CFM@MediaEval 2017 Retrieving diverse social images task via re-ranking and hierarchical clustering

Publication Type:
Conference Proceeding
Citation:
CEUR Workshop Proceedings, 2017, 1984
Issue Date:
2017-01-01
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© 2017 Author/owner(s). This paper presents an approach based on re-ranking and hierarchical clustering (HC) for MediaEval 2017 Retrieving Diverse Social Images Task. The experimental results on the development and test set demonstrate that the proposed approach can significantly improve relevance and visual diversity of the query results. Our approach achieves a good tradeoff between relevance and diversity and a result in F1@20 of 0.6533 for the employed test data.
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