Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V.

Thomas Wiegard

Detlev Marpe

Heiko Schwarz

Philipp Helle

Mischa Siekmann

Martin Winken

Jonathan Pfaff

Wojciech Samek

Stephan Kaltenstadler

Dominique Maniry

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.

Intra-prediction mode concept for block-wise picture coding

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Berlin, Germany

Thomas Wiegard