Remote desktop sharing method based on screen content video coding

Abstract

The invention provides a remote desktop sharing method based on screen content video coding, and belongs to the technical field of video signal processing and remote sharing. At a main control end, the method comprises the following steps: firstly collecting image data and storing the same in an image collection buffer area; then converting the collected set frames of image data into screen content video streams; and generating bit data streams via a screen content video coder, and transmitting the bit data streams to a controlled end via channel transmission. At the controlled end, the methodcomprises the following steps: a screen content video decoder decodes and coverts the received bit streams, and the controlled end displays an image of the main control end in real time. According tothe remote desktop sharing method, by adoption of the specific adaptive color conversion, intra-frame block copy, color palette mode and other excellent tools of the screen content video coding technology, a nearly lossless compression effect of screen contents, especially 4K or even 8K screen resolutions is achieved, and a support is provided for the application research of subsequent video coding technology.

Description

technical field [0001] The invention belongs to the technical field of video signal processing and remote sharing, and relates to a remote desktop sharing method based on screen content video encoding. Background technique [0002] Remote desktop control technology is widely used in remote office, remote technical support, remote communication, and remote maintenance management. In remote desktop control technology, one of the highest requirements for real-time and interactivity is remote desktop sharing technology. [0003] Although broadband network and data transmission capacity have increased rapidly in recent years, it still cannot meet the lossless transmission of massive high-definition real-time desktop images, so images must be compressed and encoded before transmission. However, the traditional technology only adopts a simple image encoding method on the server side for compression, and then transmits it to the receiving end for decoding to obtain an output image. ...

AI Technical Summary

Problems solved by technology

[0003] Although broadband network and data transmission capacity have increased rapidly in recent years, it still cannot meet the lossless transmission of massive high-definition real-time desktop images, so images must be compressed and encoded before transmission

However, the traditional technology only adopts a simple image encoding method on the server side for compression, and then transmits it to the receiving end for decoding to obtain an output image. The compression rate of this method is limited, especially for high-definition images with 4K or even 8K screen resolution. This shortcoming is particularly prominent, often leading to network congestion and increased data transmission delay

Images