Image real-time cutting device and method

Abstract

The invention discloses an image real-time cutting device and an image real-time cutting method. The image real-time cutting device comprises a network server and a distributed real-time processing module, wherein the network server is suitable for receiving a request of taking a thumbnail of an image from a requester and transmitting the required thumbnail to the requester according to the request; the distributed real-time processing module is suitable for processing the image and generating the required thumbnail according to the request of taking the thumbnail of the image, which is transmitted by the network server, and returning the required thumbnail to the network server, wherein the request comprises information of the image and information of the required thumbnail. The image real-time cutting device and the image real-time cutting method are unsuitable for an image storage server cluster; an image processing server cluster directly sends the image to the network server after processing the image without storing the image, and caching is carried out at the network server, so that consumption of a machine is reduced; the thumbnail can be generated as required, and thus, the problems of pre-generation, incapability of randomly changing the size of the thumbnail and waste of a storage space and service CPU (Central Processing Unit) resources are solved; the image real-time cutting device and the image real-time cutting method have a shorter integral processing flow and are simpler logically.

Description

technical field [0001] The invention relates to computer picture processing technology, in particular to a real-time picture cutting device and method. Background technique [0002] With the rapid development of computer network technology, more and more pictures need to be previewed online on the network. In the prior art, after a user uploads a picture, no matter whether the thumbnail of the picture will be browsed or not, a thumbnail of the picture with a required size will be pre-generated on the server. In this case, there are many problems: First, because the user may not see or only see partial size thumbnails, but in any case, the server will generate thumbnails of the required size according to the needs of the application storage, thus wasting a lot of storage space. Second, since image thumbnail clipping is a CPU-intensive application, in some application scenarios, users will not view all the generated thumbnails, resulting in a serious waste of CPU resources o...

AI Technical Summary

Problems solved by technology

In this case, there are many problems: First, because the user may not see or only see partial size thumbnails, but in any case, the server will generate thumbnails of the required size according to the needs of the application storage, thus wasting a lot of storage space

Second, since image thumbnail clipping is a CPU-intensive application, in some application scenarios, users will not view all the generated thumbnails, resulting in a serious waste of CPU resources on the network server. It affects the user's normal experience, causing the thumbnails to not be generated in time

Third, since image resources are pre-generated, when a thumbnail with a new size needs to be added, the newly added thumbnail cannot be generated in a short time, and the real-time performance is poor, which seriously affects the user experience

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