Image Parameter Determination for Recognition Accuracy
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Solution Overview
Problem
Images captured by imaging devices are often optimized for human visibility but may not be suitable for recognition by recognition apparatuses, leading to suboptimal recognition performance.
Innovation Solution
A parameter determination apparatus and method that calculates and determines image generation parameters based on recognized results to optimize images for better recognition by recognition apparatuses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image parameters are optimized for human visibility, then the image is easy to be viewed by human eye, but the recognition accuracy by recognition apparatus deteriorates
Solution Approach 1:
The patent applies parameter changes by adjusting image generation parameters (such as resolution, color space, compression ratio, bitrate) to create images optimized for recognition apparatus rather than human viewing. The system calculates evaluation values based on recognition results and uses these to determine optimal parameter settings that maximize recognition accuracy while considering transmission efficiency.
2Measurement precision
If image parameters are optimized for recognition apparatus, then the recognition accuracy improves, but the image quality for human viewing deteriorates
Solution Approach 1:
The system changes image generation parameters to prioritize recognition accuracy over human viewing quality. By using evaluation values derived from actual recognition results, the system identifies parameter combinations that maximize recognition performance even if they reduce visual quality for human observers.
Solution Approach 2:
The patent implements feedback by using recognition results to calculate evaluation values, which then guide the determination of optimal image generation parameters. This closed-loop approach allows the system to iteratively improve recognition accuracy by adjusting parameters based on actual recognition performance feedback.
3Measurement precision
If high resolution and high bitrate are used, then the recognition accuracy improves, but the transmission load increases
Solution Approach 1:
The system optimizes the balance between resolution, bitrate, and recognition accuracy by calculating evaluation values for different parameter combinations. It determines the optimal set of parameters that achieves sufficient recognition accuracy while minimizing transmission load, avoiding the need to always use maximum resolution and bitrate.
Solution Approach 2:
The patent applies local quality by adjusting different image parameters (resolution, color space, compression) independently based on their specific impact on recognition accuracy. This allows selective optimization of parameters that most affect recognition while maintaining or reducing others to lower transmission load.
Data Source
AI summary
A parameter determination apparatus (3) includes: a calculation unit (313) that is configured to calculate, based on a recognized result of a plurality of recognition target images by a recognition apparatus (2) that performs a recognition operation on the recognition target image (100, 200), an evaluation value for evaluating the recognized result; and a determination unit (314) that is configured to determine, based on the evaluation value, an image generation parameter (300, 301, 302 303b) that is used to generate the recognition target image.