Near regular textures are pervasive in man-made and natural world. Their global regularity and local randomness pose new difficulties to the state of the art texture analysis and ...
Wen-Chieh Lin, James Hays, Chenyu Wu, Yanxi Liu, V...
We address the problem of scale selection in texture analysis. Two di erent scale parameters, feature scale and statistical scale, are dened. Statistical scale is the size of the r...
This paper presents a probabilistic framework for off-line multiple object tracking. At each timestep, a small set of deterministic candidates is generated which is guaranteed to ...
Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatia...
An important problem in medical imaging is that of ef?cient volumetric image compression. In addition to compression ef?ciency, scalable representations which allow access to the ...