On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Content-based trademark retrieval system using visually salient features
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Using Relevance Feedback to Learn Visual Concepts from Image Instances
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
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We present an on-line query mechanism for shape-based similarity retrieval of image databases. It successively boosts salient common features among query samples, in which weak classifiers are tuned and selected to contribute to a final strong classifier. The similarity between two shape samples was measured in statistic space of features, through which relative instead of absolute similarity was targeted for visual information retrieval. Experiments of query by the boosted features on thirty thousand trademark images showed that the retrieved results meet visual similarity of shape very well. Only 5-7 boosted featurw out of 100 or more were enough to represent subjective recognition on shape similarity.