@InProceedings{HongxingGao2014,
author="Hongxing Gao
and Mar{\c{c}}al Rusi{\~n}ol
and Dimosthenis Karatzas
and Josep Llados",
title="Fast Structural Matching for Document Image Retrieval through Spatial Databases",
booktitle="Document Recognition and Retrieval XXI",
year="2014",
volume="9021",
optkeywords="Document image retrieval",
optkeywords="distance transform",
optkeywords="MSER",
optkeywords="spatial database",
abstract="The structure of document images plays a signicant role in document analysis thus considerable eorts have been made towards extracting and understanding document structure, usually in the form of layout analysis approaches. In this paper, we rst employ Distance Transform based MSER (DTMSER) to eciently extract stable document structural elements in terms of a dendrogram of key-regions. Then a fast structural matching method is proposed to query the structure of document (dendrogram) based on a spatial database which facilitates the formulation of advanced spatial queries. The experiments demonstrate a signicant improvement in a document retrieval scenario when compared to the use of typical Bag of Words (BoW) and pyramidal BoW descriptors.",
optnote="DAG; 600.056; 600.061; 600.077",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2496), last updated on Thu, 10 Nov 2016 12:17:16 +0100",
doi="10.1117/12.2042458",
file=":http://refbase.cvc.uab.es/files/GRK2014.pdf:PDF"
}