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, Barcelona, ES; 2014-10-16 - 2014-10-17; in: "Working Notes Proceedings of the MediaEval 2014 Workshop", CEUR-WS, Vol-1263 (2014), ISSN: 1613-0073.

English abstract:
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.