【摘要】：隨著多樣性的網絡多媒體業(yè)務如IPTV、VoD和VoIP等的大量涌現(xiàn)及網絡的普及，使得人們對因特網上多媒體應用的需求也大量增加。由于無線網絡覆蓋范圍的擴大及IP帶寬的增加，使得人們通過手機、筆記本、IPAD等移動終端來獲取豐富多彩的多媒體服務變得越來越方便，然而實時視頻流服務仍舊受到網絡延遲和不確定丟包等因素的影響，服務質量和體驗質量不能得到保證。 面對這些具有挑戰(zhàn)性的因素，如何根據(jù)所提供的服務來保證終端客戶的體驗質量（Qualityof Experience，，QoE）是多媒體服務提供商目前迫切需要解決的問題。 本文通過對現(xiàn)有的視音頻評價方法關于QoE的影響因素，以及常用的量化和分類方法的分析，結合無線信道的錯誤模型及網絡層相關的服務質量（Quality of Service，QoS）參數(shù)，以視頻流媒體服務為背景，對文獻[42]提出的視頻QoE評估模型進行改進，提出了改進的視頻QoE評價模型。實驗結果和分析表明，本文提出的改進模型比文獻[42]的模型更加合理，能夠更準確地表示視頻的QoE值。 基于本文提出的模型，視頻服務商能夠根據(jù)傳輸網絡性能預測通過傳輸后的視頻的可接受度，從而能夠為終端用戶提供更好的服務。
[Abstract]:With the emergence of diverse network multimedia services such as IPTV,VoD and VoIP and the popularity of the network, the demand for multimedia applications on the Internet has increased greatly. Due to the expansion of wireless network coverage and the increase of IP bandwidth, it is becoming more and more convenient for people to obtain rich and colorful multimedia services through mobile terminals such as mobile phones, laptops, IPAD and so on. However, real-time video streaming services are still affected by network delay and uncertain packet loss, and the quality of service and experience can not be guaranteed. In the face of these challenging factors, how to guarantee the end customer experience quality (Qualityof Experience,QoE) according to the services provided is an urgent problem for multimedia service providers. Based on the analysis of the influence factors of the existing video and audio evaluation methods on QoE, as well as the commonly used quantization and classification methods, this paper combines the error model of wireless channel and the network layer related quality of service (Quality of Service,QoS) parameters. Based on video streaming media service, the video QoE evaluation model proposed in literature [42] is improved, and an improved video QoE evaluation model is proposed. Experimental results and analysis show that the improved model proposed in this paper is more reasonable than that in reference [42] and can represent the QoE value of video more accurately. Based on the model proposed in this paper, the video service provider can predict the acceptability of the transmitted video according to the performance of the transmission network, thus providing better service for the end user.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP393.09

【參考文獻】

相關期刊論文 前1條

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本文編號：2280928