A method and system for cross-format document page replacement based on dynamic metadata mapping

By constructing a three-dimensional metadata model and applying a dual-channel replacement mechanism of convolutional neural networks and generative adversarial networks, the problems of format fidelity and dynamic element updates in Word to PDF page replacement are solved, achieving efficient, logically and visually consistent document replacement results.

CN121092746BActive Publication Date: 2026-05-05ADVANCED SYST DEV
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Patent Information

Application Number
CN202511215546.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-08-28
Publication Date
2026-05-05
Estimated Expiration
2045-08-28

AI Technical Summary

Technical Problem

Existing technologies cannot simultaneously meet the requirements of format preservation, efficient processing, and dynamic element updates when handling specified page replacement after converting Word to PDF.

Method used

A three-dimensional metadata model is constructed, a dual-channel replacement mechanism and a multi-dimensional verification system are adopted, and style migration is performed by combining convolutional neural networks and generative adversarial networks. An incremental update strategy and cross-page element continuation technology are used to ensure the consistency of the replaced content with the original page style and the integrity of the document.

Benefits of technology

It enables efficient and accurate cross-format document page replacement, ensuring logical and visual consistency of the replaced document, improving processing efficiency and guaranteeing document quality.

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Abstract

This invention relates to the field of computer application technology, and in particular to a method and system for cross-format document page replacement based on dynamic metadata mapping. The method includes the following steps: S1, constructing a three-dimensional metadata model and using the three-dimensional metadata model to perform multi-dimensional document structure parsing. The three-dimensional metadata model includes a content topology layer, a dynamic element layer, and a style rule base; S2, adopting a dual-channel replacement mechanism, using physical and logical channels, and combining the results of the parsing in step S1, to collaboratively complete the page replacement operation and obtain a document with completed page replacement; S3, for the document with completed page replacement, using a page number update algorithm to track page number reference relationships, and using cross-page element automatic continuation technology to achieve automatic continuation of cross-page elements; S4, establishing a three-dimensional verification system to ensure the accuracy of page replacement and the quality of the replaced document from different levels; while taking into account the needs of format fidelity, efficient processing, and dynamic element updates.
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