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Updated: Jan 7, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

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将语义和内容功能集成到bloom过器中,以实现高效的图像检索.

Ali Mustafa Qamar1, Rehan Ullah Khan2, Mohammed Alsuhaibani3

  • 1Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia. al.khan@qu.edu.sa.

Scientific reports
|December 24, 2025
PubMed
概括

这项研究引入了一种新方法,通过使用图像标题和强度数据来减少Bloom过器 (BFs) 中的虚假阳性,用于图像检索. 这种方法可以提高Bloom过器在大规模数据应用中的效率.

关键词:
布鲁姆过器 布鲁姆过器计算机视觉 计算机视觉 计算机视觉基于内容的内容.图像处理 图像处理

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