Invention Grant
- Patent Title: Machine learning model and neural network to predict data anomalies and content enrichment of digital images for use in video generation
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Application No.: US17829445Application Date: 2022-06-01
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Publication No.: US12087047B2Publication Date: 2024-09-10
- Inventor: Bo Yang , Steven C. Freed
- Applicant: Celebr8 Life, Inc.
- Applicant Address: US PA Bethlehem
- Assignee: Celebr8 Life
- Current Assignee: Celebr8 Life
- Current Assignee Address: US PA Bethlehem
- Agent James R. McDaniel
- Main IPC: G06V10/82
- IPC: G06V10/82 ; G06V10/422 ; G06V10/778 ; G06V20/40

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.
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Information query