Study of No-Reference Video Quality Metrics for HEVC Compression

• Autorzy: Rouis K. , Leszczuk M. , Janowski M. , Papir Z. , Tahar J. B. H.
• Języki publikacji: EN

Abstrakty

EN

The paper proposes a No-Reference (NR) quality assessment measurement originally developed for H.264, used for High Efficiency Video Coding (HEVC). In particular, authors present an investigation of NR metrics to objectively estimate the perceptual quality of a set of processed video sequences. The authors take into account typical distortions introduced by the block-based coding approaches like HEVC codec. The underlying processing used for the quality assessment considers the blockiness caused by the boundaries of each coded block and the blurring as a lack of spatial details. The correlation between the NR quality metrics and the well-known and most widely used objective metric, the Video Quality Model (VQM), is performed to validate the quality prediction accuracy based on the provided scores. The Pearson correlation coefficients obtained stand for promising results for different types of videos.

Słowa kluczowe

EN

high efficiency video coding; HEVC; no-reference metrics; quality of experience; QoE; video quality assessment

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2016
• Tom: nr 1
• Strony: 22--28
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Rouis K.

• Innov'COM Lab, Sup'Com, University of Carthage
• Ecole Nationale d'Ingénieurs de Tunis, Université de Tunis El Manar, Tunisia

autor

Leszczuk M.

• AGH University of Science and Technology, Department of Telecommunications, Mickiewicza av. 30, 30-059 Krakow, Poland

autor

Janowski M.

• AGH University of Science and Technology, Department of Telecommunications, Mickiewicza av. 30, 30-059 Krakow, Poland

autor

Papir Z.

• AGH University of Science and Technology, Department of Telecommunications, Mickiewicza av. 30, 30-059 Krakow, Poland

autor

Tahar J. B. H.

• Innov'COM Lab, Sup'Com, University of Carthage
• Ecole Nationale d'Ingénieurs de Tunis, Université de Tunis El Manar, Tunisia

Bibliografia

• [1] M. Leszczuk, M. Hanusiak, M. Farias, E. Wyckens, and G. Heston, „Recent developments in visual quality monitoring by key performance indicators", Multimed. Tools & Appl., pp. 1-23, 2014 [Online]. Available: http://dx.doi.org/10.1007/s11042-014-2229-2
• [2] G. Sullivan, J. Ohm, W. J. Han, and T. Wiegand, „Overview of the high effciency video coding (HEVC) standard", IEEE Trans. Circ. Syst. Video Technol., vol. 22, no. 12, pp. 1649-1668, 2012.
• [3] ITU-T Recommendation H.265, „High e_ciency video coding", 2015 [Online]. Available: http://www.itu.int/rec/T-REC-H.265
• [4] M. Leszczuk, M. Hanusiak, I. Blanco, A. Dziech, J. Derkacz, E. Wyckens, and S. Borer, „Key indicators for monitoring of audiovisual quality", in Proc. 22nd Sig. Process. Commun. Appl. Conf. SIU 2014, Trabzon, Turkey, 2014, pp. 2301-2305.
• [5] ITU-T Recommendation P.930, „Principles of a reference impairment system for video", 1996 [Online]. Available: http://www.itu.int/rec/T-REC-P.930-199608-I
• [6] ITU-T Recommendation J.144, „Objective perceptual video quality measurement techniques for digital cable television in the presence of a full reference", 2004 [Online]. Available: http://www.itu.int/rec/T-REC-J.144-200403-I
• [7] ITU-T Recommendation J.247, „Objective perceptual multimedia video quality measurement in the presence of a full reference", 2008 [Online]. Available: http://www.itu.int/rec/T-REC-J.247-200808-I
• [8] ITU-T Recommendation J.246, „Perceptual visual quality measurement techniques for multimedia services over digital cable television networks in the presence of a reduced bandwidth reference", 2008 [Online]. Available: http://www.itu.int/rec/T-REC-J.246-200808-I
• [9] ITU-T Recommendation J.249, „Perceptual video quality measurement techniques for digital cable television in the presence of a reduced reference", 2010 [Online]. Available: http://www.itu.int/rec/T-REC-J.249-201001-I
• [10] ITU-T Recommendation J.341, „Objective perceptual multimedia video quality measurement of HDTV for digital cable television in the presence of a full reference", 2011 [Online]. Available: http://www.itu.int/rec/T-REC-J.341-201101-I
• [11] ITU-T Recommendation J.342, „Objective multimedia video quality measurement of HDTV for digital cable television in the presence of a reduced reference signal", 2011 [Online]. Available: http://www.itu.int/rec/T-REC-J.342-201104-I
• [12] ITU-T Recommendation P.1202, „Parametric non-intrusive bitstream assessment of video media streaming quality", 2013 [Online]. Available: http://www.itu.int/rec/T-REC-P.1202
• [13] ITU-T Recommendation J.343, „Hybrid perceptual bitstream models for objective video quality measurements", 2014 [Online]. Available: http://www.itu.int/rec/T-REC-J.343
• [14] J. Gustafsson, G. Heikkila, and M. Pettersson, „Measuring multimedia quality in mobile networks with an objective parametric model" in Proc. 15th IEEE Int. Conf. Image Process. ICIP 2008, San Diego, CA, USA, 2008, pp. 405-408.
• [15] A. Takahashi, K. Yamagishi, and G. Kawaguti, „Global standardization activities recent activities of QoS/QoE standardization in ITU-T SG12", NTT Tech. Rev., vol. 6, no. 9, pp. 1|5, 2008.
• [16] M. Aabed et al., „No-reference quality assessment of hevc videos in loss-prone networks", in Proc. IEEE Int. Conf. Acoust., Speech Sig. Process. ICASSP 2014, Florence, Italy, 2014, pp. 2015-2019.
• [17] M. Shahid, J. Panasiuk, G. Van Wallendael, M. Barkowsky, and B. Lövström, „Predicting full-reference video quality measures using hevc bitstream-based no-reference features", in Proc. 7th Int. Worksh. Quality of Multimed. Exper. QoMEX 2015, Costa Navarino, Messinia, Greece, 2015.
• [18] N. Staelens, S. Moens, W. Van den Broeck, I. Marien, B. Vermeulen, P. Lambert, R. Van de Walle, and P. Demeester, „Assessing quality of experience of IPTV and video on demand services in real-life environments", IEEE Trans. Broadcast., vol. 56, no. 4, pp. 458-466, 2010.
• [19] B. Lee and M. G. Kim, „No-reference psnr estimation for hevc encoded video", IEEE Trans. Broadcast., vol. 59, no. 1, pp. 20-27, 2013.
• [20] L. Janowski, P. Kozłowski, R. Baran, P. Romaniak, A. Głowacz, and T. Rusc, „Quality assessment for a visual and automatic license plate recognition", Multimed. Tools & Appl., vol. 68, no. 1, pp. 23-40, 2014.
• [21] G. Van Wallendael, N. Staelens, E. Masala, and M. Barkowsky, Full-HD HEVC-encoded video quality assessment database", in Proc. 9th Int. Worksh. Video Process. Quality Metrics VPQM 2015, Chandler, AZ, USA, 2015.
• [22] M. Mu, P. Romaniak, A. Mauthe, M. Leszczuk, L. Janowski, and E. Cerqueira, „Framework for the integrated video quality assessment", Multimed. Tools & Appl., vol. 61, no. 3, pp. 787-817, 2012.
• [23] E. Cerqueira, L. Janowski, M. Leszczuk, Z. Papir, and P. Romaniak, „Video artifacts assessment for live mobile streaming applications", in Future Multimedia Networking, A. Mauthe, S. Zeadally, E. Cerqueira, M. Curado, Eds. LNCS 5630, pp. 242-247. Springer, 2009.
• [24] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, „Image quality assessment: from error visibility to structural similarity", IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, 2004.
• [25] M. H. Pinson and S. Wolf, „A new standardized method for objectively measuring video quality", IEEE Trans. Broadcast., vol. 50, no. 3, pp. 312-322, 2004.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.