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An active scene analysis-based approach for pseudoconstant bit-ratevideo coding

机译:基于活动场景分析的伪恒定比特率视频编码方法

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Digital video transmission across the network is now widely used in the Internet community. Visual information transmission will no doubt play an important role in a future national information infrastructure (NII). Very often, however, the channel bandwidth is fixed. Therefore, video coding based on an appropriate bit-rate control is a key to the success of accommodating visual communication in NII. In this paper, an extremely efficient rate-control algorithm for pseudoconstant bit rate video coder is proposed. The proposed technique, adaptive scene analysis, intelligently collects required information to obtain estimated bit counts from the previous, present, and future frames. This collected intelligent information is then employed to govern the resource allocation so that better objective quality can be achieved under the bit-rate restriction. Combined with a series of dynamic rate-control schemes, the proposed algorithm demonstrates impressive quality transition between successive frames. In addition, the bit-rate irregularities caused by dramatic scene transition can be smoothed out in a very short period. A comparison with the MPEG-2 Test Model 5 is also presented in this paper
机译:如今,通过网络进行的数字视频传输已广泛用于Internet社区。视觉信息传输无疑将在未来的国家信息基础架构(NII)中发挥重要作用。但是,通道带宽通常是固定的。因此,基于适当的比特率控制的视频编码是在NII中成功容纳视觉通信的关键。本文提出了一种非常有效的伪恒定码率视频编码器码率控制算法。所提出的技术(自适应场景分析)可以智能地收集所需信息,以从先前,当前和将来的帧中获取估计的比特数。然后,将这些收集的智能信息用于控制资源分配,以便可以在比特率限制下实现更好的目标质量。结合一系列动态速率控制方案,该算法证明了连续帧之间令人印象深刻的质量过渡。另外,可以在很短的时间内消除由剧烈的场景过渡引起的比特率不规则性。本文还介绍了与MPEG-2测试模型5的比较

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