The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...
Many modern database applications require content-based similarity search capability in numeric attribute space. Further, users' notion of similarity varies between search se...
In this paper, we propose a novel thick slab paradigm which provides an efficient scheme to navigate through large three dimensional (3-D) medical data sets within the framework o...
S. V. Bharath Kumar, Sudipta Mukhopadhyay, Vishram...
This paper proposes a generic method for action recognition
in uncontrolled videos. The idea is to use images
collected from the Web to learn representations of actions
and use ...
Nazli Ikizler-Cinbis, R. Gokberk Cinbis, Stan Scla...