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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
2017
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| Online Access: | 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 |
| _version_ | 1848785428027539456 |
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| author | Issa, Sinzobakwira Khalifa, Othman Omran Gunawan, Teddy Surya |
| author_facet | Issa, Sinzobakwira Khalifa, Othman Omran Gunawan, Teddy Surya |
| author_sort | Issa, Sinzobakwira |
| building | IIUM Repository |
| collection | Online Access |
| 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). |
| first_indexed | 2025-11-14T16:52:59Z |
| format | Proceeding Paper |
| id | iium-60072 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:52:59Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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/ |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Issa, Sinzobakwira Khalifa, Othman Omran Gunawan, Teddy Surya Refined adaptive video quality demands over heterogeneous networks |
| title | 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_short | Refined adaptive video quality demands over heterogeneous networks |
| title_sort | refined adaptive video quality demands over heterogeneous networks |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |