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

Dominique Maniry

Detlev Marpe

Heiko Schwarz

Philipp Helle

Mischa Siekmann

Martin Winken

Jonathan Pfaff

Wojciech Samek

Stephan Kaltenstadler

Thomas Wiegand

Thomas Wiegard

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

Dominique Maniry