SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos
Recently, various adaptation methods have been proposed to cope with throughput fluctuations in HTTP adaptive streaming (HAS). However, these methods have mostly focused on constant bitrate (CBR) videos. Moreover, most of them are qualitative in the sense that performance metrics could only be obtai...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2017/7323681 |
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| _version_ | 1832564785142562816 |
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| author | Thoa Nguyen Thang Vu Nam Pham Ngoc Truong Cong Thang |
| author_facet | Thoa Nguyen Thang Vu Nam Pham Ngoc Truong Cong Thang |
| author_sort | Thoa Nguyen |
| collection | DOAJ |
| description | Recently, various adaptation methods have been proposed to cope with throughput fluctuations in HTTP adaptive streaming (HAS). However, these methods have mostly focused on constant bitrate (CBR) videos. Moreover, most of them are qualitative in the sense that performance metrics could only be obtained after a streaming session. In this paper, we propose a new adaptation method for streaming variable bitrate (VBR) videos using stochastic dynamic programming (SDP). With this approach, the system should have a probabilistic characterization along with the definition of a cost function that is minimized by a control strategy. Our solution is based on a new statistical model where the future streaming performance is directly related to the past bandwidth statistics. We develop mathematical models to predict and develop simulation models to measure the average performance of the adaptation policy. The experimental results show that the prediction models can provide accurate performance prediction which is useful in planning adaptation policy and that our proposed adaptation method outperforms the existing ones in terms of average quality and average quality switch. |
| format | Article |
| id | doaj-art-e471fc08a4a64d249debff6fc523c9b8 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-e471fc08a4a64d249debff6fc523c9b82025-02-03T01:10:17ZengWileyAdvances in Multimedia1687-56801687-56992017-01-01201710.1155/2017/73236817323681SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR VideosThoa Nguyen0Thang Vu1Nam Pham Ngoc2Truong Cong Thang3Hanoi University of Science and Technology, Hanoi, VietnamHanoi University of Science and Technology, Hanoi, VietnamHanoi University of Science and Technology, Hanoi, VietnamThe University of Aizu, Aizuwakamatsu, JapanRecently, various adaptation methods have been proposed to cope with throughput fluctuations in HTTP adaptive streaming (HAS). However, these methods have mostly focused on constant bitrate (CBR) videos. Moreover, most of them are qualitative in the sense that performance metrics could only be obtained after a streaming session. In this paper, we propose a new adaptation method for streaming variable bitrate (VBR) videos using stochastic dynamic programming (SDP). With this approach, the system should have a probabilistic characterization along with the definition of a cost function that is minimized by a control strategy. Our solution is based on a new statistical model where the future streaming performance is directly related to the past bandwidth statistics. We develop mathematical models to predict and develop simulation models to measure the average performance of the adaptation policy. The experimental results show that the prediction models can provide accurate performance prediction which is useful in planning adaptation policy and that our proposed adaptation method outperforms the existing ones in terms of average quality and average quality switch.http://dx.doi.org/10.1155/2017/7323681 |
| spellingShingle | Thoa Nguyen Thang Vu Nam Pham Ngoc Truong Cong Thang SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos Advances in Multimedia |
| title | SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos |
| title_full | SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos |
| title_fullStr | SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos |
| title_full_unstemmed | SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos |
| title_short | SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos |
| title_sort | sdp based quality adaptation and performance prediction in adaptive streaming of vbr videos |
| url | http://dx.doi.org/10.1155/2017/7323681 |
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