IEICE TRANSACTIONS on Fundamentals
Reduced-Reference Objective Quality Assessment Model of Coded Video Sequences Based on the MPEG-7 Descriptor
Summary :
Our research is focused on examining the video quality assessment model based on the MPEG-7 descriptor. Video quality is estimated by using several features based on the predicted frame quality such as average value, worst value, best value, standard deviation, and the predicted frame rate obtained from descriptor information. As a result, assessment of video quality can be conducted with a high prediction accuracy with correlation coefficient=0.94, standard deviation of error=0.24, maximum error=0.68 and outlier ratio=0.23.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.8 pp.1259-1263
- Publication Date
- 2012/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E95.A.1259
- Type of Manuscript
- Special Section LETTER (Special Section on Image Media Quality)
- Category
- Quality Metrics
Authors
Keyword
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Masaharu SATO, Yuukou HORITA, "Reduced-Reference Objective Quality Assessment Model of Coded Video Sequences Based on the MPEG-7 Descriptor" in IEICE TRANSACTIONS on Fundamentals,
vol. E95-A, no. 8, pp. 1259-1263, August 2012, doi: 10.1587/transfun.E95.A.1259.
Abstract: Our research is focused on examining the video quality assessment model based on the MPEG-7 descriptor. Video quality is estimated by using several features based on the predicted frame quality such as average value, worst value, best value, standard deviation, and the predicted frame rate obtained from descriptor information. As a result, assessment of video quality can be conducted with a high prediction accuracy with correlation coefficient=0.94, standard deviation of error=0.24, maximum error=0.68 and outlier ratio=0.23.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.1259/_p
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@ARTICLE{e95-a_8_1259,
author={Masaharu SATO, Yuukou HORITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Reduced-Reference Objective Quality Assessment Model of Coded Video Sequences Based on the MPEG-7 Descriptor},
year={2012},
volume={E95-A},
number={8},
pages={1259-1263},
abstract={Our research is focused on examining the video quality assessment model based on the MPEG-7 descriptor. Video quality is estimated by using several features based on the predicted frame quality such as average value, worst value, best value, standard deviation, and the predicted frame rate obtained from descriptor information. As a result, assessment of video quality can be conducted with a high prediction accuracy with correlation coefficient=0.94, standard deviation of error=0.24, maximum error=0.68 and outlier ratio=0.23.},
keywords={},
doi={10.1587/transfun.E95.A.1259},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Reduced-Reference Objective Quality Assessment Model of Coded Video Sequences Based on the MPEG-7 Descriptor
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1259
EP - 1263
AU - Masaharu SATO
AU - Yuukou HORITA
PY - 2012
DO - 10.1587/transfun.E95.A.1259
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2012
AB - Our research is focused on examining the video quality assessment model based on the MPEG-7 descriptor. Video quality is estimated by using several features based on the predicted frame quality such as average value, worst value, best value, standard deviation, and the predicted frame rate obtained from descriptor information. As a result, assessment of video quality can be conducted with a high prediction accuracy with correlation coefficient=0.94, standard deviation of error=0.24, maximum error=0.68 and outlier ratio=0.23.
ER -
English
