Layered Animation Editing With AI Modifiers for Real-Time Revisions
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Solution Overview
Problem
Existing digital video editing tools lack flexibility for generating revisions, leading to cumbersome version control and difficulties in collaborative work, with limited input options resulting in inflexible and non-efficient video manipulation.
Innovation Solution
A collaborative content editing service integrates a layered structure with AI-based image-guided content generation modifiers, allowing for non-destructive editing and compositional control of animated features through separate layers, enabling parallel processing and real-time preview of animation frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional video editing tools are used with limited inputs, then the editing process is simple, but the flexibility for generating revisions and collaborative work is poor
Solution Approach 1:
The patent segments the video content into multiple independent layers (e.g., background layer, foreground layer, animation layer). Each layer can be independently edited, animated, and revised without affecting other layers. This segmentation enables flexible revision generation while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent implements a nested layer structure where child layers can be nested within parent layers, and animation layers can be nested within content layers. This hierarchical nesting allows for complex video compositions to be built from simpler components, enabling versatile editing while organizing complexity in a manageable hierarchical manner.
2Manufacturing precision
If AI-based image-guided content generation modifiers are applied to all animation frames, then the animation quality is improved, but the computational burden and processing time increase significantly
Solution Approach 1:
The patent applies the image-guided content generation modifier selectively to specific regions within animation frames rather than uniformly to all frames. The system identifies regions that require enhancement (e.g., regions with animation metadata changes) and applies the computationally intensive modifier only to those local areas, maintaining high animation quality while reducing overall computational burden.
Solution Approach 2:
The patent applies the content generation modifier to a subset of animation frames rather than all frames. By selecting key frames or frames with significant changes for modification and using interpolation for intermediate frames, the system achieves satisfactory animation quality with reduced computational effort compared to processing every single frame.
3Manufacturing precision
If multiple animation frames are generated and processed in sequence, then the animation quality is maintained, but the processing time and user waiting period increase
Solution Approach 1:
The patent performs preliminary generation of key animation frames with full quality processing before generating intermediate frames. By preparing the essential key frames in advance with high-quality content generation modification, the system reduces the overall processing time while maintaining animation quality, as intermediate frames can be generated more quickly through interpolation.
Solution Approach 2:
The patent implements parallel processing of multiple animation frames simultaneously rather than sequential processing. The system divides the animation frame generation task across multiple processing units, allowing concurrent modification of multiple frames, which significantly reduces total processing time while maintaining continuous high-quality output generation.
4Adaptability or versatility
If the image-guided content generation modifier is applied to generate modified animation frames, then the animation features are enhanced, but the collaborative work and version control become more difficult
Solution Approach 1:
The patent segments the animation into independent layers with separate metadata for each layer. This segmentation allows collaborative users to work on different layers simultaneously without conflicts, and version control can track changes at the layer level rather than requiring full animation frame comparisons, simplifying the version control process while maintaining versatile manipulation capabilities.
Data Source
AI summary
Systems or methods for providing a content editing service that integrates a layered structure of digital image editing integrated with AI-based image-guided content generation modifier that is guided based on different features stored in association with the separate layers of the layered structure. The image-guided content generation utilizes a non-destructive nature of the layer-based image editing process to extract metadata associated with input layers of a provided image to output computer-generated content.