Contextual information for image retrieval systems

Chee Sheen Chan, A. Johar, Jer Lang Hong
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引用次数: 4

Abstract

Images in web come with valuable contextual information, which is useful for indexing and retrieval systems. However, there is no current acceptable standard which define the boundary and region where this information is located. In this paper, we discuss the state of the art image retrieval systems and address the current problem with these systems. We then formulate a hypothesis that contextual information can be found within the region nearby the images and we conduct a user study to validate our approach.
图像检索系统的上下文信息
网络中的图像带有有价值的上下文信息,这对索引和检索系统很有用。然而,目前还没有可接受的标准来定义这些信息所在的边界和区域。在本文中,我们讨论了当前图像检索系统的现状,并解决了这些系统存在的问题。然后,我们提出一个假设,即可以在图像附近的区域找到上下文信息,并进行用户研究来验证我们的方法。
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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