Contextual AI-Generated Virtual Backgrounds During Video Conferences

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Solution Overview

Problem

Conventional video conferencing software lacks a convenient way for participants to 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 conventional video conferencing software uses pre-set virtual backgrounds, then users can have virtual backgrounds during conferences, but users cannot easily change backgrounds during ongoing conferences without disrupting the conference experience

Engineering Contradiction:

Improveability to change virtual backgrounds during conferenceVSAvoidconvenience of changing backgrounds

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system transitions from static pre-selected backgrounds to dynamic AI-generated backgrounds that automatically update during the conference based on real-time transcription and context, eliminating the need for manual user intervention while maintaining adaptability

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The AI system autonomously generates and updates virtual backgrounds by analyzing conference content through transcription processing, without requiring user initiation or interaction, thus maintaining conference flow while enabling background changes

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If users manually select virtual backgrounds through interface menus, then users can choose from available backgrounds, but the process disrupts the conference experience and reduces productivity

Engineering Contradiction:

Improveselection of relevant background imagesVSAvoidconference efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The AI system autonomously analyzes conference transcription content and automatically selects/apples appropriate virtual backgrounds without user intervention, eliminating the need for manual menu navigation while maintaining relevance to conference topics

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system proactively generates and applies virtual backgrounds based on anticipated conference topics by processing transcription in real-time, rather than waiting for user requests, thus maintaining conference flow while ensuring contextual appropriateness

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If generative AI dynamically generates virtual backgrounds in real-time, then backgrounds can be contextually relevant to conference content, but computational resources and processing time are increased

Engineering Contradiction:

Improvecontextual relevance of backgroundsVSAvoidcomputational energy consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system processes only the transcription text and key conference topics through AI generation rather than analyzing entire video feeds or generating complete scene compositions, achieving contextual relevance with reduced computational overhead

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system uses conference transcription as an intermediary representation to infer contextual information for background generation, avoiding the need for complex visual analysis or direct real-time video processing while maintaining contextual accuracy

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250322554A1Generating A Virtual Background Image During A Video Conference

Publication Date: 2025.10.16 ZOOM COMMUNICATIONS INC

AI summary

A virtual background image is generated for a participant of a video conference and output for use within a video stream of the participant during the video conference. Generative artificial intelligence software associated with a conferencing system obtains, during a video conference, input associated with a participant of the video conference. The generative artificial intelligence software generates a virtual background image for the participant based on the input. The virtual background image is then output for use within a video stream of the participant during the video conference.