Intelligent watermark replacement method and system based on multi-modal feature matching

The intelligent watermark replacement method, which uses multimodal feature matching and dynamic parameter decision-making, solves the problems of low efficiency and inconsistent results in watermark processing. It achieves efficient and automated watermark replacement and visual style fusion, thereby improving the success rate of watermark recognition and processing efficiency.

CN122289416APending Publication Date: 2026-06-26XIAMEN CHUANGSHI THREAD TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
XIAMEN CHUANGSHI THREAD TECHNOLOGY CO LTD
Filing Date
2026-03-31
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies for watermarking suffer from problems such as low efficiency, inconsistent results, strong skill dependence, limited recognition capabilities, unnatural repair effects, reliance on manual style adaptation, fixed parameters, and non-end-to-end processes, which fail to meet actual needs.

Method used

A smart watermark replacement method based on multimodal feature matching is adopted. The watermark region is identified through a multimodal feature parsing module. Combined with dynamic parameter decision and an integrated generation network, the adaptive replacement of watermarks and visual style fusion are achieved. This includes multimodal feature extraction, dynamic OCR threshold calculation, attention-gated U-Net generator, and dynamic style transfer.

Benefits of technology

It significantly improves the success rate and robustness of watermark recognition, generates and repairs high-quality watermarks with a seamless fusion rate of over 98%, maintains a visual consistency score of over 95, and improves processing efficiency by 80%, achieving automated and accurate watermark replacement.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides an intelligent watermark replacement method and system based on multimodal feature matching. The method includes: reading the image to be processed; extracting the text, visual, and positional features of the watermark using a multimodal feature parsing module, and outputting a multimodal feature vector; dynamically calculating the OCR confidence threshold and the number of generator iterations based on image complexity and processing feedback to achieve adaptive parameter adjustment; performing watermark generation and background restoration tasks in an integrated manner using an improved attention-gated U-Net generator; transferring the visual style of the original image to the new watermark area using a dynamic style transfer module to achieve automatic visual adaptation; and calculating a visual consistency score through a quantitative evaluation module and feeding it back to the dynamic parameter decision module to form a closed-loop optimization. This invention achieves accurate identification and adaptive replacement of watermarks from complex background images, while ensuring a high degree of consistency between the replacement area and the visual style of the original image.
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