Patents by Inventor Tzer-Jen Wei

Tzer-Jen Wei 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: 11290345
    Abstract: A method for enhancing quality of media uses an AI enhancing model built-in the client device to enhance the quality of video streams. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: March 29, 2022
    Assignee: Kabushiki Kaisha Ubitus
    Inventors: Jung-Chang Kuo, Tzer-Jen Wei, An-Lun Teng, Yu-Ju Tseng, Rong Chiang
  • Publication number: 20200177470
    Abstract: A method for enhancing quality of media uses an AI enhancing model built-in the client device to enhance the quality of video streams. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using to algorithms which are defined by analyzing differences between the decoded images and the raw images. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.
    Type: Application
    Filed: February 5, 2020
    Publication date: June 4, 2020
    Applicant: Kabushiki Kaisha Ubitus
    Inventors: Jung-Chang Kuo, Tzer-Jen Wei, An-Lun Teng, Yu-Ju Tseng, Rong Chiang
  • Patent number: 10574537
    Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.
    Type: Grant
    Filed: April 5, 2019
    Date of Patent: February 25, 2020
    Assignee: Kabushiki Kaisha Ubitus
    Inventors: Jung-Chang Kuo, Tzer-Jen Wei, An-Lun Teng, Yu-Ju Tseng, Rong Chiang
  • Publication number: 20200014603
    Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.
    Type: Application
    Filed: April 5, 2019
    Publication date: January 9, 2020
    Applicant: Kabushiki Kaisha Ubitus
    Inventors: Jung-Chang Kuo, Tzer-Jen Wei, An-Lun Teng, Yu-Ju Tseng, Rong Chiang
  • Patent number: 10284432
    Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.
    Type: Grant
    Filed: July 3, 2018
    Date of Patent: May 7, 2019
    Assignee: Kabushiki Kaisha Ubitus
    Inventors: Jung-Chang Kuo, Tzer-Jen Wei, An-Lun Teng, Yu-Ju Tseng, Rong Chiang