Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Automatic Face Recognition for Film Character Retrieval in Feature-Length Films
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Real-Time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Character identification in feature-length films using global face-name matching
IEEE Transactions on Multimedia
Joint covariate selection and joint subspace selection for multiple classification problems
Statistics and Computing
Major Cast Detection in Video Using Both Speaker and Face Information
IEEE Transactions on Multimedia
Dynamic social network for narrative video analysis
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Facing scalability: Naming faces in an online social network
Pattern Recognition
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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.