Recently, semantic image retrieval has attracted large amount of interest due to the rapid growth of digital image storage. However, existing approaches have severe limitations. I...
A recent trend in digital mammography are Computer-Aided Diagnosis systems, which are computerised tools designed to assist radiologists. Most of these systems are used for the au...
This paper proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel ...
Yung-Yu Chuang, Brian Curless, David Salesin, Rich...
We propose a new model for zooming digital image. This model, driven by a partial differential equation, will balance between linear zooming on homogenous zones to anisotropic dif...
Current face image retrieval methods achieve impressive results, but lack efficient ways to refine the search, particularly for geometric face attributes. Users cannot easily ...