Stereoscopic Video Calibration via Embedded Metadata Nesting
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Solution Overview
Problem
Current stereoscopic 3D video systems lack an efficient method to embed and process camera and sensor parameters within video files, making it difficult to accurately render 3D video frames across different devices and environments.
Innovation Solution
A system and method that embeds metadata, including camera and sensor parameters, into stereoscopic video files, allowing for real-time calibration and processing during playback, enabling seamless rendering of 3D video across various devices and environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera and sensor parameters are embedded into video files, then rendering accuracy is improved, but device complexity increases
Solution Approach 1:
The patent embeds calibration metadata directly within the video file structure, nesting the calibration data inside the video container. This allows the video player to access both the video frames and calibration parameters from a single file without requiring external reference files or additional hardware components, thereby improving rendering accuracy while managing device complexity.
Solution Approach 2:
The patent introduces calibration metadata as an intermediary element that bridges the video content and the rendering system. This metadata acts as a mediator carrying camera intrinsic parameters, sensor information, and calibration data between the capture device and the playback system, enabling accurate rendering without requiring direct complex interactions between all system components.
2Adaptability or versatility
If parameters are embedded per frame, then adaptability is improved, but loss of information increases
Solution Approach 1:
The patent segments parameter data into different categories: frame-level parameters (such as timestamp, camera position) that vary with each frame, and constant parameters (such as intrinsic calibration data, sensor characteristics) that remain unchanged throughout the video. This segmentation allows the system to embed only the necessary parameter variations per frame while maintaining efficient storage and reducing redundant information, thereby balancing adaptability with information preservation.
Data Source
AI summary
A computerized system for displaying stereoscopic three-dimensional (3D) video recorded on a stereoscopic camera device includes a computer store containing data. The data includes a stereoscopic video feed of two or more stereoscopic images from a stereoscopic video capture device, wherein the stereoscopic video feed comprises a plurality of contemporaneous metadata feeds, wherein a metadata feed comprises a time sequenced set of metadata obtained from a sensor of the stereoscopic video capture device. The computerized system includes a computer processor in the stereoscopic video capture device, which computer processor is coupled to the computer store and programmed to obtain the stereoscopic video feed from the computer store, parse the plurality of contemporaneous metadata feeds from the stereoscopic video feed, and calibrate the stereoscopic video feed for display in a display of a user's computing device using the plurality of contemporaneous metadata feeds.


