Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
In this paper the methods we used in the 2005 ImageCLEF content-based image retrieval evaluation are described. For the medical retrieval task, we combined several low-level image ...
Thomas Deselaers, Tobias Weyand, Daniel Keysers, W...
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
We present an efficient world-scale system for providing automatic annotation on collections of geo-referenced photos. As a user uploads a photograph a place of origin is estimate...
Jim Kleban, Emily Moxley, Jiejun Xu, B. S. Manjuna...