Invention Grant
- Patent Title: Digital image annotation and retrieval systems and methods
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Application No.: US18175945Application Date: 2023-02-28
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Publication No.: US12067657B2Publication Date: 2024-08-20
- Inventor: Samuel Michael Gustman , Andrew Victor Jones , Michael Glenn Harless , Stephen David Smith , Heather Lynn Smith
- Applicant: StoryFile, Inc.
- Applicant Address: US CA Los Angeles
- Assignee: Story File, Inc.
- Current Assignee: Story File, Inc.
- Current Assignee Address: US CA Los Angeles
- Agency: Ahmann Kloke LLP
- Main IPC: G06F3/048
- IPC: G06F3/048 ; G06F16/632 ; G06T11/60 ; G06T13/00 ; G06V10/77 ; G06V10/86 ; G06V10/94 ; G06V20/70

Abstract:
In a digital image annotation and retrieval system, a machine learning model identifies an image feature in an image and generates a plurality of question prompts for the feature. For a particular feature, a feature annotation is generated, which can include capturing a narrative, determining a plurality of narrative units, and mapping a particular narrative unit to the identified image feature. An enriched image is generated using the generated feature annotation. The enriched image includes searchable metadata comprising the feature annotation and the plurality of question prompts.
Public/Granted literature
- US20230274481A1 DIGITAL IMAGE ANNOTATION AND RETRIEVAL SYSTEMS AND METHODS Public/Granted day:2023-08-31
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