Temporal video quality model accounting for variable frame delay distortions

IEEE Transactions on Broadcasting

Volumn 60, Issue 4, 2014, Pages 637-649

  Pinson, Margaret H ^a   Choi, Lark Kwon ^b   Bovik, Alan Conrad ^b  

^a Institute for Telecommunication Sciences   (United States)

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

Author keywords

Edge detection; Variable frame delay; Video quality assessment; Video quality database; Video quality model; VQM VFD

Indexed keywords

DATABASE SYSTEMS; EDGE DETECTION; SUBJECTIVE TESTING; VIDEO SIGNAL PROCESSING;

FRAME DELAY; VIDEO QUALITY; VIDEO QUALITY ASSESSMENT; VIDEO QUALITY DATABASE; VQM-VFD;

QUALITY CONTROL;

EID: 84917734292     PISSN: 00189316     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBC.2014.2365260     Document Type: Article

References (34)

1. (2011, Nov. 5). LIVE Mobile Video Quality Database. [Online]. Available: http://live.ece.utexas.edu/research/quality/live-mobile-video.html
2. S. Wolf and M. Pinson, "Video quality measurement techniques," U.S. Dept. Commer., Nat. Telecommun. Inf. Admin., Boulder, CO, USA, Tech. Rep. TR-02-392, Jun. 2002.
3. 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.
4. S. Wolf and M. H. Pinson, "Video quality model for variable frame delay (VQM-VFD)," U.S. Dept. Commer., Nat. Telecommun. Inf. Admin., Boulder, CO, USA, Tech. Memo TM-11-482, Sep. 2011.
5. (2014, Nov. 3). Video Quality Metric (VQM) Software. [Online]. Available: http://www.its.bldrdoc.gov/vqm/
6. A. K. Moorthy, L. K. Choi, A. C. Bovik, and G. de Veciana, "Video quality assessment on mobile devices: Subjective, behavioral and objective studies," IEEE J. Sel. Topics Signal Process., vol. 6, no. 6, pp. 652-671, Oct. 2012.
7. C. Wang and X. Jiang, "Video quality assessment for IPTV services: A survey," in Proc. 7th Int. Conf. Comput. Convergence Technol. (ICCCT), Seoul, Korea, Dec. 2012, pp. 182-186.
8. M. Pinson and S. Wolf, "An objective method for combining multiple subjective data sets," SPIE Video Commun. Image Process. Conf., vol. 5150, pp. 8-11, Jul. 2003.
9. M. H. Pinson and S. Wolf, "Reduced reference video calibration algorithms," U.S. Dept. Commer., Nat. Telecommun. Inf. Admin., Boulder, CO, USA, Tech. Rep. TR-08-433b, Nov. 2007.
10. S. Wolf, "Variable frame delay (VFD) parameters for video quality measurements," U.S. Dept. Commer., Nat. Telecommun. Inf. Admin., Boulder, CO, USA, Tech. Memo TM-11-475, Apr. 2011.
11. M. Pinson and S. Wolf, "Fast low bandwidth model: A reduced reference video quality metric," U.S. Dept. Commer., Nat. Telecommun. Inf. Admin., Boulder, CO, USA, Tech. Memo TM-13-497, Jun. 2013.
12. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
13. 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.
14. A. K. Moorthy, C.-C. Su, A. Mittal, and A. C. Bovik, "Subjective evaluation of stereoscopic image quality," Signal Process. Image Commun., vol. 28, no. 8, pp. 870-883, Sep. 2013.
15. H. Schwarz, D. Marpe, and T. Wiegand, "Overview of the scalable video coding extension of the H. 264/AVC standard," IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 9, pp. 1103-1120, Sep. 2007.
16. (2011, Nov. 5). SVC Reference Software (JSVM Software). [Online]. Available: http://www.hhi.fraunhofer.de/de/kompetenzfelder/image-processing/research-groups/image-video-coding/svc-extension-ofh264avc/jsvm-reference-software.html
17. A. K. Moorthy, K. Seshadrinathan, R. Soundararajan, and A. C. Bovik, "Wireless video quality assessment: A study of subjective scores and objective algorithms," IEEE Trans. Circuits Syst. Video Technol., vol. 20, no. 4, pp. 513-516, Apr. 2010.
18. B. Wandell, Foundations of Vision. Sunderland, MA, USA: Sinauer Associates, 1995.
19. Methodology for the Subjective Assessment of the Quality of Television Pictures, ITU-R Rec. BT.500-11, Jun. 2012.
20. M. H. Pinson and S. Wolf, "Comparing subjective video quality testing methodologies," SPIE Video Commun. Image Process. Conf., vol. 5150, pp. 573-582, Jul. 2003.
21. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to structural similarity," IEEE Signal Process. Lett., vol. 13, no. 4, pp. 600-612, Apr. 2004.
22. S. D. Voran and A. A. Catellier, "When should a speech coding quality increase be allowed within a talk-spurt?" in Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), Vancouver, BC, Canada, May 2013, pp. 8149-8153.
23. D. S. Hands, "Temporal characteristics of forgiveness effect," Electron. Lett., vol. 37, no. 12, pp. 752-754, Jun. 2001.
24. Z. Wang, L. Lu, and A. Bovik, "Foveation scalable video coding with automatic fixation selection," IEEE Trans. Image Process., vol. 12, no. 2, pp. 243-254, Feb. 2003.
25. 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.
26. 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.
27. Z. Wang and A. C. Bovik, "A universal image quality index," IEEE Signal Process. Lett., vol. 9, no. 3, pp. 81-84, Mar. 2002.
28. N. Damera-Venkata, T. D. Kite, W. S. Geisler, B. L. Evans, and A. C. Bovik, "Image quality assessment based on a degradation model," IEEE Trans. Image Process., vol. 9, no. 4, pp. 636-650, Sep. 2002.
29. J. Mannos and D. Sakrison, "The effects of a visual fidelity criterion of the encoding of images," IEEE Trans. Inf. Theory, vol. 20, no. 4, pp. 525-536, Jul. 1974.
30. 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.
31. M. Pinson et al., "The influence of subjects and environment on audiovisual subjective tests: An international study," IEEE J. Sel. Topics Signal Process., vol. 6, no. 6, pp. 640-651, Oct. 2012.
32. H. R. Sheikh, M. F. Sabir, and A. C. Bovik, "A statistical evaluation of recent full reference image quality assessment algorithms," IEEE Trans. Image Process., vol. 15, no. 11, pp. 3440-3451, Nov. 2006.
33. Video Quality Experts Group (VQEG). (2000). Final Report From the Video Quality Experts Group on the Validation of Objective Quality Metrics for Video Quality Assessment Phase I. [Online]. Available: http://www.its.bldrdoc.gov/vqeg/projects/frtv-phaseI
34. (2011, Nov. 5). MeTriX MuX Visual Quality Assessment Package README. [Online]. Available: http://foulard.ece.cornell.edu/gaubatz/metrix-mux/