Lightweight picture conversion method

Abstract

The invention discloses a lightweight picture conversion method, and relates to the field of Internets. The method comprises the following steps that: a reverse proxy server forwards an acquired picture request to a rear-end Internet server, and loads a picture transcoding module; the picture transcoding module receives the picture request, and submits a picture to a rear-end picture server; and the rear-end picture server transmits original information of the picture to the picture transcoding module for transcoding, and transmits the transcoded picture back to the reverse proxy server to finally transmit the transcoded picture back to a client to complete the picture request. According to the lightweight picture a conversion method, no special third-party picture transcoding server is set, but the customized picture transcoding module is loaded in a front-end reverse proxy server to transcode the picture, so that the operation cost of an Internet operator is effectively reduced; theflexibility of picture transcoding is improved; and a user can randomly change transcoding parameters at any time to achieve a system changing aim.

Description

technical field [0001] The invention relates to the field of computer picture conversion, in particular to a light-weight picture conversion method. Background technique [0002] When a user uses a mobile device to access a picture located on an Internet server through a client, if the Internet server directly forwards the original picture to the mobile device client without any processing after receiving the user request, the following problems usually occur: [0003] (1) Since mobile devices usually have low screen pixels, pictures with large pixels cannot be fully displayed on the mobile device screen. Users often need to move the display position of the picture on the screen to see the whole picture, resulting in poor user experience. [0004] (2) Due to the poor computing power of mobile devices compared with desktop computers, the display speed of pictures with large file sizes is also significantly slower than that of desktop computers, which directly affects the user...

AI Technical Summary

Problems solved by technology

[0003] (1) Since mobile devices usually have low screen pixels, pictures with large pixels cannot be fully displayed on the screen of mobile devices. Users often need to move the display position of the picture on the screen to see the whole picture, resulting in poor user experience

[0004] (2) Due to the poor computing power of mobile devices compared with desktop computers, the display speed of pictures with large file sizes is also significantly slower than that of desktop computers, which directly affects the user experience of mobile device users

[0005] (3) Downloading pictures with larger file sizes will correspondingly consume more data traffic of mobile users, increasing the user's cost burden

However, the above technology still has the following disadvantages: a special third-party server is required to provide the function of image transcoding, which increases the operating cost of the Internet content provider

The parameters of image transcoding cannot be set through the configuration method. When the user’s transcoding requirements change, it is often necessary to modify the code of the third-party image transcoding server, and the system configurability is weak

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