Method for searching subsequent alarm picture

Abstract

The invention discloses a method for searching a subsequent alarm picture. The method comprises the following steps that: searched character request information is submitted from a user computer to a hyper text transfer protocol (HTTP) server; the HTTP server judges whether the submitted searched character request information is legal or not; a database server searches according to the condition of a searching request after receiving the searching request; the database server sends a search result back to the HTTP server, wherein the search result comprises an alarming picture name; the HTTP server sends a request to a file storage server; the file storage server starts to search a picture file with a file name after receiving the request which is sent by the HTTP server, and sends the picture file with the file name back to the HTTP server; and the HTTP server receives alarming character information and an alarming picture file and sends the information back to the user computer, and a required result is acquired by the user computer. By the method, searching efficiency is improved.

Description

technical field [0001] The invention relates to a search method, in particular to a search method for post-event alarm pictures. Background technique [0002] At present, the common way to look back at the scene of the incident is to play the live video and view screenshots of the incident, and to watch the video repeatedly by dragging the time axis of the player, looking for useful information from the video information, or analyzing the existing after-the-fact information. Screenshots for review and verification. When viewing screenshots, it is necessary to compare them one by one, and cannot selectively filter, and cannot flexibly search and look back at the scene where the incident occurred based on attribute characteristics. [0003] Once it is necessary to retrieve an event whose exact occurrence time is unknown, the traditional approach will have to face the problem of viewing a large number of pictures or videos one by one, and the time it takes to find the result i...

AI Technical Summary

Problems solved by technology

When viewing screenshots, it is necessary to compare them one by one, and cannot selectively filter, and cannot flexibly search and look back at the scene where the incident occurred based on attribute characteristics

[0003] Once it is necessary to retrieve an event whose exact time of occurrence is unknown, the traditional approach will have to face the problem of viewing a large number of pictures or videos one by one, and the time it takes to find the result is unpredictable

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