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Video mosaic recognition automatic learning system and method based on artificial intelligence

An artificial intelligence and automatic learning technology, applied in image data processing, instruments, calculations, etc., can solve problems such as inability to simulate mosaic content, inability to construct material data, etc., to achieve the effect of improving accuracy and reducing workload

Active Publication Date: 2019-03-19
上海艾策通讯科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, it is impossible to collect or produce materials manually. First, it is impossible to simulate the real mosaic content, and second, it is impossible to construct a large amount of material.

Method used

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  • Video mosaic recognition automatic learning system and method based on artificial intelligence
  • Video mosaic recognition automatic learning system and method based on artificial intelligence

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with accompanying drawing.

[0051] see figure 1 , the system of automatic learning of video mosaic recognition based on artificial intelligence of the present invention includes: network video platform 1, management platform 2, network damage instrument 3, video client 4, video image acquisition system 5, material storehouse 6 and artificial intelligence system 7.

[0052] The network video platform 1 provides on-demand or live network digital video services, including RTP / RTSP real-time streaming media or HLS progressive download streaming media. The network damage tester 3 is connected to the network video platform 1 and the video client 4 . Network Impairment Meter 3 generates variable packet loss rate and packet loss model for making video mosaics. The video client 4 requests corresponding video programs and uses them for playing. The video image collection system 5 is connected to the video c...

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Abstract

The invention discloses a video mosaic recognition automatic learning system based on artificial intelligence. The video mosaic recognition automatic learning system comprises a network video platformfor providing a video-on-demand or live-broadcast digital video; a management platform; requesting a video client of a corresponding video program through the control of the management platform; thenetwork damage instrument is connected with the network video platform and the video client and generates a variable packet loss rate and a variable packet loss model for manufacturing video mosaics;the video image acquisition system is connected with the video client and is used for acquiring video images of the video client according to a certain frequency; the material library is connected with the video image acquisition system and is used for storing mosaic picture materials; and the artificial intelligence system is connected with the video image acquisition system and the material library and is used for screening mosaic video pictures. The invention further discloses a video mosaic recognition automatic learning method based on artificial intelligence. Therefore, real and massivemosaic video images can be simulated for artificial intelligence training learning.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a system and method for automatic learning of video mosaic recognition based on artificial intelligence. Background technique [0002] After the digitization of TV signals, bit errors or data loss may occur in all links from video program shooting, encoding, storage, transmission, reception to playback, resulting in video image defects, common defects include black field, still frame and Mosaic, etc., for this reason, it is necessary to monitor the image quality of the video service in real time to ensure the playback quality of the video program. [0003] The traditional video image quality monitoring method mainly relies on manual work, which is not only time-consuming and labor-intensive, but also not necessarily able to monitor every link in place. With the development of computer technology, digital video image processing technology has been used more and mo...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/136
CPCG06T7/0002G06T7/136G06T2207/20081G06T2207/10016
Inventor 王勇
Owner 上海艾策通讯科技股份有限公司