Interactive Document Retrieval and Classification

Oriol Ramos, Joan Mas, Marçal Rossinyol

    Research output: Contribution to journalArticleResearchpeer-review


    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. © Springer-Verlag Berlin Heidelberg 2013.
    Original languageEnglish
    Pages (from-to)17-30
    JournalIntelligent Systems Reference Library
    Publication statusPublished - 21 Oct 2013


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