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Video detection process based on video abstraction and video retrieval

A video summary and video technology, applied in the field of computer vision, can solve the problems of easily missing targets and low efficiency, and achieve the effect of improving the efficiency of solving crimes, reducing pressure, and ensuring information security

Inactive Publication Date: 2014-05-07
SUZHOU QIANSHI COMM TECH
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Problems solved by technology

However, the previous method of video forensic investigation by manually watching massive videos was inefficient and easy to miss the target

Method used

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  • Video detection process based on video abstraction and video retrieval
  • Video detection process based on video abstraction and video retrieval

Examples

Experimental program
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Embodiment Construction

[0025] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0026] refer to figure 1 As shown, a video reconnaissance process based on video summarization and video retrieval includes the following steps:

[0027] Step 1) Obtain or copy the original video from the monitoring platform, catalog the video according to the needs of case management, add the basic information of the case and video, and store it in the storage server;

[0028] Step 2) Configure analysis parameters on the enrichment and retrieval client according to needs; if the characteristics of the suspect target are not known before the video investigation, only the enrichment operation is performed; if the suspect target is already known before or during the investigation According to these features, video retrieval can be performed according to the features; the required video is selected from the storage server and submitted...

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Abstract

The invention discloses a video detection process based on video abstraction and video retrieval. The process comprises the steps an original video related to a case is obtained from a video monitoring platform or obtained locally by a system, case basic information is added, list processing is conducted on the video, then the video is stored to a storage server, the system analyzes the video, the video is concentrated at first, frames with no movable object are removed, frames with movable objects are reserved, the concentrated video and full snapshots of all the movable targets are obtained, a suspicion target is determined according to the concentrated video and the target snapshots in cooperation with manual screening in a video comparison mode, and video clips of the suspicion target and the suspicion target snapshots are obtained. According to the video detection process based on video abstraction and video retrieval, the video clips and snapshots of the suspicion target can be obtained from the mass original videos, and the video surveillance efficiency of public security organs is improved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a video investigation process based on video summarization and video retrieval. Background technique [0002] With the advancement of "Safe City" and "Skynet Project", video investigation using surveillance video as clues to solve crimes has become an important means of public security criminal investigation and investigation, which has greatly cracked down on the criminal behavior of lawbreakers. However, the previous method of video criminal investigation by manually watching massive videos was inefficient and easy to miss targets. [0003] Video investigation generally only focuses on active targets, and some characteristics of suspected targets can also be obtained through eyewitnesses or preliminary investigations. Through video enrichment summary and video retrieval technology, it is possible to omit images without moving objects, and search for suspicious objects in moving...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/739G06F16/7328G06F16/9537
Inventor 姚领众
Owner SUZHOU QIANSHI COMM TECH
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