Abstract
In this chapter we describe a system for document retrieval and classification following the interactive-predictive framework. In particular, the system addresses two different scenarios of document analysis: document classification based on visual appearance and logo detection. These two classical problems of document analysis are formulated following the interactive-predictive model, taking the user interaction into account to make easier the process of annotating and labelling the documents. A system implementing this model in a real scenario is presented and analyzed. This system also takes advantage of active learning techniques to speed up the task of labelling the documents.
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© 2013 Springer-Verlag Berlin Heidelberg
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Valveny, E., Ramos, O., Mas, J., Rossinyol, M. (2013). Interactive Document Retrieval and Classification. In: Multimodal Interaction in Image and Video Applications. Intelligent Systems Reference Library, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35932-3_2
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DOI: https://doi.org/10.1007/978-3-642-35932-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35931-6
Online ISBN: 978-3-642-35932-3
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