Invention Grant
- Patent Title: Systems and methods for contextualizing computer vision generated tags using natural language processing
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Application No.: US16941447Application Date: 2020-07-28
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Publication No.: US11768871B2Publication Date: 2023-09-26
- Inventor: Konstantinos Rapantzikos , Alston Ghafourifar
- Applicant: Entefy Inc.
- Applicant Address: US CA Palo Alto
- Assignee: Entefy Inc.
- Current Assignee: Entefy Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Haynes and Boone, LLP
- Main IPC: G06F16/58
- IPC: G06F16/58 ; G06F16/51 ; G06F16/335 ; G06F16/33 ; G06F16/583

Abstract:
This disclosure relates to systems, methods, and computer readable media for performing filtering of computer vision generated tags in a media file for the individual user in a multi-format, multi-protocol communication system. One or more media files may be received at a user client. The one or more media files may be automatically analyzed using computer vision models, and computer vision generated tags may be generated in response to analyzing the media file. The tags may then be filtered using Natural Language Processing (NLP) models, and information obtained during NLP tag filtering may be used to train and/or fine-tune one or more of the computer vision models and the NLP models.
Public/Granted literature
- US20210117467A1 SYSTEMS AND METHODS FOR FILTERING OF COMPUTER VISION GENERATED TAGS USING NATURAL LANGUAGE PROCESSING Public/Granted day:2021-04-22
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