Structured knowledge representation for image retrieval

被引:18
作者
Di Sciascio, E [1 ]
Donini, FM [1 ]
Mongiello, M [1 ]
机构
[1] Politecn Bari, Dipartimento Elettrotecn & Elettron, I-70125 Bari, Italy
关键词
D O I
10.1613/jair.902
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of images containing complex objects. As other approaches do, we start from low-level features extracted with image analysis to detect and characterize regions in an image. However, in contrast with feature-based approaches, we provide a syntax to describe segmented regions as basic objects and complex objects as compositions of basic ones. Then we introduce a companion extensional semantics for de ning reasoning services, such as retrieval, classification, and subsumption. These services can e used for both exact and approximate matching, using similarity measures. Using our logical approach as a formal specification, we implemented a complete client-server image retrieval system, which allows a user to pose both queries by sketch and queries by example. A set of experiments has been carried out on a testbed of images to assess the retrieval capabilities of the system in comparison with expert users ranking. Results are presented adopting a well-established measure of quality borrowed from textual information retrieval.
引用
收藏
页码:209 / 257
页数:49
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