CN102662950A - Active advertisement generation method based on Internet picture - Google Patents
Active advertisement generation method based on Internet picture Download PDFInfo
- Publication number
- CN102662950A CN102662950A CN2012100477295A CN201210047729A CN102662950A CN 102662950 A CN102662950 A CN 102662950A CN 2012100477295 A CN2012100477295 A CN 2012100477295A CN 201210047729 A CN201210047729 A CN 201210047729A CN 102662950 A CN102662950 A CN 102662950A
- Authority
- CN
- China
- Prior art keywords
- picture
- advertisement
- database
- advertising
- image
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000008569 process Effects 0.000 claims abstract description 14
- 239000000284 extract Substances 0.000 claims description 14
- 230000008878 coupling Effects 0.000 claims description 9
- 238000010168 coupling process Methods 0.000 claims description 9
- 238000005859 coupling reaction Methods 0.000 claims description 9
- 201000011243 gastrointestinal stromal tumor Diseases 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 244000188472 Ilex paraguariensis Species 0.000 claims description 2
- 230000000295 complement effect Effects 0.000 claims description 2
- 238000000605 extraction Methods 0.000 claims description 2
- 239000000463 material Substances 0.000 claims description 2
- 230000002452 interceptive effect Effects 0.000 abstract description 4
- 230000003068 static effect Effects 0.000 abstract description 4
- 230000010354 integration Effects 0.000 abstract description 2
- 238000012795 verification Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000012467 final product Substances 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000006071 cream Substances 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000005206 flow analysis Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses an active advertisement generation method based on Internet pictures, belonging to the fields of image identification and computer software system integration. The generation method comprises a first step of setting a picture database, an advertisement database, an image feature database, and a picture-advertisement correspondence database, and sending to a background server feature codes, webpage URL information and picture URL information exclusive to the website when a webpage is loaded by a user browser; and a second step that the server process uses hash algorithm to judge whether the picture exists in the picture database according to the picture URL information, sending a corresponding advertisement to the browser if the picture exists in the picture database; and taking a different step to generate an advertisement for the picture if not. The generation method introduces static pictures into interactive content and makes full use of pictures already existed in various big websites, which makes social shopping based on rich media network advertisements and socialization be integrated with e-commerce with personalized recommendation, and makes advertisements extend from on-line stores to pictures of other websites.
Description
Technical field
The present invention relates to a kind of generation method of the active advertisement based on the internet picture, belong to field of image recognition and computer software integration field.
Background technology
With respect to literal, picture can provide more directly perceived and vivid content.At present on the internet a large amount of picture mainly as the supporting explanation of literal, and amateurish advertisement.And special display advertising is mainly used in the product of showing certain brand, and location advertising is less, and function is comparatively single.
In a width of cloth picture, it is a lot of to can be used for the resource that advertisement shows, for example model's clothing, cap, hair fastener, sunglasses, earrings, necklace, brooch, ring, knapsack can be as advertisement content.Be integrated in numerous ad contents among one pictures, can greatly satisfy the consumption demand of different user.
Active advertisement is meant that the user initiatively participates in, but not banner (banner), pop-up ad and the Interstitial Ad etc. of insertion are forced in the website, and active advertisement can greatly improve the conversion ratio of the web advertisement, improves the user experience of advertisement.
The objective of the invention is to become the interactively dynamic rich media that has advertisement to existing picture on each big website, forum and the blog; The user can browse wherein interested content, and the generative process of advertisement has no influence to user's internet behavior and networking speed.
Summary of the invention
Technical matters to be solved by this invention is to introduce interactive content to static images to supply user's active operation; Among the advertisement that makes the advertiser extends to the photo and video of other websites from their on-line shop; Need not to revise procedure site and on-line shop's picture database content simultaneously, a kind of generation method of the active advertisement based on the internet picture is provided.
The present invention adopts following technical scheme for solving the problems of the technologies described above:
A kind of generation method of the active advertisement based on the internet picture comprises that step is following:
Steps A; Active advertisement background data base is set in background server; Said active advertisement background data base comprises picture database, advertising database, characteristics of image storehouse, display advertising corresponding relation storehouse; The picture material that comprises picture in the said picture database comprises various advertising messages in the said advertising database; Said characteristics of image storehouse is used for the concrete characteristic that the document image content comprises, the corresponding relation of one-to-many between said display advertising corresponding relation storehouse recordable picture and the advertisement;
Step B, revise the web page template of website: partly insert the condition code of exclusive this website at the body of web page template, the webpage that makes with good grounds this web page template of institute generate all comprises this condition code, and this condition code writes down in background server;
Step C; When the webpage of handling through step B is loaded by user browser; Information extraction webpage url information according to browser address bar; Extract picture url information through reading the web page files source code, condition code, webpage url information and the picture url information with this website sends to background server then;
After step D, server processes receive the information that browser sends, judge at first whether the condition code of this website of writing down in site information and the background server in the webpage url information matees, if do not match then withdraw from; If coupling; Then according to picture url information; Use hash algorithm to judge whether this picture exists in picture database: as existing; Then, from advertising database, extract the correspondent advertisement information push to user browser, otherwise get into step e according to the picture of display advertising corresponding relation storehouse record and the corresponding relation of advertisement;
Step e is downloaded picture file according to picture url information from Internet, and is saved in picture database;
Step F is carried out image recognition to the picture file content of obtaining based on GIST global characteristics and SIFT local feature, and is set up the position sensing Hash, and this picture and other pictures that are kept at picture database are carried out quick duplicate detection; If exist the image content of repetition, then duplicate the image feature information of this picture, jump to step H; Otherwise, get into next step;
Step G is transported to the image classification device with the picture file circulation, extracts all images characteristic information of this picture; Then the image feature information that extracts is saved to the characteristics of image storehouse;
Step H carries out full-text search according to image feature information to advertising database, accomplishes the coupling of image feature information and advertising message, and matching result is saved to display advertising corresponding relation storehouse.
Further, the generation method of the active advertisement based on the internet picture of the present invention before step H carries out, also comprises according to current advertising theme and ad content, in advertising database, sets the step of advertising message scope; In step H, adopt image feature information according to the advertising message scope of setting, advertising database is carried out full-text search, accomplish coupling.
Further, the generation method of the active advertisement based on the internet picture of the present invention also is included in the step of recording user behavior in the background server; Promptly after the advertising message that is complementary with picture is loaded by user browser, write down the number of times that this advertising message is loaded, the number of times of being clicked.
Further, the generation method of the active advertisement based on the internet picture of the present invention, the advertising message described in the steps A in the advertising database is provided by the website using background data base of commodity provider.
The technical scheme that the present invention adopts has following effect:
The present invention introduces interactive content to static images, and the user only need move to picture with mouse can present advertisement, clicks the particular content that advertisement just can browse to advertisement.
The present invention makes Rich Media's web advertisement and society turn to social shopping and ecommerce (especially B2C) weave in of personalized recommendation on basis, lets among advertiser's advertisement extends to the picture of other websites from their on-line shop.
Description of drawings
Fig. 1 is a system flowchart of the present invention.
Fig. 2 is user's operation chart of the present invention.
Embodiment
Below in conjunction with accompanying drawing technical scheme of the present invention is done further detailed description:
As shown in Figure 1, overall flow of the present invention comprises that website preparation, user's operation, setting advertisement scope, advertisement pushing or advertisement generate four key links, and wherein the advertisement generation is a core link of the present invention.Advertisement generate comprised that picture obtains, image recognition, generation match advertisements, user behavior record, five key steps of manual examination and verification.Be elaborated respectively below in conjunction with accompanying drawing:
Prepare the website:
The main program code that need not to revise the website in website; Only need to revise the web page template of website; Partly insert the code of customization at the body of template; The condition code (different website master's condition codes is inequality) that has comprised the website master in the custom code, the webpage that generates of with good grounds template will comprise custom code automatically.When webpage is loaded by user browser; Custom code according to the information extraction webpage url of browser address bar, read the web page files source code and extract picture url (undersized picture is with disallowable), condition code, webpage url and the picture url with the website master sends to server then.Server processes will be according to these Information Authentication website owner identifications, carry out picture searching or picture downloads, generates advertisement or pushed advertisement.
User's operation:
User's operation has no difference with the normal net operation of going up, and the user only needs open any browser and imports network address, and advertisement will be loaded on the picture automatically.After advertisement was loaded, the user moved to picture with mouse, and many parts of advertisement meetings are appeared in one's mind automatically, clicked advertisement and can see and browse detailed content that mouse is removed back advertisement meeting and disappeared automatically.
Set the advertisement scope:
Can set the advertisement scope according to website master's requirement, if reduce the scope of coupling, the speed that generates advertisement can be accelerated, and number of ads can reduce, and the purpose of advertisement and specific aim can be stronger.
Advertisement pushing or advertisement generate:
Steps A, picture obtain:
Server processes receive the information that custom code sends, and accomplish following function: judge according to webpage url and website master's condition code whether webpage derives from the legitimate site master; According to url search matched record in picture library of picture, find matched record after, extract match advertisements through search pictures advertisement corresponding relation storehouse and advertisement base and push to user browser; If in picture library, do not search matched record, then the url according to picture goes up direct download pictures from Internet, supplies the image recognition process that image content is discerned, and simultaneously picture is saved to picture database.
1. server processes judge whether site information and website master's condition code among the webpage url mate, if the explanation webpage that matches is not to derive from the legitimate site master, the steps below all can not carried out.If web page source is in the legitimate site master; Then according to picture url; Use hash algorithm to judge whether picture exists in picture library, then from advertisement base, extract the correspondent advertisement information push to user browser according to the corresponding relation of picture that writes down in the display advertising corresponding relation storehouse and advertisement like existence.Otherwise carry out step 2.;
2. download picture file according to picture url from Internet, and picture is saved in picture library;
According to picture url; If can in picture library, search matched record, explain that this webpage was once visited, these pictures have all generated match advertisements; Server processes extract search pictures advertisement corresponding relation storehouse and advertisement base match advertisements and push to user browser.Do not visited first and search this webpage of matched record explanation, corresponding picture all needs to download from Internet, generates match advertisements through the following step then, and in this process, because match advertisements does not generate as yet, browser can carrying advertisement information.
Step B, image recognition:
The effect of image recognition process is to extract image feature information and is saved to the characteristics of image storehouse.Because picture possibly reprinted by different website, so exist identical but the picture that url is different of a large amount of contents on the Internet.The image recognition process at first judges in picture library, whether to exist same image, if having then duplicating image characteristic information and be saved to the characteristics of image storehouse, otherwise image is delivered to the image classification device, and the characteristic information that extracts image is saved to the characteristics of image storehouse.
3. the picture file content of obtaining is carried out image recognition,, and set up the position sensing Hash, image and other images that are kept at picture library are carried out quick duplicate detection based on GIST global characteristics and SIFT local feature.If exist the picture material of repetition; Duplicating image characteristic information and be saved to the characteristics of image storehouse then; Jump to
, otherwise carry out step
;
5. image is transported to other image classification devices; Repeating step
all disposes up to all image classification devices;
Sorter can be classified and extracts concrete characteristic information image.For example for the characteristic of people's face; Image is extracted the Hash-like characteristic concurrently; Be transported to people's face sorter; If there is people's face to exist in the image, the concrete characteristic (position, color etc.) of people's various organs (face, nose, eyes etc.) on the face will be extracted so, will produce advertisements such as corresponding lipstick, face cream, sunglasses according to these information search advertisement base.The characteristic type that different sorters can be handled has nothing in common with each other, and for example pedestrian's sorter need extract the HOG characteristic, and sex, age and scene classification device need extract the GIST characteristic.Possibly comprise the polytype characteristic in the piece image, treat that all sorters dispose after, concrete characteristics all in the image are extracted and are saved to the characteristics of image storehouse.
Step C, generation match advertisements:
The quantity of the match advertisements that generates is relevant with website master's requirement with content; Different website masters; Perhaps same website master is the advertisement that promote mainly different periods different (realizing through " setting the advertisement scope "), and the match advertisements that same image content loads at different times may be different on number of ads and ad content.But always in store complete characteristic information in the characteristics of image storehouse has been practiced thrift the time when generating advertisement for the image that repeats later on.
Step D, user behavior record:
User's behavior write down can analyze the effect that advertisement produces, the user behavior of record comprises loading number of times, the number of times that mouse moves to picture of advertisement and clicks the number of times of advertisement.
After
match advertisements is loaded by browser; For all operations of picture, the number of times that comprises the loading number of times of advertisement, number of times that mouse moves to picture and click advertisement will be sent to user behavior record database;
The operation behavior of
flow analysis process statistics of user's;
When
surpasses the threshold values of setting to the operation of picture, submit manual examination and verification to;
Step e: manual examination and verification:
The purpose of manual examination and verification is to check whether corresponding ad content with the picture coupling is correct, and can revise.Following two kinds of situation take place will carry out manual examination and verification: the picture that can't generate match advertisements; Operation to picture surpasses the threshold values of setting.
Detailed step through above flow process is described, and can find in the process that match advertisements generates, and the website is main to need not to revise procedure site, only needs to revise webpage and generates template and get final product; The generative process of advertisement has no influence to user's internet behavior and networking speed.The advertisement that generates is active advertisement, and whether the user can select browse advertisements voluntarily, and the action of user's browse advertisements is very simple, only needs that mouse is moved to picture and gets final product, and specific operation process is as shown in Figure 2.
The present invention makes full use of existing picture on each big website, forum and the blog; Introduce interactive content to static images; Make Rich Media's web advertisement and turn to social shopping and ecommerce (especially B2C) weave in of personalized recommendation on basis, let among advertiser's advertisement extends to the picture of other websites from their on-line shop with society.
Claims (4)
1. the generation method based on the active advertisement of internet picture is characterized in that, comprises that step is following:
Steps A; Active advertisement background data base is set in background server; Said active advertisement background data base comprises picture database, advertising database, characteristics of image storehouse, display advertising corresponding relation storehouse; The picture material that comprises picture in the said picture database comprises various advertising messages in the said advertising database; Said characteristics of image storehouse is used for the concrete characteristic that the document image content comprises, the corresponding relation of one-to-many between said display advertising corresponding relation storehouse recordable picture and the advertisement;
Step B, revise the web page template of website: partly insert the condition code of exclusive this website at the body of web page template, the webpage that makes with good grounds this web page template of institute generate all comprises this condition code, and this condition code writes down in background server;
Step C; When the webpage of handling through step B is loaded by user browser; Information extraction webpage url information according to browser address bar; Extract picture url information through reading the web page files source code, condition code, webpage url information and the picture url information with this website sends to background server then;
After step D, server processes receive the information that browser sends, judge at first whether the condition code of this website of writing down in site information and the background server in the webpage url information matees, if do not match then withdraw from; If coupling; Then according to picture url information; Use hash algorithm to judge whether this picture exists in picture database: as existing; Then, from advertising database, extract the correspondent advertisement information push to user browser, otherwise get into step e according to the picture of display advertising corresponding relation storehouse record and the corresponding relation of advertisement;
Step e is downloaded picture file according to picture url information from Internet, and is saved in picture database;
Step F is carried out image recognition to the picture file content of obtaining based on GIST global characteristics and SIFT local feature, and is set up the position sensing Hash, and this picture and other pictures that are kept at picture database are carried out quick duplicate detection; If exist the image content of repetition, then duplicate the image feature information of this picture, jump to step H; Otherwise, get into next step;
Step G is transported to the image classification device with the picture file circulation, extracts all images characteristic information of this picture; Then the image feature information that extracts is saved to the characteristics of image storehouse;
Step H carries out full-text search according to image feature information to advertising database, accomplishes the coupling of image feature information and advertising message, and matching result is saved to display advertising corresponding relation storehouse.
2. the generation method of the active advertisement based on the internet picture according to claim 1 is characterized in that, before step H carries out, also comprises according to current advertising theme and ad content, in advertising database, sets the step of advertising message scope; In step H, adopt image feature information according to the advertising message scope of setting, advertising database is carried out full-text search, accomplish coupling.
3. the generation method of the active advertisement based on the internet picture according to claim 1 is characterized in that, also is included in the step of recording user behavior in the background server; Promptly after the advertising message that is complementary with picture is loaded by user browser, write down the number of times that this advertising message is loaded, the number of times of being clicked.
4. the generation method of the active advertisement based on the internet picture according to claim 1 is characterized in that the advertising message described in the steps A in the advertising database is provided by the website using background data base of commodity provider.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210047729.5A CN102662950B (en) | 2012-02-29 | 2012-02-29 | Active advertisement generation method based on Internet picture |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210047729.5A CN102662950B (en) | 2012-02-29 | 2012-02-29 | Active advertisement generation method based on Internet picture |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102662950A true CN102662950A (en) | 2012-09-12 |
| CN102662950B CN102662950B (en) | 2014-11-05 |
Family
ID=46772441
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210047729.5A Active CN102662950B (en) | 2012-02-29 | 2012-02-29 | Active advertisement generation method based on Internet picture |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102662950B (en) |
Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103064874A (en) * | 2012-10-26 | 2013-04-24 | 北京奇虎科技有限公司 | Method for acquiring webpage quality data, browser and server |
| CN103064873A (en) * | 2012-10-26 | 2013-04-24 | 北京奇虎科技有限公司 | Webpage quality data obtaining method and system |
| CN103856490A (en) * | 2012-11-28 | 2014-06-11 | 纽海信息技术（上海）有限公司 | Shopping website accessed by multiple network speed |
| CN103971244A (en) * | 2013-01-30 | 2014-08-06 | 阿里巴巴集团控股有限公司 | Commodity information issuing and browsing method, device and system |
| US20140325662A1 (en) * | 2013-03-15 | 2014-10-30 | ZeroFOX Inc | Protecting against suspect social entities |
| US9027134B2 (en) | 2013-03-15 | 2015-05-05 | Zerofox, Inc. | Social threat scoring |
| US9055097B1 (en) | 2013-03-15 | 2015-06-09 | Zerofox, Inc. | Social network scanning |
| CN105095498A (en) * | 2015-08-24 | 2015-11-25 | 北京旷视科技有限公司 | Information processing method and device |
| CN105117463A (en) * | 2015-08-24 | 2015-12-02 | 北京旷视科技有限公司 | Information processing method and information processing device |
| CN105160561A (en) * | 2015-09-30 | 2015-12-16 | 北京中搜网络技术股份有限公司 | Situational picture advertising method and apparatus |
| CN105630872A (en) * | 2015-12-16 | 2016-06-01 | 北京奇虎科技有限公司 | Browser, method and system for realizing pop-up prompt window |
| CN105874449A (en) * | 2013-11-08 | 2016-08-17 | 谷歌公司 | Systems and methods for extracting and generating images for display content |
| US9544325B2 (en) | 2014-12-11 | 2017-01-10 | Zerofox, Inc. | Social network security monitoring |
| US9674212B2 (en) | 2013-03-15 | 2017-06-06 | Zerofox, Inc. | Social network data removal |
| US9674214B2 (en) | 2013-03-15 | 2017-06-06 | Zerofox, Inc. | Social network profile data removal |
| CN107909385A (en) * | 2017-10-16 | 2018-04-13 | 微梦创科网络科技（中国）有限公司 | A kind of active advertisement intention realization method and system based on microblog users |
| CN108021417A (en) * | 2016-11-01 | 2018-05-11 | 阿里巴巴集团控股有限公司 | The processing method and processing device of page banner element |
| CN109509013A (en) * | 2018-08-14 | 2019-03-22 | 广东长宝信息科技股份有限公司 | A kind of mobile terminal device pushes away the method for broadcasting image information |
| CN109599039A (en) * | 2019-01-11 | 2019-04-09 | 张凯 | A kind of method and system playing e-advertising |
| US10516567B2 (en) | 2015-07-10 | 2019-12-24 | Zerofox, Inc. | Identification of vulnerability to social phishing |
| US10868824B2 (en) | 2017-07-31 | 2020-12-15 | Zerofox, Inc. | Organizational social threat reporting |
| CN112906696A (en) * | 2021-05-06 | 2021-06-04 | 北京惠朗时代科技有限公司 | English image region identification method and device |
| US11134097B2 (en) | 2017-10-23 | 2021-09-28 | Zerofox, Inc. | Automated social account removal |
| US11165801B2 (en) | 2017-08-15 | 2021-11-02 | Zerofox, Inc. | Social threat correlation |
| US11256812B2 (en) | 2017-01-31 | 2022-02-22 | Zerofox, Inc. | End user social network protection portal |
| US11394722B2 (en) | 2017-04-04 | 2022-07-19 | Zerofox, Inc. | Social media rule engine |
| US11403400B2 (en) | 2017-08-31 | 2022-08-02 | Zerofox, Inc. | Troll account detection |
| US11418527B2 (en) | 2017-08-22 | 2022-08-16 | ZeroFOX, Inc | Malicious social media account identification |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1376996A (en) * | 2001-03-27 | 2002-10-30 | 国际商业机器公司 | Server and method for loading advertisement on web-pages, web-pages display device and method |
| US6654725B1 (en) * | 1998-11-09 | 2003-11-25 | Nec Corporation | System and method for providing customized advertising on the World Wide Web |
| CN101558421A (en) * | 2006-12-12 | 2009-10-14 | 雅虎公司 | Smart advertisement generating system |
-
2012
- 2012-02-29 CN CN201210047729.5A patent/CN102662950B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6654725B1 (en) * | 1998-11-09 | 2003-11-25 | Nec Corporation | System and method for providing customized advertising on the World Wide Web |
| CN1376996A (en) * | 2001-03-27 | 2002-10-30 | 国际商业机器公司 | Server and method for loading advertisement on web-pages, web-pages display device and method |
| CN101558421A (en) * | 2006-12-12 | 2009-10-14 | 雅虎公司 | Smart advertisement generating system |
Cited By (39)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103064874A (en) * | 2012-10-26 | 2013-04-24 | 北京奇虎科技有限公司 | Method for acquiring webpage quality data, browser and server |
| CN103064873A (en) * | 2012-10-26 | 2013-04-24 | 北京奇虎科技有限公司 | Webpage quality data obtaining method and system |
| CN103064874B (en) * | 2012-10-26 | 2016-08-03 | 北京奇虎科技有限公司 | Obtain the method for web page quality data and browser and server |
| CN103856490A (en) * | 2012-11-28 | 2014-06-11 | 纽海信息技术（上海）有限公司 | Shopping website accessed by multiple network speed |
| CN103971244A (en) * | 2013-01-30 | 2014-08-06 | 阿里巴巴集团控股有限公司 | Commodity information issuing and browsing method, device and system |
| US10043199B2 (en) | 2013-01-30 | 2018-08-07 | Alibaba Group Holding Limited | Method, device and system for publishing merchandise information |
| US20140325662A1 (en) * | 2013-03-15 | 2014-10-30 | ZeroFOX Inc | Protecting against suspect social entities |
| US9191411B2 (en) * | 2013-03-15 | 2015-11-17 | Zerofox, Inc. | Protecting against suspect social entities |
| US9055097B1 (en) | 2013-03-15 | 2015-06-09 | Zerofox, Inc. | Social network scanning |
| US9027134B2 (en) | 2013-03-15 | 2015-05-05 | Zerofox, Inc. | Social threat scoring |
| US9674212B2 (en) | 2013-03-15 | 2017-06-06 | Zerofox, Inc. | Social network data removal |
| US9674214B2 (en) | 2013-03-15 | 2017-06-06 | Zerofox, Inc. | Social network profile data removal |
| CN105874449A (en) * | 2013-11-08 | 2016-08-17 | 谷歌公司 | Systems and methods for extracting and generating images for display content |
| CN105874449B (en) * | 2013-11-08 | 2019-05-31 | 谷歌有限责任公司 | System and method for extracting and generating images for displaying content |
| US10491623B2 (en) | 2014-12-11 | 2019-11-26 | Zerofox, Inc. | Social network security monitoring |
| US9544325B2 (en) | 2014-12-11 | 2017-01-10 | Zerofox, Inc. | Social network security monitoring |
| US10999130B2 (en) | 2015-07-10 | 2021-05-04 | Zerofox, Inc. | Identification of vulnerability to social phishing |
| US10516567B2 (en) | 2015-07-10 | 2019-12-24 | Zerofox, Inc. | Identification of vulnerability to social phishing |
| US10679252B2 (en) | 2015-08-24 | 2020-06-09 | Beijing Kuangshi Technology Co., Ltd. | Information processing method and information processing apparatus |
| CN105095498A (en) * | 2015-08-24 | 2015-11-25 | 北京旷视科技有限公司 | Information processing method and device |
| CN105117463A (en) * | 2015-08-24 | 2015-12-02 | 北京旷视科技有限公司 | Information processing method and information processing device |
| CN105117463B (en) * | 2015-08-24 | 2019-08-06 | 北京旷视科技有限公司 | Information processing method and information processing device |
| CN105160561A (en) * | 2015-09-30 | 2015-12-16 | 北京中搜网络技术股份有限公司 | Situational picture advertising method and apparatus |
| CN105630872B (en) * | 2015-12-16 | 2019-02-12 | 北京奇虎科技有限公司 | Browser, method and system for realizing pop-up prompt window |
| CN105630872A (en) * | 2015-12-16 | 2016-06-01 | 北京奇虎科技有限公司 | Browser, method and system for realizing pop-up prompt window |
| CN108021417B (en) * | 2016-11-01 | 2022-02-18 | 阿里巴巴集团控股有限公司 | Method and device for processing banner elements of pages |
| CN108021417A (en) * | 2016-11-01 | 2018-05-11 | 阿里巴巴集团控股有限公司 | The processing method and processing device of page banner element |
| US11256812B2 (en) | 2017-01-31 | 2022-02-22 | Zerofox, Inc. | End user social network protection portal |
| US11394722B2 (en) | 2017-04-04 | 2022-07-19 | Zerofox, Inc. | Social media rule engine |
| US10868824B2 (en) | 2017-07-31 | 2020-12-15 | Zerofox, Inc. | Organizational social threat reporting |
| US11165801B2 (en) | 2017-08-15 | 2021-11-02 | Zerofox, Inc. | Social threat correlation |
| US11418527B2 (en) | 2017-08-22 | 2022-08-16 | ZeroFOX, Inc | Malicious social media account identification |
| US11403400B2 (en) | 2017-08-31 | 2022-08-02 | Zerofox, Inc. | Troll account detection |
| CN107909385A (en) * | 2017-10-16 | 2018-04-13 | 微梦创科网络科技（中国）有限公司 | A kind of active advertisement intention realization method and system based on microblog users |
| US11134097B2 (en) | 2017-10-23 | 2021-09-28 | Zerofox, Inc. | Automated social account removal |
| CN109509013A (en) * | 2018-08-14 | 2019-03-22 | 广东长宝信息科技股份有限公司 | A kind of mobile terminal device pushes away the method for broadcasting image information |
| CN109509013B (en) * | 2018-08-14 | 2023-08-15 | 广东长宝信息科技股份有限公司 | Method for pushing image information by mobile terminal equipment |
| CN109599039A (en) * | 2019-01-11 | 2019-04-09 | 张凯 | A kind of method and system playing e-advertising |
| CN112906696A (en) * | 2021-05-06 | 2021-06-04 | 北京惠朗时代科技有限公司 | English image region identification method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102662950B (en) | 2014-11-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102662950B (en) | Active advertisement generation method based on Internet picture | |
| KR102533972B1 (en) | Video Ingest Framework for Visual Search Platform | |
| Zhang et al. | Object-level video advertising: an optimization framework | |
| TWI502526B (en) | Targeted ad system using metadata | |
| WO2019171128A1 (en) | In-media and with controls advertisement, ephemeral, actionable and multi page photo filters on photo, automated integration of external contents, automated feed scrolling, template based advertisement post and actions and reaction controls on recognized objects in photo or video | |
| CN103885951B (en) | A method and device for placing and generating graphic information | |
| CN104991917A (en) | Personalized advertisement pushing system and method | |
| US20230214895A1 (en) | Methods and systems for product discovery in user generated content | |
| KR20180120571A (en) | System for social network service marketing using influencer | |
| US9449231B2 (en) | Computerized systems and methods for generating models for identifying thumbnail images to promote videos | |
| US20250298837A1 (en) | Methods and systems for dynamic content provisioning | |
| US20230030560A1 (en) | Methods and systems for tagged image generation | |
| WO2008048531A2 (en) | User generated style content | |
| KR102102572B1 (en) | System and method for providing online shopping mall | |
| KR102062248B1 (en) | Method for advertising releated commercial image by analyzing online news article image | |
| KR20210045851A (en) | Recording medium for recording fashion content platform service program | |
| Siltanen et al. | Augmented reality enriches hybrid media | |
| Mena | Data mining mobile devices | |
| KR20210045663A (en) | A program for providing virtual fashion experience contents service | |
| CN104951444A (en) | Search method and device | |
| KR20210045659A (en) | Program for virtual fashion item interface management | |
| KR20210045793A (en) | A system for AR/VR based interactive fashion content service platform | |
| KR20210045850A (en) | Method for AR/VR-based Interactive Fashion Content Platform Service | |
| KR20210045808A (en) | System for Interactive Content Service Platform based on Virtual Fashion Items | |
| KR102471490B1 (en) | Digital closet building system and digital closet building method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |