Patents by Inventor Steven C. Freed

Steven C. Freed 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).

  • Machine learning model and neural network to predict data anomalies and content enrichment of digital images for use in video generation
    Patent number: 12087047
    Abstract: Systems, methods, and other embodiments for selecting, enriching and sequencing digital media content to produce a narrative-oriented, ordered sub-collection of media such as for movie creation. The method identifies, evaluates, assesses, stores, enriches, groups, and sequences content. The method identifies the content metadata. When metadata are missing or anomalous, the method attempts to populate or correct the metadata and store that new content in the database. The method evaluates content for focus quality and may exclude content based on rules. The method assesses the content storing the people and their emotional level, animals, objects, locations, landmarks and date/time in the database. The method can then enrich the remaining content by providing map, photo, video, text, and audio content. The method uses selecting criteria for grouping and sequencing content by date, time, person, etc. and compiling the sequenced groups into the final narrative ready for distribution, e.g., movie creation.
    Type: Grant
    Filed: June 1, 2022
    Date of Patent: September 10, 2024
    Assignee: Celebr8 Life
    Inventors: Bo Yang, Steven C. Freed
  • MACHINE LEARNING MODEL AND NEURAL NETWORK TO PREDICT DATA ANOMALIES AND CONTENT ENRICHMENT OF DIGITAL IMAGES FOR USE IN VIDEO GENERATION
    Publication number: 20220415035
    Abstract: Systems, methods, and other embodiments for selecting, enriching and sequencing digital media content to produce a narrative-oriented, ordered sub-collection of media such as for movie creation. The method identifies, evaluates, assesses, stores, enriches, groups, and sequences content. The method identifies the content metadata. When metadata are missing or anomalous, the method attempts to populate or correct the metadata and store that new content in the database. The method evaluates content for focus quality and may exclude content based on rules. The method assesses the content storing the people and their emotional level, animals, objects, locations, landmarks and date/time in the database. The method can then enrich the remaining content by providing map, photo, video, text, and audio content. The method uses selecting criteria for grouping and sequencing content by date, time, person, etc. and compiling the sequenced groups into the final narrative ready for distribution, e.g., movie creation.
    Type: Application
    Filed: June 1, 2022
    Publication date: December 29, 2022
    Applicant: Celebr8 Life, Inc.
    Inventors: Bo Yang, Steven C. Freed