Benchmarking Result Diversification in Social Image Retrieval

Ionescu, Bogdan and Popescu, Adrian and Müller, Henning and Menéndez, María and Radu, Anca-Livia (0014) Benchmarking Result Diversification in Social Image Retrieval. 445 Hoes Lane Piscataway, N.J. 08854, U.S.A. : IEEE Signal Processing Society. (Submitted)

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    This article addresses the issue of retrieval result diversification in the context of social image retrieval and discusses the results achieved during the MediaEval 2013 benchmarking. 38 runs and their results are described and analyzed in this text. A comparison of the use of expert vs. crowdsourcing annotations shows that crowdsourcing results are slightly different and have higher inter observer differences but results are comparable at lower cost. Multimodal approaches have best results in terms of cluster recall. Manual approaches can lead to high precision but often lower diversity. With this de- tailed results analysis we give future insights on this matter. Index Terms— social photo retrieval, result diversification, image content description, re-ranking, crowdsourcing.

    Item Type: Conference paper
    FP7 Grant Agreement Number: CUbRIK FP7 n287704, PROMISE FP7 n258191
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA076 Computer software > QA076.7 Programming Languages - Semantics
    Repository staff approval on: 04 Jun 2014 11:30

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