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Evaluation of full-reference objective video quality metrics on high efficiency video coding

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HPC-UGent: the central High Performance Computing infrastructure of Ghent University
Abstract
For the purpose of automatic video quality evaluation, Peak Signal-to-Noise Ratio (PSNR) has been the most well-known full reference quality metric since a long time. Improving on PSNR, several other pixel-based quality metrics have been developed, namely Structural SIMilarity (SSIM), Multi Scale-SSIM (MS-SSIM), and Video Quality Metric (VQM). The goal of these objective video quality metrics is to replace time-consuming and expensive subjective quality assessment experiments. These alternative objective metrics have already been evaluated on several video compression schemes, such as MPEG-2 and H. 264/AVC, transported over different kinds of network protocols and under a large variation of network characteristics. In January 2013, the successor of the Advanced Video Coding (H. 264/AVC) standard, named High Efficiency Video Coding (HEVC), has been finalized. Although HEVC is still a block based hybrid video compression standard, some radical changes are made to subjectively improve the compression efficiency compared to H. 264/AVC. Until now, the alternative quality metrics have never been evaluated on this new compression scheme. Therefore, in this paper, we analyze the difference in performance of these full reference metrics. Based on subjective evaluations, a performance analysis is presented which shows the validity of these models when applied to HEVC compressed video content. I. INTRODUCTION
Keywords
IBCN, STANDARD, Video Coding, HEVC

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MLA
Van Wallendael, Glenn et al. “Evaluation of Full-reference Objective Video Quality Metrics on High Efficiency Video Coding.” 2013 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2013). Ed. F DeTurck et al. IEEE, 2013. 1294–1299. Print.
APA
Van Wallendael, G., Staelens, N., Van Leuven, S., De Cock, J., Lambert, P., Demeester, P., & Van de Walle, R. (2013). Evaluation of full-reference objective video quality metrics on high efficiency video coding. In F. DeTurck, Y. Diao, C. Hong, D. Medhi, & R. Sadre (Eds.), 2013 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2013) (pp. 1294–1299). Presented at the 13th IFIP/IEEE International Symposium on Integrated Network Management (IM), IEEE.
Chicago author-date
Van Wallendael, Glenn, Nicolas Staelens, Sebastiaan Van Leuven, Jan De Cock, Peter Lambert, Piet Demeester, and Rik Van de Walle. 2013. “Evaluation of Full-reference Objective Video Quality Metrics on High Efficiency Video Coding.” In 2013 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2013), ed. F DeTurck, Y Diao, CS Hong, D Medhi, and R Sadre, 1294–1299. IEEE.
Chicago author-date (all authors)
Van Wallendael, Glenn, Nicolas Staelens, Sebastiaan Van Leuven, Jan De Cock, Peter Lambert, Piet Demeester, and Rik Van de Walle. 2013. “Evaluation of Full-reference Objective Video Quality Metrics on High Efficiency Video Coding.” In 2013 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2013), ed. F DeTurck, Y Diao, CS Hong, D Medhi, and R Sadre, 1294–1299. IEEE.
Vancouver
1.
Van Wallendael G, Staelens N, Van Leuven S, De Cock J, Lambert P, Demeester P, et al. Evaluation of full-reference objective video quality metrics on high efficiency video coding. In: DeTurck F, Diao Y, Hong C, Medhi D, Sadre R, editors. 2013 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2013). IEEE; 2013. p. 1294–9.
IEEE
[1]
G. Van Wallendael et al., “Evaluation of full-reference objective video quality metrics on high efficiency video coding,” in 2013 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2013), Ghent, Belgium, 2013, pp. 1294–1299.
@inproceedings{3253936,
  abstract     = {For the purpose of automatic video quality evaluation, Peak Signal-to-Noise Ratio (PSNR) has been the most well-known full reference quality metric since a long time. Improving on PSNR, several other pixel-based quality metrics have been developed, namely Structural SIMilarity (SSIM), Multi Scale-SSIM (MS-SSIM), and Video Quality Metric (VQM). The goal of these objective video quality metrics is to replace time-consuming and expensive subjective quality assessment experiments. These alternative objective metrics have already been evaluated on several video compression schemes, such as MPEG-2 and H. 264/AVC, transported over different kinds of network protocols and under a large variation of network characteristics. In January 2013, the successor of the Advanced Video Coding (H. 264/AVC) standard, named High Efficiency Video Coding (HEVC), has been finalized. Although HEVC is still a block based hybrid video compression standard, some radical changes are made to subjectively improve the compression efficiency compared to H. 264/AVC. Until now, the alternative quality metrics have never been evaluated on this new compression scheme. Therefore, in this paper, we analyze the difference in performance of these full reference metrics. Based on subjective evaluations, a performance analysis is presented which shows the validity of these models when applied to HEVC compressed video content. I. INTRODUCTION},
  author       = {Van Wallendael, Glenn and Staelens, Nicolas and Van Leuven, Sebastiaan and De Cock, Jan and Lambert, Peter and Demeester, Piet and Van de Walle, Rik},
  booktitle    = {2013 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2013)},
  editor       = {DeTurck, F and Diao, Y and Hong, CS and Medhi, D and Sadre, R},
  isbn         = {9783901882517},
  keywords     = {IBCN,STANDARD,Video Coding,HEVC},
  language     = {eng},
  location     = {Ghent, Belgium},
  pages        = {1294--1299},
  publisher    = {IEEE},
  title        = {Evaluation of full-reference objective video quality metrics on high efficiency video coding},
  year         = {2013},
}

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