CRIS Current Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIn this paper we describe PIBE, a new Personalizable Image Browsing Engine that allows an effective visual exploration of large image collections combining computer vision and database techniques. The principal features of PIBE include the possibility of modifying the browsing structure by means of graphical personalization actions provided by the visual interface, and of persistently storing such customizations for subsequent browsing sections. The PIBE hierarchical browsing structure, called Browsing Tree, can be locally customized, thus avoiding global reorganizations, which are clearly unfeasible with large collections. Indeed, each node of the Browsing Tree has associated a cluster of images and a specific dissimilarity function. We present the basic principles of the PIBE engine, and report some experimental results showing the effectiveness and the efficiency of the browsing and personalization functionalities provided.
| Titolo: | The PIBE Personalizable Image Browsing Engine | |
| Autore/i: | BARTOLINI, ILARIA; CIACCIA, PAOLO; PATELLA, MARCO | |
| Autore/i Unibo: | ||
| Anno: | 2004 | |
| Titolo del libro: | Proceedings of the 1st International Workshop on Computer Vision meets Databases (CVDB 2004) | |
| Pagina iniziale: | 43 | |
| Pagina finale: | 50 | |
| Abstract: | In this paper we describe PIBE, a new Personalizable Image Browsing Engine that allows an effective visual exploration of large image collections combining computer vision and database techniques. The principal features of PIBE include the possibility of modifying the browsing structure by means of graphical personalization actions provided by the visual interface, and of persistently storing such customizations for subsequent browsing sections. The PIBE hierarchical browsing structure, called Browsing Tree, can be locally customized, thus avoiding global reorganizations, which are clearly unfeasible with large collections. Indeed, each node of the Browsing Tree has associated a cluster of images and a specific dissimilarity function. We present the basic principles of the PIBE engine, and report some experimental results showing the effectiveness and the efficiency of the browsing and personalization functionalities provided. | |
| Data prodotto definitivo in UGOV: | 10-ott-2005 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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