Image Communication Apparatus Encoding Mode Adjustment
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Solution Overview
Problem
Existing image encoding techniques fail to optimize the encoding mode in real-time for image recognition processes, leading to a decrease in recognition rate, especially in onboard camera systems where the encoding mode is not uniquely defined for varying vehicle states and driving assistance applications.
Innovation Solution
An image communication apparatus that adjusts the encoding mode in real-time based on recognition accuracy information, allowing for optimal encoding processes that maintain a high image recognition rate by dynamically changing the encoding parameters such as prediction mode and deblocking filter strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If general image encoding techniques are used to compress image information for transmission, then transmission bandwidth is reduced, but image recognition rate deteriorates
Solution Approach 1:
The patent applies dynamics by making the encoding mode adjustable and adaptable. The image communication apparatus can switch between different encoding modes (first encoding mode for display, second encoding mode for recognition) based on the intended use of the decoded image. This dynamic adjustment allows the system to optimize between bandwidth efficiency and recognition accuracy depending on real-time requirements.
Solution Approach 2:
The patent utilizes parameter changes by modifying encoding parameters specifically for different applications. The second encoding mode uses different parameters compared to the first encoding mode, particularly in how deblocking filters and other processing steps are applied. These parameter changes enable the system to maintain edge information quality for recognition tasks while still achieving compression for transmission.
2Manufacturing precision
If deblocking filter is applied to improve image quality for display, then image quality is improved, but edge information deteriorates and recognition rate decreases
Solution Approach 1:
The patent applies local quality by differentiating processing approaches for different regions and purposes. The deblocking filter is applied with different strengths or selectively based on the intended use: stronger filtering for display-oriented first encoding mode, and weaker or selective filtering for recognition-oriented second encoding mode. This localized quality adjustment preserves edge information where needed while still improving visual quality where appropriate.
Solution Approach 2:
The system dynamically adjusts the deblocking filter application based on the encoding mode. When switching from first encoding mode to second encoding mode, the deblocking filter parameters are adjusted to preserve edge information critical for recognition. This dynamic control allows the same hardware to optimize for either display quality or recognition accuracy as needed.
3Device complexity
If encoding mode is fixed for specific vehicle states and applications, then encoding control is simplified, but adaptability to varying recognition needs deteriorates
Solution Approach 1:
The patent implements dynamics by enabling real-time switching between encoding modes based on actual recognition needs. Rather than fixing the encoding mode for each vehicle state, the system can dynamically select the appropriate mode (first or second encoding mode) depending on whether the decoded image will be used for display or recognition. This dynamic approach maintains simplicity while improving adaptability.
Solution Approach 2:
The system uses feedback mechanisms to determine which encoding mode to apply. The image communication apparatus receives information about the intended use of the decoded image and adjusts the encoding mode accordingly. This feedback loop allows the system to adapt to varying recognition needs without requiring complex pre-definition of encoding modes for every possible scenario.
Data Source
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AI summary
Included are an encoding section, a decoding section, and an image recognition section. The encoding section performs an encoding process for a video signal to be input based on a calculated encoding mode, and transmits an encoded stream. The decoding section performs a decoding process for the received encoded stream, and outputs a decoded image. The image recognition section performs an image recognition process for the decoded image. The encoding section adjusts the encoding mode based on recognition accuracy information representing the certainty of a recognition result in the image recognition section.