A scrolling screenshot method, an electronic device, and a computationally readable storage medium

By comparing the similarity of pixel areas in two consecutive screenshots, the end position of the repeated area is determined and confirmed, which solves the problems of long recognition time and insufficient accuracy in the existing technology, and realizes faster and more accurate recognition of repeated areas and long screenshot stitching.

CN122086294APending Publication Date: 2026-05-26HUAWEI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUAWEI TECH CO LTD
Filing Date
2024-11-26
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In existing technologies, the image recognition algorithm used by electronic devices to identify repeated areas during the scrolling screenshot process is time-consuming and inaccurate. In particular, it is difficult to accurately identify repeated areas when there are animated images or changes in pixel values, resulting in the failure of stitching long screenshots.

Method used

By comparing the similarity of pixel regions in two screenshots, duplicate regions are identified. The minimum similarity value of pixel regions is used to determine the end position of the duplicate region. Combining pixel comparison with the division and confirmation of the end position of the duplicate region improves the recognition accuracy and splicing success rate.

Benefits of technology

It speeds up the identification of duplicate areas, reduces workload, improves the accuracy of identifying duplicate areas and the success rate of stitching long screenshots, and enhances the user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides a scrolling screenshot method, an electronic device, and a computationally readable storage medium. The electronic device can identify overlapping regions in two screenshots taken in successive screenshot operations based on the minimum similarity of pixel regions between the two screenshots. Then, based on the overlapping regions and the two screenshots from the successive operations, a long screenshot is obtained. This improves the similarity of overlapping regions identified by the electronic device and also increases the success rate of the electronic device in stitching together long screenshots.
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