Finding people frequently appearing in news

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dc.citation.epage182en_US
dc.citation.spage173en_US
dc.contributor.authorÖzkan, Deryaen_US
dc.contributor.authorDuygulu, Pınaren_US
dc.coverage.spatialTempe, AZ, USA
dc.date.accessioned2016-02-08T11:48:56Z
dc.date.available2016-02-08T11:48:56Z
dc.date.issued2006-07en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 13-15 July, 2006
dc.descriptionConference name: 5th International Conference on Image and Video Retrieval, CIVR 2006: Image and Video Retrieval
dc.description.abstractWe propose a graph based method to improve the performance of person queries in large news video collections. The method benefits from the multi-modal structure of videos and integrates text and face information. Using the idea that a person appears more frequently when his/her name is mentioned, we first use the speech transcript text to limit our search space for a query name. Then, we construct a similarity graph with nodes corresponding to all of the faces in the search space, and the edges corresponding to similarity of the faces. With the assumption that the images of the query name will be more similar to each other than to other images, the problem is then transformed into finding the densest component in the graph corresponding to the images of the query name. The same graph algorithm is applied for detecting and removing the faces of the anchorpeople in an unsupervised way. The experiments are conducted on 229 news videos provided by NIST for TRECVID 2004. The results show that proposed method outperforms the text only based methods and provides cues for recognition of faces on the large scale. © Springer-Verlag Berlin Heidelberg 2006.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:48:56Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006en
dc.identifier.doi10.1007/11788034_18en_US
dc.identifier.urihttp://hdl.handle.net/11693/27259
dc.language.isoEnglishen_US
dc.publisherSpringeren_US
dc.relation.isversionofhttps://doi.org/10.1007/11788034_18en_US
dc.source.titleCIVR: International Conference on Image and Video Retrieval. Image and Video Retrieval 5th International Conference, CIVR 2006,en_US
dc.subjectAlgorithmsen_US
dc.subjectFace recognitionen_US
dc.subjectGraph theoryen_US
dc.subjectImage analysisen_US
dc.subjectSpeech recognitionen_US
dc.subjectFace informationen_US
dc.subjectGraph algorithmen_US
dc.subjectNews videosen_US
dc.subjectSpeech transcript texten_US
dc.subjectMultimedia systemsen_US
dc.titleFinding people frequently appearing in newsen_US
dc.typeConference Paperen_US

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