Similarity-Based Visualization for Image Browsing Revisited

Klaus Schöffmann, David Ahlström
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引用次数: 17

Abstract

We investigate whether users' visual search performance in a commonly used grid-like arrangement of images (i.e., a storyboard) can be improved by using a similarity-based sorting of images. We propose a simple but efficient algorithm for sorting image based on their color similarity. The algorithm generates an intuitive arrangement of images and allows for general application with several different layouts (e.g., storyboard, simple row/column, 3D globe/cylinder). In difference to previous work, which rarely present results from user studies, we perform a fair user study and compare an interface with color sorted images to an interface with images positioned in a random order. Both interfaces use exactly the same screen estate and interaction means. Results show that users are 20\% faster with the sorted interface.
基于相似性的图像浏览可视化
我们研究了用户在常用的网格状图像排列(即故事板)中的视觉搜索性能是否可以通过使用基于相似性的图像排序来改进。我们提出了一种简单而有效的基于颜色相似度的图像排序算法。该算法生成直观的图像排列,并允许使用几种不同布局的一般应用程序(例如,故事板,简单的行/列,3D球形/圆柱体)。与之前很少展示用户研究结果的工作不同,我们进行了一个公平的用户研究,并将带有颜色排序图像的界面与以随机顺序定位图像的界面进行了比较。两个界面使用完全相同的屏幕属性和交互方式。结果表明,用户使用排序界面的速度提高了20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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