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公开(公告)号:US20250063239A1
公开(公告)日:2025-02-20
申请号:US18616100
申请日:2024-03-25
Applicant: StoryFile, Inc.
Inventor: Samuel Michael Gustman , Andrew Victor Jones , Michael Glenn Harless , Stephen David Smith , Heather Lynn Smith , Radoslav Momchilov Petkov
IPC: H04N21/8545 , G06F16/332 , G06Q10/1053 , G10L15/26
Abstract: Example systems, methods, and non-transitory computer readable media are directed to an AI-assisted interview system that provides real-time analysis and suggestions during video and audio interviews. The system can analyze questions, response text, audio, and video in real-time and suggest follow-up topics and questions. Suggested topics and questions can optimize for breadth by sampling under-sampled semantic regions and/or depth by identifying related questions. The system can provide clarification suggestions for ambiguous responses and measure quality metrics for questions and answers.
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公开(公告)号:US20230274481A1
公开(公告)日:2023-08-31
申请号:US18175945
申请日:2023-02-28
Applicant: StoryFile, Inc.
Inventor: Samuel Michael Gustman , Andrew Victor Jones , Michael Glenn Harless , Stephen David Smith , Heather Lynn Smith
CPC classification number: G06T11/60 , G06F16/632 , G06T13/00 , G06V10/77 , G06V10/86 , G06V10/945 , G06V20/70 , G06T2200/24 , G06V2201/10
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.
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公开(公告)号:US12067657B2
公开(公告)日:2024-08-20
申请号:US18175945
申请日:2023-02-28
Applicant: StoryFile, Inc.
Inventor: Samuel Michael Gustman , Andrew Victor Jones , Michael Glenn Harless , Stephen David Smith , Heather Lynn Smith
CPC classification number: G06T11/60 , G06F16/632 , G06T13/00 , G06V10/77 , G06V10/86 , G06V10/945 , G06V20/70 , G06T2200/24 , G06V2201/10
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.
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