Data prefetching for smooth navigation of large scale JPEG 2000 images

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 smoothness while minimizing the network resources used. In this paper, we present a model taking advantage of the JPEG 2000 scalability combined with a prefetching policy. The model uses the last user action to efficiently manage the cache and to prefetch the most probable data to be used next. Three different network configurations are considered. In each case, comparison with two more classic policies shows the improvement brought by our approach.