Centralized Video Metadata Database for 3D Editing
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Solution Overview
Problem
Current video production techniques lack efficient methods for storing and utilizing video metadata, such as camera, lighting, sound, object, depth, and annotation data, which are essential for editing and enhancing video content, including generating 3D images, adding or removing objects, and editing scenes.
Innovation Solution
A centralized server system that stores and manages video metadata, allowing users to query and edit video data using identifiers, applying lighting, sound, camera, object segmentation, depth map, and annotation data to relight, re-sound, and re-composite video scenes, enabling the creation of 3D images and editing processes like object removal or addition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video metadata is stored and utilized through a centralized server system, then video editing capabilities and quality are improved, but system complexity and data management requirements increase
Solution Approach 1:
The video metadata is segmented into multiple distinct types including camera data, lighting data, sound data, object segmentation data, depth map data, and annotation data. Each metadata type is stored and managed separately in the centralized database, allowing for precise retrieval and application during video editing operations without requiring complex inter-dependent data structures.
Solution Approach 2:
A centralized server acts as an intermediary between video production systems and video editing systems. The server stores all video metadata and provides it to editing systems through standardized queries using video identifiers, simplifying the interface between capture and editing environments while maintaining high editing precision.
2Productivity
If manual video editing techniques are used, then equipment and system requirements are reduced, but editing accuracy and efficiency deteriorate
Solution Approach 1:
All video metadata including camera parameters, lighting conditions, sound characteristics, object locations, depth information, and annotations are captured and stored in the centralized database during the video production phase. This preliminary action eliminates the need for manual estimation during editing, allowing editors to directly apply accurate metadata-driven transformations for relighting, object manipulation, and scene editing.
Solution Approach 2:
The system provides feedback mechanisms where metadata accuracy can be verified and corrected. The centralized database allows for validation of captured metadata and enables iterative refinement of lighting, camera, and object data before final editing operations, ensuring both high efficiency and accuracy.
Data Source
AI summary
Methods and systems for a centralized database for 3-D and other information in videos are presented. A centralized database contains video metadata such as camera, lighting, sound, object, depth, and annotation data that may be queried for and used in the editing of videos, including the addition and removal of objects and sounds. The metadata stored in the centralized database may be open to the public and admit contributor metadata.