A video quality assessment method for video conferencing

Abstract

The invention discloses a method for estimating the video quality of a videoconference, considering that the layout, the background, the light and the like of all meeting places for the videoconference have related regulations, and the meeting place environments are relatively fixed. The invention provides a method for estimating the video quality of the videoconference based on a no-reference image quality estimation method. According to the method, a normal video image of a videoconference terminal is analyzed, and a video quality estimation standard (standard grade) for the terminal is generated, so that a user does not need to set a video quality estimation warning threshold value according to the standard grade and a corresponding meeting place background image; therefore, the usability and the detection precision of the no-reference image quality estimation method are improved, and the method can be effectively applied to a scene with the videoconference.

Description

technical field [0001] The invention relates to a video quality evaluation method of a video conference. Background technique [0002] As a convenient and fast way of meeting, the video conference system has been valued by the government and enterprises, and major national conferences put forward high requirements for the video conference system. In the video conferencing system, every link in the video processing process will have an inevitable negative impact on the video image quality, such as the compression of the video content by the encoder, the decompression of the video content by the decoder, and network packet loss. In order to ensure the user experience of video services, more and more researches begin to focus on how to evaluate video quality. [0003] Currently, image quality assessment can be divided into subjective image quality assessment and objective image quality assessment. Among them, the subjective image quality assessment method is undoubtedly the m...

AI Technical Summary

Problems solved by technology

In the existing application of no-reference image quality assessment technology (including detection items such as sharpness, brightness, contrast, mosaic, etc.), although it can provide users with the setting function of video quality assessment alarm threshold, in order to assist in judging whether the image quality is The alarm conditions are met, but there are situations where the user operation is inconvenient and the setting is relatively random, resulting in the alarm generated after the evaluation often deviates greatly from the user's subjective evaluation in actual application

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