Patents by Inventor Simon Meierhans

Simon Meierhans 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).

  • Content adaptive optimization for neural data compression
    Patent number: 11057634
    Abstract: A data processing system includes a computing platform having a hardware processor and a memory storing a data compression software code. The hardware processor executes the data compression software code to receive a series of compression input data and encode a first compression input data of the series to a latent space representation of the first compression input data. The data compression software code further decodes the latent space representation to produce an input space representation of the first compression input data corresponding to the latent space representation, and generates f refined latent values for re-encoding the first compression input data based on a comparison of the first compression input data with its input space representation. The data compression software code then re-encodes the first compression input data using the refined latent values to produce a first compressed data corresponding to the first compression input data.
    Type: Grant
    Filed: May 15, 2019
    Date of Patent: July 6, 2021
    Assignee: Disney Enterprises, Inc.
    Inventors: Christopher Schroers, Simon Meierhans, Joaquim Campos, Jared McPhillen, Abdelaziz Djelouah, Erika Varis Doggett, Scott Labrozzi, Yuanyi Xue
  • Content Adaptive Optimization for Neural Data Compression
    Publication number: 20200366914
    Abstract: A data processing system includes a computing platform having a hardware processor and a memory storing a data compression software code. The hardware processor executes the data compression software code to receive a series of compression input data and encode a first compression input data of the series to a latent space representation of the first compression input data. The data compression software code further decodes the latent space representation to produce an input space representation of the first compression input data corresponding to the latent space representation, and generates f refined latent values for re-encoding the first compression input data based on a comparison of the first compression input data with its input space representation. The data compression software code then re-encodes the first compression input data using the refined latent values to produce a first compressed data corresponding to the first compression input data.
    Type: Application
    Filed: May 15, 2019
    Publication date: November 19, 2020
    Inventors: Christopher Schroers, Simon Meierhans, Joaquim Campos, Jared McPhillen, Abdelaziz Djelouah, Erika Varis Doggett, Scott Labrozzi, Yuanyi Xue