Per-Frame Video Metadata Capture for Cross-Platform Remixing
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Solution Overview
Problem
Existing video editing tools combine metadata generation and rendering, making it difficult to remix video content effectively, and lack the ability to generate and share reusable metadata for diverse video editing tools and platforms.
Innovation Solution
A system separates metadata capture from rendering, allowing for automated and manual annotation of video metadata, which is stored separately from the video file, enabling flexible and shareable metadata that can be used across different editing tools and platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video editors integrate project-file management for video capture and manipulation, then video editing simplicity is improved, but video content reusability for remixing deteriorates
Solution Approach 1:
The system segments video content into independent, reusable clips that can be separately managed and manipulated. Each video clip is treated as a discrete unit with its own metadata, allowing individual clips to be extracted, shared, and remixed independently while maintaining overall project organization.
Solution Approach 2:
The system extracts video clips from the integrated project file and stores them as separate, shareable entities. This extraction enables clips to be reused across different projects and platforms while the project file maintains references to these external clip resources.
2Ease of operation
If video editors integrate project-file management, then video capture and manipulation simplicity is improved, but metadata shareability and reusability across tools deteriorates
Solution Approach 1:
The system creates a universal metadata structure that can be used across multiple video editing tools and platforms. The standardized metadata format enables clips to be imported and manipulated in different applications while preserving annotation information, achieving multi-tool compatibility.
Solution Approach 2:
The system introduces an intermediary metadata layer that bridges between the project file and external tools. This metadata acts as a mediator that carries annotation information between different applications, enabling shareability without requiring tight integration between tools.
3Ease of operation
If conventional video editors combine metadata generation and rendering, then integrated workflow is improved, but flexibility for diverse video compositions deteriorates
Solution Approach 1:
The system segments the video editing workflow into distinct components: clip creation, metadata annotation, and rendering. This segmentation allows each component to be independently optimized and reused across different rendering scenarios, enhancing flexibility for diverse video compositions.
Solution Approach 2:
The system introduces dynamic metadata that can be adapted and reinterpreted during rendering based on different requirements. The metadata structure allows for flexible composition by enabling different rendering engines to interpret and apply annotations in various ways suitable for their specific purposes.
Data Source
AI summary
Metadata is generated for a digital video project in a manner that facilitates mixing video with other content to render a composite video file. The metadata may include global information for the project, per-frame information that acts as a representation of continuous values throughout a video; and key-frame information which is a representation of discrete events throughout the video. The per-frame information may include, for example, point-wise location of specific objects and/or polygons/rectangles of tracked objects. The key-frame information may include information regarding scene changes, information regarding changes in emotion of a person and/or information regarding changes in pose of a person.