Video Generation Template Using AR Content Grouping

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Solution Overview

Problem

Existing systems for creating high-quality images and videos for sharing require expensive equipment, extensive user effort in finding and manually adjusting content, leading to significant expenses and detracted enjoyment.

Innovation Solution

The system intelligently and automatically groups and organizes content items using augmented reality (AR) elements according to a video generation template, reducing user input and effort to create professional-quality videos.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If users manually find and adjust content items to create high-quality videos, then video quality can be improved, but user effort and time consumption increase significantly

Engineering Contradiction:
Improvevideo qualityVSAvoiduser effort and time consumption
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system automatically selects, groups, and organizes content items using AI algorithms and AR elements without requiring manual user intervention. The system serves itself by intelligently processing the content collection and generating the final video arrangement, thereby reducing user effort while maintaining high video quality

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical operations (user dragging, dropping, and arranging content) with automated computational processes including AI-based content selection, automatic grouping algorithms, and programmatic video generation, eliminating the need for tedious manual adjustments

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If users manually adjust content items and lighting, then content presentation quality improves, but expenses and time investment increase

Engineering Contradiction:
Improvecontent presentation qualityVSAvoidexpenses and time investment
Core Design Contradiction:
Manufacturing precisionVSLoss of energy

Solution Approach 1:

The system replaces manual adjustments of lighting and content positioning with automated computational processes that programmatically optimize content presentation, eliminating the need for expensive equipment and time-consuming manual tweaks while maintaining high presentation quality

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system uses digital copies and virtual representations of content items within the AR environment, allowing for unlimited manipulation and adjustment without physical constraints or additional expenses associated with physical props and lighting equipment

Inventive Principle:
Principle #26Copying

3Ease of operation

If automated grouping and organization of content items is implemented, then user effort is reduced, but manual control over content arrangement is lost

Engineering Contradiction:
Improveuser effortVSAvoidmanual control over content arrangement
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system provides dynamic control where users can select from multiple AI-generated arrangement options and further customize the automatic groupings, allowing the level of automation to adapt to user needs while maintaining ease of operation through intuitive interface interactions

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20250200825A1Content item video generation template
Publication Date: 2025.06.19 SNAP INC
  • US20250200825A1 patent drawing
  • US20250200825A1 patent drawing
  • US20250200825A1 patent drawing

AI summary

Methods and systems are disclosed for generating video by applying a template to various content items. The methods and systems select, by an interaction application, a video generation template comprising instructions for combining a set of content items into a video using one or more augmented reality (AR) elements. The methods and systems identify a subset of content items from a plurality of previously captured content items and modify one or more content items of the identified subset of content items based on the AR elements of the video generation template. The methods and systems generate a video comprising a collection of content items including the identified subset of content items and the modified one or more content items based on the instructions of the video generation template.