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CFM@MediaEval 2017 Retrieving diverse social images task via re-ranking and hierarchical clustering
Authors
Y Bin
X Fu
+4 more
L Peng
HT Shen
Y Yang
J Zhou
Publication date
1 January 2017
Publisher
Abstract
© 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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OPUS - University of Technology Sydney
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Last time updated on 18/10/2019