CN109190019A - User image generation method, electronic equipment and computer storage medium - Google Patents

User image generation method, electronic equipment and computer storage medium Download PDF

Info

Publication number
CN109190019A
CN109190019A CN201810892326.8A CN201810892326A CN109190019A CN 109190019 A CN109190019 A CN 109190019A CN 201810892326 A CN201810892326 A CN 201810892326A CN 109190019 A CN109190019 A CN 109190019A
Authority
CN
China
Prior art keywords
user
image
feature tag
elements
animation
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.)
Granted
Application number
CN201810892326.8A
Other languages
Chinese (zh)
Other versions
CN109190019B (en
Inventor
姜山
殷祥
戴树颖
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ireader Technology Co Ltd
Zhangyue Technology Co Ltd
Original Assignee
Zhangyue Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhangyue Technology Co Ltd filed Critical Zhangyue Technology Co Ltd
Priority to CN201810892326.8A priority Critical patent/CN109190019B/en
Publication of CN109190019A publication Critical patent/CN109190019A/en
Application granted granted Critical
Publication of CN109190019B publication Critical patent/CN109190019B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques

Abstract

The embodiment of the invention discloses a kind of user image generation method, electronic equipment and computer storage mediums, for being that user makes vivid situation based on user tag.Wherein method comprises determining that the feature tag of user;Feature tag according to user determines at least one elements image of user;At least one elements image according to user generates user image.It is that user makes vivid effect that the feature tag based on user, which may be implemented, automatically in the embodiment of the present invention, the reading features of user are shown by visual image, very big interest is brought to user, the usage experience that user applies electronic reading can be improved, enrich the function of electronic reading application.

Description

User image generation method, electronic equipment and computer storage medium
Technical field
The present invention relates to field of computer technology, and in particular to a kind of user image generation method, electronic equipment and calculating Machine storage medium.
Background technique
Currently, with universal and E-book reader the development of the mobile terminals such as mobile phone, e-book is increasingly reviewed Read the favor of user.As a kind of reading trend of modernization, the advantage of electronic reading is fairly obvious: low-carbon, convenient, at low cost And amount of storage is big.
For electronic reading enterprise, user experience is improved, promotes product competitiveness, being can not in R & D of complex The problem of ignorance.However, existing E-book reader is in terms of providing normal e-book reading function for user, substantially It is similar.The finiteness of application function causes the using experience degree of user not high.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind State user image generation method, electronic equipment and the computer storage medium of problem.
According to an aspect of the invention, there is provided a kind of user image generation method, which comprises determine user Feature tag;Feature tag according to user determines at least one elements image of user;At least one shape according to user As Element generation user image.
According to another aspect of the present invention, a kind of electronic equipment is provided, comprising: processor, memory, communication interface and logical Believe bus, the processor, the memory and the communication interface complete mutual communication by the communication bus;Institute State memory for store an at least executable instruction, the executable instruction makes the processor execute following operation: determining The feature tag of user;Feature tag according to user determines at least one elements image of user;At least one according to user A elements image generates user image.
According to another aspect of the invention, a kind of computer storage medium is provided, at least one is stored in storage medium Executable instruction, executable instruction make processor execute following operation: determining the feature tag of user;Feature mark according to user Sign at least one elements image for determining user;At least one elements image according to user generates user image.
User image generation method, electronic equipment and computer storage medium according to the present invention are thought of as user's production The scene of image, it is that user makes vivid effect that the feature tag based on user, which may be implemented, automatically, and the reading of user is special Point is shown by visual image, and very big interest is brought to user, user can be improved to electronic reading application Usage experience, enrich electronic reading application function.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention, And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 shows a kind of flow chart of user image generation method of the offer of the embodiment of the present invention one;
Fig. 2 shows a kind of flow charts of user image generation method provided by Embodiment 2 of the present invention;
Fig. 3 shows a kind of flow chart of user image generation method of the offer of the embodiment of the present invention three;
Fig. 4 shows the structural schematic diagram of a kind of electronic equipment of the offer of the embodiment of the present invention four.
Specific embodiment
The exemplary embodiment that the present invention will be described in more detail below with reference to accompanying drawings.Although showing the present invention in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the present invention without should be by embodiments set forth here It is limited.It is to be able to thoroughly understand the present invention on the contrary, providing these embodiments, and can be by the scope of the present invention It is fully disclosed to those skilled in the art.
Fig. 1 shows a kind of flow chart of user image generation method of the offer of the embodiment of the present invention one, for being to read User generates the case where user image, and this method can be executed by the electronic equipment with e-book reading function.Such as Fig. 1 institute Show, method includes the following steps:
Step S101 determines the feature tag of user.
When electronic reading application detects user after the image that application interface triggers generates instruction, in response to image life The feature tag of user is determined by grabbing back-end data at instruction.
Wherein, the feature tag of user as pictorial symbol record user reading features, also, when feature tag has It is sex-limited, it can be constantly updated with the variation of time.The feature tag source of user may include following at least one: user is certainly The label of edlin and preservation;Read the label that mark is interacted between good friend;Electronic reading application backstage passes through in real time or periodically Analyze user data, automatically be the matched label of user, wherein user data mainly include read application backstage record with The relevant historical data of family reading behavior.The feature tag of user combines the corresponding time that can be stored in the form of list of labels Using backstage.
Illustratively, there are label editing option in electronic reading application, user can edit in current slot at any time Personal label;There is the sub- option mutually labelled in good friend's interaction option of electronic reading application, reading between good friend can be with It is mutually labelled according to good friend's impression;Electronic reading is applied according to time cycle periodic analysis user data, matches label for user, Wherein, the time cycle can be the time cycle of user preset, be also possible to background analysis and go out user image feature to change Time cycle.
Specifically, determining the feature tag of user, comprising:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining the feature tag of user.
The reading behavior data of user include the production of note reading, read progress, and reading comment thumbs up behavior, consumes Type, question and answer are replied and reading activities participate in type etc..Consider its progress of the interested content of user under normal conditions Thinking it is more, the notes of production are just more;For interested books, it is faster to read progress;Reading comment is more, question and answer are returned It is multiple it is more frequent, behavior is more or participate in the Reading Activities of a certain type is thumbed up to a certain content, show user to phase The reading content answered is interested;The consumption type of user shows the type tendency that user usually buys books, and therefore, can be based on Above-mentioned behavioral data analyzes the interested content of user, and then determines the feature tag of user.
Natural quality, that is, user personal information data of user, including gender, constellation, affective state, position and occupation Deng this category information can be obtained by the statistics of the Account Registration information to user.
The Resource Properties of user's read resource include resource type and asset topics content, specifically may include text Resource, picture resource and audio and video resources etc., textual resources include books, periodical and information etc..It can under each read resource To include different reading themes.By the attributive analysis to user's read resource, it can obtain user's based on resource content Feature tag.It, can feature tag by " Conan's caricature " as user for example, user likes seeing the caricature of Conan's theme.
In addition, being also based on group belonging to user other than the feature tag for directly determining user according to user data Body determines the feature tag of user.Specifically, determining the feature tag of user, comprising:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining group types belonging to user;
Using the feature tag of group types belonging to user as the feature tag of user.
Group types belonging to user are determined first, then using the label of the group types as the feature tag of user, It may be implemented the combination of the personal image of user and group's image, the feature tag source of extending user.For example, passing through user Location information X in natural quality can be associated with the reading user of same position, i.e. X is determined with city book friend with this friendly a group of city book The feature tag of body includes that position X, white collar, residence, fashion and IT etc. can be by group of subscribers in conjunction with the analysis to user data Feature tag as user of at least one of feature tag.
Furthermore when generating instruction in response to the image that user triggers, use can also be determined by way of random test The feature tag at family.Such as electronic reading is stored with test question bank using backstage, refers to when the image for detecting user's triggering generates When enabling, randomly selects a certain number of test questions and feed back to user, the feature of user is determined based on the result of user's on-line testing Label.
It should be noted that specifically how to determine that the feature tag of user has no specific restriction, above-mentioned method of determination can be with A use is selected, it can also be in conjunction with use.
Step S102, the feature tag according to user determine at least one elements image of user.
Can correspond under each feature tag therefore can be based on determining use there are many associated elements image Family feature tag calls network data base or local elements image database to carry out element and searches for and match, by preset quantity Elements image be determined as the elements image of user.Wherein, local elements image database includes the image that user downloads in advance The elements image of element data packet and collection.
Illustratively, when the feature tag for determining user is high consumption personage, it can choose and determine expensive accessories For elements image of user, such as pearl, diamond etc.;When the feature tag for determining user is history fan, can choose literary matter Refined accessories are determined as elements image of user, such as pure color scarf, black glasses etc..
Step S103, at least one elements image according to user generate user image.
It, can be by calling third square as making application or utilizing embedded shape after user image element determines As tools, elements image is combined generation user image, each elements image of user can also be sent to service Device is made by server completion user image and returns to electronic reading application.Wherein, when based on server generation user image When, it also can use model of image trained in advance, using the feature tag of user and corresponding elements image as input, obtain User image.According to the difference between user, model of image can carry out adaptive adjustment according to vivid create-rule, to protect Demonstrate,prove accuracy and visualization that user image generates.The image that vivid create-rule defines different user in different time sections is raw At rule, considers that the user characteristics label in different time sections may be different, cause determining elements image different, in turn The extraction of user image element is also different from rule of combination.
When user image generate after, user can it is customized be arranged the image use, for example, can be by reshaping as setting It is set to e-book reading background, the starting cover etc. when electronic reading application starts.
The present embodiment technical solution passes through the feature tag for determining user, and the feature tag according to user determines user extremely A few elements image, at least one elements image according to user generate user image, realize the feature mark based on user Label automatically for user make image effect, the reading features of user are shown by visual image, give user with Carry out very big interest, improve the usage experience that user applies electronic reading, while also enriching electronic reading application Function.
Embodiment two
Fig. 2 shows a kind of flow charts of user image generation method provided by Embodiment 2 of the present invention, as above-mentioned reality Apply the refinement and extension of a technical solution.As shown in Fig. 2, this method comprises:
Step S201 determines the feature tag of user.
Step S202 determines the degree of association between the feature tag of user and preset each elements image.
Wherein, preset each elements image may include that network data base or local image member are called according to feature tag Whole elements images in the elements image for the preset quantity that plain database search arrives, or local elements image database.In advance If each elements image belong to the first of user image element and screen again, on this basis, user's reading behavior number can be combined According at least one of, the natural quality of user and Resource Properties of user's read resource, to preset elements image again into Row calculation of relationship degree, such as the similarity of each elements image and corresponding feature tag, are determined more according to calculated result Stick on the elements image for sharing family.
The degree of association between the feature tag of user is greater than the elements image of preset degree of association threshold value by step S203 Elements image as user.
Wherein, degree of association threshold value, which can according to need, is configured, and can be fitted according to preset elements image quantity Answering property adjusts.For example, degree of association threshold can be increased when the elements image total quantity searched based on a certain feature tag is more Value, when the elements image total quantity searched based on a certain feature tag is less, can reduce degree of association threshold value, to guarantee to appoint There is available user image element in the case of meaning.By the setting of degree of association threshold value, user image generating process may be implemented In, to the Effective selection of elements image, produce the image of fitting user's feature.
Step S204, the elements image according to user generate user image.
Optionally, after generating user image according at least one elements image of user, this method further include:
Determine the association user of user;
The elements image for including in association user image is pushed to user to select for user;
If detecting, user selects any elements image for including in association user image, pushes image member to user The associated reading task of element.
Wherein, association user refers to that there are the users of same or similar feature with user image.For example, can be based on generation User image, by image analyze, calculate with other read user images similarity value, determine association user;It can also To be based on the corresponding feature tag of user image, the feature tag for reading user with other carries out similarity calculation, determines to close It is combined family.After association user determines, the elements image for including in the image of association user is shown in electronic reading application Element interface, for user select, while by user select elements image save into local elements image database.In this way On the one hand can increase user to the autonomous selectivity of elements image, expand local elements image database, improve current shape as; On the other hand user preference can also preferably be recorded based on user's selection, accurately to recommend relevant read to appoint for user Business, enriches the existing reading way of recommendation, wherein the reading task recommended may include books, periodical, information, audio, video With at least one of types such as picture read resource.
Illustratively, according to the scientist of user image, the association user image determined is explorer, explorer's shape As in addition to include in scientist's user image other than identical magnifying glass element, further include that map, compass and fossil etc. are vivid Element can then be recommended and map phase when detecting that user at least selected one of elements image, such as map to user The national geography class books and video of pass.
The present embodiment technical solution passes through the degree of association between the feature tag and preset each elements image that determine user, The degree of association between the feature tag of user is greater than to image member of the elements image as user of preset degree of association threshold value Element, and then user image is generated, it ensure that the user image of generation and the compactness of user reading features itself, by readding for user Reading feature is shown by visual image, and very big interest is brought to user;Also, the image based on association user Element is that user recommends related reading task, enriches the existing reading way of recommendation.
Embodiment three
Fig. 3 shows a kind of flow chart of user image generation method of the offer of the embodiment of the present invention three, as above-mentioned reality Apply the refinement and extension of a technical solution.As shown in figure 3, this method comprises:
Step S301 determines the feature tag of user.
Step S302, the feature tag according to user determine at least one elements image of user.
Step S303, at least one elements image according to user generate user image.
Step S304 extracts at least one elements image from least one elements image included by user image.
Step S305 generates user's head portrait according at least one elements image extracted.
The elements image for including in user image based on generation therefrom automatically extracts arbitrary elements image, generates and uses The head portrait at family, can be to avoid user hand dynamic the case where uploading head portrait.For example, according to the feature tag " sprouting younger sister " of user, generation User image is to comb ball head, with bowknot is decorated on round frame glasses and clothes and Scorpio decorative pattern sprouts younger sister, can To extract butterfly element therein automatically as the head portrait of user.
Also, after user image generates, image picture is equally supported the fractionation of elements image and is selected.Work as electronic reading After detecting the instruction of selection operation that user triggers on the user image of generation, instructed in response to the selection operation, really Determine at least one trigger position of user's selection operation, and the corresponding elements image of trigger position is combined generation account Picture.
It can be set with the trigger control for generating user image identical about the trigger control for generating user's head portrait Application interface, also can be set in different application interfaces.
Illustrative one, the trigger control for generating user's head portrait and generation user image is arranged in identical application interface, Such as image generates interface, clicks the trigger control for generating user image on interface when user generates in image, it is raw to trigger image At instruction, electronic reading is applied to generate in response to the image and be instructed, and is generated user image and is shown that then user exists at the interface Continue to click the trigger control for generating user's head portrait on the interface, and carries out selection operation, electronics on the user image of display It reads application successively to instruct in response to head portrait generation instruction and selection operation, generates user's head portrait, and automatically update a to user User's head portrait region in people's information bar.If user's head portrait is electronic reading using being automatically generated based on user image, no It is related to user's selection operation.
Illustrative two, it generates user's head portrait and generates the trigger control of user image not in identical application interface, example It such as generates the trigger control of user image and generates interface in image, generate the trigger control of user's head portrait at user information interface, After user clicks the trigger control for generating user's head portrait, image is jumped to by current page and generates interface, is selected according to user Elements image generate user's head portrait;Alternatively, system automatic Display is raw after user clicks the trigger control for generating user's head portrait At user image, according to user selection elements image generate user's head portrait.If user's head portrait is electronic reading application base It is automatically generated in user image, then can not be related to interface and jump and user's selection operation.
Based on the above technical solution, optionally, this method further include:
Colloquial style title is added in the user image or user's head portrait of generation, wherein colloquial style title is according to user's shape As or user's head portrait include elements image associated by feature tag determine.
The addition of colloquial style title can increase the interest of user image or user's head portrait.
Illustratively, after generating user image or user's head portrait, directly associated feature tag can be carried out spoken Change conversion, obtain colloquial style title, for example, feature tag " sprouting younger sister " based on user generate sprout younger sister's image, " can will sprout younger sister " Spoken language turns to " I is to sprout younger sister's paper ";Alternatively, associated feature tag is based on, in network data base or local title database It scans for, obtains corresponding colloquial style title, wherein local title database includes the title data packet that user downloads in advance It is vivid with the colloquial style title of collection, such as the scientist that the feature tag " scientist " based on user generates, in local title Search obtains colloquial style title " small think tank " in database;Then can by colloquial style title Overlapping display in user image or On head portrait.
In addition, being likely to be obtained multiple spoken languages when multiple feature tags have been respectively associated in user image or user's head portrait Change title, at this point it is possible to simultaneously by multiple colloquial style title Overlapping displays on user image or user's head portrait, it can also be with base It selects to show specific colloquial style title in user.
Optionally, this method further include:
If detecting animation acquisition instruction, it is determined that three-dimensional animation associated by user image or user's head portrait or AR are dynamic It draws, wherein animation acquisition instruction is to obtain what operation generated according to the animation to user image or user's head portrait.
Animation acquisition instruction can show that interface or user's head portrait show pair on interface in user image by user Animation obtains control and carries out a selection operation and trigger, can also be by calling camera to sweep user image or user's head portrait It retouches and triggers.Electronic reading is applied in response to the animation acquisition instruction, by user image or user's head portrait three-dimensional and mobilism, It generates animation effect and shows user, to achieve the effect that increase the vividness and flexibility of user image or head portrait.
Specifically, three-dimensional animation or AR animation are generated according to the reading behavior data of user image and user;Or Person, three-dimensional animation or AR animation are that the resource content read according to user generates.
It, can the money based on the reading behavior data of user or user's reading after i.e. user image or user's head portrait generate Source contents create a virtual scene, obtain three-dimensional animation or AR animation.For example, if user is making reading note, It can be then based on user image, generate the corresponding virtual portrait of a user image in the three-dimensional animation or AR of production reading note Animation;If user likes seeing Journey to the West, it can be one in four people of master and apprentice by user image incarnation, generate a master and apprentice Four people lead the three-dimensional animation or AR animation of horse.
Optionally, this method further include:
If detecting the resource acquisition instruction including any elements image, it is determined that resource associated by the elements image, Wherein resource acquisition instruction is generated according to the resource acquisition operation to the elements image in user image or user's head portrait.
Wherein, resource acquisition instruction specifically can by user on the user image or user's head portrait of generation to shape The point selection operation of picture dot element and trigger;It can also be triggered by point selection operation of the user to elements image list, wherein image Element list is to be generated in user image or user's head portrait based on the elements image for including, and with user image or head portrait Change and updates.The elements image of electronic reading application identification user's selection, is then based on the elements image and carries out web search Or local search, the determining and associated read resource of the elements image, and show user.By by read resource and user Elements image it is associated, can be in such a way that extending user obtains resource, while also increasing the function of user's head portrait or user image Energy property, i.e. each elements image are equivalent to a resource link mark.
The present embodiment technical solution by generating user image according to the feature tag of user, take out from user image by foundation At least one elements image taken generates user's head portrait, realizes automatically generating for user's head portrait, avoids user and upload manually The phenomenon that head portrait;Also, the addition of colloquial style title increases the interest of user image or user's head portrait;Meanwhile according to Family image or user's head portrait, read resource associated by available associated three-dimensional animation or AR animation and elements image, The vividness of user image or user's head portrait is not only increased, and increases the functionality of user image or user's head portrait.
Example IV
Fig. 4 shows the structural schematic diagram of a kind of electronic equipment of the offer of the embodiment of the present invention four, present invention specific implementation Example does not limit the specific implementation of electronic equipment.
As shown in figure 4, the server may include: processor (processor) 402, communication interface (Communications Interface) 404, memory (memory) 406 and communication bus 408.
Wherein:
Processor 402, communication interface 404 and memory 406 complete mutual communication by communication bus 408.
Communication interface 404, for being communicated with the network element of other equipment such as client or other servers etc..
Processor 402 can specifically execute in above-mentioned user image generation method embodiment for executing program 410 Correlation step.
Specifically, program 410 may include program code, which includes computer operation instruction.
Processor 402 may be central processor CPU or specific integrated circuit ASIC (Application Specific Integrated Circuit), or be arranged to implement the integrated electricity of one or more of the embodiment of the present invention Road.The one or more processors that server includes can be same type of processor, such as one or more CPU;It can also be with It is different types of processor, such as one or more CPU and one or more ASIC.
Memory 406, for storing program 410.Memory 406 may include high speed RAM memory, it is also possible to further include Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.
Program 410 specifically can be used for so that processor 402 executes following operation:
Determine the feature tag of user;
Feature tag according to user determines at least one elements image of user;
At least one elements image according to user generates user image.
In a kind of optional mode, program 410 can specifically be further used for so that processor 402 executes following behaviour Make:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining the feature tag of user.
In a kind of optional mode, program 410 can specifically be further used for so that processor 402 executes following behaviour Make:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining group types belonging to user;
Using the feature tag of group types belonging to user as the feature tag of the user.
In a kind of optional mode, program 410 can specifically be further used for so that processor 402 executes following behaviour Make:
Determine the degree of association between the feature tag of user and preset each elements image;
Using the degree of association between the feature tag of the user be greater than preset degree of association threshold value elements image as The elements image of user.
In a kind of optional mode, program 410 specifically be can be also used for so that processor 402 executes following operation:
At least one elements image is extracted from least one elements image included by the user image;
User's head portrait is generated according at least one elements image extracted.
In a kind of optional mode, program 410 can specifically be further used for so that processor 402 executes following behaviour Make:
Colloquial style title is added in the user image or user's head portrait of generation, wherein the colloquial style title is according to use Feature tag associated by the elements image that family image or user's head portrait include determines.
In a kind of optional mode, program 410 specifically be can be also used for so that processor 402 executes following operation:
If detecting animation acquisition instruction, it is determined that three-dimensional animation or AR associated by the user image or user's head portrait Animation, wherein the animation acquisition instruction is to obtain what operation generated according to the animation to the user image or user's head portrait.
In a kind of optional mode, wherein the three-dimensional animation or AR animation are according to user image and user What reading behavior data generated;Alternatively,
The three-dimensional animation or AR animation are that the resource content read according to user generates.
In a kind of optional mode, program 410 specifically be can be also used for so that processor 402 executes following operation:
If detecting the resource acquisition instruction including any elements image, it is determined that resource associated by the elements image, Wherein the resource acquisition instruction is grasped according to the resource acquisition to the elements image in the user image or user's head portrait What work generated.
In a kind of optional mode, program 410 specifically be can be also used for so that processor 402 executes following operation:
Determine the association user of user;
The elements image for including in association user image is pushed to user to select for user;
If detecting, user selects any elements image for including in association user image, pushes image member to user The associated reading task of element.
The embodiment of the invention also provides a kind of nonvolatile computer storage media, the computer storage medium storage There is an at least executable instruction, which can be performed the generation of the user image in above-mentioned any means embodiment Method.
Executable instruction specifically can be used for so that processor executes following operation:
Determine the feature tag of user;
Feature tag according to user determines at least one elements image of user;
At least one elements image according to user generates user image.
In a kind of optional mode, the executable instruction further makes the processor execute following operation:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining the feature tag of user.
In a kind of optional mode, the executable instruction further makes the processor execute following operation:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining group types belonging to user;
Using the feature tag of group types belonging to user as the feature tag of the user.
In a kind of optional mode, the executable instruction further makes the processor execute following operation:
Determine the degree of association between the feature tag of user and preset each elements image;
Using the degree of association between the feature tag of the user be greater than preset degree of association threshold value elements image as The elements image of user.
In a kind of optional mode, the executable instruction also makes the processor execute following operation:
At least one elements image is extracted from least one elements image included by the user image;
User's head portrait is generated according at least one elements image extracted.
In a kind of optional mode, the executable instruction further makes the processor execute following operation:
Colloquial style title is added in the user image or user's head portrait of generation, wherein the colloquial style title is according to use Feature tag associated by the elements image that family image or user's head portrait include determines.
In a kind of optional mode, the executable instruction also makes the processor execute following operation:
If detecting animation acquisition instruction, it is determined that three-dimensional animation or AR associated by the user image or user's head portrait Animation, wherein the animation acquisition instruction is to obtain what operation generated according to the animation to the user image or user's head portrait.
In a kind of optional mode, wherein the three-dimensional animation or AR animation are according to user image and user What reading behavior data generated;Alternatively,
The three-dimensional animation or AR animation are that the resource content read according to user generates.
In a kind of optional mode, the executable instruction also makes the processor execute following operation:
If detecting the resource acquisition instruction including any elements image, it is determined that resource associated by the elements image, Wherein the resource acquisition instruction is grasped according to the resource acquisition to the elements image in the user image or user's head portrait What work generated.
In a kind of optional mode, the executable instruction also makes the processor execute following operation:
Determine the association user of user;
The elements image for including in association user image is pushed to user to select for user;
If detecting, user selects any elements image for including in association user image, pushes image member to user The associated reading task of element.
Further, the invention also discloses the following contents:
A1, a kind of user image generation method, comprising:
Determine the feature tag of user;
Feature tag according to user determines at least one elements image of user;
At least one elements image according to user generates user image.
A2, the method according to a1, wherein determine the feature tag of user, comprising:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining the feature tag of user.
A3, the method according to a1, wherein determine the feature tag of user, comprising:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining group types belonging to user;
Using the feature tag of group types belonging to user as the feature tag of the user.
A4, the method according to a1, wherein the feature tag according to user determines at least one image member of user Element, comprising:
Determine the degree of association between the feature tag of user and preset each elements image;
Using the degree of association between the feature tag of the user be greater than preset degree of association threshold value elements image as The elements image of user.
A5, according to the described in any item methods of a1-a4, wherein according to user at least one elements image generate user After image, further includes:
At least one elements image is extracted from least one elements image included by the user image;
User's head portrait is generated according at least one elements image extracted.
A6, the method according to a5, which is characterized in that
Colloquial style title is added in the user image or user's head portrait of generation, wherein the colloquial style title is according to use Feature tag associated by the elements image that family image or user's head portrait include determines.
A7, the method according to a5 or a6, wherein further include:
If detecting animation acquisition instruction, it is determined that three-dimensional animation or AR associated by the user image or user's head portrait Animation, wherein the animation acquisition instruction is to obtain what operation generated according to the animation to the user image or user's head portrait.
A8, the method according to a7, which is characterized in that the three-dimensional animation or AR animation be according to user image and What the reading behavior data of user generated;Alternatively,
The three-dimensional animation or AR animation are that the resource content read according to user generates.
A9, the method according to a5 or a6, wherein further include:
If detecting the resource acquisition instruction including any elements image, it is determined that resource associated by the elements image, Wherein the resource acquisition instruction is grasped according to the resource acquisition to the elements image in the user image or user's head portrait What work generated.
A10, according to the described in any item methods of a1-a6, wherein according to user at least one elements image generate user After image, further includes:
Determine the association user of user;
The elements image for including in association user image is pushed to user to select for user;
If detecting, user selects any elements image for including in association user image, pushes image member to user The associated reading task of element.
A11, a kind of electronic equipment, comprising: processor, memory, communication interface and communication bus, the processor, institute It states memory and the communication interface completes mutual communication by the communication bus;
For the memory for storing an at least executable instruction, it is following that the executable instruction executes the processor Operation:
Determine the feature tag of user;
Feature tag according to user determines at least one elements image of user;
At least one elements image according to user generates user image.
A12, the electronic equipment according to a11, the executable instruction further make the processor execute following behaviour Make:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining the feature tag of user.
A13, the electronic equipment according to a11, the executable instruction further make the processor execute following behaviour Make:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining group types belonging to user;
Using the feature tag of group types belonging to user as the feature tag of the user.
A14, the electronic equipment according to a11, the executable instruction further make the processor execute following behaviour Make:
Determine the degree of association between the feature tag of user and preset each elements image;
Using the degree of association between the feature tag of the user be greater than preset degree of association threshold value elements image as The elements image of user.
A15, the electronic equipment according to any one of a11-a14, the executable instruction also hold the processor The following operation of row:
At least one elements image is extracted from least one elements image included by the user image;
User's head portrait is generated according at least one elements image extracted.
A16, the electronic equipment according to a15, the executable instruction further make the processor execute following behaviour Make:
Colloquial style title is added in the user image or user's head portrait of generation, wherein the colloquial style title is according to use Feature tag associated by the elements image that family image or user's head portrait include determines.
A17, the electronic equipment according to a15 or a16, the executable instruction also make the processor execute following behaviour Make:
If detecting animation acquisition instruction, it is determined that three-dimensional animation or AR associated by the user image or user's head portrait Animation, wherein the animation acquisition instruction is to obtain what operation generated according to the animation to the user image or user's head portrait.
A18, the electronic equipment according to a17, wherein the three-dimensional animation or AR animation be according to user image and What the reading behavior data of user generated;Alternatively,
The three-dimensional animation or AR animation are that the resource content read according to user generates.
A19, the electronic equipment according to a15 or a16, the executable instruction also make the processor execute following behaviour Make:
If detecting the resource acquisition instruction including any elements image, it is determined that resource associated by the elements image, Wherein the resource acquisition instruction is grasped according to the resource acquisition to the elements image in the user image or user's head portrait What work generated.
A20, the electronic equipment according to any one of a11-a16, the executable instruction also hold the processor The following operation of row:
Determine the association user of user;
The elements image for including in association user image is pushed to user to select for user;
If detecting, user selects any elements image for including in association user image, pushes image member to user The associated reading task of element.
A21, a kind of computer storage medium are stored with an at least executable instruction in the storage medium, described to hold Row instruction makes processor execute following operation:
Determine the feature tag of user;
Feature tag according to user determines at least one elements image of user;
At least one elements image according to user generates user image.
A22, the computer storage medium according to a21, the executable instruction further execute the processor It operates below:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining the feature tag of user.
A23, the computer storage medium according to a21, the executable instruction further execute the processor It operates below:
According in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource at least One kind determining group types belonging to user;
Using the feature tag of group types belonging to user as the feature tag of the user.
A24, the computer storage medium according to a21, the executable instruction further execute the processor It operates below:
Determine the degree of association between the feature tag of user and preset each elements image;
Using the degree of association between the feature tag of the user be greater than preset degree of association threshold value elements image as The elements image of user.
A25, the computer storage medium according to any one of a21-a24, the executable instruction also make the place It manages device and executes following operation:
At least one elements image is extracted from least one elements image included by the user image;
User's head portrait is generated according at least one elements image extracted.
A26, the computer storage medium according to a25, the executable instruction further execute the processor It operates below:
Colloquial style title is added in the user image or user's head portrait of generation, wherein the colloquial style title is according to use Feature tag associated by the elements image that family image or user's head portrait include determines.
A27, the computer storage medium according to a25 or a26, the executable instruction also execute the processor It operates below:
If detecting animation acquisition instruction, it is determined that three-dimensional animation or AR associated by the user image or user's head portrait Animation, wherein the animation acquisition instruction is to obtain what operation generated according to the animation to the user image or user's head portrait.
A28, the computer storage medium according to a27, wherein the three-dimensional animation or AR animation are according to user's shape As and user reading behavior data generate;Alternatively,
The three-dimensional animation or AR animation are that the resource content read according to user generates.
A29, the computer storage medium according to a25 or a26, the executable instruction also execute the processor It operates below:
If detecting the resource acquisition instruction including any elements image, it is determined that resource associated by the elements image, Wherein the resource acquisition instruction is grasped according to the resource acquisition to the elements image in the user image or user's head portrait What work generated.
A30, the computer storage medium according to any one of a21-a26, the executable instruction also make the place It manages device and executes following operation:
Determine the association user of user;
The elements image for including in association user image is pushed to user to select for user;
If detecting, user selects any elements image for including in association user image, pushes image member to user The associated reading task of element.
Algorithm and display are not inherently related to any particular computer, virtual system, or other device provided herein. Various general-purpose systems can also be used together with teachings based herein.As described above, it constructs required by this kind of system Structure be obvious.In addition, the present invention is also not directed to any particular programming language.It should be understood that can use various Programming language realizes summary of the invention described herein, and the description done above to language-specific is to disclose this hair Bright preferred forms.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the present invention and help to understand one or more of the various inventive aspects, Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect Shield the present invention claims features more more than feature expressly recited in each claim.More precisely, as following Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore, Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself All as a separate embodiment of the present invention.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed Meaning one of can in any combination mode come using.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims, Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real It is existing.The use of word first, second, and third does not indicate any sequence.These words can be construed to title.

Claims (10)

1. a kind of user image generation method, comprising:
Determine the feature tag of user;
Feature tag according to user determines at least one elements image of user;
At least one elements image according to user generates user image.
2. according to the method described in claim 1, wherein it is determined that the feature tag of user, comprising:
According at least one in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource Kind, determine the feature tag of user.
3. according to the method described in claim 1, wherein it is determined that the feature tag of user, comprising:
According at least one in the reading behavior data of user, the natural quality of user and the Resource Properties of user's read resource Kind, determine group types belonging to user;
Using the feature tag of group types belonging to user as the feature tag of the user.
4. according to the method described in claim 1, wherein, the feature tag according to user determines at least one image member of user Element, comprising:
Determine the degree of association between the feature tag of user and preset each elements image;
The degree of association between the feature tag of the user is greater than the elements image of preset degree of association threshold value as user Elements image.
5. method according to claim 1-4, wherein at least one elements image according to user generates user After image, further includes:
At least one elements image is extracted from least one elements image included by the user image;
User's head portrait is generated according at least one elements image extracted.
6. according to the method described in claim 5, it is characterized in that,
Colloquial style title is added in the user image or user's head portrait of generation, wherein the colloquial style title is according to user's shape As or user's head portrait include elements image associated by feature tag determine.
7. method according to claim 5 or 6, wherein further include:
If detecting animation acquisition instruction, it is determined that three-dimensional animation associated by the user image or user's head portrait or AR are dynamic It draws, wherein the animation acquisition instruction is to obtain what operation generated according to the animation to the user image or user's head portrait.
8. the method according to the description of claim 7 is characterized in that the three-dimensional animation or AR animation be according to user image with And the reading behavior data generation of user;Alternatively,
The three-dimensional animation or AR animation are that the resource content read according to user generates.
9. a kind of electronic equipment, comprising: processor, memory, communication interface and communication bus, the processor, the storage Device and the communication interface complete mutual communication by the communication bus;
The memory makes the processor execute following behaviour for storing an at least executable instruction, the executable instruction Make:
Determine the feature tag of user;
Feature tag according to user determines at least one elements image of user;
At least one elements image according to user generates user image.
10. a kind of computer storage medium, an at least executable instruction, the executable instruction are stored in the storage medium Processor is set to execute following operation:
Determine the feature tag of user;
Feature tag according to user determines at least one elements image of user;
At least one elements image according to user generates user image.
CN201810892326.8A 2018-08-07 2018-08-07 User image generation method, electronic equipment and computer storage medium Active CN109190019B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810892326.8A CN109190019B (en) 2018-08-07 2018-08-07 User image generation method, electronic equipment and computer storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810892326.8A CN109190019B (en) 2018-08-07 2018-08-07 User image generation method, electronic equipment and computer storage medium

Publications (2)

Publication Number Publication Date
CN109190019A true CN109190019A (en) 2019-01-11
CN109190019B CN109190019B (en) 2019-07-12

Family

ID=64920948

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810892326.8A Active CN109190019B (en) 2018-08-07 2018-08-07 User image generation method, electronic equipment and computer storage medium

Country Status (1)

Country Link
CN (1) CN109190019B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112991020A (en) * 2021-04-14 2021-06-18 南通科技职业学院 Menu generation system based on information of stored articles in refrigerator and refrigerator
CN114866506A (en) * 2022-04-08 2022-08-05 北京百度网讯科技有限公司 Method and device for displaying virtual image and electronic equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105488829A (en) * 2015-11-28 2016-04-13 小米科技有限责任公司 Method and device for generating head portrait
CN105577815A (en) * 2016-01-06 2016-05-11 武汉理工数字传播工程有限公司 Delivery method and delivery system of reading precise delivery system and processor

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105488829A (en) * 2015-11-28 2016-04-13 小米科技有限责任公司 Method and device for generating head portrait
CN105577815A (en) * 2016-01-06 2016-05-11 武汉理工数字传播工程有限公司 Delivery method and delivery system of reading precise delivery system and processor

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112991020A (en) * 2021-04-14 2021-06-18 南通科技职业学院 Menu generation system based on information of stored articles in refrigerator and refrigerator
CN114866506A (en) * 2022-04-08 2022-08-05 北京百度网讯科技有限公司 Method and device for displaying virtual image and electronic equipment

Also Published As

Publication number Publication date
CN109190019B (en) 2019-07-12

Similar Documents

Publication Publication Date Title
Heine et al. Luxury goes digital: how to tackle the digital luxury brand–consumer touchpoints
CN104504133B (en) The recommendation method and device of application program
CN105264462B (en) E-book resource allocation
US20220342645A1 (en) Automated generation of software applications using analysis of submitted content items
US20160320931A1 (en) Career history exercise data visualization
CN107704161A (en) Information displaying method, device and terminal device
CN104484361B (en) Information shows method and device
Devine et al. The digital layer in the museum experience
CN105094775B (en) Webpage generation method and device
GB2587094A (en) System and method for automatically attaching a tag and highlight in a single action
US10762273B2 (en) Comment display method, a comment display system, an electronic device, and a readable storage medium
CN110297980A (en) Methods of exhibiting, device, the server of material
CN109190019B (en) User image generation method, electronic equipment and computer storage medium
US9197592B2 (en) Social network service system, image display method, and computer-readable storage medium
CN108694211B (en) Application distribution method and device
CN111352623B (en) Page generation method and device
CN110717312A (en) Text labeling method and device
US20220394337A1 (en) Artificial intelligence approaches for predicting conversion activity probability scores and key personas for target entities
CN109460523A (en) Method for exhibiting data, device, terminal device and computer storage medium
CN108520508B (en) User image optimization method, calculating equipment and storage medium based on user behavior
Steane et al. Interaction design: From concept to completion
CN108596675A (en) Advertisement sending method and device
CN109165345B (en) Transition animation generation method, electronic device and computer storage medium
Quadir et al. CellBazaar: A market in your pocket
CN109190037B (en) User preference feature acquisition method and computing device for e-book recommendation

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
GR01 Patent grant
GR01 Patent grant