Video Recognition Using Integrated Image Quality Features
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video processing technologies fail to effectively address changes in image quality, leading to inaccurate recognition processing.
Innovation Solution
A video processing apparatus and system that generates image quality feature information and integrates it with video data to enhance recognition accuracy by suppressing the influence of image quality changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video data is processed for recognition without considering image quality changes, then processing is simpler and faster, but recognition accuracy deteriorates when image quality changes occur
Solution Approach 1:
The system performs preliminary action by generating image quality feature information and creating integrated data that incorporates both video features and image quality characteristics before recognition processing. This preprocessing step prepares the data in advance to compensate for potential image quality changes, allowing the recognition unit to achieve accurate results even when quality varies, without adding complexity to the core recognition algorithm.
Solution Approach 2:
The integrated data serves as an intermediary between the raw video data and the recognition unit. By combining video features with image quality feature information into this intermediate representation, the system mediates the effect of image quality changes before they reach the recognition process, thereby maintaining accuracy without requiring the recognition unit itself to be complex or quality-aware.
2Reliability
If image quality feature information is generated and integrated with video data, then recognition accuracy is maintained under quality changes, but processing complexity increases
Solution Approach 1:
The system performs preliminary action by generating image quality feature information and creating integrated data that incorporates both video features and image quality characteristics before recognition processing. This preprocessing step prepares the data in advance to compensate for potential image quality changes, allowing the recognition unit to achieve accurate results even when quality varies, without adding complexity to the core recognition algorithm.
Solution Approach 2:
The integrated data serves as an intermediary between the raw video data and the recognition unit. By combining video features with image quality feature information into this intermediate representation, the system mediates the effect of image quality changes before they reach the recognition process, thereby maintaining accuracy without requiring the recognition unit itself to be complex or quality-aware.
Data Source
AI summary
A video processing apparatus according to one aspect of the present example embodiment includes: at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: generate image quality feature information indicating a feature of image quality information indicating an image quality of a video in time and space; generate integrated data obtained by integrating information regarding a video including a feature of the video in time and space and the image quality feature information; and execute recognition processing on a subject included in the video based on the integrated data.