Video Analysis System for Objective Online Communication Evaluation
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Solution Overview
Problem
Existing technologies are inadequate for objectively evaluating online communications, which have become primary means of communication due to digital transformation and global infectious disease outbreaks, as they were primarily designed for real-space interactions.
Innovation Solution
A video image analysis system that captures and analyzes participant reactions during online sessions, regardless of screen visibility, using a video image acquisition unit, analysis unit, target reading unit, and evaluation unit to provide objective evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If online communication is used as the primary means of communication, then communication efficiency and accessibility are improved, but objective evaluation of communication effectiveness becomes difficult
Solution Approach 1:
The patent replaces subjective human evaluation with automated computer-based analysis systems that process video images and physiological data to objectively measure communication effectiveness, eliminating the limitations of manual assessment in digital communication environments
Solution Approach 2:
The system introduces intermediate measurement devices (cameras, sensors) that capture physiological signals and video data, serving as mediators between the communication process and evaluation, enabling indirect but objective measurement of communication effectiveness
2Reliability
If video analysis is performed on all participants regardless of screen visibility, then evaluation completeness is improved, but system complexity and processing load increase
Solution Approach 1:
The system implements a universal analysis framework that can process video and physiological data from all participants uniformly, regardless of their screen visibility status, using the same evaluation algorithms and data processing pipelines for both visible and invisible participants
Solution Approach 2:
The system performs preliminary classification of participants into visible and invisible groups, applying different analysis strategies or weighting schemes appropriate for each group, thereby managing complexity through structured differentiation rather than uniform processing
Data Source
AI summary
The system of the present disclosure comprises: an acquisition means for acquiring a video image of an online session between a first user and a second user; a face recognition means for recognizing at least a face image of the first user and the second user included in the video image for each predetermined frame; a voice recognition means for recognizing at least the voice of the subject included in the video image; an evaluation means for calculating an evaluation value from a plurality of viewpoints based on both the recognized face image and the voice; and a determination means for determining the degree of match of the second user to the first user based on the evaluation values.