DE202020105321U1 - Graphics customization system - Google Patents

Abstract

A graphics customization system comprising: a web server (1) configured to query whether an image uploaded by a user has a duplication, uploads the image without duplication, or directly a corresponding image identification, ID, for the image with the duplication; a write server (2) configured to capture and store the image uploaded from the web server (1), and further configured to manage and maintain meta information of stored images, the meta information a tag information reading module (3) configured to receive and analyze a URL (Uniform Resource Locator) of a transmitted image corresponding to a type of a user terminal to obtain an image ID and acquiring an image crop mode corresponding to the image URL; a meta information reading module (4) configured to read meta information of the image and data acquires information of an original image of the image from the writing server (2) according to the image ID acquired by the tag information reading module (3); anda cropping module (5) configured to crop the original image captured by the meta information reading module (4) using the cropping style captured by the tag information reading module (3) and to return a cropped image to the user terminal.

Description

TECHNICAL PART

The present disclosure relates to the field of graphics customization systems, and more particularly to a graphics customization system.

BACKGROUND

With the development of the Internet, due to the advantages of the intuition and vividness of the images, a large number of images often appear in business scenes of various large Internet companies such as comment images on an application (APP) terminal, hotel thumbnails, etc. If different mobile phone devices have to be adapted, the same image has to be saved in many copies in order to be adapted to different devices.

For example, a Chinese patent application with publication number discloses CN101699839A A method for adapting the graphics of a mobile terminal, comprising the steps of: a user terminal sends a data packet containing a mobile phone number, a type of mobile terminal and a specific image to a WEB or WAP (Wireless Application Protocol) server; the WEB or WAP server calculates a length-width ratio of a terminal screen of a mobile terminal according to the mobile terminal type, and then retrieves an image corresponding to the length-width ratio of the terminal screen and an image serial number from an image database server; and the WEB or WAP server sends an adjustment image to the mobile terminal with the mobile phone number.

The above-described related art solution, however, suffers from the following shortcomings: There are multiple stored copies of the same image, requiring a high storage cost. In order to adapt to different end devices and in the meantime to reduce the storage capacity as much as possible and to save costs, it is therefore necessary to design a scheme that, in the case of storing only one image, shows a real-time image section on the image the types of terminals and images of different sizes can be sent back to a service party in real time.

SUMMARY

The aim of the present disclosure is to provide a graphics customization system.

An object of the present disclosure is to provide a graphics customization system which leads to a significant saving in storage costs.

The first object of the present disclosure described above is achieved by the following technical schemes.

A graphics customization system is provided. The graphic adaptation system comprises a web server, a writing server, a tag information reading module, a meta information reading module, and a cropping module.

The web server is configured in such a way that it asks whether an image uploaded by a user has a duplication, carries out the upload for the image without duplication and directly returns a corresponding image identification (ID) for the image with the duplication.

The writing server is configured to capture and store the image uploaded from the web server and is further configured to manage and maintain meta information of stored images, and the meta information includes an image ID.

The tag information reading module is configured to receive and analyze a Uniform Resource Locator (URL) of a transmitted image corresponding to a type of user terminal to acquire an image ID and an image cropping mode corresponding to the image URL correspond.

The meta information reading module is configured to acquire meta information of the image and file information of an original image of the image from the writing server according to the image ID acquired by the tag information reading module.

The cropping module is configured to crop the original image captured by the meta information reading module using the cropping style captured by the tag information reading module and to return a cropped image to the user terminal.

By adopting the technical scheme described above, an architectural design for the separation of reading and writing is assumed, in which, in the case of storing only one image, an image section is displayed in real time on the image according to the user terminal types (APP, browser web pages, etc.) can be performed and images of different sizes returned in real time to a service party so that they can be adapted to the user terminal. This saves a lot of storage costs and the Avoid the case of multiple saved copies of the same image due to different sizes.

The present disclosure is further configured as follows. The web server includes a duplication elimination module and a storage module.

The duplication elimination module is configured to process the user uploaded image into an image in which all pixels are black or white, downsize the processed image in a certain ratio to form a contrast image, and is further configured to be that it compares the formed contrast image with contrast images that have the same ratio as the processed image and correspond to all the images on the write server, and determines whether the duplication is present.

The storage module is configured to store the contrast images of all the images in the writing server and is further configured to store the contrast image obtained from the duplication elimination module when the duplication elimination module determines that there is no duplication.

By adopting the technical scheme described above, duplication elimination is performed when the user uploads an image, so that the storage capacity of the system is further secured and the image is prevented from being uploaded repeatedly.

The present disclosure is further configured as follows. The graphics customization system further includes a preprocessing module. The preprocessing module is configured to preprocess the image uploaded from the web server into an image with a specified format and style and upload the image to the write server with the specified format and style.

By adopting the technical scheme described above, an image with pixels of an uploaded original image that are larger than a specified value is subjected to an image cut in real time under a standard condition, the images are uniformly processed into the specified style specification, and the storage sizes of the images are limited by the source, so that the storage capacity of the system is further conserved and the load pressure of the system is reduced.

The present disclosure is further configured as follows. The tag information reading module comprises a parsing unit, a determination unit and a reading unit.

The parsing unit is configured to parse the transmitted image URL corresponding to the user terminal in order to acquire information about the tag of an image section of the image and the image ID.

The determining unit is configured to determine whether the image is to be trimmed according to the information about the tag.

The reading unit is configured to tag the original image of the image and upload the tag of the original image to the meta information reading module when the determining unit determines that the image cropping need not be performed, and further configured to use the image cropping style in the tag information and uploads the cropping style to the meta information reading module when the determining unit determines that the cropping needs to be performed.

The information about the tag includes first feature information that is used to show whether the image detail is being carried out or not, and second feature information that contains the image detail style.

By adopting the above-described technical scheme, after information about the original image and the size and style of the cropped image has been obtained, the original image can be cropped using the cropped style. The image section is flexible and configurable, requirements of different sizes can be met by configuring specification styles, the images do not have to be run through each time, images with different sizes are generated and the system pressure is reduced. In the meantime, various parameters, such as whether the image should be scaled, can be configured in a clipping process to meet the requirements of various sizes and improve the adaptability of the system.

1. 1. Durch die Konfiguration des Web-Servers, des Schreibservers, des Tag-Informations-Lesemoduls, des Metainformations-Lesemoduls und des Bildschnittmoduls lassen sich viele Speicherkosten einsparen.
2. 2. Ob ein Bild gespeichert wird oder nicht und die Größe des gespeicherten Bildes sind von der Quelle her begrenzt, so dass der Lastdruck des Systems durch die Konfiguration des Duplikationseliminierungsmoduls, des Speichermoduls und des Vorverarbeitungsmoduls stark entlastet wird.
3. 3. Stilistische Anforderungen des Benutzers können schnell identifiziert werden, so dass die Bilder mit unterschiedlichen Größen durch die Konfiguration der Parsing-Einheit, der Bestimmungseinheit und der Leseeinheit in Echtzeit an den Benutzer zurückgeführt werden können.

In summary, the advantageous technical effects of the present disclosure are described below.

1. 1. By configuring the web server, the write server, the tag information reading module, the meta information reading module and the image cropping module, you can save a lot of storage costs.
2. 2. Whether an image is saved or not and the size of the saved image are limited by the source, so the load pressure of the system is determined by the configuration of the Duplication elimination module, the memory module and the preprocessing module is greatly relieved.
3. 3. Stylistic requirements of the user can be quickly identified, so that the images with different sizes can be fed back to the user in real time through the configuration of the parsing unit, the determination unit and the reading unit.

Figure list

• 1 Figure 4 is a schematic diagram of the overall structure of a graphics customization system illustrated in an embodiment of the present disclosure;
• 2 Figure 13 is a schematic structural diagram of another graphics customization system shown in an embodiment of the present disclosure;
• 3 Figure 4 is a flow diagram of a graphics customization method shown in example two of the present disclosure;
• 4th FIG. 3 is a flow chart of step S100 illustrated in example two of the present disclosure;
• 5 FIG. 6 is a flow chart of step S600 shown in example two of the present disclosure; and
• 6th FIG. 3 is a flowchart of step S300 shown in example two of the present disclosure.

1.

Webserver;

11.

Duplikationseliminierungsmodul;

12.

Speichermodul;

2.

Schreibserver;

3.

Tag-Informations-Lesemodul;

31.

Parsing-Einheit;

32.

Bestimmungseinheit;

33.

Leseeinheit;

4

Metainformations-Lesemodul;

5

Bildschnittmodul;

6

Vorverarbeitungsmodul;

7

Upload-Teilsystem;

8

Bildschnitt-Teilsystem.

In the figures:

1.

Web server;

11.

Duplication elimination module;

12.

Memory module;

2.

Write server;

3.

Tag information reading module;

31.

Parsing unit;

32.

Determination unit;

33.

Reading unit;

4th

Meta information reading module;

5

Image editing module;

6th

Preprocessing module;

7th

Upload subsystem;

8th

Editing subsystem.

DETAILED DESCRIPTION

The present disclosure is described in greater detail below in conjunction with the accompanying drawings.

Embodiment one

With reference to 1 there is shown a graphics customization system disclosed by the present disclosure. The graphics customization system includes an upload subsystem 7th and an image editing subsystem 8th . The upload subsystem 7th includes a web server 1 , a write server 2 and a preprocessing module 6th . The image editing subsystem 8th includes a tag information reading module 3 , a meta information reading module 4th and a cropping module 5 .

The web server 1 is configured to inquire whether an image uploaded by a user has a duplication, perform the upload for the image without duplication and directly return a corresponding image ID for the image with the duplication in order to use the image with the duplication with the connect information entered by the user.

The write server 2 is configured to receive this from the web server 1 captures and stores uploaded image, and is also configured to manage and maintain meta information of stored images. Concretely, the meta information of the images includes an image ID, image content information, image classification information, etc.

The tag information reading module 3 is configured to receive and parse a transmitted image URL corresponding to a type of user terminal and, according to the parsed data, acquire an image ID and a cropping mode that correspond to the image URL.

The meta information reading module 4th is configured to have meta information of the image and file information of an original image of the image from the writing server 2 according to the tag information reading module 3 captured image ID captured.

The cropping module 5 is configured in such a way that it can do this through the meta information reading module 4th original image captured using the tag information reading module 3 cropping style captured and returning a cropped image to the user terminal.

The preprocessing module 6th is configured to do this from the web server 1 uploaded image is preprocessed into an image with a specified format and style specification and the image with the specified format and the specified style specification on the write server 2 uploads. Especially if that from the web server 1 Uploaded image is not in JPG (Joint Picture Group) format, the preprocessing module converts it 6th convert the image to JPG format; if the pixels of the from the web server 1 If the uploaded image is larger than a specified value, e.g. 1500, the image is processed to a style specification of 1500x 1500.

As in 2 shown includes the web server 1 a duplication elimination module 11 and a memory module 12 . The duplication elimination module 11 is configured to perform pixel processing on the image uploaded by the user so that each of the pixels of the image is only black or white in color, ie a color image is processed into a black and white image. The duplication elimination module 11 can, after processing the color image into a black and white image, reduce the black and white image in proportion to form a contrast image, and in this embodiment the duplication elimination module reduces 11 the processed black and white image in the ratio of a quarter of the original image. In addition, there is the duplication elimination module 11 further configured in such a way that it compares the contrast image obtained with contrast images which have the same proportion as the processed image and all images in the writing server 2 and determines if the duplication is present. The memory module 12 is configured so that there are contrast images of all images in the write server 2 saves, and is further configured to receive data from the duplication elimination module 11 saves obtained contrast images when the duplication elimination module 11 determines that there is no duplication.

With reference to 2 includes the tag information reading module 3 a parsing unit 31 , a determination unit 32 and a reading unit 33 . The parsing unit 31 is configured to parse the transmitted image url corresponding to the user terminal to acquire information about the tag of a picture frame and the picture ID. In particular, the image URL is derived from the system's analysis of a request from a customer, and the image URL is composed of a domain name, a rule for the image section and the image ID. The unit of determination 32 is configured to determine whether to crop according to information about the tag. The reading unit 33 is configured to form a tag of the original picture of the picture and the tag of the original picture in the meta information reading module 4th uploads when the destination unit 32 determines that the cropping does not need to be performed; and it is further configured to read the cropped style in the tag information and the cropped style in the meta information reading module 4th uploads when the destination unit 32 determines that the image must be cropped. It should be noted that the information about the day includes first feature information that is used to represent whether the image is being performed, and second feature information that contains the style of the image.

An implementation principle of the embodiment described above is as follows.

When a user uploads a picture, the web server 1 In order to save memory capacity and avoid repeated uploading of the image, check the image first to limit duplication and directly return the corresponding image ID for the image with the duplication, the image ID corresponding to the user request information, see above that the image with the duplication is not uploaded repeatedly. After the image that has no duplication is uploaded, the uploaded image is used by the preprocessing module 6th Pre-processed, i.e. under a standard condition an image with pixels of the uploaded original image that are larger than the set value is subjected to real-time image cropping, for example an image with pixels of the uploaded original image that are larger than 1500 is subjected to real-time image cropping , The images are uniformly processed in the 1500 × 1500 style specification, and the image formats of the images are adapted to the JPG format, so that the memory size and the format of the images are limited. And finally, forward and backup are carried out, ie the processed image is processed via the preprocessing module 6th to the write server 2 forwarded and written to a file, while the meta information of the images from the write server 2 managed and maintained.

In the case of image editing, the system can, on the basis of the storage of only one original image, request a dynamic image editing every time in accordance with the style specifications of the user and return images with different sizes by comparison with a style rule. Specifically, the tag information reading module analyzes 3 After the user terminal sends a request, first the image URL and acquires a specification of the image section according to a composition rule of the image URL. The meta information reading module then records 4th the meta information of the image and the file information of the original image of the image according to the image ID. Finally, the cropping module cuts 5 the original image using the crop style after the information of the Original image and the image cropping style have been obtained, and during this, various parameters such as whether the image should be scaled can be configured in a cutting process to meet the requirements of different sizes. When the cutting is complete, the system returns the image of the appropriate size to the end of the request.

Example two

With reference to 3 There is shown a graphics customization method based on the graphics customization system in the embodiment disclosed in the present disclosure. The graphic adjustment process includes an image upload process A and an image crop process B.

The image upload method A includes the steps described below.

In S100, Image Checking and Duplication Elimination: Duplication elimination is performed when a user uploads an image, with a corresponding image ID being returned directly for the image with a duplication so that the image with the duplication is not uploaded repeatedly.

In S600, image preprocessing: The image found not to be duplicated in step S100 is preprocessed into an original image, and the process goes to S200.

In S200, forwarding and saving: the image preprocessed in step S600 is sent to the write server 2 forwarded and written to a file, while the meta information of the image is managed and maintained, the meta information of each image including an image ID.

The image editing method B comprises the steps described below.

In S300, Acquisition of Cropping Specification: A transmitted image URL corresponding to a type of user terminal is parsed, and an image ID and cropping style are acquired. Specifically, the image URL includes a domain name, information on the tag and the image ID, and the information on the tag includes first feature information used to represent whether the image is being trimmed and second feature information containing the style of trimming .

In S400, image meta information acquisition: The meta information of the image and the file information of the original image of the image are acquired according to the image ID.

At S500, cropping: the original image is cropped using the cropping style, and a cropped image is returned to the user terminal after acquiring the meta information of the image, the file information of the original image and the cropping style.

With reference to 4th Step S100 comprises the substeps described below.

In S101, the image uploaded by the user is processed by a Message Digest 5 (MD5) information digest algorithm and a hash value is generated.

In S102, the hash value generated in substep S101 is combined with the hash values of all images in the write server 2 compared and it is determined whether the hash value is repeated; if the hash value is repeated, the process continues with substep S103; if the hash value is not repeated, the process continues with substep S104.

In S103, the corresponding picture ID for the picture with a repeated hash value is directly returned, and this picture is not uploaded repeatedly.

The hash value generated in substep S101 is stored in S104, and the process then continues with step S200.

With reference to 5 Step S600 comprises the substeps described below.

The basic information of the image for which no duplication is determined in step S100 is acquired in S601, the basic information including an image format and a style specification of the image.

In S602, it is determined whether the format of the images captured in substep S601 is JPG; if the image is not in JPG format, the process continues with substep S603; if the image is in JPG format, the process continues with substep S604.

In S603, the image is converted to JPG format, and the process proceeds to substep S604.

In S604, the image is cropped to an original image with a set style specification, and the process proceeds to step S200.

With reference to 6th Step S300 comprises the substeps described below.

In S301, the image URL is generated from a terminal application according to the type of the terminal.

In S302, the image URL generated in generation step S301 is parsed, and the image ID and information on the tag of an image section are acquired;

In S303, it is determined whether the information on the day of the image detail acquired in substep S302 is an original image; if so, the process continues with substep S304; if not, the process continues with substep S305.

A tag of the original image of the image is formed in S304, and the process proceeds to step S400.

In S305, the cut style in the information about the day is read, and the process proceeds to step S400.

The embodiments in the present detailed description are all preferred embodiments of the present disclosure, and the scope of the present disclosure is not limited thereby. Therefore, equivalent changes according to the structure, form, and principle of the present disclosure should be covered within the scope of the present disclosure.

QUOTES INCLUDED IN THE DESCRIPTION

This list of the documents listed by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent literature cited

• CN 101699839 A [0003]

Claims (4)

Graphics customization system comprising: a web server (1) which is configured to query whether an image uploaded by a user has a duplication, uploads the image without duplication or directly returns a corresponding image identification, ID, for the image with the duplication ; a writing server (2) which is configured to capture and store the image uploaded from the web server (1), and is further configured to manage and maintain meta information of stored images, the meta information including an image ID ; a tag information reading module (3) configured to receive and analyze a URL (Uniform Resource Locator) of a transmitted image corresponding to a type of a user terminal to acquire an image ID and a crop mode, which match the image url; a meta information reading module (4) configured to read meta information of the image and file information of an original image of the image from the writing server (2) according to the image ID acquired by the tag information reading module (3), detected; and a cropping module (5) configured to crop the original image captured by the meta information reading module (4) using the cropping style captured by the tag information reading module (3) and to return a cropped image to the user terminal. Graphics customization system according to Claim 1 wherein the web server (1) comprises: a duplication elimination module (11) configured to process the image uploaded by the user into an image of which all pixels are black or white, respectively, and the processed image in a ratio scaled down to form a contrast image; and further configured to compare the formed contrast image with contrast images having the same ratio as the processed image corresponding to all the images in the writing server (2) and determine whether the duplication exists; and a storage module (12) configured to store the contrast images of all the images in the writing server (2) and further configured to store the contrast image obtained by the duplication elimination module (11) in a case, in which the duplication elimination module (11) determines that no duplication exists. Graphics customization system according to Claim 1 further comprising a preprocessing module (6) configured to preprocess the image uploaded by the web server (1) into an image with a specified format and style specification, and the image with the specified format and style specification uploads to the write server (2). Graphics customization system according to Claim 1 wherein the tag information reading module (3) comprises: a parsing unit (31) configured to analyze the transmitted image URL corresponding to the user terminal in order to obtain information on the tag of an image section and the Capture Image ID; a determination unit (32) configured to determine whether the trimming needs to be performed according to the information on the tag; and a reading unit (33) configured to tag the original picture of the picture and uploading the tag of the original picture to the meta information reading module (4) when the determining unit (32) determines that the cut will not be performed got to; and further configured to read the cropping style in the information on the tag and upload the cropping style to the meta information reading module (4) when the determining unit (32) determines that the cropping needs to be performed; wherein the information about the tag includes first feature information that is used to show whether the image detail is being carried out, and second feature information that contains the image detail style.

Images