Patents by Inventor Noam Lerner

Noam Lerner 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: 20250047969
    Abstract: Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for providing a template for media content generation. The program and method provide for receiving, from a first device of a first user, an indication of first user input setting properties to create a template for combining user-selected media with an audio track, the properties specifying the audio track, a sequence of media slots, a duration for each media slot, and predefined edits for applying to the media slots; causing display of a user interface on a second device of a second user, the user interface for assigning a respective video or photo to each media slot; and receiving, from the second device, a media content item generated based on second user input provided via the user interface, the second user input assigning the respective video or photo to each media slot.
    Type: Application
    Filed: July 31, 2023
    Publication date: February 6, 2025
    Inventors: Matthew Mahar, Vineet Kapil, Kaveh Anvaripour, Ranidu Lankage, Anton Shevchenko, Xin Su, Benjamin Lin, Noam Lerner, Rasana Manandhar, Prasad Tare, Dustin Kendall
  • Patent number: 11178212
    Abstract: Various of the present embodiments convert structured data to a channel-based representation facilitating pattern recognition by a compression utility. The channels may include a key channel, a number channel, a type channel, a length channel, etc. These channels reflect the same information as the structured data, but reorganized based upon the structured data's hierarchic structure. The encoder and decoder may include rule sets specifying the relations between the channels to deconstruct/construct the JSON file. Memoization, length encoding, and type encoding extensions may also be applied as part of the encoding/decoding process to further improve compression.
    Type: Grant
    Filed: July 29, 2014
    Date of Patent: November 16, 2021
    Assignee: Facebook, Inc.
    Inventors: Benjamin Maurer, Noam Lerner
  • Publication number: 20160034499
    Abstract: Various of the present embodiments convert structured data to a channel-based representation facilitating pattern recognition by a compression utility. The channels may include a key channel, a number channel, a type channel, a length channel, etc. These channels reflect the same information as the structured data, but reorganized based upon the structured data's hierarchic structure. The encoder and decoder may include rule sets specifying the relations between the channels to deconstruct/construct the JSON file. Memoization, length encoding, and type encoding extensions may also be applied as part of the encoding/decoding process to further improve compression.
    Type: Application
    Filed: July 29, 2014
    Publication date: February 4, 2016
    Inventors: Benjamin Maurer, Noam Lerner