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dc.contributor.authorAnantharajah, K
dc.contributor.authorDenman, S
dc.contributor.authorTjondronegoro, D
dc.contributor.authorSridharan, S
dc.contributor.authorFookes, C
dc.contributor.authorGuo, X
dc.date.accessioned2020-01-15T05:07:41Z
dc.date.available2020-01-15T05:07:41Z
dc.date.issued2013
dc.identifier.isbn9781479921263
dc.identifier.doi10.1109/DICTA.2013.6691517
dc.identifier.urihttp://hdl.handle.net/10072/390285
dc.description.abstractClustering identities in a broadcast video is a useful task to aid in video annotation and retrieval. Quality based frame selection is a crucial task in video face clustering, to both improve the clustering performance and reduce the computational cost. We present a frame work that selects the highest quality frames available in a video to cluster the face. This frame selection technique is based on low level and high level features (face symmetry, sharpness, contrast and brightness) to select the highest quality facial images available in a face sequence for clustering. We also consider the temporal distribution of the faces to ensure that selected faces are taken at times distributed throughout the sequence. Normalized feature scores are fused and frames with high quality scores are used in a Local Gabor Binary Pattern Histogram Sequence based face clustering system. We present a news video database to evaluate the clustering system performance. Experiments on the newly created news database show that the proposed method selects the best quality face images in the video sequence, resulting in improved clustering performance.
dc.publisherIEEE
dc.relation.ispartofconferencename2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
dc.relation.ispartofconferencetitle2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013
dc.relation.ispartofdatefrom2013-11-26
dc.relation.ispartofdateto2013-11-28
dc.titleQuality based frame selection for face clustering in news video
dc.typeConference output
dcterms.bibliographicCitationAnantharajah, K; Denman, S; Tjondronegoro, D; Sridharan, S; Fookes, C; Guo, X, Quality based frame selection for face clustering in news video, 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, 2013
dc.date.updated2020-01-15T05:04:28Z
dc.description.versionAccepted Manuscript (AM)en_US
gro.rights.copyright© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
gro.hasfulltextFull Text
gro.griffith.authorTjondronegoro, Dian W.


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