Interactive document retrieval and classification


Abstract:

In this chapter we describe a system for document retrieval and classification following the interactive-pbkp_redictive 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-pbkp_redictive 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.

Año de publicación:

2013

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Ciencias de la computación

    Áreas temáticas:

    • Funcionamiento de bibliotecas y archivos
    • Escuelas y sus actividades; educación especial
    • Lingüística

    Contribuidores: