Contextual Information for Image Retrieval Systems

被引：0
|
作者：
Chan, Chee Sheen [1 ]
Johar, Adel [1 ]
Hong, Jer Lang [1 ]
机构：
[1] Taylors Univ, Sch Comp & IT, Selangor, Malaysia
来源：
2013 10TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) | 2013年
关键词：
Human-Centred Design; Search Engines;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：863 / 867
页数：5
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