TY  - CONF
AU  - Hongxing Gao
AU  - Marçal Rusiñol
AU  - Dimosthenis Karatzas
AU  - Josep Llados
A2  - ICPR
PY  - 2014//
TI  - Embedding Document Structure to Bag-of-Words through Pair-wise Stable Key-regions
BT  - 22nd International Conference on Pattern Recognition
SP  - 2903
EP  - 2908
N2  - Since the document structure carries valuable discriminative information, plenty of efforts have been made for extracting and understanding document structure among which layout analysis approaches are the most commonly used. In this paper, Distance Transform based MSER (DTMSER) is employed to efficiently extract the document structure as a dendrogram of key-regions which roughly correspond to structural elements such as characters, words and paragraphs. Inspired by the Bagof Words (BoW) framework, we propose an efficient method for structural document matching by representing the document image as a histogram of key-region pairs encoding structural relationships.Applied to the scenario of document image retrieval, experimental results demonstrate a remarkable improvement when comparing the proposed method with typical BoW and pyramidal BoW methods.
L1  - http://refbase.cvc.uab.es/files/GRK2014b.pdf
UR  - http://dx.doi.org/10.1109/ICPR.2014.500
N1  - DAG; 600.056; 600.061; 600.077
ID  - Hongxing Gao2014
ER  -