Objective video quality metric based on data hiding

IEEE Transactions on Consumer Electronics

Volumn 51, Issue 3, 2005, Pages 983-992

  Farias, Mylène C Q ^a   Carli, Marco ^b   Mitra, Sanjit K ^c  

^a INTEL CORPORATION   (United States)

^b ROMA TRE UNIVERSITY   (Italy)

^c University of California   (United States)

Author keywords

Artifacts; Data hiding; Quality metric; Video quality assessment

Indexed keywords

ALGORITHMS; CORRELATION METHODS; DATA ACQUISITION; ERROR ANALYSIS; FEATURE EXTRACTION; IMAGE COMMUNICATION SYSTEMS; IMAGE COMPRESSION;

ARTIFACTS; DATA HIDING; MEAN OBSERVER SCORE (MOS); OBJECTIVE VIDEO QUALITY METRIC; TOTAL SQUARED ERROR (TSE); VIDEO FRAMES; VIDEO QUALITY ASSESSMENT;

IMAGE QUALITY;

EID: 27144525472     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2005.1510512     Document Type: Article

References (29)

1. M. Yuen and H. R. Wu, "A survey of hybrid MC/DPCM/DCT video coding distortions," Signal Processing, vol. 70, pp. 247-78, October 1998.
2. ITU Recommendation P.930, "Principles of a reference impairment system for video," 1996.
3. Mylene C.Q. Farias, No-Reference and Reduced Reference Video Quality Metrics: New Contributions, Ph.D Dissertation, Dept. of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA, 2004.
4. M.S. Moore, J.M. Foley, and S.K. Mitra, "Defect visibility and content importance: Effects on perceived impairment," Image Communication, vol. 19, pp. 185-203, February 2004.
5. ITU Recommendation BT.500-8, "Methodology for the subjective assessment of the quality of television pictures," 1998.
6. S. Daly, "The visible differences predictor: an algorithm for the assessment of image fidelity," in Digital images and human vision, Andrew B. Watson, Ed. Cambridge, Massachusetts: MIT Press, 1993, pp. 179-206.
7. J. Lubin, "The use of psychophysical data and models in the analysis of display system performance," in Digital images and human vision, Andrew B. Watson, Ed. Cambridge, Massachusetts: MIT Press, 1993, pp. 163-178.
8. A. B. Watson, Hu James, and J. F. McGowan, "Digital video quality metric based on human vision," Journal of Electronic Imaging, vol. 10, pp. 20-9.
9. S. Wolf, M. H. Pinson, S. D. Voran, and A. A. Webster, "Objective quality assessment of digitally transmitted video," Proc. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, BC, Canada, pp. 477-82 vol, 9-10 May 1991.
10. S. Winkler, Vision models and quality metrics for image processing applications, Ph.D. Dissertation, Signal Processing Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, 2000.
11. S. Winkler, "Issues in vision modeling for perceptual video quality assessment," Signal Processing, vol. 78, pp. 231-52, October 1999.
12. A. A. Webster, C. T. Jones, M. H. Pinson, S. D. Voran, and S. Wolf, "An objective video quality assessment system based on human perception," Proc. SPIE Conference on Human Vision, Visual Processing, and Digital Display IV, San Jose, CA, USA, pp. 15-26, 1-4 February 1993.
13. P. Bretillon, J. Baina, M. Jourlin, and G. Goudezeune, "Method for image quality monitoring on digital television networks," Proc. SPIE Conference on Multimedia Systems and Applications II, Boston, MA, USA. pp. 298-306, 20-22 Sept. 1999.
14. H.R. Wu and M.; Yuen, "A generalized block-edge impairment metric for video coding," IEEE Signal Processing Letters, vol. 4, pp. 317-320, Nov. 1997.
15. Zhou Wang, A.C. Bovik, and B,L. Evan, "Blind measurement of blocking artifacts in images," Proc. IEEE International Conference on Image Processing, pp. 981-984, 10-13 September 2000.
16. J. Caviedes and J. Jung, "No-Reference Metric for a Video Quality Control Loop," Proc. 5th World Multiconference on Systemics, cybernetics, and Informatics, pp. 290-5, July 2001.
17. P. Campisi, M. Carli, G. Giunta, and A. Neri, "Blind quality assessment system for multimedia communication using tracing watermarking," IEEE Transaction on Signal Processing, Special issue on Signal Processing for Data Hiding in Digital Media, vol. 51, pp. 996-1002, April 2003.
18. M.C.Q. Farias, S.K. Mitra, M. Carli, and A. Neri, "A comparison between an objective quality measure and the mean annoyance values of watermarked videos," Proc. IEEE International Conference on Image Processing, Rochester, NY, pp. 469 -472, 24-28 June 2002.
19. M. Barni, F. Bartolini, A. De Rosa, and A. Abstract Piva, "Capacity of full frame DCT image watermarks," IEEE Transactions of Image Processing, vol. 9, pp. 1450-5, August 2000.
20. O. Sugimoto, R. Kawada, M. Wada, and S. Matsumoto, "Objective measurement scheme for perceived picture quality degradation caused by MPEG encoding without any reference pictures," Proc. SPIE Conference on Human Vision and Electronic Imaging, San Jose, CA, USA, pp. 932-939, January 1998.
21. M. Holliman and M. Young, "Watermarking for Automatic Quality Monitoring," Proc. SPIE Conference on Security and Watermarking of Multimedia Contents, San Jose, CA, USA, pp. 458-469, January 2002.
22. N. Nikolaidis and I. Pitas, "Robust image watermarking in the spatial domain," Signal Processing, vol. 66, pp. 385-403, May 1998.
23. M. Barni. F Bartolini, V. Cappellini, and A. Piva, "A DCT-domain system for robust image watermarking," Signal Processing, vol. 66, pp. 357-372, May 1998.
24. I. Cox, J. Kilian, F. Leighton, and T. Shamoon, "Secure spread spectrum watermarking for multimedia," IEEE Trans. on Image Processing, vol. 6, pp. 1673-1687, December 1997.
25. H. Inoue, A.Miyazaki, and T. Katsura, "An image watermarking method based on the wavelet transform," Proc. IEEE International Conference on Image Processing, Kobe, Japan, pp. 296-300, October 1999.
26. S. Winkler, E. D. Gelasca, and T. Ebrahimi, "Perceptual quality assessment for video watermarking," Proc. IEEE International Conference on Information Technology: Coding and Computing, Las Vegas, USA, pp. 90-4, April 2002.
27. Video Quality Experts Group, "VQEG Subjective Test Plan," http://ftp.crc.ca/test/pub/crc/vqeg/.
28. W. Hays, Statistics for the social sciences, 3 ed. Madison Avenue, New York, N.Y.: LLH Technology Publishing, 1981.
29. M. S. Moore, J. M. Foley, and S. K. Mitra, "Comparison of the detectability and annoyance value of embedded MPEG-2 artifacts of different type, size, and duration," Proc. SPIE Conference on Human Vision and Electronic Imaging VI, San Jose, CA, pp. 90-101, January 2001.