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[Best Student Paper] STEERED MIXTURE-OF-EXPERTS FOR LIGHT FIELD CODING, DEPTH ESTIMATION, AND PROCESSING
Citation key 1520Verhack2017
Author Ruben Verhack and Thomas Sikora and Lieven Lange and Rolf Jongebloed and Glenn Van Wallendael and Peter Lambert
Title of Book IEEE International Conference on Multimedia and Expo
Pages 1183–1188
Year 2017
Month jul
Note ISBN:978-1-5090-6067-2/17
Abstract The proposed framework, called Steered Mixture-of-Experts (SMoE), enables a multitude of processing tasks on light fields using a single unified Bayesian model. The underlying assumption is that light field rays are instantiations of a non-linear or non-stationary random process that can be modeled by piecewise stationary processes in the spatial domain. As such, it is modeled as a space-continuous Gaussian Mixture Model. Consequently, the model takes into account different regions of the scene, their edges, and their development along the spatial and disparity dimensions. Applications presented include light field coding, depth estimation, edge detection, segmentation, and view interpolation. The representation is compact, which allows for veryefficient compression yielding state-of-the-art coding resultsfor low bit-rates. Furthermore, due to the statistical representation, a vast amount of information can be queried from the model even without having to analyze the pixel values. This allows for “blind” light field processing and classification.
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