Patents by Inventor Matthias PREISS

Matthias PREISS 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).

  • Publication number: 20240048708
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Application
    Filed: October 6, 2023
    Publication date: February 8, 2024
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand, Christian Bartnik
  • Patent number: 11838511
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Grant
    Filed: February 1, 2022
    Date of Patent: December 5, 2023
    Assignee: GE Video Compression, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand, Christian Bartnik
  • Publication number: 20230078680
    Abstract: A decoder includes an entropy decoder configured to derive a number of bins of the binarizations from the data stream using binary entropy decoding by selecting a context among different contexts and updating probability states associated with the different contexts, dependent on previously decoded portions of the data stream; a desymbolizer configured to debinarize the binarizations of the syntax elements to obtain integer values of the syntax elements; a reconstructor configured to reconstruct the video based on the integer values of the syntax elements using a quantization parameter, wherein the entropy decoder is configured to distinguish between 126 probability states and to initialize the probability states associated with the different contexts according to a linear equation of the quantization parameter, wherein the entropy decoder is configured to, for each of the different contexts, derive a slope and an offset of the linear equation from first and second four bit parts of a respective 8 bit initial
    Type: Application
    Filed: September 9, 2022
    Publication date: March 16, 2023
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND
  • Patent number: 11533485
    Abstract: An entropy decoder is configured to, for horizontal and vertical components of motion vector differences, derive a truncated unary code from the data stream using context-adaptive binary entropy decoding with exactly one context per bin position of the truncated unary code, which is common for horizontal and vertical components of the motion vector differences, and an Exp-Golomb code using a constant equi-probability bypass mode to obtain the binarizations of the motion vector differences. A desymbolizer is configured to debinarize the binarizations of the motion vector difference syntax elements to obtain integer values of the horizontal and vertical components of the motion vector differences. A reconstructor is configured to reconstruct a video based on the integer values of the horizontal and vertical components of the motion vector differences.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: December 20, 2022
    Assignee: GE Video Compression, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand
  • Patent number: 11516474
    Abstract: A decoder includes an entropy decoder configured to derive a number of bins of the binarizations from the data stream using binary entropy decoding by selecting a context among different contexts and updating probability states associated with the different contexts, dependent on previously decoded portions of the data stream; a desymbolizer configured to debinarize the binarizations of the syntax elements to obtain integer values of the syntax elements; a reconstructor configured to reconstruct the video based on the integer values of the syntax elements using a quantization parameter, wherein the entropy decoder is configured to distinguish between 126 probability states and to initialize the probability states associated with the different contexts according to a linear equation of the quantization parameter, wherein the entropy decoder is configured to, for each of the different contexts, derive a slope and an offset of the linear equation from first and second four bit parts of a respective 8 bit initial
    Type: Grant
    Filed: April 16, 2021
    Date of Patent: November 29, 2022
    Assignee: GE Video Compression, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand
  • Publication number: 20220224904
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Application
    Filed: February 1, 2022
    Publication date: July 14, 2022
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND, Christian BARTNIK
  • Patent number: 11277614
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: March 15, 2022
    Assignee: GE Video Compression, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand, Christian Bartnik
  • Publication number: 20210243446
    Abstract: A decoder includes an entropy decoder configured to derive a number of bins of the binarizations from the data stream using binary entropy decoding by selecting a context among different contexts and updating probability states associated with the different contexts, dependent on previously decoded portions of the data stream; a desymbolizer configured to debinarize the binarizations of the syntax elements to obtain integer values of the syntax elements; a reconstructor configured to reconstruct the video based on the integer values of the syntax elements using a quantization parameter, wherein the entropy decoder is configured to distinguish between 126 probability states and to initialize the probability states associated with the different contexts according to a linear equation of the quantization parameter, wherein the entropy decoder is configured to, for each of the different contexts, derive a slope and an offset of the linear equation from first and second four bit parts of a respective 8 bit initial
    Type: Application
    Filed: April 16, 2021
    Publication date: August 5, 2021
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND
  • Patent number: 11012695
    Abstract: A decoder includes an entropy decoder configured to derive a number of bins of the binarizations from the data stream using binary entropy decoding by selecting a context among different contexts and updating probability states associated with the different contexts, dependent on previously decoded portions of the data stream; a desymbolizer configured to debinarize the binarizations of the syntax elements to obtain integer values of the syntax elements; a reconstructor configured to reconstruct the video based on the integer values of the syntax elements using a quantization parameter, wherein the entropy decoder is configured to distinguish between 126 probability states and to initialize the probability states associated with the different contexts according to a linear equation of the quantization parameter, wherein the entropy decoder is configured to, for each of the different contexts, derive a slope and an offset of the linear equation from first and second four bit parts of a respective 8 bit initial
    Type: Grant
    Filed: February 3, 2020
    Date of Patent: May 18, 2021
    Assignee: GE Video Compression, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand
  • Patent number: 10819982
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: October 27, 2020
    Assignee: GE VIDEO COMPRESSION, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand, Christian Bartnik
  • Patent number: 10778981
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: September 15, 2020
    Assignee: GE VIDEO COMPRESSION, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand, Christian Bartnik
  • Publication number: 20200267389
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Application
    Filed: May 5, 2020
    Publication date: August 20, 2020
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND, Christian BARTNIK
  • Patent number: 10715809
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Grant
    Filed: November 25, 2019
    Date of Patent: July 14, 2020
    Assignee: GE VIDEO COMPRESSION, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand, Christian Bartnik
  • Publication number: 20200177883
    Abstract: A decoder includes an entropy decoder configured to derive a number of bins of the binarizations from the data stream using binary entropy decoding by selecting a context among different contexts and updating probability states associated with the different contexts, dependent on previously decoded portions of the data stream; a desymbolizer configured to debinarize the binarizations of the syntax elements to obtain integer values of the syntax elements; a reconstructor configured to reconstruct the video based on the integer values of the syntax elements using a quantization parameter, wherein the entropy decoder is configured to distinguish between 126 probability states and to initialize the probability states associated with the different contexts according to a linear equation of the quantization parameter, wherein the entropy decoder is configured to, for each of the different contexts, derive a slope and an offset of the linear equation from first and second four bit parts of a respective 8 bit initial
    Type: Application
    Filed: February 3, 2020
    Publication date: June 4, 2020
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND
  • Publication number: 20200169733
    Abstract: An entropy decoder is configured to, for horizontal and vertical components of motion vector differences, derive a truncated unary code from the data stream using context-adaptive binary entropy decoding with exactly one context per bin position of the truncated unary code, which is common for horizontal and vertical components of the motion vector differences, and an Exp-Golomb code using a constant equi-probability bypass mode to obtain the binarizations of the motion vector differences. A desymbolizer is configured to debinarize the binarizations of the motion vector difference syntax elements to obtain integer values of the horizontal and vertical components of the motion vector differences. A reconstructor is configured to reconstruct a video based on the integer values of the horizontal and vertical components of the motion vector differences.
    Type: Application
    Filed: January 31, 2020
    Publication date: May 28, 2020
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND
  • Patent number: 10645388
    Abstract: A decoder includes an entropy decoder configured to derive a number of bins of the binarizations from the data stream using binary entropy decoding by selecting a context among different contexts and updating probability states associated with the different contexts, dependent on previously decoded portions of the data stream; a desymbolizer configured to debinarize the binarizations of the syntax elements to obtain integer values of the syntax elements; a reconstructor configured to reconstruct the video based on the integer values of the syntax elements using a quantization parameter, wherein the entropy decoder is configured to distinguish between 126 probability states and to initialize the probability states associated with the different contexts according to a linear equation of the quantization parameter, wherein the entropy decoder is configured to, for each of the different contexts, derive a slope and an offset of the linear equation from first and second four bit parts of a respective 8 bit initial
    Type: Grant
    Filed: June 26, 2019
    Date of Patent: May 5, 2020
    Assignee: GE VIDEO COMPRESSION, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand
  • Patent number: 10630987
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: April 21, 2020
    Assignee: GE VIDEO COMPRESSION, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand, Christian Bartnik
  • Patent number: 10630988
    Abstract: An entropy decoder is configured to, for horizontal and vertical components of motion vector differences, derive a truncated unary code from the data stream using context-adaptive binary entropy decoding with exactly one context per bin position of the truncated unary code, which is common for horizontal and vertical components of the motion vector differences, and an Exp-Golomb code using a constant equi-probability bypass mode to obtain the binarizations of the motion vector differences. A desymbolizer is configured to debinarize the binarizations of the motion vector difference syntax elements to obtain integer values of the horizontal and vertical components of the motion vector differences. A reconstructor is configured to reconstruct a video based on the integer values of the horizontal and vertical components of the motion vector differences.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: April 21, 2020
    Assignee: GE VIDEO COMPRESSION, LLC
    Inventors: Valeri George, Benjamin Bross, Heiner Kirchhoffer, Detlev Marpe, Tung Nguyen, Matthias Preiss, Mischa Siekmann, Jan Stegemann, Thomas Wiegand
  • Publication number: 20200092560
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Application
    Filed: November 25, 2019
    Publication date: March 19, 2020
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND, Christian BARTNIK
  • Publication number: 20190327474
    Abstract: A decoder for decoding a data stream into which media data is coded has a mode switch configured to activate a low-complexity mode or a high-efficiency mode depending on the data stream, an entropy decoding engine configured to retrieve each symbol of a sequence of symbols by entropy decoding using a selected one of a plurality of entropy decoding schemes, a desymbolizer configured to desymbolize the sequence of symbols to obtain a sequence of syntax elements, a reconstructor configured to reconstruct the media data based on the sequence of syntax elements, selection depending on the activated low-complexity mode or the high-efficiency mode.
    Type: Application
    Filed: June 27, 2019
    Publication date: October 24, 2019
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND, Christian BARTNIK