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dc.contributor.authorDuygulu, P.en_US
dc.contributor.authorHauptmann, A.en_US
dc.date.accessioned2016-02-08T10:25:12Z
dc.date.available2016-02-08T10:25:12Zen_US
dc.date.issued2004en_US
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11693/24176en_US
dc.description.abstractText retrieval from broadcast news video is unsatisfactory, because a transcript word frequently does not directly 'describe' the shot when it was spoken. Extending the retrieved region to a window around the matching keyword provides better recall, but low precision. We improve on text retrieval using the following approach: First we segment the visual stream into coherent story-like units, using a set of visual news story delimiters. After filtering out clearly irrelevant classes of shots, we are still left with an ambiguity of how words in the transcript relate to the visual content in the remaining shots of the story. Using a limited set of visual features at different semantic levels ranging from color histograms, to faces, cars, and outdoors, an association matrix captures the correlation of these visual features to specific transcript words. This matrix is then refined using an EM approach. Preliminary results show that this approach has the potential to significantly improve retrieval performance from text queries. © Springer-Verlag 2004.en_US
dc.language.isoEnglishen_US
dc.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.subjectSemanticsen_US
dc.subjectAssociation matrixen_US
dc.subjectBroadcast news videoen_US
dc.subjectColor histogramen_US
dc.subjectRetrieval performanceen_US
dc.subjectSemantic levelsen_US
dc.subjectText retrievalen_US
dc.subjectVisual contenten_US
dc.subjectVisual featureen_US
dc.subjectInformation retrievalen_US
dc.titleWhat's news, what's not? Associating news videos with wordsen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage132en_US
dc.citation.epage140en_US
dc.citation.volumeNumber3115en_US
dc.publisherSpringeren_US


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