AR Effect Resource Sharing via Predictive Caching Pipeline
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Solution Overview
Problem
Existing systems for applying augmented reality (AR) effects to videos are limited in the number and timing of effects that can be applied, are inefficient in rendering, and difficult to control, restricting user customization and flexibility.
Innovation Solution
The AR effect system enables the sharing of resources between AR effect render operations by employing manifests to define required resources, organizing rendering operations into a pipeline, and using predictive caching to pre-load or retain resources based on usage statistics and video content, allowing for multiple AR effects to be applied simultaneously with greater user control through voice commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple AR effects are applied to videos simultaneously, then user customization and flexibility are improved, but rendering efficiency and system resource management deteriorate
Solution Approach 1:
The patent merges multiple AR effect render operations into a unified rendering pipeline, allowing simultaneous application of multiple effects while sharing common resources. This consolidation enables efficient resource allocation and reduces redundant processing, resolving the contradiction between supporting multiple effects and maintaining rendering efficiency.
Solution Approach 2:
The patent creates a universal resource pool that serves multiple AR effect render operations. Resources such as filters, overlays, and processing capabilities are made multi-functional, allowing the same resources to be shared across different effects. This universal resource management system enables versatile effect application without proportionally increasing system overhead.
2Speed
If AR effect resources are pre-loaded and cached, then rendering speed is improved, but memory usage and resource management complexity increase
Solution Approach 1:
The patent implements preliminary loading and caching of AR effect resources before they are actually needed during video rendering. By pre-loading filters, overlays, and other effect components into a cached resource pool, the system eliminates loading delays during rendering while managing memory through systematic pre-allocation and release strategies.
Solution Approach 2:
The patent implements a resource lifecycle management system where cached AR effect resources are automatically discarded when no longer needed and recovered for future use. This dynamic allocation and release mechanism optimizes memory utilization, allowing the system to maintain high rendering speed while preventing excessive memory consumption through automated resource recovery.
3Manufacturing precision
If AR effects are positioned relative to video content (world locked), then effect accuracy and content relevance are improved, but tracking and positioning computational load increases
Solution Approach 1:
The patent implements self-service tracking where AR effects automatically adjust their positioning based on video content analysis without requiring intensive external processing. The system uses content-aware algorithms that operate efficiently within the rendering pipeline, allowing world-locked effects to maintain high positioning accuracy while minimizing additional computational overhead through optimized tracking mechanisms.
Data Source
AI summary
An augmented reality (AR) effect system can improve application of AR effects by sharing resources between AR effects. The AR effect system can employ manifests for AR effects that define which resources are required to render each AR effect. The AR effect system can organize rendering operations used by selected AR effects into a pipeline and can use the manifests of the AR effects to determine when each resource will be needed. Based on this pipeline, the AR effect system can create a cache order defining a resource schedule which specifies, when a resource is freed, conditions for whether to save the resource to a local cache or unload the resource. As rendering of the video with the AR effects progresses, the resource schedule can control whether resources not currently being used to render an AR effect should be unloaded or cached for fast access for future render operations.