Distributed image display method

Abstract

The invention provides a distribution image display method which includes the steps that (1) an image server divides the whole image into a plurality of image sub-blocks equally according to the size of the user-defined image sub-block; and then each image sub-block is encoded; (2) the client sends a request; the image server sends the encoded data of all the image sub-blocks contained in the request region to the corresponding client according to the request region of the client; when the encoded data is sent, the image server sends the redundancy data to the client; (3) the client receives data from the server, including the encoded data and the redundancy data and displays the image data of the former frame. The distribution image display method can reduce the CPU load and the network load of the image server and guarantee the synchronism of the distribution image display.

Description

technical field [0001] The invention relates to a distributed image display technology, in particular to a distributed image display method. Background technique [0002] In the prior art, there are the following two solutions for distributed image display: [0003] The first method is to encode and send the entire image. The image server encodes the entire image once to obtain the encoded data of the entire image, and then sends the same data to all clients, and the clients crop and display it separately. The disadvantage of this solution is that: because the entire image data is transmitted, the network bandwidth requirement is relatively high; when there are many clients, the image server has to send all data to each client, resulting in a large network load; At the same time, due to the large amount of data transmission in distributed display, when the image server transmits massive data to the client in turn, the time when the first client receives data is far from the...

AI Technical Summary

Problems solved by technology

The disadvantage of this solution is that: because the entire image data is transmitted, the network bandwidth requirement is relatively high; when there are many clients, the image server has to send all data to each client, resulting in a large network load; At the same time, due to the large amount of data transmission in distributed display, when the image server transmits massive data to the client in turn, the time when the first client receives data is far from the time when the last client receives data. As the number of clients increases, this problem will become more and more serious, resulting in low synchronization of the technical solution

The disadvantage of this solution is: because the area requested by each client is generally inconsistent, and the compressed data cannot be disassembled and reused, therefore, for different client connections, the same data may have to be processed With multiple compressions, the CPU load of the image server is high; at the same time, because the request time of each client is inconsistent with the request area, every time the image server responds to a request, it must compress the request area once, which will also cause data reception between clients Out of synchronization, thus resulting in poor overall synchronization of the technical solution

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