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17 September 2018 Neural network based intra prediction for video coding
J. Pfaff; P. Helle; D. Maniry; S. Kaltenstadler; W. Samek; H. Schwarz; D. Marpe; T. Wiegand
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Proceedings Volume 10752, Applications of Digital Image Processing XLI; 1075213 (2018) https://doi.org/10.1117/12.2321273
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States
Abstract
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.
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J. Pfaff, P. Helle, D. Maniry, S. Kaltenstadler, W. Samek, H. Schwarz, D. Marpe, and T. Wiegand "Neural network based intra prediction for video coding", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075213 (17 September 2018); https://doi.org/10.1117/12.2321273
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