Patents by Inventor Stephan KALTENSTADLER
Stephan KALTENSTADLER has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20250056040Abstract: An apparatus for block-wise decoding a picture from a data stream and/or encoding a picture into a data stream, the apparatus supporting at least one intra-prediction mode according to which the intra-prediction signal for a block of a predetermined size of the picture is determined by applying a first template of samples which neighbours the current block onto a neural network. The apparatus may be configured, for a current block differing from the predetermined size, to: resample a second template of samples neighboring the current block, so as to conform with the first template so as to obtain a resampled template; apply the resampled template of samples onto the neural network so as to obtain a preliminary intra-prediction signal; and resample the preliminary intra-prediction signal so as to conform with the current block so as to obtain the intra-prediction signal for the current block.Type: ApplicationFiled: October 23, 2024Publication date: February 13, 2025Inventors: Jonathan PFAFF, Philipp HELLE, Philipp MERKLE, Björn STALLENBERGER, Mischa SIEKMANN, Martin WINKEN, Adam WIECKOWSKI, Wojciech SAMEK, Stephan KALTENSTADLER, Heiko SCHWARZ, Detlev MARPE, Thomas WIEGAND
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Patent number: 12160606Abstract: An apparatus for block-wise decoding a picture from a data stream and/or encoding a picture into a data stream, the apparatus supporting at least one intra-prediction mode according to which the intra-prediction signal for a block of a predetermined size of the picture is determined by applying a first template of samples which neighbours the current block onto a neural network. The apparatus may be configured, for a current block differing from the predetermined size, to: resample a second template of samples neighboring the current block, so as to conform with the first template so as to obtain a resampled template; apply the resampled template of samples onto the neural network so as to obtain a preliminary intra-prediction signal; and resample the preliminary intra-prediction signal so as to conform with the current block so as to obtain the intra-prediction signal for the current block.Type: GrantFiled: January 9, 2023Date of Patent: December 3, 2024Assignee: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung, e.V.Inventors: Jonathan Pfaff, Philipp Helle, Philipp Merkle, Björn Stallenberger, Mischa Siekmann, Martin Winken, Adam Wieckowski, Wojciech Samek, Stephan Kaltenstadler, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
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Publication number: 20240137500Abstract: 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: ApplicationFiled: December 19, 2023Publication date: April 25, 2024Inventors: Jonathan PFAFF, Philipp HELLE, Dominique MANIRY, Thomas WIEGARD, Wojciech SAMEK, Stephan KALTENSTADLER, Heiko SCHWARZ, Detlev MARPE, Mischa SIEKMANN, Martin WINKEN
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Patent number: 11889066Abstract: 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: GrantFiled: June 13, 2022Date of Patent: January 30, 2024Assignee: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.Inventors: Jonathan Pfaff, Philipp Helle, Dominique Maniry, Thomas Wiegard, Wojciech Samek, Stephan Kaltenstadler, Heiko Schwarz, Detlev Marpe, Mischa Siekmann, Martin Winken
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Publication number: 20230254508Abstract: An apparatus for block-wise decoding a picture from a data stream and/or encoding a picture into a data stream, the apparatus supporting at least one intra-prediction mode according to which the intra-prediction signal for a block of a predetermined size of the picture is determined by applying a first template of samples which neighbours the current block onto a neural network. The apparatus may be configured, for a current block differing from the predetermined size, to: resample a second template of samples neighboring the current block, so as to conform with the first template so as to obtain a resampled template ; apply the resampled template of samples onto the neural network so as to obtain a preliminary intra-prediction signal; and resample the preliminary intra-prediction signal so as to conform with the current block so as to obtain the intra-prediction signal for the current block.Type: ApplicationFiled: January 9, 2023Publication date: August 10, 2023Applicant: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.Inventors: Jonathan Pfaff, Philipp Helle, Philipp Merkle, Björn Stallenberger, Mischa Siekmann, Martin Winken, Adam Wieckowski, Wojciech Samek, Stephan Kaltenstadler, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
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Patent number: 11601672Abstract: An apparatus for block-wise decoding a picture from a data stream and/or encoding a picture into a data stream, the apparatus supporting at least one intra-prediction mode according to which the intra-prediction signal for a block of a predetermined size of the picture is determined by applying a first template of samples which neighbours the current block onto a neural network. The apparatus may be configured, for a current block differing from the predetermined size, to: resample a second template of samples neighboring the current block, so as to conform with the first template so as to obtain a resampled template; apply the resampled template of samples onto the neural network so as to obtain a preliminary intra-prediction signal; and resample the preliminary intra-prediction signal so as to conform with the current block so as to obtain the intra-prediction signal for the current block.Type: GrantFiled: September 25, 2020Date of Patent: March 7, 2023Assignee: Fraunhofer-Gesellschaft zur Forderung der angewandten Forschung e.V.Inventors: Jonathan Pfaff, Philipp Helle, Philipp Merkle, Björn Stallenberger, Mischa Siekmann, Martin Winken, Adam Wieckowski, Wojciech Samek, Stephan Kaltenstadler, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
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Publication number: 20220321881Abstract: 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: ApplicationFiled: June 13, 2022Publication date: October 6, 2022Inventors: Jonathan PFAFF, Philipp HELLE, Dominique MANIRY, Thomas WIEGARD, Wojciech SAMEK, Stephan KALTENSTADLER, Heiko SCHWARZ, Detlev MARPE, Mischa SIEKMANN, Martin WINKEN
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Patent number: 11363259Abstract: 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: GrantFiled: April 10, 2020Date of Patent: June 14, 2022Assignee: Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., MünchenInventors: Jonathan Pfaff, Philipp Helle, Dominique Maniry, Thomas Wiegand, Wojciech Samek, Stephan Kaltenstadler, Heiko Schwarz, Detlev Marpe, Mischa Siekmann, Martin Winken
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Publication number: 20210014531Abstract: An apparatus for block-wise decoding a picture from a data stream and/or encoding a picture into a data stream, the apparatus supporting at least one intra-prediction mode according to which the intra-prediction signal for a block of a predetermined size of the picture is determined by applying a first template of samples which neighbours the current block onto a neural network. The apparatus may be configured, for a current block differing from the predetermined size, to: resample a second template of samples neighboring the current block, so as to conform with the first template so as to obtain a resampled template; apply the resampled template of samples onto the neural network so as to obtain a preliminary intra-prediction signal; and resample the preliminary intra-prediction signal so as to conform with the current block so as to obtain the intra-prediction signal for the current block.Type: ApplicationFiled: September 25, 2020Publication date: January 14, 2021Inventors: Jonathan PFAFF, Philipp HELLE, Philipp MERKLE, Björn STALLENBERGER, Mischa SIEKMANN, Martin WINKEN, Adam WIECKOWSKI, Wojciech SAMEK, Stephan KALTENSTADLER, Heiko SCHWARZ, Detlev MARPE, Thomas WIEGAND
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Publication number: 20200244955Abstract: 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: ApplicationFiled: April 10, 2020Publication date: July 30, 2020Inventors: Jonathan PFAFF, Philipp HELLE, Dominique MANIRY, Thomas WIEGAND, Wojciech SAMEK, Stephan KALTENSTADLER, Heiko SCHWARZ, Detlev MARPE, Mischa SIEKMANN, Martin WINKEN