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Network camera video quality improving method

A network camera and video quality technology, applied in the field of network camera video quality improvement, can solve the problem of low video quality, achieve the effect of ensuring video output quality, ensuring real-time performance, and improving accuracy

Active Publication Date: 2019-09-24
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of low video quality collected by the network camera in the prior art application, and propose an algorithm system platform for improving the quality of the collected video, the purpose is to improve the video quality and improve the use effect

Method used

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Embodiment Construction

[0038] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of approaches consistent with aspects of the present application as recited in the appended claims.

[0039] like figure 1 As shown, the present invention provides a method for improving the video quality of a network camera, comprising the following steps:

[0040] (1) Acquisition of preliminary video;

[0041] (2) Evaluate the content of the preliminary video, collect video data, calibrate and build a data set, use convolutional neural network and fully connected network for training, and use sal...

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Abstract

The invention provides a network camera video quality improving method. The method mainly comprises the following steps of (1) obtaining a preliminary video; (2) evaluating the content of the preliminary video, collecting the video data, calibrating and constructing a data set, training by using a convolutional neural network and a full connection network, carrying out feature fusion by using a saliency algorithm to obtain a video quality evaluation model conforming to the sense organ of a person, and judging the video quality obtained by a camera in real time; (3) directly outputting the video with the video quality meeting the requirements, performing the multi-frame video optimization processing based on super pixels on the video which does not meet the requirements, and performing frame reduction optimization; and (4) outputting the video processed in the step (3) through a network. The method has the advantages that the high-accuracy evaluation meeting the human evaluation standards can be carried out on the video quality, more important targets are concerned, the real-time frame reduction optimization is achieved in a super-resolution and multi-frame splicing mode, and the video quality originally outputted by the camera is improved.

Description

technical field [0001] The invention relates to the technical field of security monitoring, and mainly relates to a method for improving the video quality of a network camera. Background technique [0002] The network camera (IPC) is composed of a network coding module and an analog camera. It is a new generation of camera produced by the combination of traditional cameras and network technology. The camera encodes and compresses the analog video signal collected by the camera into a digital signal and transmits it through the network bus. To the web server, users can directly watch the camera video in real time with a browser. Authorized users can also control the camera pan / tilt to rotate the lens or operate the system configuration, making remote monitoring implementation, construction and maintenance easier. In recent years, with the continuous development of politics, economy, and society, the unstable factors affecting national security, public security, and environmen...

Claims

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Application Information

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IPC IPC(8): H04N7/18G06N3/04G06N3/08
CPCH04N7/18G06N3/08G06N3/045
Inventor 王宣银季佳宇普彬莫奇
Owner ZHEJIANG UNIV
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