Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Detection of regions matching specified chromatic features
Computer Vision and Image Understanding
Locating human faces in photographs
International Journal of Computer Vision
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer and Robot Vision
Computer Vision
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Face Detection With Information-Based Maximum Discrimination
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
LAFTER: Lips and Face Real-Time Tracker
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recognition of Planar Object Classes
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A highly efficient system for automatic face region detection in MPEG video
IEEE Transactions on Circuits and Systems for Video Technology
Content-based attention ranking using visual and contextual attention model for baseball videos
IEEE Transactions on Multimedia - Special issue on integration of context and content
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This paper presents a face detection technique and its applications in image retrieval. Even though this face detection method has relatively high false positives and low detection rate (as compared with the dedicated face detection systems in the literature of image understanding), due to its simple and fast nature, it has been shown that this system may be well applied in image retrieval in certain focused application domains. Two application examples are given: one combining face detection with indexed collateral text for image retrieval regarding human beings, and the other combining face detection with conventional similarity matching techniques for image retrieval with similar background. Experimental results show that our proposed approaches have significantly improved the image retrieval precisions than the existing search engines in these focused application domains.