Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Massive query expansion by exploiting graph knowledge bases for image retrieval

Autor
Guisado, J.; Dominguez, D.; Larriba, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
4th ACM International Conference on Multimedia Retrieval
Any de l'edició
2014
Data de presentació
2014-04-01
Llibre d'actes
Proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014: Glasgow, UK
Pàgina inicial
33
Pàgina final
40
Editor
Association for Computing Machinery (ACM)
DOI
https://doi.org/10.1145/2578726.2578737 Obrir en finestra nova
Projecte finançador
PROCESADO DE ALTO RENDIMIENTO DE GRANDES CONJUNTOS DE DATOS REPRESENTADOS COMO GRAFOS
PTQ-11-04970 - Spin-off PYME Pequeña JEIs
Repositori
http://hdl.handle.net/2117/23122 Obrir en finestra nova
URL
http://dl.acm.org/citation.cfm?doid=2578726.2578737 Obrir en finestra nova
Resum
Annotation-based techniques for image retrieval suffer from sparse and short image textual descriptions. Moreover, users are often not able to describe their needs with the most appropriate keywords. This situation is a breeding ground for a vocabulary mismatch problem resulting in poor results in terms of retrieval precision. In this paper, we propose a query expansion technique for queries expressed as keywords and short natural language descriptions. We present a new massive query expansion s...
Citació
Guisado, J.; Dominguez, D.; Larriba, J. Massive query expansion by exploiting graph knowledge bases for image retrieval. A: ACM International Conference on Multimedia Retrieval. "Proceedings of the ACM International Conference on Multimedia Retrieval 2014: April 1st-4th, 2014: Glasgow, UK". Glasgow: Association for Computing Machinery (ACM), 2014, p. 33-40.
Paraules clau
Community detection, Graph mining techniques, Information retrieval, Knowledge bases, Query expansion, Wikipedia
Grup de recerca
DAMA-UPC - Data Management Group

Participants