Patents by Inventor Prasant Shekhar SINGH

Prasant Shekhar SINGH 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).

  • Machine learning based rate-distortion optimizer for video compression
    Patent number: 11496746
    Abstract: Systems and techniques are described for data encoding using a machine learning approach to generate a distortion prediction {circumflex over (D)} and a predicted bit rate {circumflex over (R)}, and to use {circumflex over (D)} and {circumflex over (R)} to perform rate-distortion optimization (RDO). For example, a video encoder can generate the distortion prediction {circumflex over (D)} and the bit rate residual prediction based on outputs of the one or more neural networks in response to the one or more neural networks receiving a residual portion of a block of a video frame as input. The video encoder can determine bit rate metadata prediction based on metadata associated with a mode of compression, and determine {circumflex over (R)} to be the sum of and . The video encoder can determine a rate-distortion cost prediction ? as a function of {circumflex over (D)} and {circumflex over (R)}, and can determine a prediction mode for compressing the block based on ?.
    Type: Grant
    Filed: February 2, 2021
    Date of Patent: November 8, 2022
    Assignee: QUALCOMM Incorporated
    Inventors: Mahant Siddaramanna, Naveen Srinivasamurthy, Apoorva Nagarajan, Prasant Shekhar Singh, Pawan Kumar Baheti, Narendranath Malayath
  • MACHINE LEARNING BASED RATE-DISTORTION OPTIMIZER FOR VIDEO COMPRESSION
    Publication number: 20220256169
    Abstract: Systems and techniques are described for data encoding using a machine learning approach to generate a distortion prediction {circumflex over (D)} and a predicted bit rate {circumflex over (R)}, and to use {circumflex over (D)} and {circumflex over (R)} to perform rate-distortion optimization (RDO). For example, a video encoder can generate the distortion prediction {circumflex over (D)} and the bit rate residual prediction based on outputs of the one or more neural networks in response to the one or more neural networks receiving a residual portion of a block of a video frame as input. The video encoder can determine bit rate metadata prediction based on metadata associated with a mode of compression, and determine {circumflex over (R)} to be the sum of and . The video encoder can determine a rate-distortion cost prediction ? as a function of {circumflex over (D)} and {circumflex over (R)}, and can determine a prediction mode for compressing the block based on ?.
    Type: Application
    Filed: February 2, 2021
    Publication date: August 11, 2022
    Inventors: Mahant SIDDARAMANNA, Naveen SRINIVASAMURTHY, Apoorva NAGARAJAN, Prasant Shekhar SINGH, Pawan Kumar BAHETI, Narendranath MALAYATH