Camera Field-of-View Adjustment for Adaptive Conference Framing
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Solution Overview
Problem
Existing video conferencing systems face issues with fixed field of view in wide-angle cameras, leading to small portraits when few participants are present and inability to frame all participants when more are present, while rotatable cameras require manual adjustment and lack dynamic face tracking.
Innovation Solution
Adaptive adjustment of camera field of view based on human face position detection, using wide-angle or rotatable cameras to maximize face display by dynamically adjusting horizontal and vertical fields of view, and tracking face positions for real-time adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a wide-angle camera with fixed field of view is used, then the camera can capture a broad area, but when there are fewer conferees the portraits displayed are smaller and when there are more conferees it cannot frame all persons
Solution Approach 1:
The patent applies the dynamics principle by making the camera field of view adjustable rather than fixed. The system dynamically changes the field of view parameters (horizontal and vertical angles) based on the detected number and positions of conferees. When fewer conferees are present, the field of view is narrowed to enlarge their portraits; when more conferees are present, the field of view is widened to frame all persons, thus resolving the contradiction between fixed field of view area and adaptability to different numbers of conferees.
2Adaptability or versatility
If a rotatable camera is used, then the field of view can be adjusted, but it requires manual adjustment by remote control and cannot dynamically track human faces
Solution Approach 1:
The patent applies the self-service principle by enabling the camera system to automatically adjust its own field of view based on face detection and tracking algorithms. The system detects human faces in the video feed, calculates their positions, and automatically modifies the horizontal and vertical field of view parameters to optimally frame all conferees. This eliminates the need for manual remote control adjustment while maintaining adaptability to different meeting scenarios.
3Measurement precision
If the field of view is narrowed to enlarge portraits, then fewer conferees can be displayed larger, but more conferees cannot be framed in the display frame
Solution Approach 1:
The patent applies the parameter changes principle by dynamically adjusting the field of view parameters (horizontal angle and vertical angle) based on the detected configuration of conferees. The system calculates the positions of all detected faces and determines optimal field of view parameters that maximize portrait size while ensuring all conferees remain within the frame. This allows the system to adaptively balance between portrait enlargement and accommodating the number of conferees.
Data Source
AI summary
A video image display method and apparatus, comprising: obtaining a maximum field of view image obtained by a camera by photographing; detecting coordinates of all faces in a horizontal direction and a vertical direction in the maximum field of view image; calculating the minimum value and the maximum value of the coordinates of all the faces in the horizontal direction and the minimum value and the maximum value of the coordinates of all the faces in the vertical direction; on the basis of the minimum value and the maximum value of the coordinates of all the faces in the horizontal direction and the minimum value and the maximum value of the coordinates of all the faces in the vertical direction, adjusting the angle of view of the camera to enable all the persons photographed by the camera to be maximumly displayed on a video image output by the camera. The present application dynamically adjusts the angle of view of a camera on the basis of position detection of faces, and adaptively presents face display images, thereby improving a display effect of personnel video images in a video conference system.


