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dc.contributor.authorSharma, Nabin
dc.contributor.authorMandal, Ranju
dc.contributor.authorSharma, Rabi
dc.contributor.authorPal, Umapada
dc.contributor.authorBlumenstein, Michael
dc.date.accessioned2017-06-21T01:46:43Z
dc.date.available2017-06-21T01:46:43Z
dc.date.issued2015
dc.identifier.issn1520-5363
dc.identifier.doi10.1109/ICDAR.2015.7333950
dc.identifier.urihttp://hdl.handle.net/10072/340499
dc.description.abstractThis paper presents the final results of the ICDAR 2015 Competition on Video Script Identification. A description and performance of the participating systems in the competition are reported. The general objective of the competition is to evaluate and benchmark the available methods on word-wise video script identification. It also provides a platform for researchers around the globe to particularly address the video script identification problem and video text recognition in general. The competition was organised around four different tasks involving various combinations of scripts comprising tri-script and multi-script scenarios. The dataset used in the competition comprised ten different scripts. In total, six systems were received from five participants over the tasks offered. This report details the competition dataset specifications, evaluation criteria, summary of the participating systems and their performance across different tasks. The systems submitted by Google Inc. were the winner of the competition for all the tasks, whereas the systems received from Huazhong University of Science and Technology (HUST) and Computer Vision Center (CVC) were very close competitors.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States of America
dc.relation.ispartofconferencename13th IAPR International Conference on Document Analysis and Recognition (ICDAR)
dc.relation.ispartofconferencetitle2015 13TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR)
dc.relation.ispartofdatefrom2015-08-23
dc.relation.ispartofdateto2015-08-26
dc.relation.ispartoflocationNancy, FRANCE
dc.relation.ispartofpagefrom1196
dc.relation.ispartofpagefrom5 pages
dc.relation.ispartofpageto1200
dc.relation.ispartofpageto5 pages
dc.relation.ispartofedition1st
dc.subject.fieldofresearchArtificial intelligence not elsewhere classified
dc.subject.fieldofresearchcode460299
dc.titleICDAR2015 Competition on Video Script Identification (CVSI 2015)
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.hasfulltextNo Full Text
gro.griffith.authorMandal, Ranju


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    Contains papers delivered by Griffith authors at national and international conferences.

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