Video redirection method based on cloud computing

Abstract

The invention discloses a video redirection method based on cloud computing. The video redirection method comprises the steps of analyzing and separating videos on a virtual machine, acquiring the IP address of a client, spreading the videos in a network, and decoding and displaying the videos at the client. According to the invention, a data channel transmits video heads, as well as video data and audio data of all frames, and coordinates and playback rate of a video display region are transmitted to the client through a main-control channel of the cloud desktop protocol; the video heads transmitted from the virtual machine are analyzed to initialize a decoder of the client, video data of all the frames are input into the decoder, and data capable of being directly displayed are output after being decoded; the audio time is utilized as the standard for audio-video synchronization, the positions of the coordinates transmitted to the client from the virtual machine are utilized to display the decoded video images at the client. A video player and remote desktop software work cooperatively to transmit the remotely played video data to the local place, and the video data are decoded to be fused with a desktop transmitted from the virtual machine to be displayed.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, and relates to a video redirection method based on cloud computing, in particular to a video redirection method from a virtual machine to a client decoding and displaying method. [0002] Background technique [0003] Cloud computing is an important innovation in the current computing model. Through the effective integration of various interconnected computing resources and the realization of multi-level virtualization and abstraction, cloud computing effectively provides large-scale computing resources to users in the form of reliable services, thereby transforming users from complex underlying hardware logic and software stacks. Freed from network protocols. More importantly, the service integration and on-demand supply brought by cloud computing will greatly improve the utilization rate of current computing resources, reduce costs and reduce energy consumption. [0004] The ...

AI Technical Summary

Problems solved by technology

[0004] The graphics cards integrated in today's servers are generally weak and do not support video hardware decoding, and video playback in remote virtual machines requires software decoding; future servers may be equipped with advanced graphics processing units (GPUs), but advanced GPUs do not support multi-channel Video hardware decoding support is very limited (currently up to two channels); and the decoded image code stream is greatly enlarged, and transmission to the local display requires greater network bandwidth overhead

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