conference paper


Conference/ProceedingsIEEE International Conference on Multimedia and Expo
Start date10.07.2017
End date14.07.2017
Pages1183-1188
Author(s)Ruben Verhack, Thomas Sikora, Lieven Lange, Rolf Jongebloed, Glenn Van Wallendael, Peter Lambert
Title[Best Student Paper] STEERED MIXTURE-OF-EXPERTS FOR LIGHT FIELD CODING, DEPTH ESTIMATION, AND PROCESSING
AbstractThe 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.
Key wordslight field coding, depth estimation, light field representations, mixture-of-experts, mixture models
NoteISBN:978-1-5090-6067-2/17
File1520Verhack2017.pdf

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