[1] Richardson, I.E.G. (2003) H.264 and MPEG-4 Video Compression. Chichester, England: Wiley & Sons Ltd.
[2] Sullivan, G., Ohm, J., Woo-Jin, H., and Wiegand, T., “Overview of the High Efficiency Video Coding (HEVC) standard,” IEEE Trans.
Circuits and Systems for Video Technology 22(12), 1649–1668 (2012).
[3] B. M. Zavodsky, “Time-variant video quality evaluation for mobile networks,” Phd Thesis, Fakulta elektrotechniky a informatiky
Katedra rdioelektroniky, Slovensk technick univerzita v Bratislave, 2006.
[4] Yuen, M. and Wu, H., “A survey of hybrid MC/DPCM/DCT video coding distortions,” Signal Processing 70 (3), 247–278 (1998).
[5] WeisiLin, C. Jay Kuo, “Perceptual visual quality metrics: A survey”, Journal of Visual
Communication and Image Representation, volume 22, Issue 4, May 2011, pages 297-312.
[6] Muhammad Shahid, Andreas Rossholm, Benny Lövström, and Hans Zepernick, “Noreference image and video quality
assessment : a classification and review of recent approaches”, EURASIP Journal on Image and Video Processing, 2014, pages 397-437.
[7] Andreas Unterweger, “Compression artifacts in modern video coding and state of the art means of compensation”, University of Salzburg, Austria, 2012.
[8] Chodisetti Rakesh Anil, “H.264 video coding artifacts; Measurement and reduction of flickering ,” Master thesis, Department of Electrical Engineering, Blekinge Institute of Technology, 2013.
[9] K. Zeng, T. Zhao, A. Rehman, and Z. Wang, “Characterizing perceptual artifacts in compressed video streams,
” IS&T/SPIE Human Vision and Electronic Imaging, vol. 9014, no. 10, pp. 2458–2462, Feb. 2014.
[10] Liqun Lin, Shiqi Yu, Tiesong Zhao, Member,” PEA265: Perceptual Assessment of Video Compression Artifacts”, Computer Vision and Pattern Recognition; Image and Video Processing, 1601–1612 (2019).
[11] Zeng, K., Rehman, A., Wang, J., and Wang, Z., “From H.264 to HEVC: Coding gain predicted by objective video quality assessment models,” in International Workshop on Video Processing and Quality Metrics for Consumer Electronics, Feb 2013.
[12] Hanwha Techwin, “White Paper: H.265 High Efficiency Coding Video Compression for Security Applications”, Ridgefield Park, NJ, USA, 2016
[13] K. Zhu, C. Li, V. Asari, and D. Saupe, “No-reference video quality assessment based on artifact measurement and statistical analysis,” IEEE Trans. Circuits Syst. Video Technol., vol. 25, no. 4, pp. 533–546, April, 2015.
[14] S. Yoo, K. Choi, and J. Ra, “Blind post-processing for ringing and mosquito artifact reduction in coded videos,” IEEE Trans. Circuits Syst. Video Technol., vol. 24, no. 5, pp. 721–732, May 2014.
[15] H Liu, N Klomp, I Heynderickx, “A no-reference metric for perceived ringing artifacts in images”, IEEE Trans. Circuits Syst. video technol. volume 4, issue 20, pages 529–539, October, 2010.
[16] N. Suresh, “Mean time between visible artifacts in visual communications,” Phd Thesis, Department of Electrical and Computer Engineering, Georgia tech. University, 2007.
[17] C. Dong, Y. Deng, C. Chang, and X. Tang, “Compression artifacts reduction by a deep convolution network,” in Proc. IEEE International Conference on Computer Vision (ICCV), Feb. 2016, pp. 576–584.
[18] J. Xia, Y. Shi, K. Teunissen, and I. Heynderickx, “Perceivable artifacts in compressed video and their relation to video quality,” Signal Process Image., vol. 24, no. 7, pp. 548– 556, Aug. 2009.
[19] M. Rohil, N. Gupta, P. Yadav, “An improved model for no-reference image quality assessment and a no-reference video quality assessment model based on frame analysis”, Signal, Image and Video Processing, vol 6, no.7, pp. 610-619, July 2019.
[20] J. Liu , D. Liu, W. Yang , S. Xia , X. Zhang , and Y. Dai,” A Comprehensive Benchmark for Single Image Compression Artifact Reduction”, IEEE Transactions on image processing, vol. 29, pp. 225-241, 2020
[21] K. Yang ; S. Wan ; Y. Gong ; Y. Yang ; Y. Feng, “Temporal Distortions in H.265/HEVC”, Asia-Pacific Signal and Information Processing Association Annual
Summit and Conference (APSIPA), Jeju, South Korea, 13-16 Dec. 2016.
[22] Y. C. Gong, S. Wan, K. Yang, F. Z. Yang, and L. Cui, “An efficient algorithm to eliminate temporal pumping artifact in video coding with hierarchical prediction structure,” J. visual communication, vol. 25, no. 7, pp. 1528–1542, Oct. 2014.
[23] Y. Yang, J. Xiang. and H. Wau., “Robust filtering technique for reduction of temporal fluctuation in H.264 video sequences,” IEEE Trans. Circuits and Systems for Video Technology 20(3), 458–462, Nov, 2010.
[24] J. Lee, J. Park, H. Wang, “A New Distortion Measure for Motion Estimation in Motion- Compensated Hybrid Video Coding. Signal Processing”, Image Communication, vol. 2, no. 6, pp. 75–84, 2011.
[25] P. V. Pahalawatta and A. M. Tourapis, “Motion estimated temporal consistency metrics for objective video quality assessment,” in Quality of Multimedia Experience, International Workshop on, pp. 174–179, 2009.
[26] S. Wan, Y. Gong, and F. Yang, “Perception of Temporal Pumping Artifact in Video Coding with the Hierarchical Prediction Structure,” in Proc. IEEE Int. Conf. Multimedia and Expo, pp. 503-508, Jul. 2012.
[27] Y. Gong, S. Wan, K. Yang, B. Li, and H. Wu, “Perception based Quantitative Definition of Temporal Pumping Artifact”, in Proc. of the 19th Int. Conf. on Digital Signal Processing, pp.870-875, August 2014.
[28] Y. Qi and M. Dai , “The Effect of Frame freezing and Frame skipping on video quality”, Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Jakarta, Indonesia, 13-16 April, 2006.
[29] Z. Akhtar and T. Falk, “Audio-Visual Multimedia Quality Assessment: A Comprehensive Survey”, IEEE access, vol. 11, no. 7, pp. 412-440, July, 2017
[30] G. Vetro, A. Wiegand, T. Sullivan, “Overview of the Stereo and Multiview Video Coding Extensions of the H.264/AVC Standard”. Proceedings of IEEE, Special Issue on 3D Media and Displays, vol. 99, no. 4, pp. 626–642, 2011.
[31] P. Merkle, Y. Smolic, P. Wiegand, “The effects of multiview depth video compression on multiview rendering”, Signal Processing: Image Communication, vol. 24, no. 1, pp. 73– 88, 2008.
[32] H. Boujut, B. Pineau, J. Hadar, O. Ahmed, “Weighted-MSE based on saliency map for assessing video quality of H.264 video streams”, Proceedings of the SPIE “Image Quality and System Performance VIII”, vol. 7, no. 6, pp. 686–696. 2011.
[33] R. Farrugia, A. Debono,”A Hybrid Error Control and Artifact Detection Mechanism for Robust Decoding of H.264/AVC Video Sequences”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 5, pp. 756–762, 2010.