Type

Conference Proceedings

Authors

Gareth J. F. Jones
Eija Airio
Tomasz Adamek
Peter Wilkins
Anni Jarvelin

Subjects

Computer Science

Topics
content based image retrieval training data ad hoc dublin city information retrieval fuzzy matching text retrieval data fusion

DCU and UTA at ImageCLEFPhoto 2007 (2007)

Abstract Dublin City University (DCU) and University of Tampere(UTA) participated in the ImageCLEF 2007 photographic ad-hoc retrieval task with several monolingual and bilingual runs. Our approach was language independent: text retrieval based on fuzzy s-gram query translation was combined with visual retrieval. Data fusion between text and image content was performed using unsupervised query-time weight generation approaches. Our baseline was a combination of dictionary-based query translation and visual retrieval, which achieved the best result. The best mixed modality runs using fuzzy s-gram translation achieved on average around 83% of the performance of the baseline. Performance was more similar when only top rank precision levels of P10 and P20 were considered. This suggests that fuzzy sgram query translation combined with visual retrieval is a cheap alternative for cross-lingual image retrieval where only a small number of relevant items are required. Both sets of results emphasize the merit of our query-time weight generation schemes for data fusion, with the fused runs exhibiting marked performance increases over single modalities, this is achieved without the use of any prior training data.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval

Full list of authors on original publication

Gareth J. F. Jones, Eija Airio, Tomasz Adamek, Peter Wilkins, Anni Jarvelin

Experts in our system

1
Gareth J. F. Jones
Dublin City University
Total Publications: 265