Method for evaluating quality of streaming video without reference

Abstract

The invention discloses a method for evaluating quality of streaming video without reference. The method is realized in a simulation environment of simulating network loss on MPEG-TS stream; network damage is simulated through man-made loss, simultaneously loss data is recorded, attribute of the data is analyzed, an image of the loss is stored, and impact to visual effect after the data loss is observed by eye, thereby establishing a one-to-one correspondence. In practical application, a QOE evaluation value which is in accord with subjective feeling of a user can be acquired through samplingand analyzing a transmission media and analyzing the network damage. In the method, video flowing is directly analyzed without source file information, analysis process is simple and complex algorithm is not needed, quality of user experience is reflected in real time and an accurate evaluation value is given, and an objective evaluation method and a subjective evaluation method are combined to ensure the evaluation value is closer to the real feeling of the user.

Description

A No-Reference Method for Streaming Video Quality Assessment technical field The invention relates to the technical field of user service experience (QoE), in particular to a reference-free streaming video quality evaluation method. Background technique The era of 3G (third generation) is coming, which means that the speed of transmitting voice and data is greatly improved. an information service. Therefore, the application range of video on the network is getting wider and wider, such as movie on demand, distance learning, video conferencing and so on. Another difference from 2G (second generation) is that the key to the success of 3G services is the quality of experience (QoE) of users. The fierce market competition has made operators aware of the need to improve end user satisfaction and retain Finding and expanding users is the key to survival and profitability. Therefore, the concept of QoE and related research came into being. At present, there are two main eval...

AI Technical Summary

Problems solved by technology

On the one hand, it is difficult to obtain the source video in streaming video applications. On the other hand, the time complexity of pixel-to-pixel comparison is very large. These factors greatly limit the usable range of this method. In terms of quality assessment, the operability is not strong

The second method is a partial reference method, which extracts some characteristic information of the original compressed and reconstructed video for evaluation. This method also needs about 14% of the data volume of the source file. Its disadvantage is that it is relatively more complex and more complex than No reference method costs more network overhead

As for the objective evaluation method as a whole, it cannot fully reflect the quality of user experience

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