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.
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Tiwari, A., Bansal, V.: PATSEEK: Content Based Image Retrieval System for Patent Database. In: Proc. International Conference on Electronic Business 2004, Beijing, China (2004)
Vrochidis, S., Papadopoulos, S., Moumtzidou, A., Sidiropoulos, P., Pianta, E., Kompatsiaris, I.: Towards Content-based Patent Image Retrieval; A Framework Perspective. World Patent Information Journal 32(2), 94–106 (2010)
Sidiropoulos, P., Vrochidis, S., Kompatsiaris, I.: Content-Based Retrieval of Complex Binary Images. In: Proc. of CBMI 2010, Grenoble, France, June 23-25, pp. 182–187 (2010)
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© 2012 Springer-Verlag Berlin Heidelberg
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Vrochidis, S., Moumtzidou, A., Ypma, G., Kompatsiaris, I. (2012). PatMedia: Augmenting Patent Search with Content-Based Image Retrieval. In: Salampasis, M., Larsen, B. (eds) Multidisciplinary Information Retrieval. IRFC 2012. Lecture Notes in Computer Science, vol 7356. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31274-8_9
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DOI: https://doi.org/10.1007/978-3-642-31274-8_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31273-1
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