Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/2067/440
Titolo: | Structured Knowledge Representation for Image Retrieval | Autori: | Di Sciascio, Eugenio Donini, Francesco Maria Mongiello, Marina |
Parole chiave: | Image Retrieval;Knowledge Representation;Artificial Intelligence;Intelligent Systems | Data pubblicazione: | apr-2002 | Editore: | AI Access Foundation and Morgan Kaufmann Publishers | Fonte: | Journal of Artificial Intelligence Research 16 (2002) 209-257 | Abstract: | 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 defining reasoning services, such as retrieval, classification, and subsumption. These services can be used for both exact and approximate matching, using similarity measures. Using our logical approach as a formal specification, we implemented a complete clientserver 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. |
URI: | http://hdl.handle.net/2067/440 | ISSN: | 11076 - 9757 |
È visualizzato nelle collezioni: | DISUCOM - Archivio della produzione scientifica |
File in questo documento:
File | Descrizione | Dimensioni | Formato | |
---|---|---|---|---|
2002-jair.pdf | 1.05 MB | Adobe PDF | Visualizza/apri |
Page view(s)
85
Last Week
0
0
Last month
0
0
controllato il 27-mar-2024
Download(s)
93
controllato il 27-mar-2024
Google ScholarTM
Check
Tutti i documenti nella community "Unitus Open Access" sono pubblicati ad accesso aperto.
Tutti i documenti nella community Prodotti della Ricerca" sono ad accesso riservato salvo diversa indicazione per alcuni documenti specifici