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A low refresh-rate video sequences compression technique using quadtrees and adaptive spatial sampling

机译:使用四叉树和自适应空间采样的低刷新率视频序列压缩技术

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In this paper, a compression chain for digital images is described that achieves high compression ratios and stable quality over long periods without the need for frequent generation of reference frames. The compression algorithm described thus proposes an innovative solution for the transmission of the refresh information which is the usual cause of bit rate peaks and/or decoding delays if smoothing is applied to these peaks. Experimental results show that for at least 100 frames, the quality is constant enough not to request any generation of intra-coded frames. The technique is quite general as it doesn't make any assumption about the image type. The best results are obtained for sequences with medium-to-low motion such as those encountered in video phone and video conference applications or remote surveillance systems.
机译:在本文中,描述了用于数字图像的压缩链,其在长期内实现高压缩比和稳定的质量,而无需频繁产生参考框架。因此,如果将平滑施加到这些峰值,则所描述的压缩算法提出了用于传输的刷新信息的创新解决方案,该刷新信息是比特率峰值和/或解码延迟的常用原因。实验结果表明,对于至少100帧,质量足够恒定,不要求任何一代编码帧。该技术非常一般,因为它不会对图像类型做出任何假设。使用中到低运动的序列获得最佳结果,例如视频电话和视频会议应用程序或远程监控系统中遇到的序列。

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