Invention Publication
- Patent Title: AUTOMATIC CONNOTATION FOR AUDIO AND VISUAL CONTENT USING IOT SENSORS
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Application No.: US17935947Application Date: 2022-09-28
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Publication No.: US20240107130A1Publication Date: 2024-03-28
- Inventor: Dhruv Khurana , Kristin E. McNeil , ITAI GORDON , Radha Mohan De
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Main IPC: H04N21/8541
- IPC: H04N21/8541 ; H04N21/442

Abstract:
In an approach for enhancing an experience of a user listening to and/or watching an audio-visual content by modifying future audio and/or video frames of the audio-visual content, a processor captures a set of sensor data from an IoT device worn by the first user. A processor analyzes the set of sensor data to generate one or more connotations by converting the emotion using an emotional vector analytics technique and a supervised machine learning technique. A processor scores the one or more connotations on a basis of similarity between the emotion exhibited by the first user and an emotion expected to be provoked by a second user. A processor determines whether a score of the one or more connotations exceeds a pre-configured threshold level. Responsive to determining the score does not exceed the pre-configured threshold level, a processor generates a suggestion for the producer of the audio-visual content.
Public/Granted literature
- US11949967B1 Automatic connotation for audio and visual content using IOT sensors Public/Granted day:2024-04-02
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