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  • 學位論文

基於即時傳輸協定之影像串流頻寬偵測技術

Video Stream Bandwidth Estimate Technology Based on RTP Protocol

指導教授 : 朱元三
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摘要


近年來,由於網路技術的演進與行動裝置的普及,致使多媒體影像串流的服務越趨普及,由於傳輸上透過了各式各樣的行動裝置與網路環境,使得用戶端的得到的可用網路頻寬也不盡相同,也因此,可用頻寬的偵測技術也更趨重要。提出一個好的頻寬技術有兩大重點需要符合:高準確性與低負擔性;在對網路環境造成最小影響的情況下能偵測出準確的可用頻寬便是本論文的重點。 本論文提出藉由即時傳輸協定為探測封包的自動頻寬偵測技術,將影像串流檔案,封裝為探測封包傳送,故在傳輸上不需要額外的探測封包,以避免造成額外的網路負擔,並且透過即時傳輸的特性;使用B-slice作為探測封包來估算頻寬,從而將因封包遺失導致造成的畫面影響縮小,以在不影響畫面品質的前提下,得到準確的可用頻寬值。

並列摘要


In recent years, the popularity of mobile devices and the network technology improve progressively. Services of multi-media video streaming become increasingly popular. When a file transmit through various mobile devices and network environment, end user might receive different available bandwidth. So the technique of the available bandwidth estimation will be much more important. To make a good band width estimate technology meets two key points: high accuracy and low-loading. The way to minimize network impact and detect the available bandwidth correctly is the focal point in this paper. In this paper, we presents a bandwidth detect technology based on real-time protocol, which is using multi-media video streaming as probing pairs. In this way, it is no longer needed additional probing data to estimate the available bandwidth, and also reduce the internet loading. According to the real-time transmission characteristics, searching and using the B-slice to estimate the bandwidth is convenient. And in this way we can reduce the impact of quality causing by packet-loss. So we can get the result of the available bandwidth correctly without affecting the quality of the video stream.

參考文獻


[1] M. Jain and C. Dovrolis, “End-to-End Available Bandwidth: Measurement Methodology, Dynamics, and Relation With TCP Throughput,” IEEE/ACM Trans. Networking, pp. 537-549, Aug. 2003.
[2] B. Melander, M. Bjorkman, and P. Gunningberg, “A New End-to-End Probing and Analysis Method for Estimating Bandwidth Bottlenecks,” Global Telecommunications Conference, pp.415-420, Dec. 2000.
[4] M. Li, M. Claypool, R. Kinicki, “WBest: a Bandwidth Estimation Tool for IEEE 802.11 Wireless Networks,” Local Computer Networks, Oct. 2008.
[5] N. Hu, and P. Steenkiste, “Evaluation and Characterization of Available Bandwidth Probing Techniques,” IEEE JSAC, pp. 879-894, Aug. 2003.
[12] D. Gupta, D. Wu, P. Mohapatra, C. Chuah, “Experimental Comparison of Bandwidth Estimation Tools for Wireless Mesh Networks,” IEEE INFOCOM, April 2009.

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