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H.264空间分辨率转码研究
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摘要
随着网络和多媒体通信技术的发展,在移动视频终端上提供视频服务的需求越来越强烈。移动终端具有一些共同的特点,包括显示分辨率低,芯片处理能力弱,同时受限于移动网络的带宽。MPEG-2是目前使用最广泛的视频编码标准之一,然而它压缩后的视频码率较高,并不适合于移动无线网络的视频需求。H.264是最新的视频编码标准,由于其出色的编码性能,将得到广泛的应用。本文针对移动视频终端的需求,研究MPEG-2视频和H.264视频之间的转换编码技术。
     在简要介绍视频编码原理,特别是MPEG-2和H.264编码标准的基础上,对视频转换编码技术进行总结和归纳。论文的主要工作如下:
     首先,提出了一种MPEG-2到H.264空间分辨率转码算法。它通过充分利用MPEG-2解码过程中得到的运动矢量和预测残差,可显著减小H.264编码过程中宏码编码模式确定和运动估计过程的计算复杂度,并得到最终的H.264视频流。PC平台上几种典型视频测试序列的仿真实验结果表明,本算法对视频质量的损失较小,有稳定的率失真性能,有利于实时转码的实现。
     其次,考虑到H.264的编码过程具有很高的计算复杂度,对编码过程进行了优化,提出了一种快速的多参考帧运动估计算法。通过分析典型的视频序列选取参考帧的统计信息和相邻块所选择的参考帧,来调节当前编码块在每个参考帧中的运动搜索半径。该算法可以大幅度提高运动估计的速度,同时可以获得和参考软件相似的视频质量和比特率,有利于H.264编码器的实时应用。
With the development of network and multimedia communication technology, the need for providing video services on mobile devices is stronger and stronger. For these mobile terminals, they share some common characteristics, such as small display screen, low computational ability etc. Moreover, they are restricted by the bandwidth of mobile wireless network. MPEG-2 is one of the most widely used video coding standards. Because of its high bit rate after compression, it is not appropriate for application in wireless network. H.264 is the latest video standard. Because of its excellent performance, it will be widely used in near future. To meet the need of mobile video terminals, this thesis researches on the video transcoding between MPEG-2 and H.264.
     After a brief introduction of video coding principles, especially the MPEG-2 and H.264 video standards, the techniques for video transcoding are summarized. The main work of this thesis is outlined as follows.
     First, a spatial downscaling transcoding algorithm between MPEG-2 and H.264 is proposed. It full utilizes the motion vectors and predictive residues gathered in MPEG-2 decoding to greatly decrease the computational complexity of macroblock coding mode decision and motion vector re-estimation in H.264, and generates the H.264 bit streams. Experimental results on several video sequences demonstrate that it can significantly reduce the computational complexity of the transcoder with just slight sacrificing the rate-distortion performance, which does benefit to real time transcoding.
     Second, a fast multiple reference frames selection algorithm is proposed to decrease the high computational complexity in H.264 encoder. It adjusts the search range of every reference frame according to the analysis of the probability of frequently occurred best reference frame and the best reference frames of neighboring blocks. The proposed approach is faster than the reference software, while keeping almost the same video quality and bit rate. It can do benefit to the real time application of H.264 codec.
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