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Relevant clouds: leveraging relevance feedback to build tag clouds for image search

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Relevant clouds: leveraging relevance feedback to build tag clouds for image search

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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. doi:10.1007/978-3-642-40802-1_18

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/38998

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Title: Relevant clouds: leveraging relevance feedback to build tag clouds for image search
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
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 ...[+]
Subjects: Image search and retrieval , Relevance feedback , Tag clouds
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-642-40801-4
Source:
Information Access Evaluation. Multilinguality, Multimodality, and Visualization. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-40802-1_18
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007%2F978-3-642-40802-1_18
Series: Lecture Notes in Computer Science;
Project ID: info:eu-repo/grantAgreement/EC/FP7/600707
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40802-1_18
Type: Capítulo de libro

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