Video Source Parameter Setting Using Satisfaction Feedback
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Solution Overview
Problem
Existing video surveillance camera settings methods are costly, require specialized technicians, are not adaptable to different camera types or environments, and fail to dynamically adjust to changing conditions, leading to suboptimal image quality and resource consumption.
Innovation Solution
A software-based auto-setting method that uses iterative learning to quickly determine optimal camera parameters, adapting to various camera models and environments without requiring thorough calibration, using image characteristics to evaluate satisfaction levels and predict improvements, and continuously updating to maintain performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic parameter setting is implemented, then ease of operation is improved, but reliability deteriorates due to inability to handle diverse codec formats and error scenarios
Solution Approach 1:
The patent introduces an intermediary system consisting of a determination unit and a setting unit that mediates between the video source device and the communication channel. The determination unit automatically identifies optimal parameters based on codec format detection, while the setting unit applies these parameters. This intermediary mechanism enables automatic operation while maintaining reliability through structured decision-making logic that handles diverse formats and error scenarios.
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors transmission results and adjusts parameters accordingly. The determination unit continuously assesses the communication channel conditions and codec format, while the setting unit modifies parameters based on this feedback. This closed-loop approach ensures that automatic parameter setting adapts to changing conditions, maintaining reliability across diverse scenarios.
2Reliability
If manual parameter setting is used, then reliability is improved through expert control, but ease of operation deteriorates due to complex parameter selection
Solution Approach 1:
The patent enables the video source device to perform self-service by automatically determining and setting transmission parameters without requiring expert user intervention. The determination unit autonomously identifies the codec format and selects optimal parameters, while the setting unit applies them. This self-service capability eliminates the need for manual parameter selection, dramatically improving ease of operation while maintaining reliability through automated decision-making logic.
3Adaptability or versatility
If multiple parameter options are provided, then adaptability is improved, but device complexity increases due to additional control mechanisms
Solution Approach 1:
The patent segments the parameter control function into distinct modular units: a determination unit for identifying codec formats and optimal parameters, and a setting unit for applying parameters. This segmentation allows the system to handle multiple codec formats and parameter options without increasing overall device complexity, as each unit has a specific, well-defined responsibility. The modular structure enables easy extension to support additional formats while maintaining manageable complexity.
Data Source
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AI summary
A method for setting parameters values of a video source device comprises: obtaining a value of an image characteristic for a current image generated by the video source device set with initial parameters values; determining a satisfaction level for the image characteristic of the current image based on the obtained value, the satisfaction level representing a probability to fulfil a task; obtaining a set of candidates, a candidate being defined as a set of parameters values, each candidate being different from the other candidates of the set by a different value of at least one parameter; for each candidate, predicting an evolution of the satisfaction level for the image characteristic relatively to the satisfaction level determined while the video source device is set with the initial parameters values; selecting a candidate based on its predicted evolution of the satisfaction level; setting the parameters values of the video source device using the set of parameters values of the selected candidate.