A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone

Rapid advancement of technology and their increasing affordability have transformed mobile devices from a means of communication to tools for socialization, entertainment, work and learning. However, advancement of battery technology and capacity is slow compared to energy need. Viewing content with...

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Main Author:	Abd Rahim, Mohd Hilmi Izwan
Format:	Thesis
Language:	English English English
Published:	2019
Subjects:	QA76.75-76.765 Computer software
Online Access:	http://eprints.uthm.edu.my/83/1/24p%20MOHD%20NORASRI%20%20ISMAIL.pdf http://eprints.uthm.edu.my/83/2/MOHD%20NORASRI%20%20ISMAIL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/83/3/MOHD%20NORASRI%20%20ISMAIL%20WATERMARK.pdf
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spelling	my-uthm-ep.832021-06-22T07:47:43Z A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone 2019-07 Abd Rahim, Mohd Hilmi Izwan QA76.75-76.765 Computer software Rapid advancement of technology and their increasing affordability have transformed mobile devices from a means of communication to tools for socialization, entertainment, work and learning. However, advancement of battery technology and capacity is slow compared to energy need. Viewing content with high quality of experience will consume high power. In limited available energy, normal content adaptation system will decrease the content quality, hence reducing quality of experience. However, there is a need for optimizing content quality of experience (QoE) in a limited available energy. With modification and improvement, content adaptation may solve this issue. The key objective of this research is to propose a framework for energy-aware video content adaptation system to enable video delivery over the Internet. To optimise the QoE while viewing streaming video on a limited available smartphone energy, an algorithm for energy-aware video content adaptation decision-taking engine named EnVADE is proposed. The EnVADE algorithm uses selective mechanism. Selective mechanism means the video segmented into scenes and adaptation process is done based on the selected scenes. Thus, QoE can be improved. To evaluate EnVADE algorithm in term of energy efficiency, an experimental evaluation has been done. Subjective evaluation by selected respondents are also has been made using Absolute Category Rating method as recommended by ITU to evaluate EnVADE algorithm in term of QoE. In both evaluation, comparison with other methods has been made. The results show that the proposed solution is able to increase the viewing time of about 14% compared to MPEG-DASH which is an official international standard and widely used streaming method. In term of QoE subjective test, EnVADE algorithm score surpasses the score of other video streaming method. Therefore, EnVADE framework and algorithm has proven its capability as an alternative technique to stream video content with higher QoE and lower energy consumption. 2019-07 Thesis http://eprints.uthm.edu.my/83/ http://eprints.uthm.edu.my/83/1/24p%20MOHD%20NORASRI%20%20ISMAIL.pdf text en public http://eprints.uthm.edu.my/83/2/MOHD%20NORASRI%20%20ISMAIL%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/83/3/MOHD%20NORASRI%20%20ISMAIL%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Sains Komputer dan Teknologi Maklumat
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	QA76.75-76.765 Computer software
spellingShingle	QA76.75-76.765 Computer software Abd Rahim, Mohd Hilmi Izwan A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
description	Rapid advancement of technology and their increasing affordability have transformed mobile devices from a means of communication to tools for socialization, entertainment, work and learning. However, advancement of battery technology and capacity is slow compared to energy need. Viewing content with high quality of experience will consume high power. In limited available energy, normal content adaptation system will decrease the content quality, hence reducing quality of experience. However, there is a need for optimizing content quality of experience (QoE) in a limited available energy. With modification and improvement, content adaptation may solve this issue. The key objective of this research is to propose a framework for energy-aware video content adaptation system to enable video delivery over the Internet. To optimise the QoE while viewing streaming video on a limited available smartphone energy, an algorithm for energy-aware video content adaptation decision-taking engine named EnVADE is proposed. The EnVADE algorithm uses selective mechanism. Selective mechanism means the video segmented into scenes and adaptation process is done based on the selected scenes. Thus, QoE can be improved. To evaluate EnVADE algorithm in term of energy efficiency, an experimental evaluation has been done. Subjective evaluation by selected respondents are also has been made using Absolute Category Rating method as recommended by ITU to evaluate EnVADE algorithm in term of QoE. In both evaluation, comparison with other methods has been made. The results show that the proposed solution is able to increase the viewing time of about 14% compared to MPEG-DASH which is an official international standard and widely used streaming method. In term of QoE subjective test, EnVADE algorithm score surpasses the score of other video streaming method. Therefore, EnVADE framework and algorithm has proven its capability as an alternative technique to stream video content with higher QoE and lower energy consumption.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abd Rahim, Mohd Hilmi Izwan
author_facet	Abd Rahim, Mohd Hilmi Izwan
author_sort	Abd Rahim, Mohd Hilmi Izwan
title	A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
title_short	A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
title_full	A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
title_fullStr	A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
title_full_unstemmed	A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
title_sort	selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Sains Komputer dan Teknologi Maklumat
publishDate	2019
url	http://eprints.uthm.edu.my/83/1/24p%20MOHD%20NORASRI%20%20ISMAIL.pdf http://eprints.uthm.edu.my/83/2/MOHD%20NORASRI%20%20ISMAIL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/83/3/MOHD%20NORASRI%20%20ISMAIL%20WATERMARK.pdf
_version_	1747830525553278976

A selective approach for energy-aware video content adaptation decision-taking engine in android based smartphone

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