http://www.cnr.it/ontology/cnr/individuo/prodotto/ID91684
Region Based Image Similarity Search Inspired by Text Search (Contributo in atti di convegno)
- Type
- Label
- Region Based Image Similarity Search Inspired by Text Search (Contributo in atti di convegno) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Alternative label
Amato G.; Magionami V.; Savino P. (2007)
Region Based Image Similarity Search Inspired by Text Search
in IRCDL - Third Italian Research Conference on Digital Library Systems, Padova, 29-30, January 2007
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Amato G.; Magionami V.; Savino P. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- IRCDL - Third Italian Research Conference on Digital Library Systems (Padova, 29-30, January 2007). Proceedings (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- In: IRCDL - Third Italian Research Conference on Digital Library Systems (Padova, 29-30, January 2007). Proceedings, pp. 78 - 85. DELOS A Network of Excellence on Digital Libraries, 2007. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
- ABSTRACT: We present a novel technique for processing image similarity search by using an approach that takes inspiration from text retrieval techniques. In our approach images are indexed by using visual terms taken from a visual lexicon obtained clustering regions of images in the dataset. A weighting and matching schema is defined that allow effective image retrieval to be performed by using inverted files, thus requiring reduced storage space and achieving high efficiency. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- Region Based Image Similarity Search Inspired by Text Search (literal)
- Abstract
- We present a novel technique for processing image similarity search by using an approach that takes inspiration from text retrieval techniques. In our approach images are indexed by using visual terms taken from a visual lexicon obtained clustering regions of images in the dataset. A weighting and matching schema is defined that allow effective image retrieval to be performed by using inverted files, thus requiring reduced storage space and achieving high efficiency. (literal)
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