Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
J. Palotti, N. Rekabsaz, M. Lupu, A. Hanbury:
"TUW @ Retrieving Diverse Social Images Task 2014";
Vortrag: MediaEval Benchmarking Initiative for Multimedia Evaluation,
Barcelona, ES;
16.10.2014
- 17.10.2014; in: "Working Notes Proceedings of the MediaEval 2014 Workshop",
CEUR-WS,
Vol-1263
(2014),
ISSN: 1613-0073.
Kurzfassung englisch:
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.
Schlagworte:
image, retrieval, word2vec
Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/PubDat_235956.pdf