Refined adaptive video quality demands over heterogeneous networks

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.

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Abstract

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).

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	4119/60072
Uncontrolled Keywords:	Quality video streaming, FAVQ, RAVQ and Heterogeneous System
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	14 Dec 2017 15:36
Last Modified:	24 Jan 2019 08:47
URI:	http://irep.iium.edu.my/id/eprint/60072

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