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Adaptive rate control algorithm to improve the performance of H.264 video codec in varying network conditions.

机译:自适应速率控制算法可在变化的网络条件下提高H.264视频编解码器的性能。

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摘要

This thesis involves proposing an efficient algorithm, which takes into consideration the NALU (Network abstraction Layer Unit) and tries to improve the H.264 codec performance over a network. Along with the bandwidth instabilities in the Internet and other issues like the packet drop cause the video frames to be dropped, which makes the video, appear distorted. The main idea behind the algorithm is to vary the bitrate by varying the Quantization parameter, both of which are stored in the reference table. The reference table is calculated based on the analysis of the sequences of different video clips. By changing the bitrate based on the bandwidth available the codec performs better and produces good results of (Signal to Noise Ratio)SNR. The research is based on the development of the reference table which when referred helps to change the quantization parameter of the codec for coding a Group of Frames in a video by periodically checking the network statistics. At the cost of reduction in the resolution due to the network conditions the video frame drop is avoided which helps improve the video quality at the decoder.;The entire simulations for this research were carried out using the JM Reference Software H.264 Encoder and decoder Version JM 10.2. Packet drop was simulated by dropping the individual NAL units from the video stream.
机译:本文涉及提出一种有效的算法,该算法考虑了NALU(网络抽象层单元),并试图提高网络上的H.264编解码器性能。加上Internet的带宽不稳定以及其他问题,例如数据包丢失,会导致视频帧丢失,从而使视频失真。该算法的主要思想是通过改变量化参数来改变比特率,这两个参数都存储在参考表中。参考表是基于对不同视频片段的序列的分析来计算的。通过基于可用带宽更改比特率,编解码器性能更好,并产生(信噪比)SNR良好的结果。该研究基于参考表的开发,参考表的开发有助于通过定期检查网络统计信息来更改用于对视频中的一组帧进行编码的编解码器的量化参数。以网络条件导致的分辨率降低为代价,避免了视频帧丢失,这有助于提高解码器的视频质量。整个研究使用JM参考软件H.264编码器和解码器进行版本JM 10.2。通过从视频流中删除单个N​​AL单元来模拟数据包丢失。

著录项

  • 作者

    Shingvi, Swapnil.;

  • 作者单位

    Wichita State University.;

  • 授予单位 Wichita State University.;
  • 学科 Engineering Electronics and Electrical.;Computer Science.
  • 学位 M.S.
  • 年度 2006
  • 页码 46 p.
  • 总页数 46
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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