ROI Video Coding Using Motion Vectors for Precise Part Analysis
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Solution Overview
Problem
Existing techniques for analyzing video images lack accuracy if the image quality of the affected part is insufficient, and there is a need for appropriate distribution of a video image of a specific part for testing, estimation, or medical examination.
Innovation Solution
An information processing system that acquires vectors of movements for subareas of a video image frame, estimates the position of a specific part, and sets coding parameters based on this position to enhance the image quality of the specific part for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image quality of the affected part in the video image is improved, then the analysis accuracy is improved, but the bandwidth usage increases and power consumption increases
Solution Approach 1:
The patent applies local quality by differentiating the image quality requirements for different regions of the video frame. The affected part (region of interest) is processed with high quality to ensure analysis accuracy, while other regions are processed with lower quality to reduce overall bandwidth and power consumption. This is achieved through selective motion compensation and differential encoding strategies.
Solution Approach 2:
The patent segments the video image into multiple regions, specifically identifying the affected part as a distinct region of interest. By dividing the frame into relevant and irrelevant areas, the system can apply different processing intensities and coding parameters to each segment, optimizing the balance between analysis accuracy and resource consumption.
2Measurement precision
If the image quality of the affected part in the video image is improved, then the analysis accuracy is improved, but the bandwidth usage increases
Solution Approach 1:
The system enhances image quality locally only in the affected part region while maintaining lower quality in other areas. This selective quality enhancement ensures that the bandwidth is consumed efficiently by prioritizing the transmission of high-quality data only where it is needed for analysis, rather than uniformly across the entire frame.
Solution Approach 2:
The patent extracts the affected part from the rest of the video image as a separate region of interest. By isolating and processing this specific area with higher quality parameters, the system removes the unnecessary bandwidth consumption associated with transmitting high-quality data for irrelevant regions, thus reducing overall bandwidth usage while maintaining analysis accuracy.
3Measurement precision
If motion compensation is performed for the entire screen, then the tracking accuracy is improved, but the processing time increases
Solution Approach 1:
The patent segments the motion compensation process by focusing computational efforts only on the affected part region rather than the entire screen. By dividing the processing scope into relevant and irrelevant areas, the system maintains tracking accuracy for the affected part while significantly reducing the overall processing time through selective motion vector calculation and compensation.
Solution Approach 2:
The system applies partial action by performing motion compensation only on the necessary region (affected part) rather than the entire frame. This selective approach provides sufficient tracking accuracy for the region of interest while avoiding the excessive processing time that would result from analyzing the complete screen, thus optimizing the trade-off between accuracy and speed.
Data Source
AI summary
An information processing system (1) includes: acquisition means (11) for acquiring, regarding a frame of a video image distributed via a network, information indicating vectors of movements regarding respective subareas obtained by dividing the frame of the video image into a plurality of areas; estimation means (12) for estimating a position of an area of a specific part of a subject in the frame of the video image based on the information indicating the vectors of the movements acquired by the acquisition means; and control means (13) for causing a coding parameter to be set for the frame of the video image based on the position of the area of the specific part estimated by the estimation means.