Automatic Video Production for Narrative-Consistent Virtual Object Fusion

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Solution Overview

Problem

Existing video technologies lack the ability to seamlessly and rationally fuse virtual video objects into real space images in real time, without disrupting the story or content of the video, particularly in augmented and mixed reality applications.

Innovation Solution

An automatic video production device that interprets and divides video content into scenes, generates cast and scenario data, and fuses child video objects into parent video content using biometric and environmental data to ensure a natural and appealing effect.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If video fusion processing is performed to integrate virtual video objects into real space images, then the appeal and engagement of the video content is improved, but the risk of disrupting the story or content integrity increases

Engineering Contradiction:

Improvevideo fusion capabilityVSAvoidcontent integrity

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system continuously monitors video content characteristics and automatically adjusts fusion parameters based on real-time analysis, ensuring that virtual objects are integrated without disrupting the narrative flow or content integrity

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system dynamically changes multiple parameters including transparency, size, position, and timing of virtual video objects based on the analyzed content characteristics, enabling seamless fusion that maintains story integrity while enhancing viewer engagement

Inventive Principle:

Principle #35Parameter changes

2Productivity

If automated video production is implemented to improve efficiency, then productivity increases, but the ability to create nuanced and context-appropriate video fusion decreases

Engineering Contradiction:

Improvevideo production efficiencyVSAvoidcontext understanding capability

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs self-analysis of video content characteristics and automatically determines optimal fusion parameters without human intervention, enabling automated production that maintains contextual appropriateness through AI-driven content understanding

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual video analysis and fusion decision-making is replaced with automated image recognition and AI algorithms that can rapidly analyze content characteristics and make context-appropriate fusion decisions, significantly improving productivity while maintaining quality

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If virtual video objects are integrated into real-time video content, then viewer engagement is improved, but the complexity of the video processing system increases

Engineering Contradiction:

Improvevideo content integration capabilityVSAvoidprocessing system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The video processing system is divided into independent functional modules including content analysis, parameter determination, and video fusion processing, allowing each module to be optimized separately and reducing overall system complexity while maintaining high integration capability

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250245266A1Automatic video production device, automatic video production method, and video recording medium used therefor

Publication Date: 2025.07.31 MAXELL LTD

AI summary

An automatic video production device that performs fitting or fusion processing of a predetermined child video object that is not included in a parent video into a predetermined video scene of the parent video content as a video fusion source, the automatic video production device including a video content interpreting unit that interprets the entirety or a part of the video content of the parent video content, or divides the parent video content into a predetermined parent video scene to generate processing data that is predetermined parent video interpretation data obtained by converting a content interpretation result of the parent video or a division result of the parent video scene into data in a predetermined description format.