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Video image storage method, device and equipment and storage medium

A video image and abnormal location technology, applied in the video field, can solve the problem of wasting storage space, and achieve the effect of reducing storage capacity, improving efficiency, and increasing accuracy

Inactive Publication Date: 2019-07-12
南京云朵数据科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, the monitoring area is kept in a static state for a long time, so a piece of redundant video information is recorded, wasting storage space

Method used

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  • Video image storage method, device and equipment and storage medium
  • Video image storage method, device and equipment and storage medium
  • Video image storage method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] figure 1 It is a schematic flowchart of a method for storing video images provided by Embodiment 1 of the present invention. The method of this embodiment is applicable to the situation of recognizing dynamic images under video surveillance. The method in this embodiment can be executed by a video image storage device, which can be implemented by software and / or hardware, and can generally be integrated into a server or a terminal device. refer to figure 1 , the video image storage method of the embodiment of the present invention specifically includes the following steps:

[0043] Step 110, using a neural convolutional network to extract the first feature code of the current frame of the video image;

[0044] Specifically, a neural convolutional network is used to extract the first feature code of the current frame of the video image, and the first feature code includes feature information of the current frame. For example, in the video surveillance of the entrance ...

Embodiment 2

[0051] figure 2 It is a schematic flowchart of a video image storage method provided by Embodiment 2 of the present invention. The method of this embodiment is applicable to the situation of recognizing dynamic images under video surveillance. The method in this embodiment can be executed by a video image storage device, which can be implemented by software and / or hardware, and can generally be integrated into a server or a terminal device. refer to figure 2 , the video image storage method of the embodiment of the present invention specifically includes the following steps:

[0052] Step 210, determine the object or location that needs dynamic video surveillance.

[0053] Specifically, the monitoring object or position in this case is the object or position where the target object (person, car, etc.) changes or is in motion within a preset range. For example, one or more of parking lots, supermarkets, sports venues, roadside mountains with a tendency to slide, and entran...

Embodiment 3

[0071] The video image storage device provided in the embodiment of the present invention can execute the video image storage method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. image 3 It is a schematic structural diagram of a video image storage device in Embodiment 3 of the present invention. refer to image 3 The video image storage device provided by the embodiment of the present invention may specifically include:

[0072] An extraction unit 310, configured to extract the first feature code of the current frame of the video image using a neural convolutional network;

[0073] The comparison unit 320 is configured to compare the first feature code with one or more predefined second feature codes to confirm whether the current frame is abnormal, and the second feature code is predefined in the video image The feature code corresponding to the normal screen;

[0074] Judgme...

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PUM

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Abstract

The embodiment of the invention discloses a video image storage method and device, equipment and a storage medium. The method comprises the following steps: extracting a first feature code of a current frame image of a video image by adopting a neural convolutional network; comparing the first feature code with one or more pre-defined second feature codes to confirm whether the current frame of image is abnormal or not, the second feature code being a feature code corresponding to a pre-defined normal image in the video image; and if the current frame of picture is abnormal, storing the current frame of picture, the first feature code and / or the current frame of picture marked by using the first feature code, and if the current frame of picture is normal, abandoning the current frame of picture, the first feature code and / or the current frame of picture marked by using the first feature code. According to the technical scheme provided by the embodiment of the invention, the neural convolutional network is adopted to identify the image and extract the image feature code, so that the storage amount of the monitored video data is greatly reduced, and the accuracy of video monitoring is improved.

Description

technical field [0001] Embodiments of the present invention relate to video technology, and in particular, to a video image storage method, device, device, and storage medium. Background technique [0002] A video capture device is generally composed of a capture host, a camera, a display, a large-capacity storage device, and an input device. When the video capture device is working, video recording and storage are usually performed automatically. Due to the limited capacity of the video storage device, when the video storage reaches a certain limit, the previous video is generally automatically overwritten and recorded repeatedly. Therefore, the effective video duration of the video capture device is determined by the storage capacity. If the storage capacity is large, the effective video duration will be long, otherwise it will be short. In order to increase the duration of the effective video, the user is often equipped with a large-capacity storage device. [0003] Fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00H04N19/172H04N7/18
CPCH04N19/172H04N7/18G06V20/40G06V20/52
Inventor 刘青青
Owner 南京云朵数据科技有限公司
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