Video monitoring image storage and retrieval method

Abstract

The invention discloses a video monitoring image storage and retrieval method. The method comprises the following steps that position parameter information and optical parameter information of a camera are synchronously recorded in a video monitoring image file; after the video monitoring image file is transmitted to a server, the server obtains a space-time coverage range corresponding to a video monitoring image and a camera motion state according to the position parameter information and the optical parameter information, wherein the X axis of the space-time coverage range serves as a longitude, the Y axis of the space-time coverage range serves as a latitude, and the Z axis of the space-time coverage range serves as the time, and the camera motion state comprises rotating and stretching operations. A monitoring video space-time database is formed by the space-time coverage range, the motion state and the corresponding video monitoring image; inquiry of the monitoring video on the basis of time and space is achieved through the monitoring video space-time database. According to the video monitoring image storage and retrieval method, the defect of video data retrieval based on image content is overcome, and retrieval based on the time-space coverage range is achieved.

Description

technical field [0001] The invention relates to the field of video monitoring, and more specifically relates to a method for storing and retrieving video monitoring images. Background technique [0002] With the development and deepening of various policies such as safe city construction, many cities have begun to deploy a large number of monitoring equipment and have generated massive video data. How to retrieve these video data to obtain valuable information is still the key to safe city construction. a challenge. In order to solve the problems of difficult data organization and low retrieval efficiency in existing video data organization and retrieval, some people proposed to combine video data with camera location information, organize video data through maps, and index event occurrence time , Location search for video clips of interest, so as to realize the search and analysis of massive video data, and promote the construction process of safe cities. [0003] Toyama ...

AI Technical Summary

Problems solved by technology

[0005] Surveillance cameras do not have a positioning function, and placing key frames on the map is only a rough positioning, with a low degree of accuracy. It is necessary to manually place the video data on the map according to the recorded location information. There are human errors, which will also bring certain Accuracy is affected, and it is not suitable for large-scale promotion;

[0006] It only locates the position of the camera, and does not consider the temporal and spatial coverage of the video content. It can simply place the key frames of the video on the map, and cannot accurately save and reconstruct the surveillance video coverage. bring inconvenience;

[0007] It is only placed for the key frames of the video without considering the content of the entire video, so it is impossible to accurately infer the occurrence of continuous events in the surveillance video, which brings some troubles to the subsequent data analysis work

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