Patents by Inventor Neelesh Gokhale

Neelesh Gokhale 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: 10284853
    Abstract: Techniques related to projected interpolation prediction generation for video coding are described.
    Type: Grant
    Filed: April 14, 2014
    Date of Patent: May 7, 2019
    Assignee: Intel Corporation
    Inventors: Neelesh Gokhale, Atul Puri
  • Publication number: 20190045195
    Abstract: Methods, apparatuses and systems may provide for technology that quickly and accurately determines a limited number of partition maps and a limited number of mode subsets. A partition and mode simplification system may include a content analyzer based partitions and mode subset generator system, which itself may include a content analyzer and features generator as well as a partitions and mode subset generator. The content analyzer and features generator may determine a plurality of spatial features and temporal features for a current largest coding unit of a current frame of the video sequence. The partitions and mode subset generator may determine a limited number of partition maps and a limited number of mode subsets for the current largest coding unit of the current frame based at least in part on the spatial features and temporal features.
    Type: Application
    Filed: March 30, 2018
    Publication date: February 7, 2019
    Inventors: Neelesh Gokhale, Atul Puri
  • 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
  • Patent number: 9883198
    Abstract: Techniques related to video codec architecture for next generation video are described.
    Type: Grant
    Filed: November 13, 2013
    Date of Patent: January 30, 2018
    Assignee: Intel Corporation
    Inventors: Atul Puri, Neelesh Gokhale
  • Publication number: 20170013279
    Abstract: Techniques related to dominant motion compensated prediction for next generation video coding are described.
    Type: Application
    Filed: March 12, 2014
    Publication date: January 12, 2017
    Applicant: NTEL Corporation
    Inventors: ATUL PURI, Neelesh GOKHALE
  • Publication number: 20170006284
    Abstract: Techniques related to projected interpolation prediction generation for video coding are described.
    Type: Application
    Filed: April 14, 2014
    Publication date: January 5, 2017
    Inventors: NEELESH GOKHALE, ATUL PURI
  • Patent number: 9462280
    Abstract: A system and method for impairments compensation filtering is described that can be used either in conjunction with video coding, or standalone for postprocessing. It uses a wiener filtering approach in conjunction with an efficient codebook representation.
    Type: Grant
    Filed: December 21, 2010
    Date of Patent: October 4, 2016
    Assignee: INTEL CORPORATION
    Inventors: Atul Puri, Neelesh Gokhale, Daniel Socok
  • Publication number: 20150010048
    Abstract: Techniques related to content adaptive transform coding are described.
    Type: Application
    Filed: October 29, 2013
    Publication date: January 8, 2015
    Inventors: Atul Puri, Neelesh Gokhale
  • Publication number: 20120155532
    Abstract: A system and method for impairments compensation filtering is described that can be used either in conjunction with video coding, or standalone for postprocessing. It uses a wiener filtering approach in conjunction with an efficient codebook representation.
    Type: Application
    Filed: December 21, 2010
    Publication date: June 21, 2012
    Inventors: Atul Puri, Neelesh Gokhale, Daniel Socek
  • Publication number: 20050105622
    Abstract: A decoder adapted to generate an intermediate decoded version of a video frame from an encoded version of the video frame, determine either an amount of high frequency basis functions or coefficients below a quantization threshold for at least one block of the video frame, and generate a final decoded version of the video frame based at least in part on the intermediate decoded version of the video frame and the determined amount(s) for the one or more blocks of the video frame, is disclosed. In various embodiments, the decoder may be incorporated as a part of a video system.
    Type: Application
    Filed: November 15, 2004
    Publication date: May 19, 2005
    Inventor: Neelesh Gokhale