CN112995540A - Graph cloud generation method and system based on online data - Google Patents
Graph cloud generation method and system based on online data Download PDFInfo
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- 238000010586 diagram Methods 0.000 description 7
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Abstract
The invention provides an image cloud generation method and system based on online data, wherein the technical scheme of the method comprises a data acquisition step of acquiring images of different platforms and display data of the images; a mark merging step, namely generating a display data mark of the image according to the display data, and merging the display data mark and the image; and a picture cloud generating step, namely generating the picture cloud by the image combined with the display data mark according to a preset rule. The invention solves the problem that the prior art cannot automatically generate the image cloud.
Description
Technical Field
The invention belongs to the field of graphic processing, and particularly relates to a graph cloud generation method and system based on online data.
Background
The EChats are open source visualization libraries realized by JavaScript, cover various industry charts, meet various requirements, are compatible with most current browsers (IE8/9/10/11, Chrome, Firefox, Safari and the like) and various devices according to Apache-2.0 open source protocols, and can be displayed at any time and any place. The front-end page EChats control can perform size typesetting display on different words according to the corresponding numbers of the words, and displays rectangular word cloud patterns, for image data, the prior art scheme does not support typesetting of pictures, the display effect is random, the words cannot be sequentially arranged according to the display numbers, and in addition, if the front-end page EChats control participates in corner mark calculation, the calculation speed is low.
At present, the generation of the image cloud mainly adopts a manual mode, the images need to be manually typeset according to the display number of the images in the network, the display number ratio of a certain image in the total image is calculated, the corner mark image is generated by the ratio of the number, the image is placed in the source image to generate a new image, the reset new image is typeset into ppt according to the display number, the workload is large, and a large amount of time is consumed in the manufacturing process.
Disclosure of Invention
The embodiment of the application provides a method and a system for generating an image cloud based on online data, so as to at least solve the problem that the image cloud cannot be automatically generated in the prior art.
In a first aspect, an embodiment of the present application provides a graph cloud generation method based on online data, including: a data acquisition step, namely acquiring images of different platforms and display data of the images; a mark merging step, namely generating a display data mark of the image according to the display data, and merging the display data mark and the image; and a picture cloud generating step, namely generating the picture cloud by the image combined with the display data mark according to a preset rule.
Preferably, the tag merging step includes: a marker generation step of calculating a presentation rate of the image data and generating the presentation rate satisfying a threshold as the presentation data marker; and an image merging step, merging the generated display data mark and the image, and calculating a merging position of the display data mark on the image according to the size of the image.
Preferably, the marker generating step further comprises: and defining different sizes for the display data marks of the image according to the size of the display rate.
Preferably, the marker generating step further comprises: defining different colors for the presentation data indicia of the image according to the platform from which the image originated.
Preferably, the graph cloud generating step includes: and arranging the images according to the display rate and generating the image cloud.
In a second aspect, an embodiment of the present application provides an online data-based graph cloud generating system, which is suitable for the online data-based graph cloud generating method, and includes: the data acquisition unit is used for acquiring images of different platforms and display data of the images; the mark merging unit generates a display data mark of the image according to the display data and merges the display data mark and the image; and the image cloud generating unit is used for generating the image cloud by combining the display data marks according to a preset rule.
In some of these embodiments, the tag merge unit includes: the mark generation module is used for calculating the display rate of the image data and generating the display rate meeting a threshold value as the display data mark; and the image merging module merges the generated display data mark and the image and calculates the merging position of the display data mark on the image according to the size of the image.
In some of these embodiments, the tag generation module further comprises: and defining different sizes for the display data marks of the image according to the size of the display rate.
In some of these embodiments, the tag generation module further comprises: defining different colors for the presentation data indicia of the image according to the platform from which the image originated.
In some embodiments, the graph cloud generating unit includes: and arranging the images according to the display rate and generating the image cloud.
Compared with the related art, the image cloud generating method based on the online data automatically calculates the proportion of the display numbers of the images in all the platforms according to the images acquired by different platforms when the images and the corresponding display numbers of the images are read, generates different corner marks according to the platforms, does not need to process the images by using a plurality of tools, simplifies the complex process of manufacturing the image cloud, and does not need operation steps such as manual typesetting.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a graph cloud generation method based on online data according to the present invention;
FIG. 2 is a flowchart illustrating the substeps of step S2 in FIG. 1;
FIG. 3 is a framework diagram of the online data based graph cloud generation system of the present invention;
FIG. 4 is a block diagram of an electronic device of the present invention;
in the above figures:
1. a data acquisition unit; 2. a tag merge unit; 3. a graph cloud generating unit; 21. a tag generation module; 22. an image merging module; 60. a bus; 61. a processor; 62. a memory; 63. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Embodiments of the invention are described in detail below with reference to the accompanying drawings:
fig. 1 is a flowchart of an online data-based graph cloud generating method of the present invention, please refer to fig. 1, and the online data-based graph cloud generating method of the present invention includes the following steps:
s1: and acquiring images of different platforms and display data of the images.
In specific implementation, images on a batch of different platforms are acquired, data such as the number of displays of each image are acquired at the same time, and optionally, image data is acquired in a link reading mode.
In a specific implementation, an interface may be designed, and after a user uploads a batch of links to the interface, a project is automatically created, image data of the batch of links is stored in the project, and data such as linked pictures and display numbers are read.
S2: and generating a display data mark of the image according to the display data, and combining the display data mark and the image.
In implementations, the detailed picture is visible in the interface and the top left of the picture is displayed as a display of the picture.
Optionally, fig. 2 is a flowchart illustrating a sub-step of step S2 in fig. 1, please refer to fig. 2:
s21: calculating a presentation rate of the image data, and generating the presentation rate satisfying a threshold as the presentation data tag. Optionally, different sizes are defined for the display data marks of the image according to the size of the display rate. Optionally, different colors are defined for the display data marks of the image according to different platforms from which the image originates.
S22: calculating a presentation rate of the image data and generating the presentation rate satisfying a threshold as the presentation data markers,
in specific implementation, the display number of a single picture/the display numbers of all pictures are subjected to proportion calculation, and the sizes and colors of different corner marks are generated through the difference of proportion number intervals and platforms.
For example, for 1% -5% of the percentage, the corner mark picture size is: 50 units wide and 30 units high; for the percentage of 6% -10%, the size of the corner mark picture is as follows: 70 units wide and 50 units high; for the percentage of 11% -30%, the corner mark picture size is: 90 units wide and 70 units high.
For example, for an image source that is microblog, the color is dark blue; for image sources that are WeChat, the color is light blue; for an image source of a small red book, the color is purple; for a picture source that is jittery, the color is yellow.
In specific implementation, the size and color of the corner mark can be freely and custom configured according to the requirements of users.
In specific implementation, for the display effect and feasibility of the image cloud, a threshold of the ratio can be freely defined according to the requirements of a user, and the image cloud is generated only for the image with the ratio exceeding a certain threshold; optionally, only the corner marks are made for the pictures with the percentage of more than 1%.
In a specific implementation, the generated corner mark is combined with the image, and the position of the picture where the corner mark is located is calculated according to the size and the position of the image in order to achieve both the visual effect in the generated image cloud and the visibility of the corner mark.
Please continue to refer to fig. 1:
s3: and generating the image cloud by the image combined with the display data mark according to a preset rule.
Optionally, the images are arranged according to the display rate and the graph cloud is generated.
In a specific implementation, the pictures are input into an image processing tool according to the display number of the pictures from large to small, optionally, the pictures can be input into ppt, and the output form is as follows: the middle is the picture with the largest display number, and the two sides are sequentially decreased progressively, so that the picture proportion and the trend of different platforms can be visually seen. The method greatly improves manual intervention and reduces labor cost and error rate.
In implementations, upon selection of multiple items in an interface, pictures of the multiple items may be aggregated together and generated into the ppt.
According to the method, when the pictures and the corresponding display numbers of the pictures are read, the proportion of the display numbers of the pictures in all the platforms is automatically calculated according to the pictures acquired by different platforms, different corner marks are generated according to the platforms, the pictures do not need to be processed by using a plurality of tools, the complicated process of making the picture cloud is simplified, the operation steps of manual typesetting and the like are not needed, uploading and downloading can be completed by one key in a designed front-end interface, and the efficiency is improved.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here.
The embodiment of the application provides an online data-based graph cloud generation system, which is suitable for the online data-based graph cloud generation method. As used below, the terms "unit," "module," and the like may implement a combination of software and/or hardware of predetermined functions. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware or a combination of software and hardware is also possible and contemplated.
Fig. 3 is a frame diagram of an online data-based graph cloud generating system according to the present invention, please refer to fig. 3, which includes:
the data acquisition unit 1: and acquiring images of different platforms and display data of the images.
In specific implementation, images on a batch of different platforms are acquired, data such as the number of displays of each image are acquired at the same time, and optionally, image data is acquired in a link reading mode.
In a specific implementation, an interface may be designed, and after a user uploads a batch of links to the interface, a project is automatically created, image data of the batch of links is stored in the project, and data such as linked pictures and display numbers are read.
The mark merging unit 2: and generating a display data mark of the image according to the display data, and combining the display data mark and the image.
In implementations, the detailed picture is visible in the interface and the top left of the picture is displayed as a display of the picture.
Optionally, the mark combining unit 2 further includes:
the marker generation module 21: calculating a presentation rate of the image data, and generating the presentation rate satisfying a threshold as the presentation data tag. Optionally, different sizes are defined for the display data marks of the image according to the size of the display rate. Optionally, different colors are defined for the display data marks of the image according to different platforms from which the image originates.
The image merging module 22: calculating a presentation rate of the image data and generating the presentation rate satisfying a threshold as the presentation data markers,
in specific implementation, the display number of a single picture/the display numbers of all pictures are subjected to proportion calculation, and the sizes and colors of different corner marks are generated through the difference of proportion number intervals and platforms.
For example, for 1% -5% of the percentage, the corner mark picture size is: 50 units wide and 30 units high; for the percentage of 6% -10%, the size of the corner mark picture is as follows: 70 units wide and 50 units high; for the percentage of 11% -30%, the corner mark picture size is: 90 units wide and 70 units high.
For example, for an image source that is microblog, the color is dark blue; for image sources that are WeChat, the color is light blue; for an image source of a small red book, the color is purple; for a picture source that is jittery, the color is yellow.
In specific implementation, the size and color of the corner mark can be freely and custom configured according to the requirements of users.
In specific implementation, for the display effect and feasibility of the image cloud, a threshold of the ratio can be freely defined according to the requirements of a user, and the image cloud is generated only for the image with the ratio exceeding a certain threshold; optionally, only the corner marks are made for the pictures with the percentage of more than 1%.
In a specific implementation, the generated corner mark is combined with the image, and the position of the picture where the corner mark is located is calculated according to the size and the position of the image in order to achieve both the visual effect in the generated image cloud and the visibility of the corner mark.
Graph cloud generation unit 3: and generating the image cloud by the image combined with the display data mark according to a preset rule.
Optionally, the images are arranged according to the display rate and the graph cloud is generated.
In a specific implementation, the pictures are input into an image processing tool according to the display number of the pictures from large to small, optionally, the pictures can be input into ppt, and the output form is as follows: the middle is the picture with the largest display number, and the two sides are sequentially decreased progressively, so that the picture proportion and the trend of different platforms can be visually seen. The system greatly promotes manual intervention and reduces labor cost and error rate.
In implementations, upon selection of multiple items in an interface, pictures of the multiple items may be aggregated together and generated into the ppt.
In addition, a graph cloud generating method based on online data described in conjunction with fig. 1 and fig. 2 may be implemented by an electronic device. Fig. 4 is a block diagram of an electronic device of the present invention.
The electronic device may comprise a processor 61 and a memory 62 in which computer program instructions are stored.
Specifically, the processor 61 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The memory 62 may be used to store or cache various data files that need to be processed and/or used for communication, as well as possible computer program instructions executed by the processor 61.
The processor 61 reads and executes the computer program instructions stored in the memory 62 to implement any one of the online data-based graph cloud generation methods in the above embodiments.
In some of these embodiments, the electronic device may also include a communication interface 63 and a bus 60. As shown in fig. 4, the processor 61, the memory 62, and the communication interface 63 are connected via a bus 60 to complete communication therebetween.
The communication port 63 may be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The bus 60 includes hardware, software, or both to couple the components of the electronic device to one another. Bus 60 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), expansion Bus (expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 60 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 60 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The electronic device may execute the graph cloud generation method based on online data in the embodiment of the present application.
In addition, in combination with the graph cloud generation method based on online data in the foregoing embodiments, embodiments of the present application may provide a computer-readable storage medium to implement the method. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any one of the above-described embodiments of online data-based graph cloud generation methods.
And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A graph cloud generation method based on online data is characterized by comprising the following steps:
a data acquisition step, namely acquiring images of different platforms and display data of the images;
a mark merging step, namely generating a display data mark of the image according to the display data, and merging the display data mark and the image;
and a picture cloud generating step, namely generating the picture cloud by the image combined with the display data mark according to a preset rule.
2. The online-data-based graph cloud generation method of claim 1, wherein the label merging step comprises:
a marker generation step of calculating a presentation rate of the image data and generating the presentation rate satisfying a threshold as the presentation data marker;
and an image merging step, merging the generated display data mark and the image, and calculating a merging position of the display data mark on the image according to the size of the image.
3. The online-data-based graph cloud generation method of claim 2, wherein the label generation step further comprises: and defining different sizes for the display data marks of the image according to the size of the display rate.
4. The online-data-based graph cloud generation method of claim 2, wherein the label generation step further comprises: defining different colors for the presentation data indicia of the image according to the platform from which the image originated.
5. The online-data-based graph cloud generation method of claim 1, wherein the graph cloud generation step includes: and arranging the images according to the display rate and generating the image cloud.
6. A graph cloud generation system based on online data, comprising:
the data acquisition unit is used for acquiring images of different platforms and display data of the images;
the mark merging unit generates a display data mark of the image according to the display data and merges the display data mark and the image;
and the image cloud generating unit is used for generating the image cloud by combining the display data marks according to a preset rule.
7. The online-data-based graph cloud generation system of claim 6, wherein the label merging unit comprises:
the mark generation module is used for calculating the display rate of the image data and generating the display rate meeting a threshold value as the display data mark;
and the image merging module merges the generated display data mark and the image and calculates the merging position of the display data mark on the image according to the size of the image.
8. The online data-based graph cloud generation system of claim 7, wherein the tag generation module further comprises: and defining different sizes for the display data marks of the image according to the size of the display rate.
9. The online data-based graph cloud generation system of claim 7, wherein the tag generation module further comprises: defining different colors for the presentation data indicia of the image according to the platform from which the image originated.
10. The online-data-based graph cloud generation system of claim 6, wherein the graph cloud generation unit comprises: and arranging the images according to the display rate and generating the image cloud.
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