Abstract—Automatic face identification of characters in movies
has drawn significant research interests and led to many interesting
applications. It is a challenging problem due to the huge
variation in the appearance of each character. Although existing
methods demonstrate promising results in clean environment, the
performances are limited in complexmovie scenes due to the noises
this paper we present two schemes of global face-name matching
based framework for robust character identification. The contributions
of this work include the following. 1) A noise insensitive
character relationship representation is incorporated. 2)We introduce
an edit operation based graph matching algorithm. 3) Complex
character changes are handled by simultaneously graph partition
and graph matching. 4) Beyond existing character identification
approaches, we further perform an in-depth sensitivity analysis
by introducing two types of simulated noises. The proposed
schemes demonstrate state-of-the-art performance on movie character
identification in various genres of movies.
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