We’re happy to announce that we won the Best Student Paper Award at IEEE International Conference on Multimedia and Expo 2017 (ICME 2017)! Furthermore, we were also nominated for the First 10K Paper Award at the same time.
The awarded paper can be downloaded here: “Steered Mixture-of-Experts for Light Field Coding, Depth Estimation, and Processing”
About the paper
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 very efficient compression yielding state-of-the-art coding results for 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
Verhack, R., Sikora, T., Lange, L., Jongebloed, R., Van Wallendael, G., & Lambert, P. (2017). Steered mixture-of-experts for light field coding, depth estimation, and processing. In IEEE (Ed.), 2017 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1183–1188). IEEE. http://doi.org/10.1109/ICME.2017.8019442
