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		<titleInfo>
			<title>Automatic text localisation in scanned comic books</title>
		</titleInfo>
		<name type="personal">
			<namePart type="family">Christophe Rigaud</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<name type="personal">
			<namePart type="family">Dimosthenis Karatzas</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<name type="personal">
			<namePart type="family">Joost Van de Weijer</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<name type="personal">
			<namePart type="family">Jean-Christophe Burie</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<name type="personal">
			<namePart type="family">Jean-Marc Ogier</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<originInfo>
			<dateIssued>2013</dateIssued>
		</originInfo>
		<abstract>Comic books constitute an important cultural heritage asset in many countries. Digitization combined with subsequent document understanding enable direct content-based search as opposed to metadata only search (e.g. album title or author name). Few studies have been done in this direction. In this work we detail a novel approach for the automatic text localization in scanned comics book pages, an essential step towards a fully automatic comics book understanding. We focus on speech text as it is semantically important and represents the majority of the text present in comics. The approach is compared with existing methods of text localization found in the literature and results are presented.</abstract>
		<subject>
			<topic>Text localization</topic>
		</subject>
		<subject>
			<topic>comics</topic>
		</subject>
		<subject>
			<topic>text/graphic separation</topic>
		</subject>
		<subject>
			<topic>complex background</topic>
		</subject>
		<subject>
			<topic>unstructured document</topic>
		</subject>
		<note>DAG; CIC; 600.056</note>
		<note>exported from refbase (http://refbase.cvc.uab.es/show.php?record=2261), last updated on Fri, 04 Feb 2022 13:10:30 +0100</note>
		<typeOfResource>text</typeOfResource>
		<location>
			<url displayLabel="Electronic full text" access="raw object">http://refbase.cvc.uab.es/files/RKW2013b.pdf</url>
		</location>
		<identifier type="local">Admin @ si @ RKW2013b</identifier>
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			<titleInfo>
				<title>Proceedings of the International Conference on Computer Vision Theory and Applications</title>
			</titleInfo>
			<name type="conference">
				<namePart>VISAPP</namePart>
			</name>
			<originInfo>
				<dateIssued>2013</dateIssued>
			</originInfo>
			<genre authority="marcgt">conference publication</genre>
			<part>
				<extent unit="page">
					<start>814</start>
					<end>819</end>
				</extent>
			</part>
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