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Estimation of LRD present in H.264 video traces using wavelet analysis and proving the paramount of H.264 using OPF technique in wi-fi environment.

机译:使用小波分析估计H.264视频轨迹中存在的LRD,并在wi-fi环境中使用OPF技术证明H.264的重要性。

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摘要

While there has always been a tremendous demand for streaming video overudWireless networks, the nature of the application still presents some challengingudissues. These applications that transmit coded video sequence data over best-effortudnetworks like the Internet, the application must cope with the changing networkudbehaviour; especially, the source encoder rate should be controlled based onudfeedback from a channel estimator that explores the network intermittently. Theudarrival of powerful video compression techniques such as H.264, which advance inudnetworking and telecommunications, opened up a whole new frontier for multimediaudcommunications. The aim of this research is to transmit the H.264 coded videoudframes in the wireless network with maximum reliability and in a very efficientudmanner. When the H.264 encoded video sequences are to be transmitted throughudwireless network, it faces major difficulties in reaching the destination. Theudcharacteristics of H.264 video coded sequences are studied fully and their capabilityudof transmitting in wireless networks are examined and a new approach calledudOptimal Packet Fragmentation (OPF) is framed and the H.264 coded sequences areudtested in the wireless simulated environment. This research has three major studiesudinvolved in it. First part of the research has the study about Long Range Dependenceud(LRD) and the ways by which the self-similarity can be estimated. For estimating theudLRD a few studies are carried out and Wavelet-based estimator is selected for theudresearch because Wavelets incarcerate both time and frequency features in the dataudand regularly provides a more affluent picture than the classical Fourier analysis.udThe Wavelet used to estimate the self-similarity by using the variable called HurstudParameter. Hurst Parameter tells the researcher about how a data can behave inside the transmitted network. This Hurst Parameter should be calculated for a moreudreliable transmission in the wireless network. The second part of the research dealsudwith MPEG-4 and H.264 encoder. The study is carried out to prove which encoder isudsuperior to the other. We need to know which encoder can provide excellent Qualityudof Service (QoS) and reliability. This study proves with the help of Hurst parameterudthat H.264 is superior to MPEG-4. The third part of the study is the vital part in thisudresearch; it deals with the H.264 video coded frames that are segmented into optimaludpacket size in the MAC Layer for an efficient and more reliable transfer in theudwireless network. Finally the H.264 encoded video frames incorporated with theudOptimal Packet Fragmentation are tested in the NS-2 wireless simulated network.udThe research proves the superiority of H.264 video encoder and OPF¿s master class.
机译:尽管对无线网络流视频的需求一直很高,但是应用程序的性质仍然带来一些挑战性/麻烦。这些应用程序通过诸如Internet之类的“尽力而为”网络传输编码的视频序列数据,该应用程序必须应对不断变化的网络行为。特别是,源编码器速率应基于来自断续探索网络的信道估计器的 udfeedback进行控制。强大的视频压缩技术(如H.264)的到来,推动了网络通信和电信的发展,从而为多媒体通信提供了一个全新的领域。这项研究的目的是在无线网络中以最高的可靠性和非常高效的方式传输H.264编码的视频 udframe。当H.264编码的视频序列要通过无线网络传输时,在到达目的地时将面临很大的困难。对H.264视频编码序列的 ud特性进行了全面研究,并研究了它们在无线网络中传输的能力 udof,并构筑了一种称为 udOptimal Packet Fragmentation(OPF)的新方法,并在H.264视频编码序列中对其进行了 udtest。无线模拟环境。这项研究有三项主要研究涉及其中。研究的第一部分是关于远程依赖 ud(LRD)以及估计自相似性的方法的研究。为了估计 udLRD,进行了一些研究,并选择了基于小波的估计器进行 udre研究,因为小波隐含了数据中的时间和频率特征,并且与传统的傅立叶分析相比,规律地提供了更为丰富的图像。通过使用称为Hurst udParameter的变量来估计自相似性。赫斯特参数(Hurst Parameter)告诉研究人员数据在传输网络内部的行为方式。应该为无线网络中更可靠的传输计算此赫斯特参数。研究的第二部分涉及MPEG-4和H.264编码器。进行研究以证明哪个编码器优于另一个编码器。我们需要知道哪种编码器可以提供出色的质量/服务质量(QoS)和可靠性。这项研究借助Hurst参数 ud证明H.264优于MPEG-4。研究的第三部分是这项 udresearch的重要部分;它处理H.264视频编码帧,这些帧在MAC层中被分割为最佳 udpacket大小,以在 udwire无线网络中进行高效,可靠的传输。最后,在NS-2无线仿真网络中对结合了“最佳分组分割”的H.264编码视频帧进行了测试。 ud研究证明了H.264视频编码器和OPF主类的优越性。

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    Jayaseelan John;

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  • 年度 2012
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