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Neural network based intra prediction for video coding

: Pfaff, J.; Helle, P.; Maniry, D.; Kaltenstadler, S.; Samek, W.; Schwarz, H.; Marpe, D.; Wiegand, T.


Tescher, A.G. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Applications of Digital Image Processing XLI : 20-23 August 2018, San Diego, California, United States
Bellingham, WA: SPIE, 2018 (Proceedings of SPIE 10752)
ISBN: 978-1-5106-2076-6
ISBN: 978-1-5106-2075-9
Paper 1075213, 7 S.
Conference "Applications of Digital Image Processing" <41, 2018, San Diego/Calif.>
Conference of Optics and Photonics for Information Processing <2018, San Diego/Calif.>
Conference "Optical Engineering and Applications" <2018, San Diego/Calif.>
Conference "Optics and Photonics" <2018, San Diego/Calif.>
Fraunhofer HHI ()

Today’s hybrid video coding systems typically perform an intra-picture prediction whereby blocks of samples are predicted from previously decoded samples of the same picture. For example, HEVC uses a set of angular prediction patterns to exploit directional sample correlations. In this paper, we propose new intra-picture prediction modes whose construction consists of two steps: First, a set of features is extracted from the decoded samples. Second, these features are used to select a predefined image pattern as the prediction signal. Since several intra prediction modes are proposed for each block-shape, a specific signalization scheme is also proposed. Our intra prediction modes lead to significant coding gains over state of the art video coding technologies.