|Conference/Proceedings||IEEE International Conference on Multimedia and Expo|
|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|
|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.
|Key words||light field coding, depth estimation, light field representations, mixture-of-experts, mixture models|