Image Processing Apparatus ROI Compression for Surveillance
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Solution Overview
Problem
Conventional image processing apparatuses for surveillance cameras face increased processing loads when using JPEG 2000 CODEC to compress images with varying picture qualities across different areas, leading to reduced image quality of moving objects and inefficient data compression.
Innovation Solution
The apparatus detects overlapping regions of interest (ROI) and sets a compound area to reduce processing load, compressing images with different compression rates for areas with and without movement, ensuring higher quality images of moving objects while maintaining efficient data compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the JPEG 2000 CODEC compresses images with different picture qualities for different noticed areas, then the image quality of noticed areas is improved, but the processing amount of the JPEG 2000 CODEC increases
Solution Approach 1:
The patent merges multiple noticed areas into a single compound noticed area when they overlap or are adjacent. This consolidation reduces the number of separate compression operations needed, thereby decreasing the processing amount of the JPEG 2000 CODEC while still maintaining high image quality across all noticed areas through unified compression parameter application.
2Manufacturing precision
If the ROI area is set to include the area with moving objects, then the image quality of moving objects is improved, but when the object stops moving the area is incorrectly identified as a still area
Solution Approach 1:
The patent implements dynamic adjustment of the ROI area based on object motion state. When an object is detected as moving, the ROI area is expanded to include the object and its surrounding context. The system continuously monitors motion and adjusts the ROI boundaries accordingly, ensuring that when an object stops moving, the ROI area is appropriately modified to maintain correct identification and consistent high-quality compression.
3Manufacturing precision
If multiple noticed areas are compressed with different compression rates, then the image quality of each noticed area is optimized, but the data amount reduction efficiency decreases
Solution Approach 1:
The patent combines multiple noticed areas into a single compound noticed area to enable unified compression processing. This approach maintains the ability to optimize image quality for noticed areas while improving data compression efficiency by reducing the overhead of multiple separate compression operations and enabling better overall data management.
Data Source
AI summary
When a moving area and a fixed area are detected on a screen, it is determined whether the detected moving area and the fixed area overlap or not. As a result, when it is determined that an overlap exists, a compound area is set so as to include noticed areas to be overlapped. Next, the set compound area is compressed by taking advantage of an ROI function so as to keep a compression target size of the whole screen. Therefore, this enables to reduce a processing amount of a JPEG 2000 CODEC. In addition, a size and a location of the ROI area are changed so as to include a motion range of the object with movement into the noticed area. As a result, it is capable to progress in a surveillance function, because the motion range of the object with movement is included into the noticed area.