We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
Derek Hoiem, Rahul Sukthankar, Henry Schneiderman,...
Sub-image search with high accuracy in natural images still remains a challenging problem. This paper proposes a new feature vector called profile for a keypoint in a bag of visual...
Because digital images are not meaningful by themselves, images are often coupled with some descriptive or qualitative data in an image database. Moreover the division of these da...
Clustered microcalcifications on X-ray mammograms are an important feature in the detection of breast cancer. For the detection of the clustered microcalcifications on digitized m...
A new approach of tracking objects in image sequences is proposed, in which the constant changes of the size and orientation ofthe target can be precisely described. For each inco...