Modeling method for user quality of experience qoe in adaptive point cloud video streaming

Abstract

The invention discloses a modeling method for user quality of experience (QoE) in adaptive point cloud video streaming media. Cutting blocks, and finally compressing each block into different quality levels; 2. Perform quality selection according to user perspective prediction and network bandwidth, and calculate the quality level of block selection in user perspective; 3. Re-integrate slices and frame groups , obtain the processed point cloud video and the pause time and quality switching of the processed point cloud video during streaming media transmission; 4. Evaluate the objective quality of the processed point cloud video; 5. Process the processed point cloud video Quality of experience scoring, QoE modeling based on scoring, objective quality, pause time, and quality switching. The invention can more comprehensively model the point cloud video QoE, and accurately predict the user's subjective quality of experience in the point cloud video streaming media under the condition that the network bandwidth changes.

Description

technical field [0001] The invention relates to the field of multimedia video transmission, in particular to a modeling method for user experience quality QoE in adaptive point cloud video streaming media. Background technique [0002] Chen Yiping of Xiamen University invented a deep learning-based laser scanning SLAM indoor three-dimensional point cloud quality evaluation method (public number: CN110246112A), including: S1, obtain high-quality point cloud through laser scanning SLAM device; S2, for high-quality point cloud The point cloud is degraded to obtain the simulated point cloud; S3, the trajectory measurement analysis is performed on the simulated point cloud; S4, the plane is extracted from the high-quality point cloud and the simulated point cloud, and the local consistent noise analysis and geometric rule analysis are performed on the plane to quantify the points. Cloud quality; S5. Segment the high-quality point cloud and the simulated point cloud to obtain poin...

AI Technical Summary

Problems solved by technology

[0007] The present invention is to avoid the disadvantages of the above-mentioned prior art, and to provide a simple and feasible modeling method for user quality of experience QoE in adaptive point cloud video streaming media, in order to perform point cloud video QoE more comprehensively Modeling, accurately predicting the quality of experience of users in point cloud video streaming media under the condition of network bandwidth changes, so as to solve the problem that QoE modeling cannot fully and accurately reflect the quality of user experience

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