IEICE TRANSACTIONS on Fundamentals
No-Reference Quality Estimation for Compressed Videos Based on Inter-Frame Activity Difference
Summary :
This paper presents a no-reference (NR) based video-quality estimation method for compressed videos which apply inter-frame prediction. The proposed method does not need bitstream information. Only pixel information of decoded videos is used for the video-quality estimation. An activity value which indicates a variance of luminance values is calculated for every given-size pixel block. The activity difference between an intra-coded frame and its adjacent frame is calculated and is employed for the video-quality estimation. In addition, a blockiness level and a blur level are also estimated at every frame by analyzing pixel information only. The estimated blockiness level and blur level are also taken into account to improve quality-estimation accuracy in the proposed method. Experimental results show that the proposed method achieves accurate video-quality estimation without the original video which does not include any artifacts by the video compression. The correlation coefficient between subjective video quality and estimated quality is 0.925. The proposed method is suitable for automatic video-quality checks when service providers cannot access the original videos.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.8 pp.1240-1246
- Publication Date
- 2012/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.1240
- Type of Manuscript
- Special Section PAPER (Special Section on Image Media Quality)
- Category
- Quality Metrics
Authors
Keyword
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Toru YAMADA, Takao NISHITANI, "No-Reference Quality Estimation for Compressed Videos Based on Inter-Frame Activity Difference" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 8, pp. 1240-1246, August 2012, doi: 10.1587/transfun.E95.A.1240.
Abstract: This paper presents a no-reference (NR) based video-quality estimation method for compressed videos which apply inter-frame prediction. The proposed method does not need bitstream information. Only pixel information of decoded videos is used for the video-quality estimation. An activity value which indicates a variance of luminance values is calculated for every given-size pixel block. The activity difference between an intra-coded frame and its adjacent frame is calculated and is employed for the video-quality estimation. In addition, a blockiness level and a blur level are also estimated at every frame by analyzing pixel information only. The estimated blockiness level and blur level are also taken into account to improve quality-estimation accuracy in the proposed method. Experimental results show that the proposed method achieves accurate video-quality estimation without the original video which does not include any artifacts by the video compression. The correlation coefficient between subjective video quality and estimated quality is 0.925. The proposed method is suitable for automatic video-quality checks when service providers cannot access the original videos.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.1240/_p
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@ARTICLE{e95-a_8_1240,
author={Toru YAMADA, Takao NISHITANI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={No-Reference Quality Estimation for Compressed Videos Based on Inter-Frame Activity Difference},
year={2012},
volume={E95-A},
number={8},
pages={1240-1246},
abstract={This paper presents a no-reference (NR) based video-quality estimation method for compressed videos which apply inter-frame prediction. The proposed method does not need bitstream information. Only pixel information of decoded videos is used for the video-quality estimation. An activity value which indicates a variance of luminance values is calculated for every given-size pixel block. The activity difference between an intra-coded frame and its adjacent frame is calculated and is employed for the video-quality estimation. In addition, a blockiness level and a blur level are also estimated at every frame by analyzing pixel information only. The estimated blockiness level and blur level are also taken into account to improve quality-estimation accuracy in the proposed method. Experimental results show that the proposed method achieves accurate video-quality estimation without the original video which does not include any artifacts by the video compression. The correlation coefficient between subjective video quality and estimated quality is 0.925. The proposed method is suitable for automatic video-quality checks when service providers cannot access the original videos.},
keywords={},
doi={10.1587/transfun.E95.A.1240},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - No-Reference Quality Estimation for Compressed Videos Based on Inter-Frame Activity Difference
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1240
EP - 1246
AU - Toru YAMADA
AU - Takao NISHITANI
PY - 2012
DO - 10.1587/transfun.E95.A.1240
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2012
AB - This paper presents a no-reference (NR) based video-quality estimation method for compressed videos which apply inter-frame prediction. The proposed method does not need bitstream information. Only pixel information of decoded videos is used for the video-quality estimation. An activity value which indicates a variance of luminance values is calculated for every given-size pixel block. The activity difference between an intra-coded frame and its adjacent frame is calculated and is employed for the video-quality estimation. In addition, a blockiness level and a blur level are also estimated at every frame by analyzing pixel information only. The estimated blockiness level and blur level are also taken into account to improve quality-estimation accuracy in the proposed method. Experimental results show that the proposed method achieves accurate video-quality estimation without the original video which does not include any artifacts by the video compression. The correlation coefficient between subjective video quality and estimated quality is 0.925. The proposed method is suitable for automatic video-quality checks when service providers cannot access the original videos.
ER -
English
