untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd>
<responseDate>2018-01-15T18:21:38Z</responseDate>
<request identifier=oai:HAL:hal-01374376v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request>
<GetRecord>
<record>
<header>
<identifier>oai:HAL:hal-01374376v1</identifier>
<datestamp>2018-01-11</datestamp>
<setSpec>type:COMM</setSpec>
<setSpec>subject:info</setSpec>
<setSpec>collection:CNRS</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:EC-NANTES</setSpec>
<setSpec>collection:IRCCYN</setSpec>
<setSpec>collection:UNAM</setSpec>
<setSpec>collection:UNIV-NANTES</setSpec>
<setSpec>collection:IRCCYN-IVC</setSpec>
</header>
<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment</title>
<creator>Chen, Zhaoxin</creator>
<creator>Anquetil, Eric</creator>
<creator>Mouchère, Harold</creator>
<creator>Viard-Gaudin, Christian</creator>
<contributor>Institut National des Sciences Appliquées - Rennes (INSA Rennes)</contributor>
<contributor>Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN) ; Mines Nantes (Mines Nantes) - École Centrale de Nantes (ECN) - Ecole Polytechnique de l'Université de Nantes - PRES Université Nantes Angers Le Mans [UNAM] - Centre National de la Recherche Scientifique (CNRS)</contributor>
<description>International audience</description>
<source>International Conference on Frontiers in Handwriting Recognition (ICFHR)</source>
<coverage>Shenzhen, China</coverage>
<identifier>hal-01374376</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01374376</identifier>
<source>https://hal.univ-antilles.fr/hal-01374376</source>
<source>International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. 2016</source>
<language>en</language>
<subject lang=en>multiple users</subject>
<subject lang=en>Multi-touch</subject>
<subject lang=en>handwritten diagram</subject>
<subject lang=en>stroke grouping</subject>
<subject>[INFO] Computer Science [cs]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>We propose in this paper a new online Multi-UserMulti-Touch handwritten diagram DataBase (MUMTDB) forevaluating recognition systems under the multi-user situation.The data is collected according to two predefined mind mapscenarios which contains 9 classes of graphical symbols. Eachscenario is completed by involving two users at the same time.Since the users are given freedom to draw the symbols asthey want, the dataset contains a diversity of multi-stroke andeven multi-touch symbols. It allows addressing new challengingproblems regarding the recognition of simultaneous composition of structured documents. The dataset is freely availableon-line.</description>
<date>2016-10-23</date>
</dc>
</metadata>
</record>
</GetRecord>
</OAI-PMH>
