Abstract
In this paper, a simple mathematical formula is proposed which provides estimation for the perceived video quality, based solely in the codec used, the display format, the bit rate and the movement content in the original video. The quality metric used is one of the recently standardized in Recommendations ITU-T J.144 and ITU-R BT.1683, and developed by NTIA. The error obtained with the proposed formula, regarding to the ITU models, is between the ITU algorithms error margins, according to the subjective tests developed by the VQEG. Studies were made for more than 1500 processed video clips, coded in MPEG-2 and H.264/AVC, in bit rate ranges from 50 kb/s to 12 Mb/s, in SD, VGA, CIF and QCIF display formats.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
ISO/IEC 13818-2:2000. Information technology – generic coding of moving pictures and associated audio information: Video
ITU-T H.264 Advanced Video Coding for Generic Audiovisual Services (March 2005 )
Wiegand, T., Sullivan, G.J., Bjontegaard, G., Luthra, A.: Overview of the H.264 / AVC Video Coding Standard. IEEE Transactions on Circuits and Systems For Video Technology 13 (July 2003)
Basso, A., Dalgic, I., Tobagi, F.A., van den Branden Lambrecht, C.J.: Study of MPEG-2 Coding Performance Based on a Perceptual Quality Metric. In: Proc. Picture Coding Symp., Melbourne, Australia, Melbourne, Australia (March 1996)
Kamaci, N., Altunbasak, Y.: Performance comparison of the emerging H.264 video coding standard with the existing standards. In: Proceedings ICME 2003, vol. 1, pp. I- 345–348 (2003)
Ostermann, J., Bormans, J., List, P., Marpe, D., Narroschke, M., Pereira, F., Stockhammer, T., Wedi, T.: Video coding with H.264/AVC: Tools, Performance, and Complexity. IEEE Circuits and Systems Magazine, First Quarter (2004)
Aeluri, P.K., Bojan, V., Richie, S., Weeks, A.: Objective quality analysis of MPEG-1, MPEG-2 & Windows Media video. In: 6th IEEE Southwest Symposium on Image Analysis and Interpretation, March 2004, pp. 221–225 (2004)
Ichigaya, A., Nishida, Y., Nakasu, E.: Nonreference Method for Estimating PSNR of MPEG-2 Coded Video by Using DCT Coefficients and Picture Energy. IEEE Transactions on Circuits and Systems for Video Technology 18(6), 817–826 (2008)
Wang, S., Zheng, D., Zhao, J., Tarn, W.J., Speranza, F.: Video quality measurement using digital watermarking. In: Proceedings of the 3rd IEEE International Workshop on Haptic, Audio and Visual Environments and Their Applications, 2004. HAVE 2004, October 2, pp. 183–188 (2004)
Winkler, S.: Digital Video Quality, Vision Models and Metrics. John Wiley & Sons Ltd., Chichester (2005)
Recommendation ITU-T J.144 Objective perceptual video quality measurement techniques for digital cable television in the presence of a full reference (February 2004)
Recommendation ITU-R BT.1683 – Objective perceptual video quality measurement techniques for standard definition digital broadcast television in the presence of a full reference (January 2004)
Final Report of VQEG’s Multimedia Phase I Validation Test September 19 (2008)
Pinson, M.H., Wolf, S.: A New Standardized Method for Objectively Measuring Video Quality. IEEE Transactions on Broadcasting 50(3), 312–322 (2004)
Li, Z.G., et al.: Adaptive rate control for H.264. Journal of Visual Communication and Image Representation 17(2), 376–406 (2006)
Jiang, M., Ling, N.: On enhancing H.264/AVC video rate control by PSNR-based frame complexity estimation. IEEE Transactions on Consumer Electronics 51(1), 281–286 (2005)
Final Report From The Video Quality Experts Group On The Validation Of Objective Models Of Video Quality Assessment, Phase Ii ©2003 VQEG, August 25 (2003)
Cho, S., Choe, J., Jeong, T., Ahn, W., Lee, E.: Objective video quality assessment. Optical Engineering 45(1) (January 2006)
Lotufo, A., Da Silva, R., Falcao, W.D.F., Pessoa, A.X.: Morphological image segmentation applied to video quality assessment. In: IEEE Proceedings in Computer Graphics, Image Processing and Vision, SIGGRAPI Proceedings, October 1998, pp. 468–475 (1998)
Recommendation ITU-R BT.500-11, Methodology for the subjective assessment of the quality of television pictures, 06/2002
VQEG Phase I Test Sequences, ftp://vqeg.its.bldrdoc.gov/SDTV/VQEG_PhaseI/TestSequences/Reference/
Video Quality Metric (VQM), http://www.its.bldrdoc.gov/n3/video/vqmsoftware.htm
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Joskowicz, J., López-Ardao, JC., González Ortega, M.A., García, C.L. (2009). A Mathematical Model for Evaluating the Perceptual Quality of Video. In: Mauthe, A., Zeadally, S., Cerqueira, E., Curado, M. (eds) Future Multimedia Networking. FMN 2009. Lecture Notes in Computer Science, vol 5630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02472-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-02472-6_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02471-9
Online ISBN: 978-3-642-02472-6
eBook Packages: Computer ScienceComputer Science (R0)