Gaze-Region Video Processing for Accurate Recognition with Lower Data Volume
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Solution Overview
Problem
Existing video processing systems face challenges in improving recognition accuracy while minimizing data transmission, as high compression rates or data loss lead to erroneous recognition.
Innovation Solution
A video processing system that controls image quality of a gaze region, performs recognition processing, predicts the position of the gaze target in subsequent videos, and determines the gaze region for quality control based on the predicted position, thereby enhancing recognition accuracy while reducing data volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image quality is improved for recognition processing, then recognition accuracy is improved, but data transmission volume increases
Solution Approach 1:
The patent applies local quality by selectively improving image quality only in the gaze region (region of interest) while maintaining lower quality in other regions. This is achieved through region-of-interest (ROI) based image processing where the gaze target area is identified and enhanced with higher resolution and less compression, while non-gaze areas are transmitted with lower quality to reduce overall data volume.
2Quantity of substance
If compression rate is increased to reduce data transmission, then data transmission volume is reduced, but recognition accuracy deteriorates
Solution Approach 1:
Different compression rates are applied to different regions of the video. The gaze region maintains lower compression to preserve recognition accuracy, while non-gaze regions use higher compression to reduce data transmission volume. This selective compression strategy resolves the contradiction by localizing quality requirements.
Solution Approach 2:
The video frame is segmented into gaze region and non-gaze region based on detected gaze targets. This segmentation allows independent processing of each region with appropriate compression levels, enabling the system to reduce overall data volume while maintaining accuracy in critical areas.
3Measurement precision
If high quality video is transmitted for all regions, then recognition accuracy is improved, but network bandwidth consumption increases
Solution Approach 1:
The system transmits high quality video data only for the gaze region where recognition processing is performed, while transmitting lower quality data for other regions. This localized quality approach significantly reduces network bandwidth consumption while maintaining sufficient quality for recognition tasks in the critical gaze area.
Data Source
AI summary
A video processing system (10) includes an image quality control unit (11) that controls an image quality of a gaze region including a gaze target in an input video, a recognition unit (12) that performs recognition processing of recognizing the gaze target on the video in which the image quality of the gaze region is controlled, a prediction unit (13) that predicts a position of the gaze target in a video subsequent to the video on which the recognition processing has been performed, based on extraction information extracted from the recognition processing, and a determination unit (14) that determines the gaze region for which the image quality control means (11) controls an image quality in the subsequent video, based on the predicted position of the gaze target.