TU Berlin

Fachgebiet NachrichtenübertragungICME Best Paper Award 2017

Inhalt des Dokuments

zur Navigation

Best Student Paper Award @ IEEE ICME 2017


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.



Schnellnavigation zur Seite über Nummerneingabe