Abstract
Recently, the intellectual property and information retrieval communities have shown increasing interest in image retrieval, which could augment the current practices of patent search. In this context, this article presents PatMedia search engine, which is capable of retrieving patent images in content-based manner. PatMedia is evaluated both by presenting results considering information retrieval metrics, as well as realistic patent search scenarios. © 2012 Springer-Verlag.
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Vrochidis, S., Moumtzidou, A., Ypma, G., & Kompatsiaris, I. (2012). PatMedia: Augmenting patent search with content-based image retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7356 LNCS, pp. 109–112). https://doi.org/10.1007/978-3-642-31274-8_9
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