Image Transmission System Region Division and Representative Point Extraction
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Solution Overview
Problem
Existing image region division processing methods require significant data storage and transmission bandwidth, especially when transmitting region division results in the format of label maps, which is inefficient for image transmission systems involving network cameras and servers.
Innovation Solution
An image transmission system that divides image data into regions based on pixel similarity and transmits region representative points, allowing the server to generate region labels for processing, thereby reducing data storage and transmission requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If label map format is used to transmit region division results, then complete region information is transmitted, but transmission band and data storage requirements become very large
Solution Approach 1:
The patent extracts only the essential region representative points from the complete label map data. Instead of transmitting all pixel-level region labels, it identifies and transmits only the key representative points that define each region, dramatically reducing transmission data while preserving the ability to reconstruct region information at the receiver end
Solution Approach 2:
The receiver end reconstructs the complete region label map by copying and expanding the transmitted representative points back into full region information. This allows the system to transmit minimal data while the receiving end generates the complete region structure needed for processing
2Quantity of substance
If label map compression techniques are used, then transmission data amount is reduced to a fraction, but transmission band is still not minimized
Solution Approach 1:
The patent applies extraction by identifying and transmitting only the minimal set of representative points that define regions, rather than compressing the entire label map. This avoids complex compression algorithms while achieving superior data reduction by transmitting only the essential geometric information needed to reconstruct regions
3Ease of operation
If region division results are stored in camera memory, then processing can be performed locally, but memory size and readout bandwidth requirements increase
Solution Approach 1:
The patent extracts only the essential representative points for storage and transmission, rather than storing complete region label maps. This allows the camera to perform local region division processing while minimizing memory requirements by storing only the compact representative point data needed for subsequent operations
Data Source
AI summary
A transmission device divides image data into a plurality of regions on the basis of a similarity of pixels and transmits the image data and region representative points of the plurality of regions. A reception device receives the image data and the region representative points transmitted from the transmission device. The reception device generates region labels used for identifying the plurality of regions using the image data and the region representative points.