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Title: Cast2Face: Character identification in movie with actor-character correspondence
Authors: Xu, M.
Yuan, X. 
Shen, J.
Yan, S. 
Keywords: cast analysis
character identification
face recognition
multi-task learning
video summarization
Issue Date: 2010
Citation: Xu, M.,Yuan, X.,Shen, J.,Yan, S. (2010). Cast2Face: Character identification in movie with actor-character correspondence. MM'10 - Proceedings of the ACM Multimedia 2010 International Conference : 831-834. ScholarBank@NUS Repository.
Abstract: We investigate the problem of automatically identifying characters in a movie with the supervision of actor-character name correspondence provided by the movie cast. Our proposed framework, namely Cast2Face, is featured by: (i) we restrict the names to assign within the set of character names in the cast; (ii) for each character, by using the corresponding actor's name as a key word, we retrieve from Google image search a group of face images to form the gallery set; and (iii) the probe face tracks in the movie are then identified as one of the actors by robust multi-task joint sparse representation and classification method. The assigned actor name on a face track is then mapped to the character name based on the cast again. In addition to face naming, we further apply the proposed method to spotlights summarization of a particular actor in his/her movies. Empirical evaluations on several feature-length movies demonstrate the satisfying performance of our method. © 2010 ACM.
Source Title: MM'10 - Proceedings of the ACM Multimedia 2010 International Conference
ISBN: 9781605589336
DOI: 10.1145/1873951.1874090
Appears in Collections:Staff Publications

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