Patents by Inventor Madhu P. Krishnan

Madhu P. Krishnan 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: 11265559
    Abstract: A disclosed configuration includes a system (or a computer implemented method or a non-transitory computer readable medium) for automatically preprocessing higher dynamic range image data into lower dynamic range image data through a data adaptive tuning process. By automatically preprocessing the higher dynamic range image data into the lower dynamic range image data through the data adaptive tuning process, an existing encoding process for encoding the standard dynamic range image data can be applied to the lower dynamic range image data while preserving metadata sufficient to recover image fidelity even in the high dynamic range. In one aspect, the system (or a computer implemented method or a non-transitory computer readable medium) provides for backwards compatibility between high dynamic range video services and existing standard dynamic range services. In one aspect, regrading is applied in a domain that is perceptually more uniform than the domain it is initially presented.
    Type: Grant
    Filed: December 24, 2020
    Date of Patent: March 1, 2022
    Assignee: FastVDO LLC
    Inventors: Pankaj N. Topiwala, Wei Dai, Madhu P. Krishnan
  • Publication number: 20210120253
    Abstract: A disclosed configuration includes a system (or a computer implemented method or a non-transitory computer readable medium) for automatically preprocessing higher dynamic range image data into lower dynamic range image data through a data adaptive tuning process. By automatically preprocessing the higher dynamic range image data into the lower dynamic range image data through the data adaptive tuning process, an existing encoding process for encoding the standard dynamic range image data can be applied to the lower dynamic range image data while preserving metadata sufficient to recover image fidelity even in the high dynamic range. In one aspect, the system (or a computer implemented method or a non-transitory computer readable medium) provides for backwards compatibility between high dynamic range video services and existing standard dynamic range services. In one aspect, regrading is applied in a domain that is perceptually more uniform than the domain it is initially presented.
    Type: Application
    Filed: December 24, 2020
    Publication date: April 22, 2021
    Inventors: Pankaj N. Topiwala, Wei Dai, Madhu P. Krishnan
  • Patent number: 10880557
    Abstract: A disclosed configuration includes a system (or a computer implemented method or a non-transitory computer readable medium) for automatically preprocessing higher dynamic range image data into lower dynamic range image data through a data adaptive tuning process. By automatically preprocessing the higher dynamic range image data into the lower dynamic range image data through the data adaptive tuning process, an existing encoding process for encoding the standard dynamic range image data can be applied to the lower dynamic range image data while preserving metadata sufficient to recover image fidelity even in the high dynamic range. In one aspect, the system (or a computer implemented method or a non-transitory computer readable medium) provides for backwards compatibility between high dynamic range video services and existing standard dynamic range services. In one aspect, regrading is applied in a domain that is perceptually more uniform than the domain it is initially presented.
    Type: Grant
    Filed: June 3, 2016
    Date of Patent: December 29, 2020
    Assignee: FASTVDO LLC
    Inventors: Wei Dai, Madhu P. Krishnan, Pankaj N. Topiwala
  • Patent number: 10650590
    Abstract: Methods and systems use a video sensor grid over an area, and extensive signal processing, to create a model-based view of reality. Grid-based synchronous capture, point cloud generation and refinement, morphology, polygonal tiling and surface representation, texture mapping, data compression, and system-level components for user-directed signal processing, is used to create, at user demand, a virtualized world, viewable from any location in an area, in any direction of gaze, at any time within an interval of capture. This data stream is transmitted for near-term network-based delivery, and 5G. Finally, that virtualized world, because it is inherently model-based, is integrated with augmentations (or deletions), creating a harmonized and photorealistic mix of real, and synthetic, worlds. This provides a fully immersive, mixed reality world, in which full interactivity, using gestures, is supported.
    Type: Grant
    Filed: September 7, 2017
    Date of Patent: May 12, 2020
    Assignee: FASTVDO LLC
    Inventors: Pankaj N. Topiwala, Wei Dai, Madhu P. Krishnan
  • Publication number: 20160360212
    Abstract: A disclosed configuration includes a system (or a computer implemented method or a non-transitory computer readable medium) for automatically preprocessing higher dynamic range image data into lower dynamic range image data through a data adaptive tuning process. By automatically preprocessing the higher dynamic range image data into the lower dynamic range image data through the data adaptive tuning process, an existing encoding process for encoding the standard dynamic range image data can be applied to the lower dynamic range image data while preserving metadata sufficient to recover image fidelity even in the high dynamic range. In one aspect, the system (or a computer implemented method or a non-transitory computer readable medium) provides for backwards compatibility between high dynamic range video services and existing standard dynamic range services. In one aspect, regrading is applied in a domain that is perceptually more uniform than the domain it is initially presented.
    Type: Application
    Filed: June 3, 2016
    Publication date: December 8, 2016
    Inventors: Wei Dai, Madhu P. Krishnan, Pankaj N. Topiwala