Patents by Inventor Michael Kozakov

Michael Kozakov 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: 12277638
    Abstract: Method for generating media content items on demand starts with a processor receiving an animation file including a first metadata based on an animation input. The animation file is associated with a media content identification. The processor generates puppets associated with frames in the animation file using the first metadata. The processor causes a puppet matching interface to be displayed on a client device. The puppet matching interface includes one of the puppets in a first pose. The processor receives a puppet posing input associated with a second pose from the client device. The processor causes the one of the puppets to be displayed in the second pose in the puppet matching interface by the client device. The processor can also generate a second metadata based on the puppet posing input. Other embodiments are disclosed herein.
    Type: Grant
    Filed: November 22, 2022
    Date of Patent: April 15, 2025
    Assignee: Snap Inc.
    Inventors: Bradley Kotsopoulos, Michael Kozakov, Yingying Wang, Nicholas Hendriks, Derek Spencer
  • Publication number: 20250069306
    Abstract: Systems, methods, and computer readable media for customizable avatar generation system, where the methods include accessing text data, processing, using at least one processor, the text data to determine first characteristics of the text data, selecting a personalized avatar of a plurality of personalized avatars for the text data based on matching the first characteristics with second characteristics of the plurality of personalized avatars, generating a customized avatar based on the text data and the selected personalized avatar, and causing the customized avatar to be displayed on a display of a computing device.
    Type: Application
    Filed: November 13, 2024
    Publication date: February 27, 2025
    Inventors: Michael Kozakov, Avie Seegobin, Mark Anthony Cabuena
  • Patent number: 12175570
    Abstract: Systems, methods, and computer readable media for customizable avatar generation system, where the methods include accessing text data, processing, using at least one processor, the text data to determine first characteristics of the text data, selecting a personalized avatar of a plurality of personalized avatars for the text data based on matching the first characteristics with second characteristics of the plurality of personalized avatars, generating a customized avatar based on the text data and the selected personalized avatar, and causing the customized avatar to be displayed on a display of a computing device.
    Type: Grant
    Filed: March 30, 2022
    Date of Patent: December 24, 2024
    Assignee: SNAP INC.
    Inventors: Michael Kozakov, Avie Seegobin, Mark Anthony Cabuena
  • Patent number: 12067663
    Abstract: Method for generating media content items on demand starts with a processor receiving an animation file including a first metadata based on an animation input. The animation file is associated with a media content identification. The processor generates puppets associated with frames in the animation file using the first metadata. The processor causes a puppet matching interface to be displayed on a client device. The puppet matching interface includes one of the puppets in a first pose. The processor receives a puppet posing input associated with a second pose from the client device. The processor causes the one of the puppets to be displayed in the second pose in the puppet matching interface by the client device. The processor can also generate a second metadata based on the puppet posing input. Other embodiments are disclosed herein.
    Type: Grant
    Filed: November 22, 2022
    Date of Patent: August 20, 2024
    Assignee: Snap Inc.
    Inventors: Bradley Kotsopoulos, Michael Kozakov, Yingying Wang, Nicholas Hendriks, Derek Spencer
  • Patent number: 11651539
    Abstract: Method for generating media content items on demand starts with a processor receiving an animation file including a first metadata based on an animation input. The animation file is associated with a media content identification. The processor generates puppets associated with frames in the animation file using the first metadata. The processor causes a puppet matching interface to be displayed on a client device. The puppet matching interface includes one of the puppets in a first pose. The processor receives a puppet posing input associated with a second pose from the client device. The processor causes the one of the puppets to be displayed in the second pose in the puppet matching interface by the client device. The processor can also generate a second metadata based on the puppet posing input. Other embodiments are disclosed herein.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: May 16, 2023
    Assignee: Snap Inc.
    Inventors: Bradley Kotsopoulos, Michael Kozakov, Yingying Wang, Nicholas Hendriks, Derek Spencer
  • Patent number: 11514635
    Abstract: Method for generating media content items on demand starts with a processor receiving an animation file including a first metadata based on an animation input. The animation file is associated with a media content identification. The processor generates puppets associated with frames in the animation file using the first metadata. The processor causes a puppet matching interface to be displayed on a client device. The puppet matching interface includes one of the puppets in a first pose. The processor receives a puppet posing input associated with a second pose from the client device. The processor causes the one of the puppets to be displayed in the second pose in the puppet matching interface by the client device. The processor can also generate a second metadata based on the puppet posing input. Other embodiments are disclosed herein.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: November 29, 2022
    Assignee: Snap Inc.
    Inventors: Bradley Kotsopoulos, Michael Kozakov, Yingying Wang, Nicholas Hendriks, Derek Spencer
  • Publication number: 20220319078
    Abstract: Systems, methods, and computer readable media for customizable avatar generation system, where the methods include accessing text data, processing, using at least one processor, the text data to determine first characteristics of the text data, selecting a personalized avatar of a plurality of personalized avatars for the text data based on matching the first characteristics with second characteristics of the plurality of personalized avatars, generating a customized avatar based on the text data and the selected personalized avatar, and causing the customized avatar to be displayed on a display of a computing device.
    Type: Application
    Filed: March 30, 2022
    Publication date: October 6, 2022
    Inventors: Michael Kozakov, Avie Seegobin, Mark Anthony Cabuena
  • Publication number: 20210241512
    Abstract: Method for generating media content items on demand starts with a processor receiving an animation file including a first metadata. based on an animation input. The animation file is associated with a media content identification. The processor generates puppets associated with frames in the animation file using the first metadata. The processor causes a puppet matching interface to be displayed on a client device. The puppet matching interface includes one of the puppets in a first pose. The processor receives a puppet posing input associated with a second pose from the client device, The processor causes the one of the puppets to be displayed in the second pose in the puppet matching interface by the client device. The processor can also generate a second metadata based on the puppet posing input. Other embodiments are disclosed herein.
    Type: Application
    Filed: January 29, 2021
    Publication date: August 5, 2021
    Inventors: Bradley Kotsopoulos, Michael Kozakov, Yingying Wang, Nicholas Hendriks, Derek Spencer