Operations Research Approach Towards Layered Multi-Source Video Delivery
We address the problem of rate scaling of multiple layered video streams in applications such as a multi-camera video surveillance system. This differs from the single video streaming scenario in that relevant information from all sources has to be aggregated and a collective decision made. We propo...
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sg-smu-ink.sis_research-29052013-11-20T02:31:27Z Operations Research Approach Towards Layered Multi-Source Video Delivery CHEOK, Lai-Tee Eleftheriadis, Alexandros We address the problem of rate scaling of multiple layered video streams in applications such as a multi-camera video surveillance system. This differs from the single video streaming scenario in that relevant information from all sources has to be aggregated and a collective decision made. We propose a scenario to achieve better granularity in quality adaptation by considering inter-source and inter-layer streaming jointly, using Operation Research techniques to arrive at an optimal or nearoptimal solution. We formulate our Multi-Source Multi-Layer Selection (SLS) problem in the form of a Multiple-Choice Knapsack Problem (MCKP). We analyze optimal and approximate algorithms to determine their suitability for solving the problem. We present a simple modification based on an existing greedy aglorithm by exploiting some properties of layered video. The modified SLS algorithm is extended to incorporate weights (Weighted SLS – WSLS – algorithm). Via experimental results using MPEG-4 FGS, we show that WSLS improves the performance for specialized applications. We also discuss the various network configurations of a multi-source video distribution system. 2004-12-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/1906 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering |
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We address the problem of rate scaling of multiple layered video streams in applications such as a multi-camera video surveillance system. This differs from the single video streaming scenario in that relevant information from all sources has to be aggregated and a collective decision made. We propose a scenario to achieve better granularity in quality adaptation by considering inter-source and inter-layer streaming jointly, using Operation Research techniques to arrive at an optimal or nearoptimal solution. We formulate our Multi-Source Multi-Layer Selection (SLS) problem in the form of a Multiple-Choice Knapsack Problem (MCKP). We analyze optimal and approximate algorithms to determine their suitability for solving the problem. We present a simple modification based on an existing greedy aglorithm by exploiting some properties of layered video. The modified SLS algorithm is extended to incorporate weights (Weighted SLS – WSLS – algorithm). Via experimental results using MPEG-4 FGS, we show that WSLS improves the performance for specialized applications. We also discuss the various network configurations of a multi-source video distribution system. |
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CHEOK, Lai-Tee Eleftheriadis, Alexandros |
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CHEOK, Lai-Tee Eleftheriadis, Alexandros |
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CHEOK, Lai-Tee |
title |
Operations Research Approach Towards Layered Multi-Source Video Delivery |
title_short |
Operations Research Approach Towards Layered Multi-Source Video Delivery |
title_full |
Operations Research Approach Towards Layered Multi-Source Video Delivery |
title_fullStr |
Operations Research Approach Towards Layered Multi-Source Video Delivery |
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Operations Research Approach Towards Layered Multi-Source Video Delivery |
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operations research approach towards layered multi-source video delivery |
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Institutional Knowledge at Singapore Management University |
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2004 |
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https://ink.library.smu.edu.sg/sis_research/1906 |
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