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Image data compression transmission method and system and computer readable storage medium

An image data and transmission method technology, applied in the field of image processing, can solve the problems of image distortion, large occupied bandwidth, low image data restoration degree, etc., and achieve the effect of avoiding serious image distortion and reducing bandwidth occupancy.

Active Publication Date: 2019-12-10
SHENZHEN UNIV
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Problems solved by technology

[0006] The present invention provides an image compression transmission method, system, and computer-readable storage medium, aiming to solve the problem that in the prior art, the image is easily distorted due to excessive compression before image transmission, and the restoration degree of the image data by the cloud server is low; and If the amount of image compression is too low, the problem of occupying too much bandwidth

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  • Image data compression transmission method and system and computer readable storage medium
  • Image data compression transmission method and system and computer readable storage medium
  • Image data compression transmission method and system and computer readable storage medium

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Embodiment Construction

[0076] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0077] The image data collected by surveillance cameras is growing exponentially and takes up a huge amount of bandwidth. However, if the image data is compressed before data transmission, it is easy to be over-compressed, resulting in serious image distortion, which in turn leads to a low degree of restoration of image data by the cloud server. , affecting the analysis effect of cloud server deep learning.

[0078] Therefore, the technical problem to be solved by the technical solution of the present invention is how to quickly and effectively transmit a large number of images to be analyzed to the cloud server through the network in the image analysis application of the cloud server based on deep learning technology.

[0079] In order to solve this problem, the basic idea of ​​the embodiment of the present invention...

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Abstract

The invention discloses an image data compression transmission method and system and a computer readable storage medium, and the method comprises the steps: simulating a deep learning model of a cloudserver, and designing a local adaptive evaluation network; identifying the image data by using an adaptive evaluation network, selecting an encoder control strategy corresponding to the image data, and estimating the confidence of the cloud server to the image data; according to the lowest allowable code rate corresponding to the confidence coefficient, controlling an image encoder to compress the image data to obtain compressed image data, wherein the higher the confidence coefficient is, the lower the lowest allowable code rate is; and uploading the compressed image data to a cloud server according to the lowest allowable code rate. According to the technical scheme of the invention, the method can solve a problem that the restoration degree of a cloud server for an image is lower because the image is liable to be excessively compressed and distorted in the prior art, and reduces the occupation of bandwidth on the premise that the cloud server has higher model recognition degree forthe compressed image data.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a compression transmission method and system for image data, and a computer-readable storage medium. Background technique [0002] With the in-depth development of surveillance projects such as smart cities, safe cities, and Skynet systems, surveillance cameras have already spread all over the streets and alleys. These surveillance cameras are collecting image data all the time, and the image data is growing exponentially. We are already in the era of massive images. [0003] see figure 1 ,exist figure 1 In the application scenario shown, the image data collected by the surveillance camera 1 usually needs to be transmitted to the cloud server 3 through a wireless or wired network 2, so that the cloud server 3 can analyze and process it. For example, the cloud server 3 uses deep learning technology to perform image data processing Feature capture, image classif...

Claims

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Application Information

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IPC IPC(8): H04N19/149H04N19/157H04N19/85
CPCH04N19/149H04N19/157H04N19/85
Inventor 何志权曹文明刘启凡
Owner SHENZHEN UNIV
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