Patents by Inventor Johannes Walter Schmude

Johannes Walter Schmude 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: 11874415
    Abstract: From each of a plurality of cameras, a visual input of a location is received over a network. For each visual input from the plurality of cameras, a coupling correction is performed between a shaking of the camera with respect to the visual input by subtracting velocity vectors of the plurality of cameras from velocity vectors of pixels defining the visual input to provide a processed input. It is determined whether a shaking identified in the processed input is above a predetermined threshold based on the processed input, thereby detecting one or more anomalies. From the one or more anomalies, at least one of a location, magnitude, or depth of an earthquake are inferred based on the shaking identified in the processed input of each of the plurality of cameras.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: January 16, 2024
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Carlo Siebenschuh, Conrad M. Albrecht, Johannes Walter Schmude, Hendrik F. Hamann, Siyuan Lu, Oki Gunawan
  • Publication number: 20220196860
    Abstract: From each of a plurality of cameras, a visual input of a location is received over a network. For each visual input from the plurality of cameras, a coupling correction is performed between a shaking of the camera with respect to the visual input by subtracting velocity vectors of the plurality of cameras from velocity vectors of pixels defining the visual input to provide a processed input. It is determined whether a shaking identified in the processed input is above a predetermined threshold based on the processed input, thereby detecting one or more anomalies. From the one or more anomalies, at least one of a location, magnitude, or depth of an earthquake are inferred based on the shaking identified in the processed input of each of the plurality of cameras.
    Type: Application
    Filed: December 22, 2020
    Publication date: June 23, 2022
    Inventors: Carlo Siebenschuh, Conrad M. Albrecht, Johannes Walter Schmude, Hendrik F. Hamann, Siyuan Lu, Oki Gunawan
  • Patent number: 11360970
    Abstract: A computer-implemented method includes accessing, by a processing unit, an existing layer representing geospatial-temporal data at a selected timestamp. A first overview layer of the existing layer is generated by iteratively aggregating each cluster of cells of the existing layer into a corresponding lower-resolution cell of the first overview layer. The first overview layer therefore has a lower resolution than the existing layer. A query is received related to the geospatial-temporal data in the existing layer, and the query is processed with reference to the first overview layer.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: June 14, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Marcus Oliver Freitag, Conrad M. Albrecht, Fernando Jimenez Marianno, Siyuan Lu, Hendrik F. Hamann, Johannes Walter Schmude
  • Publication number: 20200151272
    Abstract: A computer-implemented method includes accessing, by a processing unit, an existing layer representing geospatial-temporal data at a selected timestamp. A first overview layer of the existing layer is generated by iteratively aggregating each cluster of cells of the existing layer into a corresponding lower-resolution cell of the first overview layer. The first overview layer therefore has a lower resolution than the existing layer. A query is received related to the geospatial-temporal data in the existing layer, and the query is processed with reference to the first overview layer.
    Type: Application
    Filed: November 13, 2018
    Publication date: May 14, 2020
    Inventors: Marcus Oliver Freitag, Conrad M. Albrecht, Fernando Jimenez Marianno, Siyuan Lu, Hendrik F. Hamann, Johannes Walter Schmude