Haber videolarında ilgililik geribeslemesiyle içerik tabanlı erişim

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dc.contributor.authorÇavuş, Özgeen_US
dc.contributor.authorAksoy, Selimen_US
dc.coverage.spatialAntalya, Turkey
dc.date.accessioned2016-02-08T11:45:45Z
dc.date.available2016-02-08T11:45:45Z
dc.date.issued2006-04en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: 17-19 April 2006
dc.descriptionConference name: IEEE 14th Signal Processing and Communications Applications, 2006
dc.description.abstractContent-based retrieval in news video databases has become an important task with the availability of large quantities of data in both public and proprietary archives. We describe a relevance feedback technique that captures the significance of different features at different spatial locations in an image. Spatial content is modeled by partitioning images into non-overlapping grid cells. Contributions of different features at different locations are modeled using weights defined for each feature in each grid cell. These weights are iteratively updated based on user's feedback in terms of positive and negative labeling of retrieval results. Given this labeling, the weight updating scheme uses the ratios of standard deviations of the distances between relevant and irrelevant images to the standard deviations of the distances between relevant images. The proposed technique is quantitatively and qualitatively evaluated using shots related to several sports from the news video collection of the TRECVID video retrieval evaluation where the weights could capture relative contributions of different features and spatial locations. © 2006 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:45:45Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2006en
dc.identifier.doi10.1109/SIU.2006.1659767en_US
dc.identifier.urihttp://hdl.handle.net/11693/27142
dc.language.isoTurkishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2006.1659767en_US
dc.source.title2006 IEEE 14th Signal Processing and Communications Applications Conferenceen_US
dc.subjectFeedback techniqueen_US
dc.subjectRelevant imagesen_US
dc.subjectTRECVID video retrievalen_US
dc.subjectContent based retrievalen_US
dc.subjectGrid computingen_US
dc.subjectImage processingen_US
dc.subjectUser interfacesen_US
dc.subjectFeedbacken_US
dc.titleHaber videolarında ilgililik geribeslemesiyle içerik tabanlı erişimen_US
dc.title.alternativeContent-based retrieval of news videos using relevance feedbacken_US
dc.typeConference Paperen_US

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