Video Conference Image Adjustment via Spatial Parameters
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Solution Overview
Problem
Existing video conferencing systems, particularly those using telepresence technology, face challenges in adjusting images to ensure optimal display effects when devices are updated, leading to inconsistencies and suboptimal user experiences.
Innovation Solution
A method and terminal for transmitting information that determine shooting width information and calculate image adjustment parameters in the form of spatial information, allowing for precise adjustment of images across systems to ensure consistent and high-quality displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If image stitching is performed using multiple cameras to achieve wider field of view, then the coverage area is improved, but image consistency and quality deteriorate due to overlapping areas and alignment issues
Solution Approach 1:
The patent divides the image processing task into separate segments: one camera captures the main image while another captures a sub-image. The sub-image is then positioned and scaled relative to the main image, avoiding the need to stitch overlapping images from multiple cameras. This segmentation approach maintains image quality while achieving the desired field of view.
Solution Approach 2:
The patent uses one camera to capture a reference image and another camera to capture a sub-image that is then copied and positioned relative to the reference image. By using copying instead of stitching, the patent avoids alignment issues and maintains image consistency while expanding the effective field of view.
2Illumination intensity
If display device border size is reduced to enhance user experience, then visual quality is improved, but image stitching difficulty increases due to narrower margins for error
Solution Approach 1:
The patent segments the imaging system into a main camera and a sub-camera, where the sub-camera captures a specific portion of the scene. This segmentation eliminates the need for complex stitching operations, allowing the use of display devices with narrow borders without compromising image alignment quality.
Solution Approach 2:
The patent extracts a sub-image from the main scene using a second camera, rather than attempting to stitch multiple overlapping images together. This extraction approach simplifies the processing requirements and reduces the complexity of image alignment, making it feasible to use display devices with minimal borders.
3Adaptability or versatility
If device updates are performed to improve system capabilities, then functionality is enhanced, but image adjustment compatibility deteriorates when users update their devices
Solution Approach 1:
The patent creates a universal image processing approach that works across different device configurations. By using a main camera and sub-camera setup with standardized positioning and scaling operations, the system maintains compatibility across device updates without requiring complex adjustment parameters, ensuring reliable operation regardless of device generation.
Data Source
AI summary
The present invention discloses a method and a terminal for transmitting information. The method includes: obtaining, by a second video conference system, an image adjustment parameter from a first video conference system; adjusting, by the second video conference system, a received or captured image according to the image adjustment parameter. According to the method and the terminal for transmitting information in embodiments of the present invention, an image adjustment parameter indicating shooting width information in a form of spatial information is sent to a second system, so that the second system can adjust an image according to the image adjustment parameter, thereby effectively obtaining and transmitting information used for image adjustment, improving user experience, and enhancing product competitiveness.