Masterthesises in the area of neural network based video intra prediction Maria Meyer M.Sc.

A fundamental part of each image or video coding algorithm are methods that try to predict parts of the frames or images based on the information that was coded beforehand in order to significantly reduce the redundancy. These methods can be classified into two basic categories: Inter prediction methods that use information from previous frames and intra prediction methods that only information from the local neighborhood within the same frame.
While conventional intra prediction methods determine the prediction based on a set of linear filters, some recent proposals started to use neural networks for this purpose. In particular it is possible to train a convolutional neural network (CNNs) to predict a block based on its local neighborhood and use the result as an additional prediction option in a video coder. Unlike the conventional methods, these CNNs can usually adopt to nonlinear edges and textures. However, there is still much room for improvement in the training techniques and inference optimization processes.
There are frequently master thesis topics coming up in this general area. Please ask, if you are interested in the general area.