Refined adaptive video quality demands over heterogeneous networks

User demands of video quality are increasing rapidly. Videos streaming providers have been trying hard to fulfill users’ requests of best video qualities over heterogeneous networks. However it is extremely challenging to meet adequate bandwidth which guaranty users’ pleasance. With current portable...

Full description

Bibliographic Details
Main Authors:	Issa, Sinzobakwira, Khalifa, Othman Omran, Gunawan, Teddy Surya
Format:	Conference or Workshop Item
Language:	English English
Published:	2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/60072/ http://irep.iium.edu.my/60072/ http://irep.iium.edu.my/60072/13/60072-Refined%20Adaptive%20Video%20Quality%20Demands.pdf http://irep.iium.edu.my/60072/19/60072_Refined%20adaptive%20video%20quality%20demands%20over%20heterogeneous%20networks_SCOPUS%20CONF.pdf

id	iium-60072
recordtype	eprints
spelling	iium-600722019-01-24T00:47:27Z http://irep.iium.edu.my/60072/ Refined adaptive video quality demands over heterogeneous networks Issa, Sinzobakwira Khalifa, Othman Omran Gunawan, Teddy Surya TK Electrical engineering. Electronics Nuclear engineering User demands of video quality are increasing rapidly. Videos streaming providers have been trying hard to fulfill users’ requests of best video qualities over heterogeneous networks. However it is extremely challenging to meet adequate bandwidth which guaranty users’ pleasance. With current portable devices, users change dynamically their positions and demands, thus anticipating the distribution methods of bandwidths and channel capacities. Two modules are used to perform the quality adaptation: the First Adaptive Video Quality (FAVQ) and the Refined Adaptive Video Quality (RAVQ). Both modules form the algorithms that match the layers with resources available at the peer. On one hand, to determine the highest potential layer which user can retrieve and play, the FAVQ is used and perform at session start. On the other hand, due to the changes in environmental network, the RAVQ is performed regularly to adjust the layer accordingly. JSVM 9.14 was used for performance evaluation of the developed schemes. This study manage to formulate the problem as bandwidth reduction and still achieve short delay and maintain acceptable video streaming quality base on scalable video coding (SVC). 2017 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/60072/13/60072-Refined%20Adaptive%20Video%20Quality%20Demands.pdf application/pdf en http://irep.iium.edu.my/60072/19/60072_Refined%20adaptive%20video%20quality%20demands%20over%20heterogeneous%20networks_SCOPUS%20CONF.pdf Issa, Sinzobakwira and Khalifa, Othman Omran and Gunawan, Teddy Surya (2017) Refined adaptive video quality demands over heterogeneous networks. In: 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) 2017, 28th-30th November 2017, Putrajaya. http://icsima.ieeemy-ims.org/17/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Issa, Sinzobakwira Khalifa, Othman Omran Gunawan, Teddy Surya Refined adaptive video quality demands over heterogeneous networks
description	User demands of video quality are increasing rapidly. Videos streaming providers have been trying hard to fulfill users’ requests of best video qualities over heterogeneous networks. However it is extremely challenging to meet adequate bandwidth which guaranty users’ pleasance. With current portable devices, users change dynamically their positions and demands, thus anticipating the distribution methods of bandwidths and channel capacities. Two modules are used to perform the quality adaptation: the First Adaptive Video Quality (FAVQ) and the Refined Adaptive Video Quality (RAVQ). Both modules form the algorithms that match the layers with resources available at the peer. On one hand, to determine the highest potential layer which user can retrieve and play, the FAVQ is used and perform at session start. On the other hand, due to the changes in environmental network, the RAVQ is performed regularly to adjust the layer accordingly. JSVM 9.14 was used for performance evaluation of the developed schemes. This study manage to formulate the problem as bandwidth reduction and still achieve short delay and maintain acceptable video streaming quality base on scalable video coding (SVC).
format	Conference or Workshop Item
author	Issa, Sinzobakwira Khalifa, Othman Omran Gunawan, Teddy Surya
author_facet	Issa, Sinzobakwira Khalifa, Othman Omran Gunawan, Teddy Surya
author_sort	Issa, Sinzobakwira
title	Refined adaptive video quality demands over heterogeneous networks
title_short	Refined adaptive video quality demands over heterogeneous networks
title_full	Refined adaptive video quality demands over heterogeneous networks
title_fullStr	Refined adaptive video quality demands over heterogeneous networks
title_full_unstemmed	Refined adaptive video quality demands over heterogeneous networks
title_sort	refined adaptive video quality demands over heterogeneous networks
publishDate	2017
url	http://irep.iium.edu.my/60072/ http://irep.iium.edu.my/60072/ http://irep.iium.edu.my/60072/13/60072-Refined%20Adaptive%20Video%20Quality%20Demands.pdf http://irep.iium.edu.my/60072/19/60072_Refined%20adaptive%20video%20quality%20demands%20over%20heterogeneous%20networks_SCOPUS%20CONF.pdf
first_indexed	2023-09-18T21:25:09Z
last_indexed	2023-09-18T21:25:09Z
_version_	1777412142287290368

Refined adaptive video quality demands over heterogeneous networks

Similar Items