Low Bit Rate Video Signal Processing Using Dynamic Profiling

P. Waingankar, K. Desai
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Abstract

In this paper the three algorithm are used for low bit rate colour video signal processing, namely simple dynamic profiling (simple DP), minimum dynamic profiling (minimum DP), mean dynamic profiling (mean DP). This technique is used in conjunction with frame reduction scheme to lower the bit rate without much affecting the colour video signal. Many of the techniques available for low bit rate video applications will either require lot of hardware resources or take advantage of the powerful computer platform that is used for their software implementation. The algorithms used are devised targeting hardware implementation for systems with limited hardware resources. The algorithms can be used for multiple colour frames for any type of video signals. When the results are compared to coarse quantization technique, the new techniques not only achieve better compression ratio and better PSNR results for colour video
使用动态分析的低比特率视频信号处理
本文采用简单动态分析(simple DP)、最小动态分析(minimum DP)、平均动态分析(mean DP)三种算法对低比特率彩色视频信号进行处理。该技术与帧缩减方案结合使用,可以在不影响彩色视频信号的情况下降低比特率。许多可用于低比特率视频应用的技术要么需要大量硬件资源,要么利用用于其软件实现的强大计算机平台。所使用的算法针对硬件资源有限的系统的硬件实现而设计。该算法可用于任何类型视频信号的多色帧。将结果与粗量化技术进行比较,发现新技术不仅对彩色视频具有更好的压缩比和PSNR效果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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