Talks and Poster Presentations (with Proceedings-Entry):
J. Palotti, N. Rekabsaz, M. Lupu, A. Hanbury:
"TUW @ Retrieving Diverse Social Images Task 2014";
Talk: MediaEval Benchmarking Initiative for Multimedia Evaluation,
- 2014-10-17; in: "Working Notes Proceedings of the MediaEval 2014 Workshop",
This paper describes the e orts of Vienna University of Technology (TUW) in the MediaEval 2014 Retrieving Diverse Social Images challenge. Our approach consisted of 3 steps: (1)
a pre-filtering based on Machine Learning, (2) a re-ranking
based on Word2Vec, and (3) a clustering part based on an
ensemble of clusters. Our best run reached a F@20 of 0.564.
image, retrieval, word2vec
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.