注视点视频图像分析和压缩增益测量

Sanghoon Lee, A. Bovik
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引用次数: 6

摘要

我们提出了一个框架,用于评估质量,并确定焦点和压缩图像和视频流的效率。我们开发了独特的算法来评估焦点图像/视频数据的质量。通过将注视点解释为坐标变换,我们分析了我们的注视点方法所提供的压缩效率的增加。我们使用符合标准的H.263的修改(注视点)版本,在注视点压缩视频流上演示这些概念。在模拟中,注视点方法大大提高了质量与压缩的关系。我们获得的压缩增益范围为I图像的8%到52%,P图像的7%到68%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Foveated video image analysis and compression gain measurements
We present a framework for assessing the quality of, and determining the efficiency of foveated and compressed images and video streams. We develop unique algorithms for assessing the quality of foveated image/video data. By interpreting foveation as a coordinate transformation, we analyze the increase in compression efficiency that is afforded by our foveation approach. We demonstrate these concepts on foveated, compressed video streams using modified (foveated) versions of H.263 that are standards-compliant. In the simulations, quality versus compression is enhanced considerably by the foveation approach. We obtain compression gains ranging from 8% to 52% for I pictures and from 7% to 68% for P pictures.
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