Generative AI Virtual Backgrounds for Video Conference Key Points

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Solution Overview

Problem

Conventional video conferencing software does not allow participants to conveniently change their virtual backgrounds during an ongoing conference, requiring users to navigate through user interface menus, disrupting the conference experience and limiting the ability to select relevant background images.

Innovation Solution

Implementing generative artificial intelligence to dynamically generate virtual background images based on inputs such as text prompts, real-time transcriptions, or previously generated media during a video conference, allowing for contextually relevant background changes without user disruption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users manually navigate through UI menus to change virtual backgrounds, then background customization is possible, but conference flow is disrupted and user experience is degraded

Engineering Contradiction:

Improvebackground customization capabilityVSAvoidconference flow continuity

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically generates virtual backgrounds using AI image generation technology based on conference transcriptions and topics without requiring user intervention. The background changes are initiated and executed by the system itself, serving the user's customization needs while maintaining conference flow continuity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-generates virtual backgrounds based on anticipated conference topics and transcriptions before they are needed. By preparing background options in advance based on predicted discussion themes, the system ensures backgrounds are ready when relevant topics arise, eliminating the need for reactive user actions.

Inventive Principle:

Principle #10Preliminary action

2Ease of operation

If conventional video conferencing software uses static pre-selected backgrounds, then user experience is simple, but the ability to select contextually relevant backgrounds is limited

Engineering Contradiction:

Improveuser interface simplicityVSAvoidcontextual background relevance

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system dynamically changes background parameters (images, colors, themes) based on conference content parameters such as transcriptions, topics, and discussion themes. This allows the background to adapt contextually while maintaining simple user interaction through automatic system-driven changes.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system continuously monitors conference transcriptions and topic discussions to determine when and what background changes are appropriate. This feedback loop enables contextual background selection without requiring users to manually assess relevance, combining simplicity with adaptability.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If AI image generation is used to create custom backgrounds, then contextual relevance is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvebackground contextual relevanceVSAvoidbackground generation time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system generates multiple background options in advance based on predicted conference topics and stores them for quick retrieval. By performing image generation before the conference actually discusses relevant topics, the system reduces real-time processing delays while maintaining contextual relevance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system combines multiple background generation approaches: pre-generated backgrounds for common topics, real-time generation for unique topics, and a library of template backgrounds. This hybrid approach balances computational resource usage with contextual relevance and timing requirements.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20250324018A1Outputting Video Conference Key Points Within A Virtual Background Image

Publication Date: 2025.10.16 ZOOM COMMUNICATIONS INC

AI summary

A virtual background image used with a video stream of a conference participant during a video conference is updated to visually represent one or more key points of the video conference. Generative artificial intelligence software associated with a conferencing system evaluates content of a video conference to determine one or more key points related to the video conference. The generative artificial intelligence software updates a virtual background image of a participant of the video conference to include one or more visual elements representing the one or more key points. The updated virtual background image is then output for use within a video stream of the participant during the video conference.