Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
On Affine Invariant Clustering and Automatic Cast Listing in Movies
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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
Mining for video production invariants to measure style similarity: Research Articles
International Journal of Intelligent Systems
On the Use of SIFT Features for Face Authentication
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Fast unsupervised alignment of video and text for indexing/names and faces
Workshop on multimedia information retrieval on The many faces of multimedia semantics
Improved speaker diarization system for meetings
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Video shot boundary detection: Seven years of TRECVid activity
Computer Vision and Image Understanding
The IMMED project: wearable video monitoring of people with age dementia
Proceedings of the international conference on Multimedia
Finding suits in images of people
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Fusing matching and biometric similarity measures for face diarization in video
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Audiovisual diarization of people in video content
Multimedia Tools and Applications
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Content-based people clustering is a crucial step for people indexing within video documents. In this paper, we investigate the use of both face and clothing features. A method of extracting a keyface for each video sequence is proposed. An algorithm based on the average of the N-minimum pair distances between local invariant features is used in order to resolve the problem of face matching. An original method for clothing matching is proposed based on 3D histogram of the dominant color. A 3-levels hierarchical bottom-up clustering that combines local invariant features, skin color, 3D histogram and clothing texture is also described. Experiments and results show the efficiency of the proposed clustering system.