A Multicue Bayesian State Estimator for Gaze Prediction in Open Signed Video

White Paper WHP 165 July 2008 A multi - cue bayesian state estimator for gaze prediction in open signed video

On most delivery platforms, bandwidth or bit-rate is limited; it thus becomes important to match the quality of compression coding used for any service to the particular service needs. An approach to compression which preferentially assigns values of precedence to the “salient” elements of a scene offers a potential route to more efficient or successful coding especially in bit-rate scarce deli...

An assessment of Bayesian bias estimator for numerical weather prediction

Various statistical methods are used to process operational Numerical Weather Prediction (NWP) products with the aim of reducing forecast errors and they often require sufficiently large training data sets. Generating such a hindcast data set for this purpose can be costly and a well designed algorithm should be able to reduce the required size of these data sets. This issue is investigated wit...

Non-Parametric Bayesian State Space Estimator for Negative Information

Simultaneous Localization and Mapping (SLAM) is concerned with the development of filters to accurately and efficiently infer the state parameters (position, orientation, etc.) of an agent and aspects of its environment, commonly referred to as the map. A mapping system is necessary for the agent to achieve situatedness, which is a precondition for planning and reasoning. In this work, we consi...

Gaze Visualization for Immersive Video

In contrast to traditional video, immersive video allows viewers to interactively control their field of view in a 360ı panoramic scene. However, established methods for the comparative evaluation of gaze data for video require that all participants observe the same viewing area. We therefore propose new specialized visualizations and a novel visual analytics framework for the combined analysis...

Bayesian Prediction in Spatial Data Analysis