CN109783749A - A kind of Material for design intelligent recommendation method, apparatus and terminal device - Google Patents
A kind of Material for design intelligent recommendation method, apparatus and terminal device Download PDFInfo
- Publication number
- CN109783749A CN109783749A CN201811514008.4A CN201811514008A CN109783749A CN 109783749 A CN109783749 A CN 109783749A CN 201811514008 A CN201811514008 A CN 201811514008A CN 109783749 A CN109783749 A CN 109783749A
- Authority
- CN
- China
- Prior art keywords
- emotion
- label
- scheme
- theme
- designed
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Abstract
The application is suitable for software application technology field, provides a kind of Material for design intelligent recommendation method, apparatus and terminal device, which comprises obtain the theme emotion and material label of scheme to be designed, the material label includes at least one parameter item；The material in materials database is screened according to the material label and the theme emotion, obtains with any one parameter item in the material label and meet the material of preset affective filtering rule；According to the matching item number of the parameter item with the material label, according to being ranked up from big to small to the material after screening.The application can solve existing official documents and correspondence design website or the material way of recommendation of software is relatively simple, and non-professional designer is difficult to find that the problem of suitable material carries out official documents and correspondence design.
Description
Technical field
The application belongs to software application technology field more particularly to a kind of Material for design intelligent recommendation method, apparatus and end
End equipment.
Background technique
With the development of science and technology, people can with number of site or by some software autonomous Design posters, business card and
Other some official documents and correspondences, it is not necessary to which all designs all look for the designer of profession to be designed.
Though these websites perhaps the difficulty of software reduction design these websites or software are often only simple
Display database in material, for non-professional designer, be typically hard to find suitable material go expression from
Oneself idea.
To sum up, the material way of recommendation of existing official documents and correspondence design website or software is relatively simple, non-professional designer
Member is difficult to find that suitable material carries out official documents and correspondence design.
Summary of the invention
In view of this, the embodiment of the present application provides a kind of Material for design intelligent recommendation method, apparatus and terminal device, with
The material way of recommendation for solving existing official documents and correspondence design website or software is relatively simple, and non-professional designer is difficult to find that
The problem of suitable material carries out official documents and correspondence design.
The first aspect of the embodiment of the present application provides a kind of Material for design intelligent recommendation method, comprising:
The theme emotion and material label of scheme to be designed are obtained, the material label includes at least one parameter item；
The material in materials database is screened according to the material label and the theme emotion, has obtained band
It states any one parameter item in material label and meets the material of preset affective filtering rule；
According to the matching item number of the parameter item with the material label, according to arranging from big to small the material after screening
Sequence.
The second aspect of the embodiment of the present application provides a kind of Material for design intelligent recommendation device, comprising:
Scheme obtains module, and for obtaining the theme emotion and material label of scheme to be designed, the material label includes
At least one parameter item；
Label emotion module, for according to the material label and the theme emotion to the material in materials database into
Row screening, obtains with any one parameter item in the material label and meets the material of preset affective filtering rule；
Sorting module is matched, for the matching item number of basis and the parameter item of the material label, according to right from big to small
Material after screening is ranked up.
The third aspect of the embodiment of the present application provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer program that can run on the processor, when the processor executes the computer program
It realizes such as the step of the above method.
The fourth aspect of the embodiment of the present application provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, realizes when the computer program is executed by processor such as the step of the above method.
Existing beneficial effect is the embodiment of the present application compared with prior art:
In Material for design intelligent recommendation method provided by the present application, according to the theme emotion and material label of scheme to be designed
Material in materials database is screened, so that the material after screening, which had not only met material label but also met user, thinks embodiment
Theme emotion, when the material after screening is showed user, according to the matching item number of the parameter item with the material label, according to
The material after screening is ranked up from big to small, matching item number is more, then illustrate that the material more meets the requirement of user, so
Being ranked up to material can be used family and more easily searches out required material, solve existing official documents and correspondence design website or
The material way of recommendation of person's software is relatively simple, and non-professional designer is difficult to find that suitable material carries out official documents and correspondence design
Problem.
Detailed description of the invention
It in order to more clearly explain the technical solutions in the embodiments of the present application, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only some of the application
Embodiment for those of ordinary skill in the art without creative efforts, can also be attached according to these
Figure obtains other attached drawings.
Fig. 1 is a kind of implementation process schematic diagram of Material for design intelligent recommendation method provided by the embodiments of the present application；
Fig. 2 is a kind of schematic diagram of Material for design intelligent recommendation device provided by the embodiments of the present application；
Fig. 3 is the schematic diagram of terminal device provided by the embodiments of the present application.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, so as to provide a thorough understanding of the present application embodiment.However, it will be clear to one skilled in the art that there is no these specific
The application also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, so as not to obscure the description of the present application with unnecessary details.
In order to illustrate technical solution described herein, the following is a description of specific embodiments.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " instruction is described special
Sign, entirety, step, operation, the presence of element and/or component, but be not precluded one or more of the other feature, entirety, step,
Operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this present specification merely for the sake of description specific embodiment
And be not intended to limit the application.As present specification and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in present specification and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt
Be construed to " when ... " or " once " or " in response to determination " or " in response to detecting ".Similarly, phrase " if it is determined that " or
" if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true
It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
Embodiment one:
A kind of Material for design intelligent recommendation method provided below the embodiment of the present application one is described, and please refers to attached drawing
1, the Material for design intelligent recommendation method in the embodiment of the present application one includes:
Step S101, the theme emotion and material label of scheme to be designed are obtained, the material label includes at least one
Parameter item；
When needing to recommend material for user, need first to obtain the theme emotion and material label of scheme to be designed, material
Label includes at least one parameter item, and parameters item can indicate different material features, for example, if user wants design
The poster of amusement park, then theme emotion can be " joy ", and the parameter item in material label can be " amusement apparatus ", " red "
" medium size ", parameter item respectively indicate the type of material, the picture size of color and material.
Step S102, the material in materials database is screened according to the material label and the theme emotion,
Obtain with any one parameter item in the material label and meet the material of preset affective filtering rule；
The material in materials database is screened according to material label, is obtained with any one ginseng in material label
Several materials, for example, can be screened to the material in materials database, included " amusement apparatus ", " red " and
The material of any one parameter item in " medium size ".
Also it is possible to which there may be the theme feelings that the theme emotion of portion material and user are intended by materials database
Sense is not inconsistent, and can be carried out according to the theme emotion and preset affective filtering rule of scheme to be designed to the material in materials database
Screening, the material after obtaining affective filtering, for example, being may include with " red " matched material in materials database " with blood
The haunted house of color ", but the theme emotion of haunted house is " fear ", the theme emotion being intended by with user is not inconsistent, therefore by the element
Material screening is rejected.
It can first be screened according to material label during screening, it can also be first according to theme emotion and preset feelings
Sense screening rule screen, or both while be carried out, and specific implementation can be sequentially configured according to the actual situation.
Step S103, according to and the parameter item of the material label matching item number, according to from big to small to screening after
Material is ranked up.
After screening by material label and theme emotion, remaining material can be showed user, show material
Before user, material can also be ranked up.
Sequence can be according to parameter item in the parameter item of the material label of each material and the material label of scheme to be designed
Matching item number is ranked up, and is ranked up according to sequence from big to small, for example, the sliding slide of the red of a medium size, symbol
" amusement apparatus ", " red " and " medium size " these three parameter items are closed, matching item number is 3, a large-sized red wooden horse,
Meet " amusement apparatus " and " red " the two parameter items, matching item number is 2, and a large-sized blue ferris wheel meets " joy
This parameter item of musical instrument tool ", matching item number are 1, therefore, can be plain by these three according to the size of matching item number in sequence
Material carries out arrangement exhibition with the sequence of the sliding slide of the red of medium size, large-sized red wooden horse, large-sized blue ferris wheel
Show.
By being ranked up to the material after screening, user can be allowed to be able to conveniently find and scheme matching degree highest to be designed
Material simplifies the design difficulty of user.
Further, the theme emotion for obtaining scheme to be designed and material label specifically include:
A1, the rough draft image for obtaining the scheme to be designed that user uploads obtain described image progress image recognition described
Described image is inputted trained emotion neural network model, it is defeated to obtain the emotion neural network model by material label
Theme emotion out.
The material label and theme emotion of scheme to be designed can pass through the rough draft figure of the scheme to be designed uploaded to user
As being analyzed to obtain.
After the rough draft image for receiving the scheme to be designed of user's upload, image recognition can be carried out to rough draft image and obtained
Material label, such as: user has briefly drawn a desk lamp in rough draft image, and lampshade applies au bleu, receives user's upload
Rough draft image after, to rough draft image carry out image recognition, obtain material label be " desk lamp ", " blue " and " medium size ".
Also, rough draft image can also be inputted in trained emotion neural network model, obtain emotion nerve net
The theme emotion of network model output.
Alternatively, the theme emotion for obtaining scheme to be designed and material label specifically include:
B1, the theme emotion and material mark of the scheme to be designed are obtained according to the input of user operation or selection operation
Label.
Rough draft image except through uploading to user is analyzed to obtain the theme emotion of scheme to be designed and material mark
Except label, it can also be operated according to the input of user or selection operation obtains the theme emotion and material mark of scheme to be designed
Label, for example, receiving " imperial cat ", " grey " and " large scale " or " big dragon of grey of the user in material label input frame
Cat ", so that it may which the material label for obtaining scheme to be designed is " imperial cat ", " grey " and " large scale ", receives user in theme feelings
Feel " sadness " of input frame input, so that it may which the theme emotion for obtaining scheme to be designed is " sadness ", alternatively, can also directly exist
Listed on design interface a variety of material labels parameter item and a variety of theme emotions, according to the user's choice operation obtain it is to be designed
The material label and theme emotion of scheme.
Further, the preset affective filtering rule specially retains the corresponding material of the theme emotion, alternatively,
The preset affective filtering rule is specially to retain the corresponding material of the theme emotion, and be retained in Plutchik emotion
Take turns material corresponding with the adjacent theme emotion of the theme emotion in model.
Plutchik thinks that the emotion of the mankind is made of eight kinds of basic emotions, this eight kinds of emotions be respectively indignation, fear,
It is sad, detest, in surprise, it is curious, receive and joy, and give corresponding Plutchik emotion wheel model and people facilitated to understand
This eight kinds of emotions.
Preset affective filtering rule can need to be configured according to actual design, preset theme affective filtering rule
It can be set to the corresponding material of theme emotion for only retaining scheme to be designed, for example, the theme emotion of scheme to be designed is " joyous
It is pleased ", then only retain the material that theme emotion is " joy ".
Preset theme affective filtering rule may be set to be the corresponding material of theme emotion for retaining scheme to be designed,
And it is retained in material corresponding with the adjacent theme emotion of above-mentioned theme emotion in Plutchik emotion wheel model, for example, to
The theme emotion of design scheme is " joy ", is " curiosity " in Plutchik emotion wheel model and " joy " adjacent theme emotion
" receiving " then can also retain " curiosity " and " receiving " in addition to the corresponding material of reservation " joy " in the process of screening material
Corresponding material.
Further, the training method of the trained emotion neural network model is as follows:
C1, sample image is obtained, the sample image is the image for having marked theme emotion；
It when being trained emotion neural network model, needs first to obtain sample image, these sample images are to have marked
The image of theme emotion, for example, sample image can be dusky cloudy image, and the image has marked theme emotion and is
" sadness ".
C2, it the sample image is inputted into initial emotion neural network model is trained, obtain described by training
Emotion neural network model.
After getting sample image, sample image is inputted into initial emotion neural network model and is trained
It obtains trained emotion neural network model, in training process, with increasing for sample size, can be improved by training
Emotion neural network model identification accuracy.
In the Material for design intelligent recommendation method that the present embodiment one provides, according to the theme emotion and material of scheme to be designed
Label screens the material in materials database, so that the material after screening, which had not only met material label but also met user, thinks body
Existing theme emotion, when the material after screening is showed user, according to the matching item number of the parameter item with the material label,
According to being ranked up from big to small to the material after screening, matching item number is more, then illustrates that the material more meets the requirement of user,
Required material is more easily searched out so being ranked up to material and family can be used, solves existing official documents and correspondence design grid
It stands or the material way of recommendation of software is relatively simple, non-professional designer is difficult to find that suitable material carries out official documents and correspondence and sets
The problem of meter.
The material label and theme emotion of scheme to be designed analyze by the rough draft image for uploading user
It arrives, can be obtained by the input operation of user or selection operation, when the theme for obtaining scheme to be designed using rough draft image
When emotion, emotion neural network model can be used, feature extraction and analysis are carried out to rough draft image, obtain the master of rough draft image
Inscribe emotion.
When carrying out the screening of theme emotion, it can only retain the corresponding material of theme emotion of scheme to be designed, it can also be with
Retain the corresponding material of theme emotion of scheme to be designed, and is retained in Plutchik emotion wheel model and above-mentioned theme feelings
Feel the adjacent corresponding material of theme emotion, the concrete scheme of affective filtering rule can be configured according to the actual situation.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present application constitutes any limit
It is fixed.
Embodiment two:
The embodiment of the present application two provides a kind of Material for design intelligent recommendation device, for purposes of illustration only, only showing and this Shen
Please relevant part, as shown in Fig. 2, Material for design intelligent recommendation device includes,
Scheme obtains module 201, for obtaining the theme emotion and material label of scheme to be designed, the material label packet
Include at least one parameter item；
Label emotion module 202, for according to the material label and the theme emotion to the element in materials database
Material is screened, and the element of preset affective filtering rule is obtained with any one parameter item in the material label and meet
Material；
Sorting module 203 is matched, for the matching item number of basis and the parameter item of the material label, according to from big to small
Material after screening is ranked up.
Further, the scheme obtains module 201, specifically for obtaining the rough draft figure for the scheme to be designed that user uploads
Picture carries out image recognition to described image and obtains material label, described image is inputted trained emotion neural network mould
Type obtains the theme emotion of the emotion neural network model output.
Alternatively, the scheme obtains module 201, specifically for according to the input operation of user or selection operation obtain to
The theme emotion and material label of design scheme.
Further, the preset affective filtering rule specially retains the corresponding material of the theme emotion, alternatively,
The preset affective filtering rule is specially to retain the corresponding material of the theme emotion, and be retained in Plutchik emotion
Take turns material corresponding with the adjacent theme emotion of the theme emotion in model.
Further, described device further include:
Sample acquisition module, for obtaining sample image, the sample image is the image for having marked theme emotion；
Model training module is trained for the sample image to be inputted initial emotion neural network model, obtains
To the trained emotion neural network model.
It should be noted that the contents such as information exchange, implementation procedure between above-mentioned apparatus/unit, due to the application
Embodiment of the method is based on same design, concrete function and bring technical effect, for details, reference can be made to embodiment of the method part, this
Place repeats no more.
Embodiment three:
Fig. 3 is the schematic diagram for the terminal device that the embodiment of the present application three provides.As shown in figure 3, the terminal of the embodiment is set
Standby 3 include: processor 30, memory 31 and are stored in the meter that can be run in the memory 31 and on the processor 30
Calculation machine program 32.The processor 30 realizes that above-mentioned Material for design intelligent recommendation method is implemented when executing the computer program 32
Step in example, such as step S101 to S103 shown in FIG. 1.Alternatively, the processor 30 executes the computer program 32
The function of each module/unit in the above-mentioned each Installation practice of Shi Shixian, such as the function of module 201 to 203 shown in Fig. 2.
Illustratively, the computer program 32 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 31, and are executed by the processor 30, to complete the application.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 32 in the terminal device 3 is described.For example, the computer program 32 can be divided
It is cut into scheme to obtain module, label emotion module and match sorting module, each module concrete function is as follows:
Scheme obtains module, and for obtaining the theme emotion and material label of scheme to be designed, the material label includes
At least one parameter item；
Label emotion module, for according to the material label and the theme emotion to the material in materials database into
Row screening, obtains with any one parameter item in the material label and meets the material of preset affective filtering rule；
Sorting module is matched, for the matching item number of basis and the parameter item of the material label, according to right from big to small
Material after screening is ranked up.
The terminal device 3 can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The terminal device may include, but be not limited only to, processor 30, memory 31.It will be understood by those skilled in the art that Fig. 3
The only example of terminal device 3 does not constitute the restriction to terminal device 3, may include than illustrating more or fewer portions
Part perhaps combines certain components or different components, such as the terminal device can also include input-output equipment, net
Network access device, bus etc..
Alleged processor 30 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 31 can be the internal storage unit of the terminal device 3, such as the hard disk or interior of terminal device 3
It deposits.The memory 31 is also possible to the External memory equipment of the terminal device 3, such as be equipped on the terminal device 3
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, the memory 31 can also both include the storage inside list of the terminal device 3
Member also includes External memory equipment.The memory 31 is for storing needed for the computer program and the terminal device
Other programs and data.The memory 31 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
Scope of the present application.
In embodiment provided herein, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the application realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium
It may include: any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic that can carry the computer program code
Dish, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice
Subtract, such as does not include electric carrier signal and electricity according to legislation and patent practice, computer-readable medium in certain jurisdictions
Believe signal.
Embodiment described above is only to illustrate the technical solution of the application, rather than its limitations；Although referring to aforementioned reality
Example is applied the application is described in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution should all
Comprising within the scope of protection of this application.
Claims (10)
1. a kind of Material for design intelligent recommendation method characterized by comprising
The theme emotion and material label of scheme to be designed are obtained, the material label includes at least one parameter item；
The material in materials database is screened according to the material label and the theme emotion, is obtained with the element
Any one parameter item and meet the material of preset affective filtering rule in material label；
According to the matching item number of the parameter item with the material label, according to being ranked up from big to small to the material after screening.
2. Material for design intelligent recommendation method as described in claim 1, which is characterized in that the master for obtaining scheme to be designed
Topic emotion and material label specifically include:
The rough draft image for obtaining the scheme to be designed that user uploads carries out image recognition to described image and obtains the material mark
Label, input trained emotion neural network model for described image, obtain the master of the emotion neural network model output
Inscribe emotion.
3. Material for design intelligent recommendation method as described in claim 1, which is characterized in that the master for obtaining scheme to be designed
Topic emotion and material label specifically include:
The theme emotion and material label of the scheme to be designed are obtained according to the input of user operation or selection operation.
4. Material for design intelligent recommendation method as described in claim 1, which is characterized in that the preset affective filtering rule
Specially retain the corresponding material of the theme emotion, alternatively, the preset affective filtering rule is specially to retain the master
The corresponding material of emotion is inscribed, and is retained in theme emotion pair adjacent with the theme emotion in Plutchik emotion wheel model
The material answered.
5. Material for design intelligent recommendation method as claimed in claim 2, which is characterized in that the trained emotion nerve
The training method of network model is as follows:
Sample image is obtained, the sample image is the image for having marked theme emotion；
The sample image is inputted initial emotion neural network model to be trained, obtains the trained emotion mind
Through network model.
6. a kind of Material for design intelligent recommendation device characterized by comprising
Scheme obtains module, and for obtaining the theme emotion and material label of scheme to be designed, the material label includes at least
One parameter item；
Label emotion module, for being sieved according to the material label and the theme emotion to the material in materials database
Choosing obtains with any one parameter item in the material label and meets the material of preset affective filtering rule；
Sorting module is matched, for the matching item number of basis and the parameter item of the material label, according to from big to small to screening
Material afterwards is ranked up.
7. Material for design intelligent recommendation device as claimed in claim 6, which is characterized in that the scheme obtains module, specifically
For obtaining the rough draft image of the scheme to be designed of user's upload, image recognition is carried out to described image and obtains material label, it will
Described image inputs trained emotion neural network model, obtains the theme feelings of the emotion neural network model output
Sense.
8. Material for design intelligent recommendation device as claimed in claim 6, which is characterized in that the scheme obtains module, specifically
For obtaining the theme emotion and material label of scheme to be designed according to the input of user operation or selection operation.
9. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 5 when executing the computer program
The step of any one the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of any one of such as claim 1 to 5 of realization the method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811514008.4A CN109783749A (en) | 2018-12-10 | 2018-12-10 | A kind of Material for design intelligent recommendation method, apparatus and terminal device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811514008.4A CN109783749A (en) | 2018-12-10 | 2018-12-10 | A kind of Material for design intelligent recommendation method, apparatus and terminal device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109783749A true CN109783749A (en) | 2019-05-21 |
Family
ID=66495853
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811514008.4A Pending CN109783749A (en) | 2018-12-10 | 2018-12-10 | A kind of Material for design intelligent recommendation method, apparatus and terminal device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109783749A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110688525A (en) * | 2019-09-23 | 2020-01-14 | 北京达佳互联信息技术有限公司 | Material resource allocation method and device, electronic equipment and storage medium |
| CN111241342A (en) * | 2020-01-15 | 2020-06-05 | 北京奇艺世纪科技有限公司 | Material file storage management method and device and material file retrieval method and device |
| CN111460194A (en) * | 2020-03-13 | 2020-07-28 | 广东三维家信息科技有限公司 | Method and device for configuring style library, computer equipment and storage medium |
| CN111460546A (en) * | 2020-03-13 | 2020-07-28 | 广东三维家信息科技有限公司 | Door panel style configuration method and device, computer equipment and storage medium |
| CN112394934A (en) * | 2020-11-27 | 2021-02-23 | 完美世界(北京)软件科技发展有限公司 | File processing method and device, electronic equipment and readable medium |
| CN112597695A (en) * | 2020-12-03 | 2021-04-02 | 浙江大学 | Computer aided design method and system based on perceptual feature clustering |
| CN112989187A (en) * | 2021-02-25 | 2021-06-18 | 平安科技（深圳）有限公司 | Recommendation method and device for creative materials, computer equipment and storage medium |
| CN114662175A (en) * | 2022-04-01 | 2022-06-24 | 亿玛创新网络(天津)有限公司 | AI screening method, system, equipment and medium for intelligent design generated result |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105512155A (en) * | 2014-10-18 | 2016-04-20 | 天津灵隆科技有限公司 | Device and method for multi-layer semantic image retrieval |
| CN105938565A (en) * | 2016-06-27 | 2016-09-14 | 西北工业大学 | Multi-layer classifier and Internet image aided training-based color image emotion classification method |
| CN106355429A (en) * | 2016-08-16 | 2017-01-25 | 北京小米移动软件有限公司 | Image material recommendation method and device |
| CN107341506A (en) * | 2017-06-12 | 2017-11-10 | 华南理工大学 | A kind of Image emotional semantic classification method based on the expression of many-sided deep learning |
| CN107679580A (en) * | 2017-10-21 | 2018-02-09 | 桂林电子科技大学 | A kind of isomery shift image feeling polarities analysis method based on the potential association of multi-modal depth |
| US10133918B1 (en) * | 2015-04-20 | 2018-11-20 | Snap Inc. | Generating a mood log based on user images |
-
2018
- 2018-12-10 CN CN201811514008.4A patent/CN109783749A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105512155A (en) * | 2014-10-18 | 2016-04-20 | 天津灵隆科技有限公司 | Device and method for multi-layer semantic image retrieval |
| US10133918B1 (en) * | 2015-04-20 | 2018-11-20 | Snap Inc. | Generating a mood log based on user images |
| CN105938565A (en) * | 2016-06-27 | 2016-09-14 | 西北工业大学 | Multi-layer classifier and Internet image aided training-based color image emotion classification method |
| CN106355429A (en) * | 2016-08-16 | 2017-01-25 | 北京小米移动软件有限公司 | Image material recommendation method and device |
| CN107341506A (en) * | 2017-06-12 | 2017-11-10 | 华南理工大学 | A kind of Image emotional semantic classification method based on the expression of many-sided deep learning |
| CN107679580A (en) * | 2017-10-21 | 2018-02-09 | 桂林电子科技大学 | A kind of isomery shift image feeling polarities analysis method based on the potential association of multi-modal depth |
Non-Patent Citations (1)
| Title |
|---|
| 庄毅: "基于视觉和情感特征模型的图像概率检索", 《小型微型计算机系统》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110688525A (en) * | 2019-09-23 | 2020-01-14 | 北京达佳互联信息技术有限公司 | Material resource allocation method and device, electronic equipment and storage medium |
| CN111241342A (en) * | 2020-01-15 | 2020-06-05 | 北京奇艺世纪科技有限公司 | Material file storage management method and device and material file retrieval method and device |
| CN111460194A (en) * | 2020-03-13 | 2020-07-28 | 广东三维家信息科技有限公司 | Method and device for configuring style library, computer equipment and storage medium |
| CN111460546A (en) * | 2020-03-13 | 2020-07-28 | 广东三维家信息科技有限公司 | Door panel style configuration method and device, computer equipment and storage medium |
| CN111460194B (en) * | 2020-03-13 | 2024-01-26 | 广东三维家信息科技有限公司 | Style library configuration method, device, computer equipment and storage medium |
| CN112394934A (en) * | 2020-11-27 | 2021-02-23 | 完美世界(北京)软件科技发展有限公司 | File processing method and device, electronic equipment and readable medium |
| CN112597695A (en) * | 2020-12-03 | 2021-04-02 | 浙江大学 | Computer aided design method and system based on perceptual feature clustering |
| CN112597695B (en) * | 2020-12-03 | 2022-05-03 | 浙江大学 | Computer aided design method and system based on perceptual feature clustering |
| CN112989187A (en) * | 2021-02-25 | 2021-06-18 | 平安科技（深圳）有限公司 | Recommendation method and device for creative materials, computer equipment and storage medium |
| CN114662175A (en) * | 2022-04-01 | 2022-06-24 | 亿玛创新网络(天津)有限公司 | AI screening method, system, equipment and medium for intelligent design generated result |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109783749A (en) | A kind of Material for design intelligent recommendation method, apparatus and terminal device | |
| Zelterman | Applied multivariate statistics with R | |
| Liu et al. | Deepfood: Deep learning-based food image recognition for computer-aided dietary assessment | |
| CN109816009A (en) | Multi-tag image classification method, device and equipment based on picture scroll product | |
| Verbeek | Materializing morality: Design ethics and technological mediation | |
| Callon et al. | Peripheral vision: Economic markets as calculative collective devices | |
| Belpaeme et al. | Explaining universal color categories through a constrained acquisition process | |
| Breitenbücher et al. | Vino4TOSCA: a visual notation for application topologies based on TOSCA | |
| CN109299976A (en) | Clicking rate prediction technique, electronic device and computer readable storage medium | |
| CN108229478A (en) | Image, semantic segmentation and training method and device, electronic equipment, storage medium and program | |
| Berg et al. | Rich pictures: Collaborative communication through icons | |
| CN109461037A (en) | Comment on viewpoint clustering method, device and terminal | |
| CN108021864A (en) | Character personality analysis method, device and storage medium | |
| CN110032647A (en) | Method, apparatus and storage medium based on industrial circle building knowledge mapping | |
| Carlier et al. | The 2d shape structure dataset: A user annotated open access database | |
| WO2023015935A1 (en) | Method and apparatus for recommending physical examination item, device and medium | |
| CN106776716A (en) | A kind of intelligent Matching marketing consultant and the method and apparatus of user | |
| CN108984555A (en) | User Status is excavated and information recommendation method, device and equipment | |
| CN109033266A (en) | Information distribution method, device, electronic equipment and computer-readable medium | |
| Ciston | Intersectional AI is essential: Polyvocal, multimodal, experimental methods to save artificial intelligence | |
| CN111506755A (en) | Picture set classification method and device | |
| CN110032731A (en) | Business Scope of Enterprise judgment method, device and computer readable storage medium | |
| WO2014185651A2 (en) | Method for providing integrated management service for creative products in cultural arts reflecting needs of requester | |
| CN108153754A (en) | A kind of data processing method and its device | |
| CN109241869A (en) | The recognition methods of answering card score, device and terminal device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190521 |
|
| RJ01 | Rejection of invention patent application after publication |