Method and system for estimating quality of HEVC video stream using inter-frame relationship

Abstract

The invention discloses a method and a system for estimating the quality of HEVC video stream by utilizing the relationship between frames. The method comprises the following steps: the HEVC video stream is cut into a plurality of image groups; intra-frame prediction is used to estimate the video quality of I frames in an image group. B / P frames in the image group are estimated by inter-frame prediction method. The video quality of image group is obtained by combining the prediction quality of I frame and B / P frame in image group, and the video quality of video stream is obtained by combiningthe video quality of image group in turn. The invention characterizes the content change of the HEVC compressed stream by four parameters, by using the stochastic GBRT model to realize the mapping from the above parameters to the parameters of the time series model, so as to achieve the purpose of adaptive estimation of video quality of HEVC compressed stream, The time series model ARIMA (2, 1, 3)models the quality change of HEVC compressed stream frame sequence. The parameters of the time series prediction model can be adjusted dynamically with the video content change, which realizes the adaptive estimation of video quality and improves the precision and speed of video quality estimation.

Description

technical field [0001] The present invention belongs to the field of video quality assessment, and more specifically relates to a method and system for estimating the quality of an HEVC (High Efficient Video Coding, High Efficiency Video Coding) video stream using inter-frame relationships. Background technique [0002] Network video streaming applications such as webcast, short video, and videophone have become the main way for people to communicate nowadays. In order to obtain a better user video experience, on the one hand, high video quality must be ensured, which requires higher bit rate transmission; on the other hand, high bit rate requires high-bandwidth transmission, large-capacity storage, and a large number of intensive codecs computing, which imposes extremely stringent requirements on network video streaming system resources. Once unsatisfactory, the user experience will be drastically reduced in turn. Therefore, in order to obtain a good user experience, a co...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the defects of the prior art, the purpose of the present invention is to solve the analysis based on single frame in the prior art, which splits the inherent inter-frame dependence of the video, and the video stream quality prediction cannot match the changing trend of the video sequence, thus resulting in The technical problem that the accuracy of video quality assessment drops sharply after changing the video content

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