Video Feed Face Positioning Standardization
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Solution Overview
Problem
In online video conferences, participants' varying positions relative to their cameras result in awkward views, preventing the development of a sense of togetherness, community, or creativity among participants.
Innovation Solution
A computer-implemented method and system that modifies facial images in video feeds to appear centered and at the same eye level by using a baseline face position and size, received from multiple client computing devices, and provides the modified images for display, ensuring uniformity and coherence in the online meeting environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If participants sit in different positions relative to their cameras in online video conferences, then each participant can be captured in their own environment, but the views become awkward and prevent the development of a sense of togetherness
Solution Approach 1:
The system modifies the captured images by changing parameters such as face position, face size, and orientation to standardize their appearance. By adjusting these parameters, the system transforms images from different participant positions into a unified visual style that creates a sense of togetherness while preserving the flexibility of remote participation
2Ease of operation
If facial images are standardized to appear centered and at the same eye level, then visual coherence and sense of togetherness are improved, but the original positioning flexibility is lost
Solution Approach 1:
The system creates a standardized representation (copy) of each participant's face based on their original image, then uses this copy to generate modified images that appear centered and at the same eye level. This copying process preserves the original positioning flexibility while creating a unified visual appearance for better coherence
3Manufacturing precision
If images are modified according to a baseline face position and size, then uniformity across video feeds is achieved, but processing complexity increases
Solution Approach 1:
The system first determines a baseline face position and size from the captured images before applying the modifications. This preliminary action establishes a reference standard that simplifies the subsequent image modification process, achieving uniformity across video feeds while managing processing complexity through structured approach
Data Source
AI summary
Systems and method for modifying an image in a video feed are described. In some aspects, a plurality of images are received from a plurality of client computing devices. Each image within the plurality of images includes a face. The plurality of images are modified according to a baseline face position and a baseline face size. At least a portion of the modified plurality of images are provided for display to at least one of the plurality of client computing devices.


