Cast indexing for videos by NCuts and page ranking
Proceedings of the 6th ACM international conference on Image and video retrieval
Fast unsupervised alignment of video and text for indexing/names and faces
Workshop on multimedia information retrieval on The many faces of multimedia semantics
Semantic lattices for multiple annotation of images
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
A pose-wise linear illumination manifold model for face recognition using video
Computer Vision and Image Understanding
A methodology for rapid illumination-invariant face recognition using image processing filters
Computer Vision and Image Understanding
Taking the bite out of automated naming of characters in TV video
Image and Vision Computing
Character identification in feature-length films using global face-name matching
IEEE Transactions on Multimedia
A semi-supervised support vector machine based algorithm for face recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An experimental study on content-based face annotation of photos
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Face-and-clothing based people clustering in video content
Proceedings of the international conference on Multimedia information retrieval
A video-based door monitoring system using local appearance-based face models
Computer Vision and Image Understanding
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Robust speaking face identification for video analysis
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Automatic detection and recognition of players in soccer videos
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Face recognition in smart rooms
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Dynamic captioning: video accessibility enhancement for hearing impairment
Proceedings of the international conference on Multimedia
Movie2Comics: a feast of multimedia artwork
Proceedings of the international conference on Multimedia
Cast2Face: character identification in movie with actor-character correspondence
Proceedings of the international conference on Multimedia
Learning relations among movie characters: a social network perspective
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Semantic hierarchies for image annotation: A survey
Pattern Recognition
Person re-identification in TV series using robust face recognition and user feedback
Multimedia Tools and Applications
Face recognition from video using the generic shape-illumination manifold
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Face retrieval in broadcasting news video by fusing temporal and intensity information
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Robust Video Content Analysis via Transductive Learning
ACM Transactions on Intelligent Systems and Technology (TIST)
2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
International Journal of Computer Vision
Video retrieval by mimicking poses
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Role-based identity recognition for TV broadcasts
Multimedia Tools and Applications
Online annotation of faces in personal videos by sequential learning
Multimedia Tools and Applications
Audiovisual diarization of people in video content
Multimedia Tools and Applications
Low-resolution face recognition: a review
The Visual Computer: International Journal of Computer Graphics
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The objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. This is challenging because faces in a feature-length film are relatively uncontrolled with a wide variability of scale, pose, illumination, and expressions, and also may be partially occluded. We develop a recognition method based on a cascade of processing steps that normalize for the effects of the changing imaging environment. In particular there are three areas of novelty: (i) we suppress the background surrounding the face, enabling the maximum area of the face to be retained for recognition rather than a subset; (ii) we include a pose refinement step to optimize the registration between the test image and face exemplar; and (iii) we use robust distance to a sub-space to allow for partial occlusion and expression change. The method is applied and evaluated on several feature length films. It is demonstrated that high recall rates (over 92%) can be achieved whilst maintaining good precision (over 93%).