Patents by Inventor Chang-Kee Choi

Chang-Kee Choi 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: 11032567
    Abstract: Methods, apparatuses and systems may provide for technology that provides adaptive Long Term Reference (LTR) frame techniques for video processing and/or coding. More particularly, implementations described herein may utilize fast content analysis based Adaptive Long Term Reference (LTR) methods and systems that can reliably decide when to turn LTR on/off, select LTR frames, and/or assign LTR frame quality for higher efficiency and higher quality encoding with practical video encoders.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: June 8, 2021
    Assignee: Intel Corporation
    Inventors: Neelesh Gokhale, Chang Kee Choi, Atul Puri, Sebastian Possos
  • Patent number: 10469854
    Abstract: Techniques related to improved video encoding including content, psychovisual, region of interest, and persistence based adaptive quantization are discussed. Such techniques may include generating block level rate distortion optimization Lagrange multipliers and block level quantization parameters for blocks of a picture to be encoded and determining coding parameters for the blocks based on a rate distortion optimization using the Lagrange multipliers and quantization parameters.
    Type: Grant
    Filed: June 21, 2017
    Date of Patent: November 5, 2019
    Assignee: Intel Corporation
    Inventors: Neelesh N. Gokhale, Atul Puri, Chang Kee Choi
  • Publication number: 20190045217
    Abstract: Methods, apparatuses and systems may provide for technology that provides adaptive Long Term Reference (LTR) frame techniques for video processing and/or coding. More particularly, implementations described herein may utilize fast content analysis based Adaptive Long Term Reference (LTR) methods and systems that can reliably decide when to turn LTR on/off, select LTR frames, and/or assign LTR frame quality for higher efficiency and higher quality encoding with practical video encoders.
    Type: Application
    Filed: September 28, 2018
    Publication date: February 7, 2019
    Inventors: Neelesh Gokhale, Chang Kee Choi, Atul Puri, Sebastian Possos
  • Publication number: 20180376153
    Abstract: Techniques related to improved video encoding including content, psychovisual, region of interest, and persistence based adaptive quantization are discussed. Such techniques may include generating block level rate distortion optimization Lagrange multipliers and block level quantization parameters for blocks of a picture to be encoded and determining coding parameters for the blocks based on a rate distortion optimization using the Lagrange multipliers and quantization parameters.
    Type: Application
    Filed: June 21, 2017
    Publication date: December 27, 2018
    Inventors: Neelesh N. GOKHALE, Atul PURI, Chang Kee CHOI
  • Patent number: 10009610
    Abstract: Techniques related to content adaptive prediction and entropy coding of motion vectors are described.
    Type: Grant
    Filed: July 18, 2017
    Date of Patent: June 26, 2018
    Assignee: Intel Corporation
    Inventors: Atul Puri, Daniel Socek, Chang Kee Choi
  • Publication number: 20170318297
    Abstract: Techniques related to content adaptive prediction and entropy coding of motion vectors are described.
    Type: Application
    Filed: July 18, 2017
    Publication date: November 2, 2017
    Inventors: Atul Puri, Daniel Socek, Chang Kee Choi
  • Patent number: 9762911
    Abstract: Techniques related to content adaptive prediction and entropy coding of motion vectors are described.
    Type: Grant
    Filed: July 17, 2014
    Date of Patent: September 12, 2017
    Assignee: Intel Corporation
    Inventors: Atul Puri, Daniel Socek, Chang Kee Choi
  • Patent number: 9100662
    Abstract: A system and method for adaptive motion filtering to improve subpel motion prediction efficiency of interframe motion compensated video coding is described. The technique uses a codebook approach that is efficient in search complexity to look-up best motion filter set from a pre-calculated codebook of motion filter coefficient set. In some embodiments, the search complexity is further reduced by partitioning the complete codebook into a small base codebook and a larger virtual codebook, such that the main calculations for search only need to be performed on the base codebook.
    Type: Grant
    Filed: May 5, 2014
    Date of Patent: August 4, 2015
    Assignee: Intel Corporation
    Inventors: Atul Puri, Daniel Socek, Chang-Kee Choi
  • Publication number: 20150078448
    Abstract: A system and method for adaptive motion filtering to improve subpel motion prediction efficiency of interframe motion compensated video coding is described. The technique uses a codebook approach that is efficient in search complexity to look-up best motion filter set from a pre-calculated codebook of motion filter coefficient set. In some embodiments, the search complexity is further reduced by partitioning the complete codebook into a small base codebook and a larger virtual codebook, such that the main calculations for search only need to be performed on the base codebook.
    Type: Application
    Filed: May 5, 2014
    Publication date: March 19, 2015
    Inventors: Atul PURI, Daniel SOCEK, Chang-Kee CHOI
  • Publication number: 20140362922
    Abstract: Techniques related to content adaptive prediction and entropy coding of motion vectors are described.
    Type: Application
    Filed: July 17, 2014
    Publication date: December 11, 2014
    Inventors: Atul Puri, Daniel Socek, Chang Kee Choi
  • Patent number: 8761245
    Abstract: A system and method for adaptive motion filtering to improve subpel motion prediction efficiency of interframe motion compensated video coding is described. The technique uses a codebook approach that is efficient in search complexity to look-up best motion filter set from a pre-calculated codebook of motion filter coefficient set. In some embodiments, the search complexity is further reduced by partitioning the complete codebook into a small base codebook and a larger virtual codebook, such that the main calculations for search only need to be performed on the base codebook.
    Type: Grant
    Filed: December 21, 2010
    Date of Patent: June 24, 2014
    Assignee: Intel Corporation
    Inventors: Atul Puri, Daniel Socek, Chang-Kee Choi
  • Publication number: 20120155533
    Abstract: A system and method for adaptive motion filtering to improve subpel motion prediction efficiency of interframe motion compensated video coding is described. The technique uses a codebook approach that is efficient in search complexity to look-up best motion filter set from a pre-calculated codebook of motion filter coefficient set. In some embodiments, the search complexity is further reduced by partitioning the complete codebook into a small base codebook and a larger virtual codebook, such that the main calculations for search only need to be performed on the base codebook.
    Type: Application
    Filed: December 21, 2010
    Publication date: June 21, 2012
    Inventors: Atul Puri, Daniel Socek, Chang-Kee Choi