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Proceedings Paper

Neural network based intra prediction for video coding
Author(s): J. Pfaff; P. Helle; D. Maniry; S. Kaltenstadler; W. Samek; H. Schwarz; D. Marpe; T. Wiegand
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Paper 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.

Paper Details

Date Published: 17 September 2018
PDF: 7 pages
Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075213 (17 September 2018); doi: 10.1117/12.2321273
Show Author Affiliations
J. Pfaff, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
P. Helle, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
D. Maniry, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
S. Kaltenstadler, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
W. Samek, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
H. Schwarz, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
D. Marpe, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)
T. Wiegand, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut (Germany)


Published in SPIE Proceedings Vol. 10752:
Applications of Digital Image Processing XLI
Andrew G. Tescher, Editor(s)

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