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dc.contributor.author | Leiva Torres, Luis Alberto![]() |
es_ES |
dc.contributor.author | Villegas Santamaría, Mauricio![]() |
es_ES |
dc.contributor.author | Paredes Palacios, Roberto![]() |
es_ES |
dc.date.accessioned | 2014-07-24T14:29:00Z | |
dc.date.issued | 2013 | |
dc.identifier.isbn | 978-3-642-40801-4 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/10251/38998 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40802-1_18 | es_ES |
dc.description.abstract | Previous work in the literature has been aimed at exploring tag clouds to improve image search and potentially increase retrieval performance. However, to date none has considered the idea of building tag clouds derived from relevance feedback. We propose a simple approach to such an idea, where the tag cloud gives more importance to the words from the relevant images than the non-relevant ones. A preliminary study with 164 queries inspected by 14 participants over a 30M dataset of automatically annotated images showed that 1) tag clouds derived this way are found to be informative: users considered roughly 20% of the presented tags to be relevant for any query at any time; and 2) the importance given to the tags correlates with user judgments: tags ranked in the first positions tended to be perceived more often as relevant to the topic that users had in mind. | es_ES |
dc.description.sponsorship | Work supported by EU FP7/2007-2013 under grant agreements 600707 (tranScriptorium) and 287576 (CasMaCat), and by the STraDA project (TIN2012-37475-C02-01). | |
dc.language | Inglés | es_ES |
dc.publisher | Springer Verlag (Germany) | es_ES |
dc.relation.ispartof | Information Access Evaluation. Multilinguality, Multimodality, and Visualization | es_ES |
dc.relation.ispartofseries | Lecture Notes in Computer Science | |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Image search and retrieval | es_ES |
dc.subject | Relevance feedback | es_ES |
dc.subject | Tag clouds | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Relevant clouds: leveraging relevance feedback to build tag clouds for image search | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.embargo.lift | 10000-01-01 | |
dc.embargo.terms | forever | es_ES |
dc.identifier.doi | 10.1007/978-3-642-40802-1_18 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//TIN2012-37475-C02-01/ES/SEARCH IN TRANSCRIBED MANUSCRIPTS AND DOCUMENT AUGMENTATION/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/600707/EU/tranScriptorium/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/287576/EU/Cognitive Analysis and Statistical Methods for Advanced Computer Aided Translation/ | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Leiva Torres, LA.; Villegas Santamaría, M.; Paredes Palacios, R. (2013). Relevant clouds: leveraging relevance feedback to build tag clouds for image search. En Information Access Evaluation. Multilinguality, Multimodality, and Visualization. Springer Verlag (Germany). 143-149. https://doi.org/10.1007/978-3-642-40802-1_18 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007%2F978-3-642-40802-1_18 | es_ES |
dc.description.upvformatpinicio | 143 | es_ES |
dc.description.upvformatpfin | 149 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.senia | 248649 | |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |
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