Bilkent-RETINA at retrieving diverse social images task of MediaEval 2014
Author
Saraç, Mustafa İlker
Duygulu Pınar
Date
2014-10Source Title
CEUR Workshop Proceedings
Publisher
CEUR-WS
Language
English
Type
Conference PaperItem Usage Stats
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Abstract
This paper explains the approach proposed by Bilkent - RETINA team for the Retrieving Diverse Social Images task of MediaEval 2014 [1]. We develop a framework which rst removes outliers using one-class support vector machines (SVM) to improve relevance. Second it clusters the eliminated set and retrieves the centroids to diversify the results. We tried to exploit visual only features during our experiments. For the rst run we used the provided visual features and for the second run we used well known visual features like SIFT [2] and GIST [4].