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International Research Journal of Engineering and Technology (IRJET)
Celebrity face labeling in web videos is huge and challenging task because of large deviation in the appearance of person or celebrity in the web videos. This work explores the problem of missing name and missing faces in unconstrained videos with user created metadata. Instead of depending upon supervised learning, a better relationship built from content of video, those relationship includes arrival of faces in different spatio-temporal contexts and visual similarities between faces. Thefatcat:3yehwihrdnfsbahjtsxtkexmxe