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dc.contributor.authorDemirtas, K.en_US
dc.contributor.authorCicekli, N. K.en_US
dc.contributor.authorCicekli, I.en_US
dc.date.accessioned2016-02-08T09:55:33Z
dc.date.available2016-02-08T09:55:33Z
dc.date.issued2010en_US
dc.identifier.issn0165-5515
dc.identifier.urihttp://hdl.handle.net/11693/22101
dc.description.abstractIn this paper, we propose automatic categorization and summarization of documentaries using subtitles of videos. We propose two methods for video categorization. The first makes unsupervised categorization by applying natural language processing techniques on video subtitles and uses the WordNet lexical database and WordNet domains. The second has the same extraction steps but uses a learning module to categorize. Experiments with documentary videos give promising results in discovering the correct categories of videos. We also propose a video summarization method using the subtitles of videos and text summarization techniques. Significant sentences in the subtitles of a video are identified using these techniques and a video summary is then composed by finding the video parts corresponding to these summary sentences. © 2010 The Author(s).en_US
dc.language.isoEnglishen_US
dc.source.titleJournal of Information Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1177/0165551510382070en_US
dc.subjectText summarizationen_US
dc.subjectVideo categorizationen_US
dc.subjectVideo summarizationen_US
dc.subjectWordNet domainsen_US
dc.subjectAutomatic categorizationen_US
dc.subjectLearning modulesen_US
dc.subjectLexical databaseen_US
dc.subjectNatural language processingen_US
dc.subjectText summarizationen_US
dc.titleAutomatic categorization and summarization of documentariesen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage671en_US
dc.citation.epage689en_US
dc.citation.volumeNumber36en_US
dc.citation.issueNumber6en_US
dc.identifier.doi10.1177/0165551510382070en_US
dc.publisherSage Publications Ltd.en_US


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