We propose a scheme for indoor place identication based on the recognition of global scene
views. Scene views are encoded using a holistic representation that provides low-resolu...
We study the task of detecting the occurrence of objects in large image collections or in videos, a problem that combines aspects of content based image retrieval and object locali...
One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of pathology available f...
In many situations it is convenient to represent pictorial data in the form of contours. It may become necessary to compress such contour data for efficient storage and transmissi...
A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally repres...