Image Quality Control via Genre Confidence Feedback
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Solution Overview
Problem
Existing image processing technologies face challenges in accurately controlling image quality based on content genre due to errors in genre recognition, leading to inconsistent and inadequate image quality, especially in automatic image quality control systems.
Innovation Solution
An image processing apparatus and method that uses a decoder, image quality controller, and image quality processor to identify genre recognition confidence values from previous and current frames, calculate weighted averages, and adjust image quality control factors to maintain consistency and accuracy, incorporating neural networks for improved genre identification and quality processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If scene-recognition-based genre recognition is used, then automatic genre identification is achieved, but genre recognition errors frequently occur
Solution Approach 1:
The patent combines multiple genre recognition approaches (scene recognition and content analysis) to identify genre confidence values for both current and previous frames. By merging these recognition methods and comparing their results, the system achieves more reliable genre identification while maintaining automatic operation.
Solution Approach 2:
The system uses feedback by comparing genre recognition confidence values between current and previous frames. The image quality controller receives feedback about genre confidence changes and adjusts image quality control factors accordingly, preventing erroneous control when recognition accuracy is low.
2Extent of automation
If genre recognition results are directly applied to image quality control, then automatic image quality control is achieved, but large differences in image quality between frames occur due to recognition errors
Solution Approach 1:
The system performs preliminary action by identifying and comparing genre recognition confidence values before applying image quality control. The image quality controller预先 determines whether the current frame's genre recognition is reliable by comparing it with the previous frame, and only applies genre-specific image quality control when the confidence difference indicates reliable recognition.
Solution Approach 2:
The system implements feedback by continuously monitoring genre recognition confidence values and using this information to adjust image quality control decisions. When confidence values change significantly between frames, the system adjusts control factors smoothly to maintain image quality consistency.
3Reliability
If manual image quality control is performed, then users can select specific modes, but the operation becomes inconvenient and requires expert knowledge
Solution Approach 1:
The system applies self-service by automatically performing image quality control based on genre recognition without requiring user intervention. The image quality controller automatically identifies content genre, determines appropriate control factors, and adjusts image quality parameters, freeing users from complex manual operations while maintaining expert-level control precision.
Solution Approach 2:
The patent replaces the mechanical manual control system with an automated intelligent system. Instead of requiring users to manually select modes and adjust parameters, the system uses AI-based genre recognition and automatic control algorithms to substitute the manual operation process, maintaining precision while improving convenience.
Data Source
AI summary
Provided are an image processing apparatus and method. The image processing apparatus includes a decoder configured to decode image frames of an image; an image quality controller configured to obtain a genre recognition confidence of a previous image frame and a genre recognition confidence of a current image frame, and identify image quality control factor value, based on the genre recognition confidence of the previous image frame and the genre recognition confidence of the current image frame; and an image quality processor configured to image-quality process at least one of the decoded image frames by using the image quality control factor value, and output the processed at least one of the decoded image frames.