Texture classification using texture spectrum
Pattern Recognition
Digital video processing
A society of models for video and image libraries
IBM Systems Journal
Visual Image Retrieval by Elastic Matching of User Sketches
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visually Searching the Web for Content
IEEE MultiMedia
Finding Pictures of Objects in Large Collections of Images
ECCV '96 Proceedings of the International Workshop on Object Representation in Computer Vision II
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume I - Volume I
On Image Classification: City vs. Landscape
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Information Theory and Face Detection
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
Retrieval of Still Images by Content
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
An interface to retrieve personal memories using an iconic visual language
Transactions on edutainment V
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Learning visual concepts is an important tool for automatic annotation and visual querying of networked multimedia databases. It allows the user to express queries in his own vocabulary instead of the computer's vocabulary. This paper gives an overview of our current research directions in learning visual concepts for use in our online visual webcrawler, ImageScape. We discuss using the Kullback relative information for finding the most informative features in the case of human faces and generalize the method to other objects/concepts.