A large scale system for searching and browsing images from the World Wide Web

被引：0
|
作者：
Yavlinsky, Alexei
Heesch, Daniel
Ruger, Stefan
机构：
[1] Univ London Imperial Coll Sci Technol & Med, Dept Comp, London SW7 2AZ, England
[2] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2AZ, England
来源：
IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS | 2006年 / 4071卷
关键词：
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：
This paper outlines the technical details of a prototype system for searching and browsing over a million images from the World Wide Web using their visual contents. The system relies on two modalities for accessing images - automated image annotation and NNk image network browsing. The user supplies the initial query in the form of one or more keywords and is then able to locate the desired images more precisely using a browsing interface.
引用
收藏
页码：537 / 540
页数：4
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