Fast motion detection for thin client compression

B. O. Christiansen, K. Schauser
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引用次数: 12

Abstract

State-of-the-art lossless compression methods have enabled thin client computing across wide area networks which is rapidly gaining momentum. While these compression methods exploit redundancies typically found in synthetic images, none of them exploits large blocks often occurring verbatim in sequences of display updates because detecting movements of such blocks is computationally demanding. In this paper, we present a novel algorithm for detecting block movements in image sequences that is fast enough for interactive logins. We also integrate our algorithm into TCC, the best previously known codec for thin client computing. In the presence of motion, our new codec, TCC-M, typically compresses 50 to 950 times more efficiently than TCC. It also reduces the end-to-end latency of scrolling Web pages at DSL speeds by a factor of 5.
快速运动检测瘦客户端压缩
最先进的无损压缩方法使跨广域网的瘦客户端计算成为可能,这种计算正在迅速获得动力。虽然这些压缩方法利用了合成图像中常见的冗余,但它们都没有利用经常在显示更新序列中逐字出现的大块,因为检测这些块的移动需要大量的计算。在本文中,我们提出了一种新的算法来检测图像序列中的块运动,该算法足够快,可以进行交互式登录。我们还将我们的算法集成到TCC中,TCC是瘦客户机计算中最著名的编解码器。在存在运动的情况下,我们的新编解码器TCC- m的压缩效率通常比TCC高50到950倍。它还将以DSL速度滚动Web页面的端到端延迟减少了5倍。
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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