Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Handbook of Face Recognition
Face Recognition with Image Sets Using Manifold Density Divergence
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Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
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
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
Semi-supervised cast indexing for feature-length films
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Robust face alignment based on hierarchical classifier network
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
Robust head tracking with particles based on multiple cues fusion
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
Detection and representation of scenes in videos
IEEE Transactions on Multimedia
THU-ICRC at rush summarization of TRECVID 2007
Proceedings of the international workshop on TRECVID video summarization
Video summarization by redundancy removing and content ranking
Proceedings of the 15th international conference on Multimedia
Dynamic video summarization using two-level redundancy detection
Multimedia Tools and Applications
Character identification in feature-length films using global face-name matching
IEEE Transactions on Multimedia
VisualCor system: search actor correlations in TV series
Proceedings of the First International Conference on Internet Multimedia Computing and Service
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Cast indexing is an important video mining technique which provides audience the capability to efficiently retrieve interested scenes, events, and stories from a long video. This paper proposes a novel cast indexing approach based on Normalized Graph Cuts (NCuts) and Page Ranking. The system first adopts face tracker to group face images in each shot into face sets, and then extract local SIFT feature as the feature representation. There are two key problems for cast indexing. One is to find an optimal partition to cluster face sets into main cast. The other is how to exploit the latent relationships among characters to provide a more accurate cast ranking. For the first problem, we model each face set as a graph node, and adopt Normalized Graph Cuts (NCuts) to realize an optimal graph partition. A novel local neighborhood distance is proposed to measure the distance between face sets for NCuts, which is robust to outliers. For the second problem, we build a relation graph for characters by their co-occurrence information, and then adopt the PageRank algorithm to estimate the Important Factor (IF) of each character. The PageRank IF is fused with the content based retrieval score for final ranking. Extensive experiments are carried out on movies, TV series and home videos. Promising results demonstrate the effectiveness of proposed methods.