Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Statistical modeling for content based retrieval is examined in the context of recent TREC Video benchmark exercise. The TREC Video exercise can be viewed as a test bed for evalua...
Milind R. Naphade, Sankar Basu, John R. Smith, Chi...
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...
We present a very simple and effective method for eliminating the degeneracy inherent in a planar scene, and demonstrate its performance in a useful application -- that of binocul...
In this paper, we propose a new general additive watermarking model based on the content of digital images, called as CBWM (Content-Based Watermarking Model). It provides a common...