Diversity, assortment, dissimilarity, variety: a study of diversity measures using low level features for video retrieval

Martin Halvey, P Punitha, David Hannah, Robert Villa, Frank Hopfgartner, Anuj Goyal, Joemon M. Jose

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

    Abstract

    In this paper we present a number of methods for re-ranking video search results in order to introduce diversity into the set of search results. The usefulness of these approaches is evaluated in comparison with similarity based measures, for the TRECVID 2007 collection and tasks [11]. For the MAP of the search results we find that some of our approaches perform as well as similarity based methods. We also find that some of these results can improve the P@N values for some of the lower N values. The most successful of these approaches was then implemented in an interactive search system for the TRECVID 2008 interactive search tasks. The responses from the users indicate that they find the more diverse search results extremely useful.
    Original languageEnglish
    Title of host publicationAdvances in Information Retrieval
    Subtitle of host publicationProceedings of the 31st European Conference on Advances in Information Retrieval (ECIR 2009)
    Editors M. Boughanem, C. Berrut, J. Mothe, C. Soule-Dupuy
    PublisherSpringer
    Pages126-137
    Number of pages12
    Volume5478
    ISBN (Print)9783642009570
    DOIs
    Publication statusPublished - 2009

    Publication series

    NameLecture Notes in Computer Science

    Keywords

    • video retrieval
    • diversity measures

    Cite this

    Halvey, M., Punitha, P., Hannah, D., Villa, R., Hopfgartner, F., Goyal, A., & Jose, J. M. (2009). Diversity, assortment, dissimilarity, variety: a study of diversity measures using low level features for video retrieval. In M. Boughanem, C. Berrut, J. Mothe, & C. Soule-Dupuy (Eds.), Advances in Information Retrieval : Proceedings of the 31st European Conference on Advances in Information Retrieval (ECIR 2009) (Vol. 5478, pp. 126-137). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-642-00958-7_14