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QoS based video delivery with foveation

机译:基于QoS的基于QoS的视频交付

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摘要

Spatially varying sensing (foveation) was first used as a means for image compression in our past research. We extend previous work to address the advantages of foveation in improving the performance of MPEG compression over bandwidth limited channels, such as the Internet. Unlike other approaches to foveating MPEG which used multiresolution representations, we use continuously spatially varying resolution and demonstrate that this approach is indeed advantageous over others. Two parameters, scaling and distortion, are used to allow us to adapt MPEG video to various compression ratios. Experimental results are presented, and can be viewed on the Web, validating our approach.
机译:在我们过去的研究中,空间变化的感知(偏心)首先被用作图像压缩的一种手段。我们扩展了以前的工作,以解决在提高带宽受限的通道(例如Internet)上提高MPEG压缩性能方面,集中化的优势。与其他使用多分辨率表示形式来回避MPEG的方法不同,我们使用连续的空间变化分辨率,并证明此方法确实比其他方法更具优势。缩放和失真这两个参数用于允许我们使MPEG视频适应各种压缩率。实验结果已经提出,可以在网上查看,验证了我们的方法。

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