Storyfile, LLC

Stephen Smith

Samuel Gustman

Andrew Victor Jones

Heather Maio-Smith

Julia Campbell

Michael Glenn Harless

Heather Lynn Smith

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.

Digital image annotation and retrieval systems and methods

The present application discloses a multi-media interactive story-telling system that provides natural conversational interactions between a human user and a contributor who appears in multi-media recordings. The multi-media interactive story-telling system includes an intake device for recording interview sessions in which a contributor tells a life story about her life experience. The contributor may rely on a script when creating the life story. The multi-media interactive story-telling system further comprises storage devices for storing the recorded interview sessions and processors for organizing the recorded interview sessions. The multi-media interactive story-telling system further comprises an interactive device for retrieving and playing a recorded interview session in response to a query from a user.

Natural conversation storytelling system

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Los Angeles, CA, United States of America

Stephen Smith