Our research focuses on creating and executing large-scale scientific workflows that often involve thousands of computations over distributed, shared resources. We describe an app...
Jihie Kim, Ewa Deelman, Yolanda Gil, Gaurang Mehta...
In this paper we introduce a novel method to detect and
localize abnormal behaviors in crowd videos using Social
Force model. For this purpose, a grid of particles is placed
ove...
This paper presents a novel approach for reconstructing free-form, texture-mapped, 3D scene models from a single painting or photograph. Given a sparse set of user-specified const...
Li Zhang, Guillaume Dugas-Phocion, Jean-Sebastien ...
Motion based video indexing is an important and active research area in content-based video retrieval. It explores the dynamic characteristics of video content and provides techni...
This paper presents the concept of pluggable parallelisation that allows scientists to develop “sequential like” codes that can take advantage of multi-core, cluster and grid ...