DocumentCode :
3432494
Title :
New evaluation framework for metadata mapping approaches based on Markov models
Author :
Ben Messaoud, Ines ; Amiri, Hamid ; El Abed, Haikal ; Märgner, Volker
Author_Institution :
Lab. des Syst. et Traitement de Signal, Ecole Nat. d´´Ing. de Tunis, Tunis, Tunisia
fYear :
2012
fDate :
2-5 July 2012
Firstpage :
764
Lastpage :
769
Abstract :
Document annotation is considered as the definition of logical and physical structures of document. Several works for page layout analysis have been presented but there is no standard annotation for one document. In order to draw the relationship between these different presentations, a Mapping should be applied between different annotations. The question that should be answered is how efficient is this Mapping? We present in this paper a framework allowing the generation of a standard annotation for each document database. The description of the page layout analysis is based on XML metadata. The Mapping is applied between the standard document and a new document in order to allow the correspondence between them. The Mapping is evaluated using a proposed model based on Markov models. The results show that the probability rate for the Mapping evaluation varies from 0.6 to 1.
Keywords :
least squares approximations; mathematical analysis; nonlinear systems; spectral analysis; support vector machines; LS-SVM model; SSA; de-noised data; identification approach; least squares support vector machines; mathematical models; measurement data de-noising; nonlinear system identification; signal processing; singular spectrum analysis; Feature extraction; Hidden Markov models; Layout; Markov processes; Mathematical model; Probability; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-0381-1
Electronic_ISBN :
978-1-4673-0380-4
Type :
conf
DOI :
10.1109/ISSPA.2012.6310655
Filename :
6310655
Link To Document :
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