@InProceedings{HongxingGao2013,
author="Hongxing Gao
and Mar{\c{c}}al Rusi{\~n}ol
and Dimosthenis Karatzas
and Apostolos Antonacopoulos
and Josep Llados",
title="An interactive appearance-based document retrieval system for historical newspapers",
booktitle="Proceedings of the International Conference on Computer Vision Theory and Applications",
year="2013",
pages="84--87",
abstract="In this paper we present a retrieval-based application aimed at assisting a user to semi-automatically segment an incoming flow of historical newspaper images by automatically detecting a particular type of pages based on their appearance. A visual descriptor is used to assess page similarity while a relevance feedback process allow refining the results iteratively. The application is tested on a large dataset of digitised historic newspapers.",
optnote="DAG; 600.056; 600.045; 605.203",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2290), last updated on Thu, 10 Nov 2016 11:48:19 +0100",
file=":http://refbase.cvc.uab.es/files/GRK2013a.pdf:PDF"
}