Objective No-Reference Video Quality Assessment Method Based on Spatio-Temporal Pixel Analysis
Author:
Affiliation:
1. Center of Mobility Engineering (CEM), Federal University of Santa Catarina (UFSC)
2. Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology - Paraná (UTFPR)
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E98.D/7/E98.D_2014EDP7155/_pdf
Reference39 articles.
1. [1] H.R. Wu, K.R. Rao, and A.A. Kassim, “Digital video image quality and perceptual coding,” J. Electronic Imaging, vol.16, no.3, 2007.
2. [2] F. Yang, S. Wan, Y. Chang, and H.R. Wu, “A novel objective no-reference metric for digital video quality assessment,” IEEE Signal Process. Lett., vol.12, no.10, pp.685-688, 2005.
3. [3] F. Yang, S. Wan, Q. Xie, and H.R. Wu, “No-reference quality assessment for networked video via primary analysis of bit stream,” IEEE Trans. Circuits Syst. for Video Technology, vol.20, no.11, pp.1544-1554, Nov. 2010.
4. [4] T. Brandão and M.P. Queluz, “No-reference quality assessment of H.264/AVC encoded video,” IEEE Trans. Circuits Syst. Video Technol., vol.20, no.11, pp.1437-1447, Nov. 2010.
5. [5] G. Valenzise, S. Magni, M. Tagliasacchi, and S. Tubaro, “No-reference pixel video quality monitoring of channel-induced distortion,” IEEE Trans. Circuits Syst. for Video Technology, vol.22, no.4, pp.605-618, April 2012.
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