Video processing method and device based on edge node and cloud cooperation, and server
An edge node, video processing technology, applied in the field of Internet of Things, can solve the problems of massive video streams unable to meet low latency and high throughput, unable to run large deep neural network models, low throughput and other problems, achieve low latency, reduce communication bandwidth, The effect of improving throughput
Pending Publication Date: 2021-03-30
KONKA GROUP +2
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Problems solved by technology
[0004] The technical problem to be solved by the present invention is to provide a video processing method based on edge nodes and cloud collaboration in view of the above-mentioned defects of the prior art. Delay and high throughput requirements, simply relying on edge computing with low computing power, unable to run large-scale deep neural network models, serial processing flow, resulting in low throughput
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[0040] The present invention discloses a video processing method, device, and server based on edge nodes and cloud collaboration. In order to make the purpose, technical solution, and effect of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0041] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operation...
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The invention discloses a video processing method and device based on edge node and cloud cooperation, and a server. The method comprises the following steps: obtaining video image pixel data after edge node video image compression coding processing; performing video image decoding on the video image pixel data to obtain image decoding data; and performing visual feature analysis training based ona convolutional neural network model on the image decoding data to obtain video image visual feature analysis data. According to the embodiment of the invention, the edge node and the cloud server are cooperated to process the video data, so that the tasks with relatively low computing power demands run at the edge node, the tasks with high computing power demands run at the cloud server, the high computing performance of the cloud server and the low computing delay and privacy of the edge node are combined, and meanwhile, the throughput rate of calculation tasks is improved by using a pipeline mechanism, so that the operation efficiency is improved.
Description
technical field [0001] The present invention relates to the technical field of the Internet of Things, in particular to a video processing method, device, and server based on edge nodes and cloud collaboration. Background technique [0002] In recent years, with the continuous development of cloud computing, Internet of Things and artificial intelligence technologies, more and more infrastructures are moving towards intelligent transformation, and widely used camera sensors generate a large amount of picture and video data. However, cloud data centers have limited bandwidth, and there is a certain delay between sensors and cloud data centers. Simply relying on cloud computing servers to process massive video streams cannot meet the requirements of low latency and high throughput, and there are unavoidable network delays and bandwidth limitations. Since the final consumer and the cloud platform use the Internet connection, the network delay is much greater than that of locall...
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Login to View More IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08H04N19/42H04N19/70
CPCG06N3/08H04N19/42H04N19/439H04N19/70G06V20/46G06N3/045G06F18/214
Inventor 李治军韩朴宇刘劼杨波梁兴伟杨建祥
Owner KONKA GROUP