In this paper, we propose a novel method of measuring the perceived picture quality of H.264 coded video based on parametric analysis of the coded bitstream. The parametric analysis means that the proposed method utilizes only bitstream parameters to evaluate video quality, while it does not have any access to the baseband signal (pixel level information) of the decoded video. The proposed method extracts quantiser-scale, macro block type and transform coefficients from each macroblock. These parameters are used to calculate spatiotemporal image features to reflect the perception of coding artifacts which have a strong relation to the subjective quality. A computer simulation shows that the proposed method can estimate the subjective quality at a correlation coefficient of 0.923 whereas the PSNR metric, which is referred to as a benchmark, correlates the subjective quality at a correlation coefficient of 0.793.
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Osamu SUGIMOTO, Sei NAITO, Yoshinori HATORI, "A No Reference Metric of Video Coding Quality Based on Parametric Analysis of Video Bitstream" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 8, pp. 1247-1255, August 2012, doi: 10.1587/transfun.E95.A.1247.
Abstract: In this paper, we propose a novel method of measuring the perceived picture quality of H.264 coded video based on parametric analysis of the coded bitstream. The parametric analysis means that the proposed method utilizes only bitstream parameters to evaluate video quality, while it does not have any access to the baseband signal (pixel level information) of the decoded video. The proposed method extracts quantiser-scale, macro block type and transform coefficients from each macroblock. These parameters are used to calculate spatiotemporal image features to reflect the perception of coding artifacts which have a strong relation to the subjective quality. A computer simulation shows that the proposed method can estimate the subjective quality at a correlation coefficient of 0.923 whereas the PSNR metric, which is referred to as a benchmark, correlates the subjective quality at a correlation coefficient of 0.793.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.1247/_p
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@ARTICLE{e95-a_8_1247,
author={Osamu SUGIMOTO, Sei NAITO, Yoshinori HATORI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A No Reference Metric of Video Coding Quality Based on Parametric Analysis of Video Bitstream},
year={2012},
volume={E95-A},
number={8},
pages={1247-1255},
abstract={In this paper, we propose a novel method of measuring the perceived picture quality of H.264 coded video based on parametric analysis of the coded bitstream. The parametric analysis means that the proposed method utilizes only bitstream parameters to evaluate video quality, while it does not have any access to the baseband signal (pixel level information) of the decoded video. The proposed method extracts quantiser-scale, macro block type and transform coefficients from each macroblock. These parameters are used to calculate spatiotemporal image features to reflect the perception of coding artifacts which have a strong relation to the subjective quality. A computer simulation shows that the proposed method can estimate the subjective quality at a correlation coefficient of 0.923 whereas the PSNR metric, which is referred to as a benchmark, correlates the subjective quality at a correlation coefficient of 0.793.},
keywords={},
doi={10.1587/transfun.E95.A.1247},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - A No Reference Metric of Video Coding Quality Based on Parametric Analysis of Video Bitstream
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1247
EP - 1255
AU - Osamu SUGIMOTO
AU - Sei NAITO
AU - Yoshinori HATORI
PY - 2012
DO - 10.1587/transfun.E95.A.1247
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2012
AB - In this paper, we propose a novel method of measuring the perceived picture quality of H.264 coded video based on parametric analysis of the coded bitstream. The parametric analysis means that the proposed method utilizes only bitstream parameters to evaluate video quality, while it does not have any access to the baseband signal (pixel level information) of the decoded video. The proposed method extracts quantiser-scale, macro block type and transform coefficients from each macroblock. These parameters are used to calculate spatiotemporal image features to reflect the perception of coding artifacts which have a strong relation to the subjective quality. A computer simulation shows that the proposed method can estimate the subjective quality at a correlation coefficient of 0.923 whereas the PSNR metric, which is referred to as a benchmark, correlates the subjective quality at a correlation coefficient of 0.793.
ER -