Patents by Inventor Peter Seidel

Peter Seidel 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: 20210308731
    Abstract: A method ascertains control variables for active profile and flatness control elements for at least one rolling stand for hot rolling metal strip with a plurality of i=1 . . . I successive passes and for ascertaining profile and center flatness values for the hot-rolled metal strip. The occurrence of fluctuations in the center flatness of the metal strip after the individual passes and the resulting disadvantages for the rolling stability and the product quality are prevented. The method provides that, also for the target center flatness of the metal strip after a predetermined pass k with i=1 . . . <k< . . . I and for the target center flatness after the subsequent passes, pass-specific interval ranges are also specified in each case, and in that the successive calculation of the control variables and profile values is then carried out taking into account such additional specifications as well.
    Type: Application
    Filed: July 18, 2019
    Publication date: October 7, 2021
    Applicant: SMS group GmbH
    Inventors: Jürgen SEIDEL, Uwe BAUMGÄRTEL, Ralf WACHSMANN, Peter BONEKEMPER
  • Patent number: 11102231
    Abstract: A system for scanning a network includes an interface and a processor. The interface is configured to receive an indication to scan a set of network addresses. The processor is configured to determine a set of available scanning nodes and determine a job plan for scanning the set of network addresses using the set of available scanning nodes. The job plan includes one or more job portions. The processor is configured to, for a job portion of the one or more job portions, select a scanning node of the set of available scanning nodes and provide the job portion to the scanning node.
    Type: Grant
    Filed: March 22, 2017
    Date of Patent: August 24, 2021
    Assignee: Palo Alto Network, Inc.
    Inventors: Matthew Kraning, Matthew Anderson, Peter Dickinson, Corey Fredericks, John Holliman, Andrew Seidel
  • Patent number: 10931961
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: October 15, 2018
    Date of Patent: February 23, 2021
    Assignee: Max-Planck-Gesellschaft Zur Forderung Der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20200327713
    Abstract: The invention relates to a method for transmitting 3D model data, the 3D model data comprising polygons, from a server to a client for rendering, the method comprising: obtaining the 3D model data by the server; and transmitting the 3D model data from the server to the client. According to the invention, the 3D model data is obtained by the server, based on a given multitude of possible views.
    Type: Application
    Filed: April 27, 2020
    Publication date: October 15, 2020
    Inventors: Jozef Hladký, Markus Steinberger, Hans-Peter Seidel
  • Publication number: 20190052892
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: October 15, 2018
    Publication date: February 14, 2019
    Applicant: MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 10165297
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: December 25, 2018
    Assignee: Max-Planck-Gesellschaft Zur Forderung Der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20180103263
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: November 30, 2017
    Publication date: April 12, 2018
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 9894374
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: October 21, 2016
    Date of Patent: February 13, 2018
    Assignee: Max-Planck-Gesellschaft Zur Forderund Der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20180025686
    Abstract: The present invention relates to a method and a device for emulating frame rates in video or motion picture.
    Type: Application
    Filed: February 11, 2016
    Publication date: January 25, 2018
    Inventors: Krzysztof TEMPLIN, Karol MYSZKOWSKI, Hans-Peter SEIDEL, Piotr DIDYK
  • Patent number: 9619704
    Abstract: The present technology relates to a computer-implemented method for tracking an object in a sequence of multi-view input video images comprising the steps of acquiring a model of the object, tracking the object in the multi-view input video image sequence, and using the model.
    Type: Grant
    Filed: November 15, 2013
    Date of Patent: April 11, 2017
    Assignee: MAX-PLANCK GESELLSCHAFT SUR FÖRDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Nils Hasler, Carsten Stoll, Christian Theobalt, Juergen Gall, Hans-Peter Seidel
  • Publication number: 20170041626
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: October 21, 2016
    Publication date: February 9, 2017
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 9544610
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: October 30, 2015
    Date of Patent: January 10, 2017
    Assignee: Max-Planck-Gesellschaft Zur Förderung Der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20160119638
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: October 30, 2015
    Publication date: April 28, 2016
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 9210439
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: February 9, 2015
    Date of Patent: December 8, 2015
    Assignee: MAX-PLANCK GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Patent number: 9191579
    Abstract: The invention concerns a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the digital video, based on the adapted body model and outputting the digital video.
    Type: Grant
    Filed: November 29, 2011
    Date of Patent: November 17, 2015
    Assignee: MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN
    Inventors: Hans-Peter Seidel, Christian Theobalt, Thorsten Thormaehlen, Arjun Jain
  • Publication number: 20150156506
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: February 9, 2015
    Publication date: June 4, 2015
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL
  • Patent number: 8989267
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Grant
    Filed: November 8, 2013
    Date of Patent: March 24, 2015
    Assignee: Max-Planck-Gesellschaft zur Forderung der Wissenschaften E.V.
    Inventors: Alexander Efremov, Rafal Mantiuk, Grzegorz Krawczyk, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20140218488
    Abstract: According to the invention, a computer-implemented method for processing digital stereo image content, comprises the steps of estimating a perceived disparity of the stereo image content and processing the stereo image content, based on the estimated perceived disparity.
    Type: Application
    Filed: May 18, 2012
    Publication date: August 7, 2014
    Applicants: Max-Planck-Gesellschaft zur Forderung der Wissenschaften e.V, UNIVERSITAT DES SAARLANDES
    Inventors: Piotr Didyk, Tobias Ritschel, Elmar Eisemann, Karol Myszkowski, Hans-Peter Seidel
  • Publication number: 20140210844
    Abstract: A method and device for efficiently simulating lens flares produced by an optical system is provided. The method comprises the steps of—Simulating paths of rays from a light source through the optical system, the rays representing light; and Estimating, for points in a sensor plane, an irradiance, based on intersections of the simulated paths with the sensor plane.
    Type: Application
    Filed: April 29, 2011
    Publication date: July 31, 2014
    Applicants: UNIVERSITAT DES SAARLANDES, MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Matthias Hullin, Sungkil Lee, Hans-Peter Seidel, Elmar Eisemann
  • Publication number: 20140086321
    Abstract: A method for encoding high dynamic range (HDR) images involves providing a lower dynamic range (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
    Type: Application
    Filed: November 8, 2013
    Publication date: March 27, 2014
    Applicant: MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN E.V.
    Inventors: Alexander EFREMOV, Rafal MANTIUK, Grzegorz KRAWCZYK, Karol MYSZKOWSKI, Hans-Peter SEIDEL