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The recent boom in the field of virtual and augmented reality has dramatically increased the prevalence of spherical video. Given the enormous amount of data consumed by spherical video, it is critical to achieve efficient compression for storage and transmission. Prevalent approaches simply project (via different geometries) the spherical video onto planes for processing with traditional 2D video...
This paper considers near optimal design of predictive compression system that accounts for packet loss over unreliable networks. Major challenges to address include, propagation of errors due to packet loss through the prediction loop, mismatch between statistics used for design and during operation, and above all a cost function that is fraught with poor local minima. Accurately estimating and minimizing...
We propose an algorithm to track moving cells and microbes in a video. A major challenge in tracking living cells is that their movement is often nonlinear which causes problems in case of approaches using the generic particle filter (GPF) framework. In order to overcome this problem, we propose the use of an auxiliary particle filtering (APF) algorithm with dynamic variance adaptation of the posterior...
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