Abstract
Recently, the intellectual property and information retrieval communities have shown interest in patent image analysis, which could augment the current practices of patent search by image classification and concept extraction. This article presents an approach for concept extraction from patent images, which relies upon recursive hybrid (text and visual-based) classification. To evaluate this approach, we selected a dataset from the footwear domain.
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© 2013 Springer-Verlag Berlin Heidelberg
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Moumtzidou, A., Vrochidis, S., Kompatsiaris, I. (2013). Concept Extraction from Patent Images Based on Recursive Hybrid Classification. In: Lupu, M., Kanoulas, E., Loizides, F. (eds) Multidisciplinary Information Retrieval. IRFC 2013. Lecture Notes in Computer Science, vol 8201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41057-4_9
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DOI: https://doi.org/10.1007/978-3-642-41057-4_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41056-7
Online ISBN: 978-3-642-41057-4
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