Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Named Faces: Putting Names to Faces
IEEE Intelligent Systems
On Affine Invariant Clustering and Automatic Cast Listing in Movies
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Name-It: Association of Face and Name in Video
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Face Detection with Multi-Class Boosting
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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
Multiple instance learning for labeling faces in broadcasting news video
Proceedings of the 13th annual ACM international conference on Multimedia
Covariance Tracking using Model Update Based on Lie Algebra
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Face recognition from a single image per person: A survey
Pattern Recognition
Face recognition across pose: A review
Pattern Recognition
Character identification in feature-length films using global face-name matching
IEEE Transactions on Multimedia
Temporal video structuring for preservation and annotation of video content
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Dialogue sequence detection in movies
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Finding people frequently appearing in news
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
Face detection based on multi-block LBP representation
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Semantic queries involving image understanding aspects require the exploitation of multiple clues, namely the (inter-) relations between objects and events across multiple images, the situational context, and the application context. A prominent example for such queries is the identification of individuals in video sequences. Straightforward face recognition approaches require a model of the persons in question and tend to fail in ill-conditioned environments. Therefore, an alternative approach is to involve contextual conditions of observations in order to determine the role a person plays in the current context. Due to the strong relation between roles, persons and their identities, knowing either often allows inferring about the other. This paper presents a system that implements this approach: First, robust face detection localizes the actors in the video. By clustering similar face instances the relative frequency of their appearance within a sequence is determined. In combination with a coarse textual annotation manually created by the broadcast station's archivist the roles and consequently the identities can be assigned and labeled in the video. Starting with unambiguous assignments and cascading, most of the persons can be identified and labeled successfully. The feasibility and performance of the role-based person identification is demonstrated on the basis of several programs of a popular German TV show, which consists of various elements like interview scenes, games and musical show acts.