In this paper, we approach the problem of understanding human actions from still images. Our method involves representing the pose with a spatial and orientational histogramming o...
Nazli Ikizler, Pinar Duygulu, Ramazan Gokberk Cinb...
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
Remote access to large scale images arouses a growing interest in fields such as Medical Imagery or Remote Sensing. This raises the need for algorithms guaranteeing navigation sm...
Antonin Descampe, Jihong Ou, Philippe Chevalier, B...
Classifying materials from their appearance is a challenging problem, especially if illumination and pose conditions are permitted to change: highlights and shadows caused by 3D st...
Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof...
In this paper, we propose a web-based learning tool for assisting and enhancing radiology education. Central to the learning tool is our recently developed content-based image ret...
Chi-Ren Shyu, Avinash C. Kak, Carla E. Brodley, Ch...