Learning Query-Dependent Distance Metrics for Interactive Image Retrieval

被引：0

作者：

Han, Junwei ^{[1
]}

McKenna, Stephen J. ^{[1
]}

Wang, Ruixuan ^{[1
]}

机构：

[1] Univ Dundee, Sch Comp, Dundee DD1 4HN, Scotland

来源：

COMPUTER VISION SYSTEMS, PROCEEDINGS | 2009年 / 5815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：

An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative constraints that are used to adapt distance metrics for retrieval. The user can change the query during a search session in order to speed tip the retrieval process. An empirical comparison of online learning methods including ranking-SVM is reported using both simulated and real users.

引用

页码：374 / 383

页数：10

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