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Video deduplication and compression method and device, server and storage medium
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A video compression, video technology
Inactive Publication Date: 2020-03-31
深圳云朵数据技术有限公司
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Abstract
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Problems solved by technology
The development of traditional video compression technology has entered a period of stagnation and cannot achieve major breakthroughs. With the rapid development of neural networks, we can use neural networks to achieve more efficient video compression
Method used
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Embodiment 1
[0044] figure 1 It is a schematicflow chart of a video deduplication and compression method provided in Embodiment 1 of the present invention, and this embodiment of the present invention is applicable to video deduplication and compression. The method in the embodiment of the present invention can be executed by a device for deduplication and compression of video, 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 deduplication compression method of the embodiment of the present invention, specifically comprises the following steps:
[0045] Step S110, extracting the first frame image from the target video as the reference image of the compression set.
[0046] Specifically, the target video is a video that needs to be processed, for example, a surveillance video. A video is actually composed of multiple consecutive images in chronological order. A frame is a single image ...
Embodiment 2
[0067] A video deduplication compression device provided in an embodiment of the present invention can execute a video deduplication compression method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. The device can be controlled by software and / or hardware (integrated circuits), and generally can be integrated into servers or terminal devices. figure 2 It is a schematic structural diagram of the device 200 for video deduplication and compression in Embodiment 2 of the present invention. refer to figure 2 , the video deduplication and compression apparatus 200 of the embodiment of the present invention may specifically include:
[0068]The first extraction unit 210 is used to extract the first frame image from the target video as the reference image of the compression set;
[0069] The first feature unit 220 is used to obtain the neural convolution image features of the first fram...
Embodiment 3
[0083] image 3 A schematic structural diagram of a server provided by Embodiment 3 of the present invention, such as image 3 As shown, the server includes a processor 310, a memory 320, an input device 330 and an output device 340; the number of processors 310 in the server can be one or more, image 3 Take one processor 310 as an example; the processor 310, memory 320, input device 330 and output device 340 in the server can be connected by bus or other methods, image 3 Take connection via bus as an example.
[0084] The memory 320, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions / modules corresponding to the video deduplication and compression method in the embodiment of the present invention (for example, video deduplication compression The first image extraction unit 210, the first feature acquisition unit 220, the second image generation unit 230 and the second image ...
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Abstract
The embodiment of the invention discloses a video deduplication and compression method and device, a server and a storage medium. The method comprises the following steps: extracting a first frame image from a target video as a reference image of a compression set; obtaining a neural convolution image feature of the first frame image; for each frame of image starting from the second frame of imageof the target video, calculating the distance between the neural convolution image feature of the current frame of image and the neural convolution image feature of the reference image; judging whether the distance is greater than a preset threshold value or not; if yes, storing the current frame image into the compression set and defining the current frame image as a new reference image; and ifso, deleting the current frame image. According to the technical scheme of the embodiment of the invention, the neural network technology is fused into the video deduplication compression technology by calculating the distance between the neural convolution image feature of the current frame image and the neural convolution image feature of the reference image, so that the data volume of video compression is greatly reduced, and the compression efficiency is improved.
Description
technical field [0001] Embodiments of the present invention relate to video compression technology, and in particular to a video deduplication compression method, device, server and storage medium. Background technique [0002] At present, with the rapid development of the video surveillance industry, video compression technology is becoming more and more important. The development of traditional video compression technology has entered a period of stagnation and cannot achieve major breakthroughs. With the rapid development of neural networks, we can use neural networks to achieve more efficient video compression. [0003] Based on this, on the basis that traditional video compression can already provide relatively excellent video compression efficiency, how to integrate neural networks into video compression to improve video compression efficiency is particularly important. Contents of the invention [0004] Embodiments of the present invention provide a video deduplica...
Claims
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Application Information
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