Webtoon Region Feature Matching for Forgery Detection
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Solution Overview
Problem
Conventional webtoon forgery and alteration determination technologies struggle to accurately identify modifications in webtoon content, especially when minor alterations or resizing occurs, due to the reliance on watermarking methods.
Innovation Solution
An apparatus and method that divide webtoon content into regions, remove unnecessary spaces and text, apply filters to enhance outlines, and use algorithms like Canny Edge Detector and SURF to extract and compare feature information across selected regions for similarity determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If watermarking method is used for forgery determination, then the process is simple, but it cannot accurately detect modifications when webtoon content is slightly altered or cropped
Solution Approach 1:
The patent divides webtoon content into multiple regions (e.g., 3x3 grid) and extracts features from each region separately. This segmentation allows the system to detect local modifications even when only part of the content is altered, significantly improving forgery detection accuracy compared to global watermarking methods.
Solution Approach 2:
The patent extracts specific feature information from webtoon content including outline information, text information, and object information. By isolating and analyzing these specific features rather than relying on watermarks, the system achieves more accurate detection of content modifications while maintaining a manageable processing complexity.
2Measurement precision
If the entire webtoon content is analyzed in full resolution, then detection accuracy is maximized, but processing time and computational resources increase significantly
Solution Approach 1:
By dividing the webtoon content into multiple smaller regions, the system can process each region independently and in parallel. This reduces the computational burden compared to analyzing the entire high-resolution image at once, while still maintaining high detection accuracy through comprehensive regional analysis.
Solution Approach 2:
The patent selects representative regions from the divided webtoon content for detailed feature extraction and comparison. Instead of processing every single pixel or region with equal depth, the system focuses computational resources on key regions that contain critical feature information, thereby reducing overall processing time while maintaining sufficient detection accuracy.
Data Source
AI summary
An apparatus for judging forgery webtoon contents using extraction region, includes an original webtoon feature extraction unit that extracts the webtoon in cut units, divides the webtoon into a plurality of regions, and extracts feature information for each of a plurality of divided regions when original content is input; a query target webtoon feature extraction unit that extracts the webtoon in cut units, removes an unnecessary space or a text region, divides the webtoon into a plurality of regions, extracts feature information for each of the plurality of divided regions, and selects the plurality of regions when query target content is input; and a determination unit that compares feature information of original data regions that match the selected plurality of query data regions to determine a similarity, and determines whether the query target content is forged and altered using a determination result.