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CVPR
2003
IEEE
14 years 9 months ago
Video-Based Face Recognition Using Adaptive Hidden Markov Models
While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. In this paper, we propose to use adaptive...
Xiaoming Liu 0002, Tsuhan Chen
FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
13 years 9 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
CRV
2007
IEEE
159views Robotics» more  CRV 2007»
14 years 1 months ago
Automatic Detection and Clustering of Actor Faces based on Spectral Clustering Techniques
We describe a video indexing system that aims at indexing large video files in relation to the presence of similar faces. The detection of near-frontal view faces is done with a c...
Samuel Foucher, Langis Gagnon
IJCAI
1997
13 years 8 months ago
Name-It: Naming and Detecting Faces in Video by the Integration of Image and Natural Language Processing
We have been developing Name-It, a system that associates faces and names in news videos. First, as the only knowledge source, the system is given news videos which include image ...
Shin'ichi Satoh, Yuichi Nakamura, Takeo Kanade
ICIP
2007
IEEE
14 years 1 months ago
Locally Competitive Algorithms for Sparse Approximation
Practical sparse approximation algorithms (particularly greedy algorithms) suffer two significant drawbacks: they are difficult to implement in hardware, and they are inefficie...
Christopher J. Rozell, Don H. Johnson, Richard G. ...