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Retrieving diverse social images at mediaeval 2016: Challenge, dataset and evaluation

B. Ionescu 1 A.L. Gînscǎ 2 M. Zaharieva 3 B. Boteanu 1 M. Lupu 3 H. Müller 4
1 LAPI - Laboratoire d'Analyse et Traitement d'Images
2 DIASI - Département Intelligence Ambiante et Systèmes Interactifs
3 TU WIEN - Technical University of Vienna [Vienna]
4 HES-SO Valais-Wallis - Haute École Spécialisée de Suisse Occidentale Valais-Wallis
Abstract : This paper provides an overview of the Retrieving Diverse Social Images task that is organized as part of the Media-Eval 2016 Benchmarking Initiative for Multimedia Evaluation. The task addresses the problem of result diversification in the context of social photo retrieval where images, metadata, text information, user tagging profiles and content and text models are available for processing. We present the task challenges, the proposed data set and ground truth, the required participant runs and the evaluation metrics.
Keywords : Text models Text information Social images Photo retrieval nocv1 Ground truth Evaluation metrics Data set
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Conference papers
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https://hal-cea.archives-ouvertes.fr/cea-01843182
Contributor : Léna Le Roy <>
Submitted on : Wednesday, July 18, 2018 - 3:55:56 PM
Last modification on : Monday, February 10, 2020 - 6:13:48 PM

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B. Ionescu, A.L. Gînscǎ, M. Zaharieva, B. Boteanu, M. Lupu, et al.. Retrieving diverse social images at mediaeval 2016: Challenge, dataset and evaluation. 016 Multimedia Benchmark Workshop, MediaEval 2016, 2016, Hilversum, Netherlands. ⟨cea-01843182⟩

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