Content-based image retrieval by multimodal interaction

C. Bauckhage, Thomas Käster, Michael Pfeiffer, G. Sagerer
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引用次数: 8

Abstract

Due to the size of today's professional image databases, the standard approach to content-based image retrieval is to interactively navigate through the content. However, most people whose job necessitates working with such databases do not have a technical background. Commercial practice thus requires efficient retrieval techniques as well as navigation interfaces that are intuitive to use and easy to learn. In this paper we introduce a system for interactive image retrieval that combines different approaches to feature based queries. Furthermore, it allows multimodal interaction because apart from conventional input devices like mouse and keyboard, it is possible to operate the system using a touch screen or even natural language. Besides technical details and results on retrieval accuracy, we also present results of usability experiments which underline that users well appreciate multimodal interfaces for image retrieval.
基于内容的多模态交互图像检索
由于当今专业图像数据库的规模,基于内容的图像检索的标准方法是交互式地浏览内容。然而,大多数工作中需要使用此类数据库的人都没有技术背景。因此,商业实践需要有效的检索技术以及使用直观且易于学习的导航界面。在本文中,我们介绍了一个交互式图像检索系统,该系统结合了不同的基于特征的查询方法。此外,它允许多模式交互,因为除了鼠标和键盘等传统输入设备外,还可以使用触摸屏甚至自然语言来操作系统。除了技术细节和检索精度的结果外,我们还提供了可用性实验的结果,这些结果强调了用户对图像检索的多模式界面的赞赏。
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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