Patents by Inventor Mischa SIEKMANN

Mischa SIEKMANN 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).

  • 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: 20200007869
    Abstract: A scalable video decoder is described which is configured to reconstruct a base layer signal from a coded data stream to obtain a reconstructed base layer signal; and reconstruct an enhancement layer signal including spatially or temporally predicting a portion of an enhancement layer signal, currently to be reconstructed, from an already reconstructed portion of the enhancement layer signal to obtain an enhancement layer internal prediction signal; forming, at the portion currently to be reconstructed, a weighted average of an inter-layer prediction signal obtained from the reconstructed base layer signal, and the enhancement layer internal prediction signal to obtain an enhancement layer prediction signal such that a weighting between the inter-layer prediction signal and the enhancement layer internal prediction signal varies over different spatial frequency components; and predictively reconstructing the enhancement layer signal using the enhancement layer prediction signal.
    Type: Application
    Filed: July 2, 2019
    Publication date: January 2, 2020
    Inventors: Tobias HINZ, Haricharan LAKSHMAN, Jan STEGEMANN, Philipp HELLE, Mischa SIEKMANN, Karsten SUEHRING, Detlev MARPE, Heiko SCHWARZ, Christian BARTNIK, Ali Atef Ibrahim KHAIRAT ABDELHAMID, Heiner KIRCHHOFFER, Thomas WIEGAND
  • Patent number: 10477210
    Abstract: A scalable video decoder is described which is configured to reconstruct a base layer signal from a coded data stream to obtain a reconstructed base layer signal; and reconstruct an enhancement layer signal including spatially or temporally predicting a portion of an enhancement layer signal, currently to be reconstructed, from an already reconstructed portion of the enhancement layer signal to obtain an enhancement layer internal prediction signal; forming, at the portion currently to be reconstructed, a weighted average of an inter-layer prediction signal obtained from the reconstructed base layer signal, and the enhancement layer internal prediction signal to obtain an enhancement layer prediction signal such that a weighting between the inter-layer prediction signal and the enhancement layer internal prediction signal varies over different spatial frequency components; and predictively reconstructing the enhancement layer signal using the enhancement layer prediction signal.
    Type: Grant
    Filed: March 24, 2015
    Date of Patent: November 12, 2019
    Assignee: GE VIDEO COMPRESSION, LLC
    Inventors: Tobias Hinz, Haricharan Lakshman, Jan Stegemann, Philipp Helle, Mischa Siekmann, Karsten Suehring, Detlev Marpe, Heiko Schwarz, Christian Bartnik, Ali Atef Ibrahim Khairat Abdelhamid, Heiner Kirchhoffer, Thomas Wiegand
  • 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
  • Publication number: 20190320177
    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: June 26, 2019
    Publication date: October 17, 2019
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND
  • Publication number: 20190320178
    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: June 27, 2019
    Publication date: October 17, 2019
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND
  • Patent number: 10440364
    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: March 12, 2018
    Date of Patent: October 8, 2019
    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: 10432939
    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: January 28, 2019
    Date of Patent: October 1, 2019
    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: 10432940
    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 28, 2019
    Date of Patent: October 1, 2019
    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: 10425644
    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 2, 2019
    Date of Patent: September 24, 2019
    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: 20190191165
    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: January 28, 2019
    Publication date: June 20, 2019
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND, Christian BARTNIK
  • Patent number: 10313672
    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: July 17, 2018
    Date of Patent: June 4, 2019
    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: 10306232
    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: August 14, 2018
    Date of Patent: May 28, 2019
    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: 20190158840
    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 28, 2019
    Publication date: May 23, 2019
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND
  • Patent number: 10298964
    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 12, 2018
    Date of Patent: May 21, 2019
    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: 20190141329
    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 2, 2019
    Publication date: May 9, 2019
    Inventors: Valeri GEORGE, Benjamin BROSS, Heiner KIRCHHOFFER, Detlev MARPE, Tung NGUYEN, Matthias PREISS, Mischa SIEKMANN, Jan STEGEMANN, Thomas WIEGAND
  • Publication number: 20190116360
    Abstract: The coding efficiency of scalable video coding is increased by substituting missing spatial intra prediction parameter candidates in a spatial neighborhood of a current block of the enhancement layer by use of intra prediction parameters of a co-located block of the base layer signal. By this measure, the coding efficiency for coding the spatial intra prediction parameters is increased due to the improved prediction quality of the set of intra prediction parameters of the enhancement layer, or, more precisely stated, the increased likelihood, that appropriate predictors for the intra prediction parameters for an intra predicted block of the enhancement layer are available thereby increasing the likelihood that the signaling of the intra prediction parameter of the respective enhancement layer block may be performed, on average, with less bits.
    Type: Application
    Filed: November 5, 2018
    Publication date: April 18, 2019
    Inventors: Tobias HINZ, Haricharan LAKSHMAN, Jan STEGEMANN, Philipp HELLE, Mischa SIEKMANN, Karsten SUEHRING, Detlev MARPE, Heiko SCHWARZ, Christian BARTNIK, Ali Atef Ibrahim KHAIRAT ABDELHAMID, Heiner KIRCHHOFFER, Thomas WIEGAND
  • Publication number: 20190110046
    Abstract: Scalable video coding is rendered more efficient by deriving/selecting a subblock subdivision to be used for enhancement layer prediction, among a set of possible subblock subdivisions of an enhancement layer block by evaluating the spatial variation of the base layer coding parameters over the base layer signal. By this measure, less of the signalization overhead has to be spent on signaling this subblock subdivision within the enhancement layer data stream, if any. The subblock subdivision thus selected may be used in predictively coding/decoding the enhancement layer signal.
    Type: Application
    Filed: September 26, 2018
    Publication date: April 11, 2019
    Inventors: Tobias HINZ, Haricharan LAKSHMAN, Jan STEGEMANN, Philipp HELLE, Mischa SIEKMANN, Karsten SUEHRING, Detlev MARPE, Heiko SCHWARZ, Christian BARTNIK, Ali Atef Ibrahim KHAIRAT ABDELHAMID, Heiner KIRCHHOFFER, Thomas WIEGAND