Patents by Inventor Remi JULLIAN

Remi JULLIAN 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).

  • Publication number: 20240064316
    Abstract: Apparatuses and methods for encoding or decoding picture information that involve determining a scaling factor to scale a chroma prediction residual associated with chroma information included in the picture information; scaling the chroma prediction residual based on the scaling factor to provide a scaled chroma prediction residual; and encoding or decoding at least a portion of the picture information based on the scaled chroma prediction residual.
    Type: Application
    Filed: November 1, 2023
    Publication date: February 22, 2024
    Inventors: Edouard FRANCOIS, Remi JULLIAN, Franck HIRON
  • Patent number: 11843791
    Abstract: Encoding or decoding picture information can involve determining a first scaling factor varying with a first granularity to scale a chroma prediction residual associated with chroma information included in the picture information; determining a second scaling factor varying with a second granularity finer than the first granularity; scaling the chroma prediction residual based on a combination of the first scaling factor and the second scaling factor to provide a scaled chroma prediction residual with the second granularity; and encoding or decoding at least a portion of the picture information based on the scaled chroma prediction residual.
    Type: Grant
    Filed: April 28, 2020
    Date of Patent: December 12, 2023
    Assignee: InterDigital Madison Patent Holdings, SAS
    Inventors: Edouard Francois, Remi Jullian, Franck Hiron
  • Patent number: 11830210
    Abstract: A method and device for generating points of a 3D scene from a depth image. To reach that aim, depth information associated with a current pixel is compared with depth information associated with pixels spatially adjacent to the current pixel in the depth image. When the difference of depth between the current pixel and an adjacent pixel is greater than a first value and less than a second value, at least an additional point of said 3D scene is generated, in addition to a current point associated with the current pixel of the depth image, the number of additional points depending on the depth difference.
    Type: Grant
    Filed: October 3, 2018
    Date of Patent: November 28, 2023
    Assignee: InterDigital VC Holdings, Inc.
    Inventors: Sebastien Lasserre, Julien Ricard, Remi Jullian
  • Publication number: 20220337848
    Abstract: Encoding or decoding picture information can involve determining a first scaling factor varying with a first granularity to scale a chroma prediction residual associated with chroma information included in the picture information; determining a second scaling factor varying with a second granularity finer than the first granularity; scaling the chroma prediction residual based on a combination of the first scaling factor and the second scaling factor to provide a scaled chroma prediction residual with the second granularity; and encoding or decoding at least a portion of the picture information based on the scaled chroma prediction residual.
    Type: Application
    Filed: April 28, 2020
    Publication date: October 20, 2022
    Inventors: Edouard Francois, Remi Jullian, Franck Hiron
  • Publication number: 20200252657
    Abstract: The present principles relate to a method and device for encoding the geometry of a point cloud representing a 3D object. The method comprises: a) obtaining (210) at least one candidate octree-based structure (Ok) with a maximum depth level (?k) from the points of said point cloud, each candidate octree-based structure (Ok) approximating the geometry of the point cloud by points associated with leaf cubes, each leaf cube being associated with a leaf node of said candidate octree-based structure (Ok); b) obtaining (230) a coding cost (Ck) for said at least one candidate octree-based structure (Ok) with a maximum depth level (?k); c) encoding (250) an optimal octree-based structure (Oopt) with a maximum depth level (?opt) obtained by optimizing (240) said coding cost obtained for said at least one candidate octree-based structure (Ok); and d) encoding (260) a depth information data (DIDopt) representative of the maximum depth level (?opt) of said optimal octree-based structure (Oopt).
    Type: Application
    Filed: October 4, 2018
    Publication date: August 6, 2020
    Inventors: Sebastien LASSERRE, Remi JULLIAN, Jean-Claude Chevet