Special Issue Article Open Access

Automatic Face Identification Ofcharacterin Movie by Ecgm

Abstract

Automatic face name identification in videos has drawn significant research interests and led to many interesting applications in video content understanding and organization. Facename identification in videos is more difficult that in images. It is a difficult process due to the huge variation in the appearance of various face expression of particular person in video. In this paper we investigate this problem byintroducing two types of approaches.Error correcting graph matching algorithm for face name identification used to match face graph from video and name graph from script of the video,Sensitivity analyses for co-occurrence relationship for face and name performed by coverage noise and intensity noise.As an application this proposed workis able to create a new experience on face name identification in videos.

G.Vivitha, E.Revathi, C.Balasubramanian

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