In this paper we explore the performance of a generic, unified framework for the retrieval of relevant and diverse images from social photo collections. The approach allows for the easy evaluation of different visual and textual image descriptions, clustering algorithms, and similarity metrics. Preliminary results show strong dependance between the choice of underlying technology and similarity metric, and the achieved performance.
M. Zaharieva, P. Schwab: "A Unified Framework for Retrieving Diverse Social Images"; Talk: MediaEval 2014, Barcelona; 10-16-2014 - 10-17-2014; in: "CEUR Workshop Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop", vol-1263 (2014), ISSN: 1613-0073; 2 pages.
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