Automated Video Signal Evaluation Using Camera Metadata Synchronization
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Solution Overview
Problem
Current methods for evaluating and providing relevant video signals from sporting events are inefficient, requiring immense manual effort or complex, slow, and expensive image processing algorithms, which are not economically viable for filtering out specific video content for various user groups.
Innovation Solution
A method and device that automatically assign video signals, camera parameters, and metadata to a common time signal, allowing for synchronized evaluation and provision of relevant video content using camera sensors, metadata sensors, and a data processing device, thereby bypassing the need for manual selection and complex image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring and cutting of video signals is used to filter relevant content for user groups, then the relevant video content can be identified and provided, but immense manual effort is required
Solution Approach 1:
The patent replaces the manual mechanical process of monitoring and cutting video signals with an automated electronic system. The data processing device automatically evaluates video signals by comparing camera parameters and metadata against user profiles and event data, eliminating the need for manual intervention while maintaining accurate identification of relevant content.
Solution Approach 2:
The system enables self-service automation where the evaluation and selection of relevant video content is performed automatically by the data processing device without human intervention. The device independently compares incoming video signal metadata with stored user profiles and event data to identify and provide relevant content, making the system serve itself rather than requiring manual operation.
2Extent of automation
If image processing algorithms are used to automatically evaluate video signals for detecting objects, then manual effort is reduced, but the methods become complex, slow and expensive
Solution Approach 1:
The patent extracts and utilizes specific key parameters (camera position, orientation, field of view) and metadata that are already captured during video recording, rather than applying complex image processing algorithms to analyze the entire video content. This extraction approach automates evaluation while keeping the system relatively simple by focusing only on essential identifying features.
Solution Approach 2:
The patent changes the approach from analyzing complex visual content through image processing to evaluating simpler metadata parameters such as camera position, orientation, and field of view. By transforming the evaluation criteria from pixel-level analysis to parameter-level comparison, the system achieves automation with reduced complexity and computational requirements.
3Adaptability or versatility
If multiple cameras are used to record events from different positions and angles, then comprehensive video coverage is achieved, but the complexity of selecting relevant signals increases
Solution Approach 1:
The system uses feedback from camera parameters and metadata associated with each video signal to automatically determine relevance. The data processing device continuously receives updates on camera position, orientation, and field of view, compares this feedback against user profiles and event data, and automatically selects relevant signals without manual intervention, managing the complexity of multiple camera inputs through systematic parameter comparison.
Data Source
AI summary
The invention relates to a method and a device for evaluating and providing video signals of an event. A uniform time signal is assigned to recorded video signals of the event, and to captured camera parameters and metadata, after which the video signals are automatically evaluated in a data processing device on the basis of a user input. This way, a desired portion of the video signals can be provided to the user on the basis of the evaluation.