测量一个概念的可视性

Jin-Woo Jeong, Xin-Jing Wang, Dong-Ho Lee
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引用次数: 12

摘要

在本文中,我们提出了一种新的方法来测量一个概念的视觉性。概念的可视性通常定义为概念具有视觉特征的程度。尽管概念的可视性对于各种图像搜索任务很重要,也很有用,但它还没有受到太多关注。在这项工作中,我们特别关注如何衡量“圆桌”、“干床”等复杂概念的视觉性,而不是“球”、“苹果”等简单概念。为了测量视觉性,我们首先使用网络图像搜索引擎收集一个复杂概念的样本图像,然后根据视觉特征对图像进行分组。最后,我们计算聚类的视觉纯度和加权熵,这将作为概念的视觉性评分。通过各种实验,我们展示和讨论了关于概念的视觉性的有趣结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards measuring the visualness of a concept
In this paper, we propose a new method to measure the visualness of a concept. The visualness of a concept is generally defined as what extent a concept has visual characteristics. Even though the visualness of a concept is important and useful for various image search tasks, it has not received much spotlight yet. In this work, we especially focus on how to measure the visualness of a complex concept such as "round table", "dry bed" rather than a simple concept like "ball", "apple". To measure the visualness, we first collect sample images of a complex concept using web image search engines, and then group the images based on the visual features. Finally, we compute visual purity and weighted entropy of the clusters, which will act as a visualness score for the concept. Through various experiments, we show and discuss interesting results about the visualness of a concept.
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