On caching and prefetching of virtual objects in distributed virtual environments
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Research in Computer and Robot Vision
Research in Computer and Robot Vision
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Automatic browsing of large pictures on mobile devices
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Motion prediction for caching and prefetching in mouse-driven DVE navigation
ACM Transactions on Internet Technology (TOIT)
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Prefetching and Caching Strategies for Remote and Interactive Browsing of JPEG2000 Images
IEEE Transactions on Image Processing
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Navigation through large digital microscopic images is a potential benefit for histology or pathology teaching, quality of diagnosis or communication between pathologists. However, the size of this kind of images is prohibitive for navigation with conventional techniques. This paper presents a navigation model which permits to anticipate the pathologist trajectories tasks when exploring virtual slides. The full strategy combines an offline model of the pathologist knowledge and a prediction online module which captures a particular pathologist navigation pattern. While optimal parameters for the offline model are calculated using an Expectation-Maximization strategy, prediction is carried out by a particle filter. Parameters are estimated from several series of actual navigations, pathologists and virtual slides. The present approach is compared with other conventional prediction methods and decreases the calculated MSE in about a 50 % for the entire group of pathologists.