Content item video generation template

By allowing users to select video generation templates and AR elements through interactive applications, the system automatically identifies and modifies content items. Combined with generative machine learning models, it generates high-quality videos, solving the problems of high user input and resource consumption in existing technologies, and improving the user experience and efficiency of AR and VR systems.

CN122422933APending Publication Date: 2026-07-17SNAP INC

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SNAP INC
Filing Date
2024-12-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing AR and VR systems require a large amount of user input and resources to generate high-quality, professional video content, resulting in inefficiency and a poor user experience. Furthermore, the high complexity of generative machine learning models leads users to avoid using these systems.

Method used

The interactive application allows users to select video generation templates, automatically identify and modify subsets of content items, and utilize AR elements and generative machine learning models to generate high-quality videos, reducing user input and synchronizing the presentation of content items with audio tracks.

Benefits of technology

It improves the efficiency of users generating and sharing high-quality videos, reduces resource consumption and time costs, and enhances the user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

公开了用于通过将模板应用于各种内容项来生成视频的方法和系统。该方法和系统由交互应用选择视频生成模板,该视频生成模板包括用于使用一个或更多个增强现实(AR)元素将一组内容项组合成视频的指令。该方法和系统从多个先前捕获的内容项识别内容项的子集,并且基于视频生成模板的AR元素来修改内容项的所识别的子集的一个或更多个内容项。该方法和系统基于视频生成模板的指令生成视频,所述视频包括内容项的集合,所述内容项的集合包括内容项的所识别的子集和经修改的一个或更多个内容项。
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