Patents Assigned to Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., München
  • Patent number: 11363259
    Abstract: In accordance with a first aspect, an improved compression efficiency is achieved by letting a block-wise picture codec support a set of intra-prediction modes according to which the intra-prediction signal for a current block of a picture is determined by applying a set of neighboring samples of the current block onto a neural network. A second aspect of the present application is that, additionally or alternatively to the spending of neural network-based intra-prediction modes, the mode selection may be rendered more effective by the usage of a neural network dedicated to determine a rank or a probability value for each of the set of intra-prediction modes by applying a set of neighboring samples thereonto with the rank or probability value being used for the selection of one intra-prediction mode out of the plurality of intra-prediction modes including or coinciding with the set of intra-prediction modes.
    Type: Grant
    Filed: April 10, 2020
    Date of Patent: June 14, 2022
    Assignee: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., München
    Inventors: Jonathan Pfaff, Philipp Helle, Dominique Maniry, Thomas Wiegand, Wojciech Samek, Stephan Kaltenstadler, Heiko Schwarz, Detlev Marpe, Mischa Siekmann, Martin Winken