Temporal information assisted video quality metric for multimedia

2010 IEEE International Conference on Multimedia and Expo, ICME 2010

Volumn , Issue , 2010, Pages 697-701

  Liu, Tsung Jung ^a   Liu, Kuan Hsien ^a   Liu, Hsin Hua ^b  

^a Arizona State University   (United States)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Motion estimation; Speed similarity; Temporal information; Video quality assessment; Video quality score

Indexed keywords

COMPENSATION FACTOR; IMAGE QUALITY ASSESSMENT; MULTIMEDIA VIDEO; OBJECTIVE VIDEO QUALITY METRICS; QUALITY ASSESSMENT; SPATIAL DOMAINS; TEMPORAL INFORMATION; VIDEO QUALITY; VIDEO QUALITY ASSESSMENT; VIDEO QUALITY METRIC;

MOTION ESTIMATION; QUALITY CONTROL; VIDEO SIGNAL PROCESSING;

IMAGE QUALITY;

EID: 78349233464     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2010.5583094     Document Type: Conference Paper

References (15)

1. B. Girod, "What's wrong with mean-squared error?," Digital Images and Human Vision, A. B. Watson, Ed. Cambridge, MA: MIT Press, pp. 207-220, 1993.
2. Z. Wang and A. Bovik, "Mean Squared Error: Love It or Leave It?," IEEE Signal Processing Magazine, pp. 98-117, Jan. 2009.
3. M. A. Masry and S. S. Hemami, "A metric for continuous quality evaluation of compressed video with severe distortions," Signal Processing: Image Communication, vol. 19, no. 2, pp. 133-146, Feb. 2004.
4. A. B. Watson, J. Hu, and J. F. McGowan III, "Digital video quality metric based on human vision," SPIE Journal of Electronic Imaging, vol. 10, no. 1, pp. 20-29, Jan. 2001.
5. S. Winkler, "Digital Video Quality: Vision Models and Metrics." New York: Wiley, 2005.
6. Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. on Image Processing, vol. 13, no. 4, pp. 600-612, Apr. 2004.
7. Z. Wang, L. Lu, A. C. Bovik, "Video quality assessment using structural distortion measurement," Signal Processing: Image Communication, vol. 19, no. 2, pp. 121-132, Feb. 2004.
8. VQEG, "Final report from the video quality experts group on the validation of objective models of video quality assessment, phase I," Mar. 2000. [Online]. Available: http://www.its.bldrdoc.gov/vqeg/projects/frtv-phaseI.
9. 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. Vis., vol. 24, no. 12, pp. B61- B69, Dec. 2007.
10. A. A. Stocker and E. P. Simoncelli, "Noise characteristics and prior expectations in human visual speed perception." Nat. Neurosci., vol. 9, no. 4, pp. 578-585, Apr. 2006.
11. VQEG FRTV Phase I Database, 2000. [Online]. Available: ftp://ftp.crc.ca/crc/vqeg/TestSequences/.
12. M. H. Pinson and S. Wolf, "A new standardized method for objectively measuring video quality," IEEE Trans. on Broadcasting, vol. 50, no. 3, pp. 312-322, Sep. 2004.
13. Z. Wang, E. Simoncelli, and A. Bovik, "Multiscale structural similarity for image quality assessment," in IEEE Asilomar Conference on Signals, Systems and Computers, 2003.
14. LIVE Video Quality Database, 2009. [Online]. Available: http://live.ece.utexas.edu/research/quality/live-video.html.
15. VQEG, "Final report from the video quality experts group on the validation of objective models of video quality assessment, phase II," Aug. 2003. [Online]. Available: http://www.its.bldrdoc.gov/vqeg/projects/frtv- phaseII.