In this paper, we propose an Adaptation Decision-Taking Engine (ADTE) that targets the delivery of scalable video content in mobile usage environments. Our ADTE design relies on an objective perceptual quality metric in order to achieve video adaptation according to human visual perception, thus allowing to maximize the Quality of Service (QoS). To describe the characteristics of a particular usage environment, as well as the properties of the scalable video content, MPEG-21 Digital Item Adaptation (DIA) is used. Our experimental results show that the proposed ADTE design provides video content with a higher subjective quality than an ADTE using the conventional maximum-bit-allocation method.
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Cheon Seog KIM, Hosik SOHN, Wesley De NEVE, Yong Man RO, "An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 1, pp. 93-96, January 2009, doi: 10.1587/transinf.E92.D.93.
Abstract: In this paper, we propose an Adaptation Decision-Taking Engine (ADTE) that targets the delivery of scalable video content in mobile usage environments. Our ADTE design relies on an objective perceptual quality metric in order to achieve video adaptation according to human visual perception, thus allowing to maximize the Quality of Service (QoS). To describe the characteristics of a particular usage environment, as well as the properties of the scalable video content, MPEG-21 Digital Item Adaptation (DIA) is used. Our experimental results show that the proposed ADTE design provides video content with a higher subjective quality than an ADTE using the conventional maximum-bit-allocation method.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.93/_p
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@ARTICLE{e92-d_1_93,
author={Cheon Seog KIM, Hosik SOHN, Wesley De NEVE, Yong Man RO, },
journal={IEICE TRANSACTIONS on Information},
title={An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content},
year={2009},
volume={E92-D},
number={1},
pages={93-96},
abstract={In this paper, we propose an Adaptation Decision-Taking Engine (ADTE) that targets the delivery of scalable video content in mobile usage environments. Our ADTE design relies on an objective perceptual quality metric in order to achieve video adaptation according to human visual perception, thus allowing to maximize the Quality of Service (QoS). To describe the characteristics of a particular usage environment, as well as the properties of the scalable video content, MPEG-21 Digital Item Adaptation (DIA) is used. Our experimental results show that the proposed ADTE design provides video content with a higher subjective quality than an ADTE using the conventional maximum-bit-allocation method.},
keywords={},
doi={10.1587/transinf.E92.D.93},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content
T2 - IEICE TRANSACTIONS on Information
SP - 93
EP - 96
AU - Cheon Seog KIM
AU - Hosik SOHN
AU - Wesley De NEVE
AU - Yong Man RO
PY - 2009
DO - 10.1587/transinf.E92.D.93
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2009
AB - In this paper, we propose an Adaptation Decision-Taking Engine (ADTE) that targets the delivery of scalable video content in mobile usage environments. Our ADTE design relies on an objective perceptual quality metric in order to achieve video adaptation according to human visual perception, thus allowing to maximize the Quality of Service (QoS). To describe the characteristics of a particular usage environment, as well as the properties of the scalable video content, MPEG-21 Digital Item Adaptation (DIA) is used. Our experimental results show that the proposed ADTE design provides video content with a higher subjective quality than an ADTE using the conventional maximum-bit-allocation method.
ER -