Structural knowledge for decomposing image sequences

机译：分解图像序列的结构知识

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The storage and retrieval of digital image sequences is becoming more important with the proliferation of computers, the internet, digital TV and digital cameras. This paper suggests using a prioi knowledge in the design to improve the decomposition of digital image sequences for data storage and retrieval. In particular, the paper focuses on the specific image sequence structure which differs depending on the application. Different image sequence structures dictate different image sequence decomposition approaches. Examples of various image sequence structures are given. The structural knowledge of the image sequence is shown to impact the video analysis tools used for decomposition.

机译：随着计算机，互联网，数字电视和数码相机的普及，数字图像序列的存储和检索变得越来越重要。本文建议在设计中使用先验知识，以改善数字图像序列的分解，以进行数据存储和检索。特别是，本文着重于特定的图像序列结构，该结构根据应用而有所不同。不同的图像序列结构指示不同的图像序列分解方法。给出了各种图像序列结构的示例。显示了图像序列的结构知识会影响用于分解的视频分析工具。

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《International Conference on Imaging Science,Systems,and Technology CISST'99 Une 28-July 1, 1999 Las Vegas, Nevada, USA》|1999年|p.325-331|共7页
会议地点 Las Vegas NV(US);Las Vegas NV(US)
作者
Gregory J.Power;
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原文格式 PDF
正文语种 eng
中图分类无线电电子学、电信技术;
关键词
Image Sequence Analysis; Data Storage and Retrieval; Motion Imagery; Digital Video; video on demand;

机译：图像序列分析；数据存储与检索；动态影像；数字视频；视频点播;

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Structural knowledge for decomposing image sequences

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