6533b85ffe1ef96bd12c2851
RESEARCH PRODUCT
Some Results Using Different Approaches to Merge Visual and Text-Based Features in CLEF’08 Photo Collection
Ana García-serranoXaro BenaventJosé Miguel Goñi-menoyoRuben Granadossubject
InformáticaTelecomunicacionesInformation retrievalComputer sciencebusiness.industrySearch engine indexingInformationSystems_INFORMATIONSTORAGEANDRETRIEVAL020206 networking & telecommunications02 engineering and technologyClefSoftwareHuman–computer information retrieval0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingVisual WordDocument retrievalbusinessImage retrievalMerge (version control)description
This paper describes the participation of the MIRACLE team at the ImageCLEF Photographic Retrieval task of CLEF 2008. We succeeded in submitting 41 runs. Obtained results from text-based retrieval are better than content-based as previous experiments in the MIRACLE team campaigns [5, 6] using different software. Our main aim was to experiment with several merging approaches to fuse text-based retrieval and content-based retrieval results, and it happened that we improve the text-based baseline when applying one of the three merging algorithms, although visual results are lower than textual ones.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-01-01 |