Thumbnail-Based Image Matching for Compressed Surveillance Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Surveillance cameras, especially wearable ones, face challenges with blind spots and image data compression that results in unclear images due to high-compression encoding schemes like MPEG2 and H.264, leading to inadequate image quality for effective service support.
Innovation Solution
An image processing system with a terminal and server configuration that includes image accumulation, transmission, and matching units to enhance image quality while reducing data size, using dynamic compression and image ID-based data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If high-compression encoding schemes (MPEG2, H.264) are applied to captured image data, then the amount of image data transmitted is reduced, but the image quality deteriorates with compressive artifacts
Solution Approach 1:
The patent divides the image data into multiple resolutions: full-resolution images are stored locally in the wearable device, while lower-resolution thumbnails are transmitted to the server. This segmentation allows the system to maintain high image quality locally while reducing transmission data volume.
Solution Approach 2:
The patent applies different quality levels to different parts of the system: full-resolution images are maintained locally in the wearable device for quality-critical operations, while lower-resolution images are transmitted for preliminary processing and matching, optimizing both quality and transmission efficiency.
2Manufacturing precision
If full-resolution images are transmitted to the server, then image quality is maintained, but the data transmission size increases
Solution Approach 1:
The patent segments image data into two categories: full-resolution images stored locally and lower-resolution thumbnails transmitted to the server. This reduces transmission data size while preserving full-resolution images for quality-critical operations.
Solution Approach 2:
The patent transmits only partial image data (lower-resolution thumbnails) to the server for preliminary processing, while retaining full-resolution images locally. This partial transmission approach reduces data size while maintaining the capability to access full-resolution images when needed.
3Measurement precision
If image matching is performed on full-resolution images, then matching accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs image matching in two stages: first using lower-resolution thumbnails for preliminary matching to quickly identify potential matches, then using full-resolution images only for confirmed matches. This two-stage approach significantly reduces processing time while maintaining matching accuracy.
Solution Approach 2:
The patent applies partial image matching by first processing lower-resolution thumbnails to identify potential matches, then applying full-resolution matching only to selected cases. This partial processing approach reduces computational resources and processing time while maintaining overall matching accuracy.
Data Source
AI summary
The disclosed embodiments include computer-implemented devices, systems, and methods that support image processing services. In an embodiment, a server may match a partial image received from a terminal with stored candidate image in the memory, and upon identification of a match, transmit information identifying the matched candidate image to the terminal.