一种交通车站监控视频的图像压缩处理方法

By using the inter-frame difference method and the pose estimation key point algorithm, the importance values ​​of different areas in the traffic station monitoring video are calculated, and an appropriate compression ratio is selected for compression. This solves the problems of low compression efficiency and loss of key information in the existing technology, and achieves efficient image compression and preservation of key information.

CN121771398BActive Publication Date: 2026-07-17BEIJING HUNTER INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING HUNTER INFORMATION TECH CO LTD
Filing Date
2025-12-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to improve compression efficiency while preserving important data when compressing surveillance videos at transportation stations, and existing methods may result in loss of visual quality in critical areas.

Method used

The inter-frame difference method and pose estimation keypoint algorithm are used to calculate the importance value of different regions in the image. Different compression ratios are selected according to the importance to compress the image, and the information of important regions is preserved.

Benefits of technology

By differentiating the compression ratios of important and unimportant regions in an image, compression efficiency is improved, storage space is saved, and the integrity of critical information is ensured at the same time.

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Abstract

本申请公开了一种交通车站监控视频的图像压缩处理方法,涉及图像压缩技术领域。该交通车站监控视频的图像压缩处理方法,包括:采用帧间差分法基于所述乘客图像数据,获取多个运动区域;基于各个运动区域,获取对应的第一重要程度值;基于各个重要运动区域,获取对应的第二重要程度值;基于所述第一重要程度值和所述第二重要程度值,获取对应重要运动区域的压缩比。本申请通过计算每帧图像中不同区域的重要程度值,对图像中重要的区域使用较低的压缩比进行压缩,以保存图像中重要的信息,对于不重要的区域使用较高的压缩比进行压缩,以提升压缩效率,节省压缩数据存储空间。
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Citation Information

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