Patents by Inventor Zhenyong Chen

Zhenyong Chen 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: 10630994
    Abstract: A decoding method includes: decoding from the video bitstream a prediction status parameter indicative of whether SOP is enabled; if the SOP is enabled, determining a SOP type indicative of a specific operation for predicting a current picture of the video bitstream; and determining a predicted picture by applying the specific operation to at least one of a reference picture for the current picture and the current picture, in which the specific operation includes at least one of rotation and zoom. An encoding method includes: if SOP is enabled, determining SOP data indicative of a specific operation for predicting a current picture of a video sequence; determining a predicted picture by applying the specific operation to at least one of a reference picture for the current picture and the current picture, in which the specific operation includes at least one of rotation and zoom; and encoding the SOP data.
    Type: Grant
    Filed: June 28, 2017
    Date of Patent: April 21, 2020
    Assignee: Agora Lab, Inc.
    Inventors: Jiali Li, Jian Lou, Zhenyong Chen, Zhonghou Zheng, Wei Dai, Qianzong Chen
  • Patent number: 10289634
    Abstract: A data-clustering method generates data clusters for a set of data points. A region of interest containing the data points and a center matrix for the region of interest are defined, where the center matrix includes an array of center points defining centers of overlapping circles. The data points are mapped to corresponding circles based on near center points. Pairs of overlapping circles are merged based on relative numbers of data points lying in overlap regions of the pairs of overlapping circles compared to total numbers of data points within the corresponding circles. Circles belonging to the one or more data clusters are identified based on merged pairs of overlapping circles, and data points belonging to the one or more data clusters are identified based on the corresponding circles. The method may be performed by a computer having a heterogeneous architecture with parallel processors.
    Type: Grant
    Filed: September 5, 2016
    Date of Patent: May 14, 2019
    Assignee: NXP USA, INC.
    Inventors: Xiong Xiao, Zhenyong Chen, Xianzhong Li
  • Publication number: 20190007687
    Abstract: A decoding method includes: decoding from the video bitstream a prediction status parameter indicative of whether SOP is enabled; if the SOP is enabled, determining a SOP type indicative of a specific operation for predicting a current picture of the video bitstream; and determining a predicted picture by applying the specific operation to at least one of a reference picture for the current picture and the current picture, in which the specific operation includes at least one of rotation and zoom. An encoding method includes: if SOP is enabled, determining SOP data indicative of a specific operation for predicting a current picture of a video sequence; determining a predicted picture by applying the specific operation to at least one of a reference picture for the current picture and the current picture, in which the specific operation includes at least one of rotation and zoom; and encoding the SOP data.
    Type: Application
    Filed: June 28, 2017
    Publication date: January 3, 2019
    Inventors: Jiali Li, Jian Lou, Zhenyong Chen, Zhonghou Zheng, Wei Dai, Qianzong Chen
  • Publication number: 20170132307
    Abstract: A data-clustering method generates data clusters for a set of data points. A region of interest containing the data points and a center matrix for the region of interest are defined, where the center matrix includes an array of center points defining centers of overlapping circles. The data points are mapped to corresponding circles based on near center points. Pairs of overlapping circles are merged based on relative numbers of data points lying in overlap regions of the pairs of overlapping circles compared to total numbers of data points within the corresponding circles. Circles belonging to the one or more data clusters are identified based on merged pairs of overlapping circles, and data points belonging to the one or more data clusters are identified based on the corresponding circles. The method may be performed by a computer having a heterogeneous architecture with parallel processors.
    Type: Application
    Filed: September 5, 2016
    Publication date: May 11, 2017
    Inventors: XIONG XIAO, Zhenyong Chen, Xianzhong Li