Video coding quality assessment method and video coding quality assessment device

Abstract

The embodiment of the present invention provides a video coding quality assessment method and a video coding quality assessment device. The method comprises the steps of obtaining the quantification parameters of the strips of a video frame of a video steam and the number of the pixel bytes of the strips of the video frame of the video steam; determining the quantification parameter of a video according to the quantification parameters of the strips of the video frame of the video steam, and determining the content complexity of the video according to the number of the pixel bytes of the strips of the video frame of the video steam; predicting the coding quality of the video according to the content complexity and the quantification parameter of the video. According to the present invention, the content complexity of the video is also considered while the coding quality of the video is predicted, so that the coding quality predicted by a model considering the content complexity of the video accords with the subjective feeling of the human eyes better, and accordingly, the prediction accuracy is improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication technologies, and more specifically, to a method and device for evaluating video coding quality. Background technique [0002] With the development of network technology, video services such as video on demand, Internet TV, and videophone have become the main services of bandwidth networks, and will also become 3G (the3G rd Generation, the third generation) the main business of the wireless network. [0003] Due to the large number of video services, high real-time performance, and users' strong sensitivity to video services, operators need to monitor the quality of transmitted video services and take corresponding measures to adjust them in time to meet user experience requirements for video services. Video quality is affected by many factors, such as compression distortion, adaptation of video codec parameters and transmission channel, and transmission channel service quality...

AI Technical Summary

Problems solved by technology

[0004] In the existing no-reference objective video quality assessment methods, the model for predicting coding quality (coding quality is also called benchmark quality or compression quality) only considers coding information (such as bit rate and coding format Codec, video pause and network packet loss)

The model for predicting coding quality in the no reference objective video quality assessment method (no reference objective video quality assessment method) is not comprehensive, and cannot accurately reflect the subjective feelings of the human eye, and has certain limitations. Therefore, the accuracy of coding quality prediction Low sex

Images