Best Student Paper Award @ IEEE ICME 2017
- © FG NUE
We are delighted to announce that our paper "Steered mixture-of-experts for light field coding, depth estimation, and processing" won the Best Student Paper Award at the IEEE International Conference on Multimedia and Expo, 10.07.2017 - 14.07.2017. Congratulations to Ruben Verhack and the co-authors.
Steered mixture-of-experts for light field coding, depth estimation, and processing 
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 un- derlying 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 do- main. 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 develop- ment along the spatial and disparity dimensions.
Applications presented include light field coding, depth estimation, edge detection, segmentation, and view interpo- lation. The representation is compact, which allows for very efficient compression yielding state-of-the-art coding results for low bit-rates. Furthermore, due to the statistical represen- tation, 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.