, no. 2, pp. 430-444, Feb. 2006. (Pubitemid 43126168)
22. P. Thompson, "Perceived rate of movement depends on contrast," Vision Res., vol. 22, no. 3, pp. 377-380, 1982. (Pubitemid 12182275)
23. P. Thompson, K. Brooks, and S. T. Hammett, "Speed can go up as well as down at low contrast: Implications for models of motion perception," Vision Res., vol. 46, nos. 6-7, pp. 782-786, 2006. (Pubitemid 43016109)
24. E. P. Simoncelli and D. J. Heeger, "A model of neuronal responses in visual area MT," Vision Res., vol. 38, no. 5, pp. 743-761, Mar. 1998. (Pubitemid 28081676)
25. D. B. Hamilton, D. G. Albrecht, and W. S. Geisler, "Visual cortical receptive fields in monkey and cat: Spatial and temporal phase transfer function," Vision Res., vol. 29, no. 10, pp. 1285-1308, 1989. (Pubitemid 19257422)
26. D. Sun, S. Roth, and M. J. Black, "Secrets of optical flow estimation and their principles," in Proc. IEEE Conf. Comput. Vision Pattern Recognit., Jun. 2010, pp. 2432-2439.
27. D. C. Burr and J. Ross, "Contrast sensitivity at high velocities," Vision Res., vol. 23, no. 4, pp. 3567-3569, 1982.