Personalized Video Rendering via Segmented Portion Caching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for generating personalized videos require excessive processing resources and time, making them commercially unviable for rendering large numbers of videos, with some systems taking up to a week to render 1000 personalized videos of one minute each.
Innovation Solution
A system that categorizes video portions into static, reusable, and unique elements, allowing for efficient rendering by pre-rendering static and reusable portions, and combining recipient-specific unique portions on demand, with parallel rendering and storage in a repository to reduce processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current systems render personalized videos using traditional methods, then video personalization is achieved, but rendering time becomes excessively long (5-10 minutes per video)
Solution Approach 1:
The patent divides a personalized video into multiple independent portions: static portions (unchanging across recipients), reusable portions (can be pre-rendered and cached), and unique portions (specific to each recipient). This segmentation allows parallel processing and caching of common elements, dramatically reducing per-video rendering time from 5-10 minutes to seconds.
Solution Approach 2:
The system pre-renders static and reusable video portions in advance and stores them in a cache/repository before actual video generation requests. When a personalized video is requested, only the unique recipient-specific portions need to be rendered and combined with pre-rendered portions, reducing real-time rendering time significantly.
2Reliability
If traditional video rendering methods are used to ensure video quality, then personalization is achieved, but processing resources become excessively consumed
Solution Approach 1:
The system creates and caches pre-rendered copies of static and reusable video portions. Instead of re-rendering these portions for each personalized video request, the system retrieves and reuses the cached copies, maintaining video quality while reducing processing resource consumption by approximately 90% or more for repeated requests.
3Adaptability or versatility
If personalized videos are generated for multiple recipients using current systems, then customization is achieved, but the system becomes commercially non-viable due to time constraints
Solution Approach 1:
By segmenting videos into reusable and unique portions, the system can efficiently handle large volumes of personalized video requests. The reusable portions are rendered once and cached, while only unique portions require per-recipient processing. This enables the system to render 1000+ personalized videos in hours rather than weeks, achieving commercial viability.
Solution Approach 2:
The system creates a universal template structure that can serve multiple recipients simultaneously. The static and reusable portions form a universal base that can be combined with different unique portions for each recipient, allowing one rendering pipeline to efficiently produce highly customized videos for unlimited recipients.
Data Source
AI summary
Generally, systems and methods for generating personalized videos are disclosed. The systems and methods can enable parallel and/or on-demand and/or video portions-based rendering of a plurality of personalized videos for a plurality of recipients. The disclosed systems and methods can significantly reduce amount of processing resources and amount of time required to render the personalized videos thereof, as compared to current available systems and methods.