روش یادگیری ماشین برای ارزیابی کیفیت ویدئو بدون مرجع برای منابع با کیفیت بسیار بالا
Subject Areas : journal of Artificial Intelligence in Electrical Engineeringناصر فرج زاده 1 , ملیحه مظلومی 2
1 -
2 -
Keywords:
Abstract :
1] Juan Pedro López Velasco (2012). Video Quality Assessment, Video Compression, Dr. Amal Punchihewa (Ed.), ISBN: 978-953-51- 0422-3, InTech.
[2] M. P. Eckert and A. P. Bradley, "Perceptual quality metrics applied to still image compression," Signal Processing, vol. 70, pp. 177-200, Nov. 1998
[3] A. M. Eskicioglu and P. S. Fisher, “Image quality measures and their performance,” IEEE Trans Communications, vol. 43, pp. 2959- 2965, Dec. 1995.
[4] ITU-R Recommendation BT.500-11, “Methodology for the subjective assessment of the quality of television pictures,” Geneva, 2002 (available at www.itu.org).
[5] Y. K. Lai and C.-C. J. Kuo, "A Haar wavelet approach to compressed image quality measurement," Journal of Visual Communication and Image Understanding, vol. 11, pp. 17-40, Mar. 2000.
[6] Z. Wang, A. C. Bovik and L. Lu, “Why is image quality assessment so difficult?” Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Proc., vol. 4, pp. 3313-3316, May 2002.
[7] J. Lubin, “A visual discrimination model for image system design and evaluation,” in Visual Models for Target Detection and Recognition, E. Peli, ed., pp. 207-220, Singapore: World Scientific Publisher, 1995.
[8] Zhou Wang, Hamid R. Sheikh and Alan C. Bovik, OBJECTIVE VIDEO QUALITY ASSESSMENT, Chapter 41 in The Handbook of Video Databases: Design and Applications, B. Furht and O. Marqure, ed., CRC Press, pp. 1041-1078, September 2003.
[9] Z. Wang, A. C. Bovik and B. L. Evans, “Blind measurement of blocking artifacts in images,” Proc. IEEE Int. Conf. Image Proc., vol. 3, pp. 981-984, Sept. 2000.
[10] P. Gastaldo, S. Rovetta and R. Zunino, “Objective assessment of MPEG-video quality: a neural-network approach,” in Proc. IJCNN, vol. 2, pp. 1432-1437, 2001.
[11] Kawayokeita, Y. ; Horita, Y., NR objective continuous video quality assessment model based on frame quality measure, Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on, Year: 2008, Page(s): 385 – 388.
[12] 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 Processing, vol. 4, pp. 636- 650, Apr. 2000.
[13] Sharifi, K. and Leon-Garcia, A. (1995). Estimation of shape parameter for generalized Gaussian distribution in subband decomposition of video. IEEE Trans. onCircuits and Systems for Video Technology, Vol 5, No. 1 Feb. 1995 pp. 52-56
[14] Choi, S. Cichocki, A. and Amari, S. (2000) Local stability analysis of flexible independent component analysis algorithm. Proceedings of 2000 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP2000, Istanbul, Turkey, June 5-9, 2000, pp. 3426-3429.
[15] Wu, H.-C. y Principe, J. (1998). Minimum entropy algorithm for source separation. Proceedings of the 1998 Mindwest symposium on Systems and Circuits.
[16] J. M. Shapiro, “Embedded image coding using zerotrees of wavelet co-efficient,” vol. 41, pp. 3445-3462, Dec. 1993.
[17] Drucker, Harris; Burges, Christopher J. C.; Kaufman, Linda; Smola, Alexander J.; and Vapnik, Vladimir N. (1997); "Support Vector Regression Machines", in Advances in Neural Information Processing Systems 9, NIPS 1996, 155–161, MIT Press.
[18] R. C. Gonzalez and R. E. Woods, Digital Image Processing (2nd Edition). Prentice Hall, 2002.