In heterogeneous network environments, it is mandatory to measure the grade of the video quality in order to guarantee the optimal quality of the video streaming service. Quality of Service (QoS) has become a key issue for service acceptability and user satisfaction. Although there have been many recent works regarding video quality, most of them have been limited to measuring quality within temporal and Signal-to-Noise Ratio (SNR) scalability. H.264/AVC Scalable Video Coding (SVC) has emerged and has been developed to support full scalability. This includes spatial, temporal, and SNR scalability, each of which shows different visual effects. The aim of this paper is to define and develop a novel video quality metric allowing full scalability. It focuses on the effect of frame rate, SNR, the change of spatial resolution, and motion characteristics using subjective quality assessment. Experimental results show the proposed quality metric has a high correlation to subjective quality and that it is useful in determining the video quality of SVC.
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Cheon Seog KIM, Sung Ho JIN, Dong Jun SEO, Yong Man RO, "Measuring Video Quality on Full Scalability of H.264/AVC Scalable Video Coding" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 5, pp. 1269-1278, May 2008, doi: 10.1093/ietcom/e91-b.5.1269.
Abstract: In heterogeneous network environments, it is mandatory to measure the grade of the video quality in order to guarantee the optimal quality of the video streaming service. Quality of Service (QoS) has become a key issue for service acceptability and user satisfaction. Although there have been many recent works regarding video quality, most of them have been limited to measuring quality within temporal and Signal-to-Noise Ratio (SNR) scalability. H.264/AVC Scalable Video Coding (SVC) has emerged and has been developed to support full scalability. This includes spatial, temporal, and SNR scalability, each of which shows different visual effects. The aim of this paper is to define and develop a novel video quality metric allowing full scalability. It focuses on the effect of frame rate, SNR, the change of spatial resolution, and motion characteristics using subjective quality assessment. Experimental results show the proposed quality metric has a high correlation to subjective quality and that it is useful in determining the video quality of SVC.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.5.1269/_p
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@ARTICLE{e91-b_5_1269,
author={Cheon Seog KIM, Sung Ho JIN, Dong Jun SEO, Yong Man RO, },
journal={IEICE TRANSACTIONS on Communications},
title={Measuring Video Quality on Full Scalability of H.264/AVC Scalable Video Coding},
year={2008},
volume={E91-B},
number={5},
pages={1269-1278},
abstract={In heterogeneous network environments, it is mandatory to measure the grade of the video quality in order to guarantee the optimal quality of the video streaming service. Quality of Service (QoS) has become a key issue for service acceptability and user satisfaction. Although there have been many recent works regarding video quality, most of them have been limited to measuring quality within temporal and Signal-to-Noise Ratio (SNR) scalability. H.264/AVC Scalable Video Coding (SVC) has emerged and has been developed to support full scalability. This includes spatial, temporal, and SNR scalability, each of which shows different visual effects. The aim of this paper is to define and develop a novel video quality metric allowing full scalability. It focuses on the effect of frame rate, SNR, the change of spatial resolution, and motion characteristics using subjective quality assessment. Experimental results show the proposed quality metric has a high correlation to subjective quality and that it is useful in determining the video quality of SVC.},
keywords={},
doi={10.1093/ietcom/e91-b.5.1269},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Measuring Video Quality on Full Scalability of H.264/AVC Scalable Video Coding
T2 - IEICE TRANSACTIONS on Communications
SP - 1269
EP - 1278
AU - Cheon Seog KIM
AU - Sung Ho JIN
AU - Dong Jun SEO
AU - Yong Man RO
PY - 2008
DO - 10.1093/ietcom/e91-b.5.1269
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2008
AB - In heterogeneous network environments, it is mandatory to measure the grade of the video quality in order to guarantee the optimal quality of the video streaming service. Quality of Service (QoS) has become a key issue for service acceptability and user satisfaction. Although there have been many recent works regarding video quality, most of them have been limited to measuring quality within temporal and Signal-to-Noise Ratio (SNR) scalability. H.264/AVC Scalable Video Coding (SVC) has emerged and has been developed to support full scalability. This includes spatial, temporal, and SNR scalability, each of which shows different visual effects. The aim of this paper is to define and develop a novel video quality metric allowing full scalability. It focuses on the effect of frame rate, SNR, the change of spatial resolution, and motion characteristics using subjective quality assessment. Experimental results show the proposed quality metric has a high correlation to subjective quality and that it is useful in determining the video quality of SVC.
ER -