Detecting friday night party photos: Semantics for tag recommendation

Philip J. McParlane, Yelena Mejova, Ingmar Weber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multimedia annotation is central to its organization and retrieval - a task which tag recommendation systems attempt to simplify. We propose a photo tag recommendation system which automatically extracts semantics from visual and meta-data features to complement existing tags. Compared to standard content/tag-based models, these automatic tags provide a richer description of the image and especially improve performance in the case of the "cold start problem".

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Proceedings
Pages756-759
Number of pages4
DOIs
Publication statusPublished - 2 Apr 2013
Event35th European Conference on Information Retrieval, ECIR 2013 - Moscow, Russian Federation
Duration: 24 Mar 201327 Mar 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7814 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other35th European Conference on Information Retrieval, ECIR 2013
CountryRussian Federation
CityMoscow
Period24/3/1327/3/13

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

McParlane, P. J., Mejova, Y., & Weber, I. (2013). Detecting friday night party photos: Semantics for tag recommendation. In Advances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Proceedings (pp. 756-759). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7814 LNCS). https://doi.org/10.1007/978-3-642-36973-5_77