Eulerian Video Magnification and Analysis
We present Eulerian Video Magnification, a computational technique for visualizing subtle color and motion variations in ordinary videos by making the variations larger.
William T. Freeman
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Technical Perspective: A Perfect ‘Match’
In a breakthrough contribution, the authors of the paper that follows have developed an efficient way to find approximate nearest neighbors for the case of database patches within image data.
Nonparametric Belief Propagation
Probabilistic graphical models and algorithms for approximate inference have proven to be powerful tools in a wide range of applications in statistics and AI. However, applying these methods to models with continuous variables remains a challenging task.
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