Method for detecting network video quality by network injury tolerance

Abstract

The invention relates to a method of detecting the quality of a network video through network damage degree, wherein the method reflects the influence degree of network damage effecting the quality of the video according to specific frame sequence type, frame rate, packing condition, frame packet loss rate, namely a rate of a single-frame losing a qualified pockets which obtained according to the network video and corresponding impairment grade of the frame pocket loss rate, and obtains the quality of network video according to an original video quality Q0 and the relation of the influence degree of damaging network and the network video quality (Q); the original video quality and the network video quality are both adopt the same quantification evaluation criteria measurement. Compared with the prior art, the invention has the advantages of considering the different type of frame packet loss has different effect to the video quality and the condition of different impairment grade of the video quality which effects by the different number pocket of a frame losing, thereby the invention has the advantages of low cost of resource develop, good real-time performance, higher estimation accuracy and which can be especially applied for internet service providers or operation businesses to estimate the quality of real-time transmission video.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for detecting network video quality through network damage. Background technique [0002] In order to make streaming media services such as IPTV (Internet Television) run well, it is necessary to ensure that network video quality meets Quality of Service (QoS) requirements and provide users with high-quality video experience. Therefore, an effective network video quality assessment method must be provided to analyze which encoding / decoding algorithm / format the digital video uses before system operation, and to monitor the network video quality when the system is running. Traditional video quality assessment methods are based on video encoding / decoding algorithms, which are used to evaluate the quality of the video produced by the algorithm, without considering the performance of the network used to transmit the video. However, streaming media services such as IPTV ...

AI Technical Summary

Problems solved by technology

MDI is only trying to reflect the network video quality based on the two network performance records of packet loss and jitter, without considering the video content of the network video stream, but for digital video compression algorithms, the loss of packets belonging to different frame types has great impact on the network The effect of video quality is different, so it has a large deviation in the evaluation of network video quality

And MDI does not provide a quantitative score to evaluate the quality of online video

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