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
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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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