Patents by Inventor Allen Yang Liu

Allen Yang Liu 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).

  • SYSTEMS AND METHODS FOR PREDICTING VIDEO QUALITY BASED ON OBJECTIVES OF VIDEO PRODUCER
    Publication number: 20230053235
    Abstract: Systems, methods, and non-transitory computer-readable media can collect a set of training videos as training data, wherein the set of training videos are labeled with one or more labels based on one or more video quality metrics associated with an evaluation objective. A machine learning model is trained based on the training data. A video to be evaluated is received. The video is assigned to a first video quality category of a plurality of video quality categories based on the machine learning model.
    Type: Application
    Filed: November 2, 2022
    Publication date: February 16, 2023
    Inventors: Wook Jin Chung, Ziheng Wang, Allen Yang Liu, Joyce Marie Hodel
  • Systems and methods for predicting video quality based on objectives of video producer
    Patent number: 11521386
    Abstract: Systems, methods, and non-transitory computer-readable media can collect a set of training videos as training data, wherein the set of training videos are labeled with one or more labels based on one or more video quality metrics associated with an evaluation objective. A machine learning model is trained based on the training data. A video to be evaluated is received. The video is assigned to a first video quality category of a plurality of video quality categories based on the machine learning model.
    Type: Grant
    Filed: July 26, 2019
    Date of Patent: December 6, 2022
    Assignee: Meta Platforms, Inc.
    Inventors: Wook Jin Chung, Ziheng Wang, Allen Yang Liu, Joyce Marie Hodel
  • SYSTEMS AND METHODS FOR PREDICTING VIDEO QUALITY BASED ON OBJECTIVES OF VIDEO PRODUCER
    Publication number: 20210027065
    Abstract: Systems, methods, and non-transitory computer-readable media can collect a set of training videos as training data, wherein the set of training videos are labeled with one or more labels based on one or more video quality metrics associated with an evaluation objective. A machine learning model is trained based on the training data. A video to be evaluated is received. The video is assigned to a first video quality category of a plurality of video quality categories based on the machine learning model.
    Type: Application
    Filed: July 26, 2019
    Publication date: January 28, 2021
    Inventors: Wook Jin Chung, Ziheng Wang, Allen Yang Liu, Joyce Marie Hodel