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Visual-based classification of figures from scientific literature

Authors of scientific publications and books use images to present a wide spectrum of information. Despite the richness of the visual content of scientific publications the figures are usually not taken into consideration in the context of text mining methodologies towards the automatic indexing and retrieval of scientific corpora. In this work, we present a system for automatic categorization of figures from scientific literature to a set of predefined classes. We have employed a wide range of visual features that achieve high discrimination ability between the adopted classes. A real-world dataset has been compiled and annotated in order to train and evaluate the proposed method using three different classification schemata.

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Theodoros Giannakopoulos, Yannis Foufoulas, Eleftherios Stamatogiannakis, Harry Dimitropoulos, Natalia Manola, Yannis Ioannidis, "Visual-based classification of figures from scientific literature ", In Proceedings of the 24th International Conference on World Wide Web Companion (pp. 1059-1060). International World Wide Web Conferences Steering Committee., 2015
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WWW '15 Companion Proceedings of the 24th International Conference on World Wide Web Pages 1059-1060
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