TY  - CHAP
AU  - Ernest Valveny
AU  - Oriol Ramos Terrades
AU  - Joan Mas
AU  - Marçal Rusiñol
ED  - Angel Sappa
ED  - Jordi Vitria
PY  - 2013//
TI  - Interactive Document Retrieval and Classification.
BT  - Multimodal Interaction in Image and Video Applications
SP  - 17
EP  - 30
VL  - 48
PB  - Springer Berlin Heidelberg
N2  - 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.
SN  - 1868-4394
SN  - 978-3-642-35931-6
UR  - http://link.springer.com/chapter/10.1007%2F978-3-642-35932-3_2
L1  - http://refbase.cvc.uab.es/files/VRM2013.pdf
UR  - http://dx.doi.org/10.1007/978-3-642-35932-3_2
N1  - DAG
ID  - Ernest Valveny2013
ER  -