Visual structures for image browsing
Visual structures for image browsing
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图像浏览的视觉结构
DOI：
10.1145/956863.956874
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
H. V. Rocha
中科院分区：
文献类型：
--
作者：
R. Torres;C. G. Silva;C. B. Medeiros;H. V. Rocha
基于内容的图像检索（CBIR）提出了一些挑战，并已受到广泛的研究，从许多领域，如图像处理或数据库系统。数据库研究人员关心的是索引和查询，而图像处理专家则担心如何提取合适的图像描述符。相对较少的工作已经做了设计CBIR系统的用户界面。这反过来又对这些系统产生了深远的影响，因为图像相似性的概念受到用户感知的强烈影响。本文介绍了初步的努力，以填补这一空白，结合最近的研究，在CBIR和信息可视化，从人机界面的角度研究。提出了两种基于螺旋环和同心环的查询结果可视化技术，并在一个基于内容的图像检索系统中实现。该方法的核心是保持用户关注的查询图像，和最相似的检索图像。到目前为止进行的实验表明，所提出的可视化策略提高了系统的可用性。
Content-Based Image Retrieval (CBIR) presents several challenges and has been subject to extensive research from many domains, such as image processing or database systems. Database researchers are concerned with indexing and querying, whereas image processing experts worry about extracting appropriate image descriptors. Comparatively little work has been done on designing user interfaces for CBIR systems. This, in turn, has a profound effect on these systems since the concept of image similarity is strongly influenced by user perception. This paper describes an initial effort to fill this gap, combining recent research in CBIR and Information Visualization, studied from a Human-Computer Interface perspective. It presents two visualization techniques based on Spiral and Concentric Rings implemented in a CBIR system to explore query results. The approach is centered on keeping user focus on both the query image, and the most similar retrieved images. Experiments conducted so far suggest that the proposed visualization strategies improves system usability.