Comparison and combination of two novel commercial detection methods

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dc.citation.epage1270en_US
dc.citation.spage1267en_US
dc.contributor.authorDuygulu, Pınaren_US
dc.contributor.authorChen, M.-Y.en_US
dc.contributor.authorHauptmann, A.en_US
dc.coverage.spatialTaipei, Taiwan
dc.date.accessioned2016-02-08T11:52:50Z
dc.date.available2016-02-08T11:52:50Z
dc.date.issued2004-06en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 27-30 June 2004
dc.descriptionConference name: IEEE International Conference on Multimedia and Expo (ICME), 2004
dc.description.abstractDetection and removal of commercials plays an important role when searching for important broadcast news video material. In this study, two novel approaches are proposed based on two distinctive characteristics of commercials, namely, repetitive use of commercials over time and distinctive color and audio features. Furthermore, proposed strategies for combining the results of the two methods yield even better performance. Experiments show over 90% recall and precision on a test set of 5 hours of ABC and CNN broadcast news data.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:52:50Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2004en
dc.identifier.doi10.1109/ICME.2004.1394454en_US
dc.identifier.urihttp://hdl.handle.net/11693/27417en_US
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICME.2004.1394454
dc.source.titleIEEE International Conference on Multimedia and Expo (ICME), 2004en_US
dc.subjectAlgorithmsen_US
dc.subjectHeuristic methodsen_US
dc.subjectImage analysisen_US
dc.subjectMathematical modelsen_US
dc.subjectPattern matchingen_US
dc.subjectVectorsen_US
dc.subjectWeb browsersen_US
dc.subjectCommercial detection methodsen_US
dc.subjectHeuristic pattern matchingen_US
dc.subjectVideo materialsen_US
dc.subjectBroadcastingen_US
dc.titleComparison and combination of two novel commercial detection methodsen_US
dc.typeConference Paperen_US

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