Patents by Inventor Weichu Cui

Weichu Cui 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).

  • Automated prediction of pixel error noticeability
    Patent number: 11797649
    Abstract: A system includes a hardware processor and a memory storing a software code including a predictive model. The hardware processor executes the software code to receive an input including an image having a pixel anomaly, and image data identifying the location of the pixel anomaly in the image. The software code uses the predictive model to extract a global feature map of a global image region of the image, the pixel anomaly being located within the global image region; to extract a local feature map of a local image region of the image, the pixel anomaly being located within the local image region and the local image region being smaller than the global image region; and to predict, based on the global feature map and the local feature map, a distraction level of the pixel anomaly within the image.
    Type: Grant
    Filed: October 3, 2022
    Date of Patent: October 24, 2023
    Assignee: Disney Enterprises, Inc.
    Inventors: Erika Varis Doggett, David T. Nguyen, Erick Keyu Qi, Yingying Zhong, Weichu Cui, Anna M. Wolak
  • Automated Prediction of Pixel Error Noticeability
    Publication number: 20230028420
    Abstract: A system includes a hardware processor and a memory storing a software code including a predictive model. The hardware processor executes the software code to receive an input including an image having a pixel anomaly, and image data identifying the location of the pixel anomaly in the image. The software code uses the predictive model to extract a global feature map of a global image region of the image, the pixel anomaly being located within the global image region; to extract a local feature map of a local image region of the image, the pixel anomaly being located within the local image region and the local image region being smaller than the global image region; and to predict, based on the global feature map and the local feature map, a distraction level of the pixel anomaly within the image.
    Type: Application
    Filed: October 3, 2022
    Publication date: January 26, 2023
    Inventors: Erika Varis Doggett, David T. Nguyen, Erick Keyu Qi, Yingying Zhong, Weichu Cui, Anna M. Wolak
  • Automated prediction of pixel error noticeability
    Patent number: 11494584
    Abstract: A system includes a hardware processor and a memory storing a software code including a predictive model. The hardware processor executes the software code to receive an input including an image having a pixel anomaly, and image data identifying the location of the pixel anomaly in the image. The software code uses the predictive model to extract a global feature map of a global image region of the image, the pixel anomaly being located within the global image region; to extract a local feature map of a local image region of the image, the pixel anomaly being located within the local image region and the local image region being smaller than the global image region; and to predict, based on the global feature map and the local feature map, a distraction level of the pixel anomaly within the image.
    Type: Grant
    Filed: January 12, 2021
    Date of Patent: November 8, 2022
    Assignee: Disney Enterprises, Inc.
    Inventors: Erika Varis Doggett, David T. Nguyen, Erick Keyu Qi, Yingying Zhong, Weichu Cui, Anna M. Wolak
  • Automated Prediction of Pixel Error Noticeability
    Publication number: 20220222487
    Abstract: A system includes a hardware processor and a memory storing a software code including a predictive model. The hardware processor executes the software code to receive an input including an image having a pixel anomaly, and image data identifying the location of the pixel anomaly in the image. The software code uses the predictive model to extract a global feature map of a global image region of the image, the pixel anomaly being located within the global image region; to extract a local feature map of a local image region of the image, the pixel anomaly being located within the local image region and the local image region being smaller than the global image region; and to predict, based on the global feature map and the local feature map, a distraction level of the pixel anomaly within the image.
    Type: Application
    Filed: January 12, 2021
    Publication date: July 14, 2022
    Inventors: Erika Varis Doggett, David T. Nguyen, Erick Keyu Qi, Yingying Zhong, Weichu Cui, Anna M. Wolak