Adaptive Video Image Allocation for Multi-Participant Conferencing

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Solution Overview

Problem

Existing video conferencing technologies are limited by the fixed field of view of the camera, failing to adaptively adjust the real-time image display based on the presence and interaction of multiple participants in a meeting.

Innovation Solution

A method and apparatus that utilize object detection and sound localization to dynamically select and combine video images of target objects, generating a final image for display that prioritizes active speakers and adjusts based on spatial relationships.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a fixed field of view camera is used for video conferencing, then the device structure is simple, but the adaptability of image allocation is poor

Engineering Contradiction:
Improveadaptability of image allocationVSAvoiddevice structure
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system dynamically adjusts image allocation based on real-time detection of target objects and sound sources. The display switches between different camera feeds and layouts according to detected speaker positions and movements, making the previously static display system adaptive to changing meeting conditions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent introduces an intermediary processing system that receives inputs from multiple cameras and microphones, processes this data through object detection and sound localization algorithms, and generates optimized display arrangements. This intermediary layer enables adaptability without requiring complex direct control of each camera.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If only a single real-time image is displayed, then the device complexity is low, but the information completeness is insufficient

Engineering Contradiction:
Improveinformation completenessVSAvoiddevice complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system segments the display into multiple regions showing different camera feeds simultaneously. Instead of displaying a single real-time image, the interface divides the screen to show multiple participants' video streams, allowing users to see more information without requiring a single complex all-encompassing camera.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The display system is designed to serve multiple functions: it can show individual speaker close-ups, group views, and alternative camera angles within the same interface. This multi-functional display approach provides comprehensive information while using standard display hardware rather than requiring specialized equipment.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Quantity of substance

If the real-time image is limited by the field of view of the lens, then the device structure is simple, but the coverage of target objects is insufficient

Engineering Contradiction:
Improvecoverage of target objectsVSAvoiddevice structure
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The system merges feeds from multiple cameras with different fields of view into a unified display. By combining the coverage areas of multiple lenses through software composition, the system achieves broader target object coverage without requiring a single complex wide-angle or panoramic camera system.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20250378605A1Allocation method of video images and computing apparatus
Publication Date: 2025.12.11 WISTRON CORP
  • US20250378605A1 patent drawing
  • US20250378605A1 patent drawing
  • US20250378605A1 patent drawing

AI summary

An allocation method of video images and a computing apparatus are provided. A plurality of video images are obtained. The video images correspond to a plurality of target objects. A detection result corresponding to the target objects is obtained. At least one target image is selected from the video images according to the detection result. A final image is generated according to the target image. The final image is used to be presented on a user interface. In this way, the screen content can be adjusted according to the situation.