Video Call Image Correction for User Control
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Solution Overview
Problem
Users, especially female users, tend to hesitate to participate in video calls with their moving images due to lack of control over the images shared, leading to underutilization of video call functionality.
Innovation Solution
An information processing apparatus with modules for correcting luminance and recognizing images, allowing users to generate and provide customized video data that includes their face and background, enabling them to adjust and control the appearance during video calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the opposite party user arbitrarily determines the moving image to be provided, then the moving image can be provided in the desired format, but the user cannot determine the moving image to be provided by himself/herself, leading to hesitation in providing moving images
Solution Approach 1:
The patent segments the moving image into multiple regions (face region, background region, etc.) and allows independent control over each region. Users can specify which regions to include or exclude, giving them granular control without requiring complex manual editing of the entire image.
Solution Approach 2:
The system performs preliminary analysis and segmentation of the moving image before transmission, automatically identifying face regions, background regions, and other important areas. This preliminary processing enables users to make informed decisions about what to share without having to manually analyze the entire image first.
2Productivity
If the user provides moving images with full control, then user comfort and participation increase, but the processing complexity and time required increase
Solution Approach 1:
The system implements self-service by automatically performing image segmentation, region identification, and preliminary processing without requiring user intervention. The AI algorithms autonomously analyze the moving image, identify important regions, and prepare the data for user review, significantly reducing the time burden on users.
Solution Approach 2:
The system performs partial processing by focusing only on the most important regions (face, background) rather than analyzing every pixel in detail. This selective approach maintains high user control while minimizing processing time and computational resources required.
3Manufacturing precision
If the system processes and corrects moving images in real-time, then image quality improves, but processing speed and system resource consumption increase
Solution Approach 1:
The patent applies local quality by performing image correction and processing only on specific regions (face region, background region) rather than the entire image. The correction unit applies appropriate processing parameters to each region based on its characteristics, improving overall image quality while reducing the total processing load compared to full-image processing.
Data Source
AI summary
To promote a utilization of a moving image in a video call. An information processing apparatus includes: a correction module configured to correct the luminance of a first video data acquired by a camera; a recognition module configured to recognize a first moving image and a second moving image in a first video data whose luminance is corrected, the first moving image including at least a part of a user's face, the second moving image not including a face; a correction module configured to correct a recognized second moving image; a generation module configured to generate a second video data including a first moving image included in a first video data whose luminance is corrected and a corrected second moving image; and a providing module configured to provide a second video data to a video call application.