基于網(wǎng)絡(luò)QoS參數(shù)的視頻QoE評(píng)估模型
發(fā)布時(shí)間:2018-10-19 11:04
【摘要】:隨著多樣性的網(wǎng)絡(luò)多媒體業(yè)務(wù)如IPTV、VoD和VoIP等的大量涌現(xiàn)及網(wǎng)絡(luò)的普及,使得人們對(duì)因特網(wǎng)上多媒體應(yīng)用的需求也大量增加。由于無(wú)線網(wǎng)絡(luò)覆蓋范圍的擴(kuò)大及IP帶寬的增加,使得人們通過(guò)手機(jī)、筆記本、IPAD等移動(dòng)終端來(lái)獲取豐富多彩的多媒體服務(wù)變得越來(lái)越方便,然而實(shí)時(shí)視頻流服務(wù)仍舊受到網(wǎng)絡(luò)延遲和不確定丟包等因素的影響,服務(wù)質(zhì)量和體驗(yàn)質(zhì)量不能得到保證。 面對(duì)這些具有挑戰(zhàn)性的因素,如何根據(jù)所提供的服務(wù)來(lái)保證終端客戶的體驗(yàn)質(zhì)量(Qualityof Experience,,QoE)是多媒體服務(wù)提供商目前迫切需要解決的問(wèn)題。 本文通過(guò)對(duì)現(xiàn)有的視音頻評(píng)價(jià)方法關(guān)于QoE的影響因素,以及常用的量化和分類方法的分析,結(jié)合無(wú)線信道的錯(cuò)誤模型及網(wǎng)絡(luò)層相關(guān)的服務(wù)質(zhì)量(Quality of Service,QoS)參數(shù),以視頻流媒體服務(wù)為背景,對(duì)文獻(xiàn)[42]提出的視頻QoE評(píng)估模型進(jìn)行改進(jìn),提出了改進(jìn)的視頻QoE評(píng)價(jià)模型。實(shí)驗(yàn)結(jié)果和分析表明,本文提出的改進(jìn)模型比文獻(xiàn)[42]的模型更加合理,能夠更準(zhǔn)確地表示視頻的QoE值。 基于本文提出的模型,視頻服務(wù)商能夠根據(jù)傳輸網(wǎng)絡(luò)性能預(yù)測(cè)通過(guò)傳輸后的視頻的可接受度,從而能夠?yàn)榻K端用戶提供更好的服務(wù)。
[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(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP393.09
本文編號(hào):2280928
[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(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP393.09
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 林闖;胡杰;孔祥震;;用戶體驗(yàn)質(zhì)量(QoE)的模型與評(píng)價(jià)方法綜述[J];計(jì)算機(jī)學(xué)報(bào);2012年01期
本文編號(hào):2280928
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