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Video stream queue processing method based on domestic CPU and operating system

An operating system and video streaming technology, applied in image communication, selective content distribution, electrical components, etc., can solve problems such as difficult to effectively use servers, and domestic CPU performance of resources cannot be satisfied, so as to reduce processing time, improve user experience, The effect of improving timeliness

Active Publication Date: 2022-04-12
INSPUR QILU SOFTWARE IND
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Problems solved by technology

[0004] In order to solve the above technical problems, the present invention provides a video stream queue processing method based on domestic CPU and operating system, which solves the problem of using traditional queue processing methods in the process of artificial intelligence processing and analysis of video stream queues in the domestic CPU and operating system environment. , to process each frame of data in order, it is difficult to effectively use the resources in the server cluster and the current domestic CPU performance cannot meet the requirements of artificial intelligence processing and analysis of video stream data

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  • Video stream queue processing method based on domestic CPU and operating system

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Embodiment Construction

[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the protection of the present invention. scope.

[0041] The present invention is mainly in order to solve following two problems:

[0042] 1) Traditional video stream processing methods place the same video stream data in sequence on the same server for processing, making it difficult to effectively utilize computing resources in the cluster;

[0043] 2) The performance of domestic servers based on d...

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Abstract

The invention provides a video stream queue processing method based on a domestic CPU and an operating system, and belongs to the technical field of artificial intelligence. Multi-channel video stream data queues are stored based on a two-dimensional matrix structure, a sequential processing mode based on a traditional queue is improved, each piece of video stream data is divided into larger video stream queue segments, and the processing efficiency is improved. And carrying out distributed processing by an artificial intelligence server in the inference server cluster. The method comprises the following steps: segmenting each video stream data queue, processing each segmented video stream data by utilizing a multi-path reasoning server in a cluster, and starting the subsequent processing of the video stream data queue after each video stream data segment is processed. Computing resources in an inference server cluster can be effectively utilized, and the video stream processing efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a video stream queue processing method based on a domestic CPU and an operating system. Background technique [0002] At present, artificial intelligence technology is developing rapidly, and great progress has been made in object detection, classification technology, speech recognition, OCR recognition, etc., and it has been applied in various industries. Transportation and other industries have accelerated their application, and integration has promoted the rapid development of all walks of life. [0003] However, in the video stream processing process, the video stream is generally processed and analyzed frame by frame according to the sequence of video data. In addition, in the field of artificial intelligence, it is necessary to use continuous multi-frame data for comprehensive processing and analysis in order to achieve better analysis results, such as in t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/218H04N21/234
CPCY02D10/00
Inventor 孙桂刚李超孙元田朱宪
Owner INSPUR QILU SOFTWARE IND
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