Static point cloud server code rate adaptive transmission method and system

Abstract

The invention discloses a static point cloud server code rate adaptive transmission method and system. The method comprises the steps that a server divides static point cloud into 3D space slices; the user side feeds back user watching information and the resolution of a display screen to the server side in real time, and downloads a code rate version complete set which can be distributed to each 3D space slice from the server side; the server side calculates the QoE contribution of each space slice according to the user watching information and the resolution of the display screen; and a code rate self-adaptive allocation optimization problem is established based on the space slices by adopting a universal set consisting of the space slices, a code rate version universal set of the space slices, network resource limitation and QoE contribution of each space slice, so as to obtain an optimal space slice code rate version subset. The system comprises a user side and a server side which are used for correspondingly realizing the functions. According to the invention, the bandwidth utilization rate of static point cloud transmission is improved, and better quality experience is provided for users.

Description

technical field [0001] The present invention relates to the technical field of video communication, in particular to a code rate adaptive transmission method and system for a static point cloud server. Background technique [0002] With the rapid development of 3D sensing and acquisition systems, the rise and popularization of a series of emerging technologies such as virtual reality (VR) and augmented reality (AR), it can give users the ultimate immersive experience because it supports 6 degrees of freedom. Point cloud, as a new type of media data, is gradually becoming a hotspot of scientific research. When users watch the point cloud scene, they can not only change the viewing direction arbitrarily, but also freely change the spatial position. Therefore, point cloud transmission is of great significance for enhancing the user's immersive experience. However, point clouds often have a huge amount of data, which consumes a lot of bandwidth resources and poses a huge challe...

AI Technical Summary

Problems solved by technology

However, the article did not consider the occlusion between slices when defining the utility of slices, and did not evaluate the quality of user vision

[0006] In addition, the code rate adaptive algorithms of the above work are all heuristic algorithms, which lack theoretical guarantees for algorithm performance.

Images