CN111263203A - Video advertisement push priority analysis system - Google Patents
Video advertisement push priority analysis system Download PDFInfo
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- CN111263203A CN111263203A CN202010126652.5A CN202010126652A CN111263203A CN 111263203 A CN111263203 A CN 111263203A CN 202010126652 A CN202010126652 A CN 202010126652A CN 111263203 A CN111263203 A CN 111263203A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 40
- 238000012163 sequencing technique Methods 0.000 claims abstract description 11
- 238000012544 monitoring process Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000010586 diagram Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 235000002595 Solanum tuberosum Nutrition 0.000 description 1
- 244000061456 Solanum tuberosum Species 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000007711 solidification Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/2668—Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26208—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists the scheduling operation being performed under constraints
- H04N21/26241—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists the scheduling operation being performed under constraints involving the time of distribution, e.g. the best time of the day for inserting an advertisement or airing a children program
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/812—Monomedia components thereof involving advertisement data
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Marketing (AREA)
- Databases & Information Systems (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a video advertisement push priority analysis system, which comprises: the duration analysis equipment is used for counting the playing duration of each pop-up advertisement picture on the video playing picture before the pop-up advertisement picture is closed by a user; the data monitoring equipment is connected with the duration analysis equipment and is used for counting the average playing duration of each pop-up advertisement picture based on the playing duration of each pop-up advertisement picture and the advertisement type; and the sequencing statistic equipment is connected with the data monitoring equipment and is used for sequencing the pushing priority of the pop-up advertisement pictures of various advertisement types based on each average playing time length of the pop-up advertisement pictures of various advertisement types. The video advertisement push priority analysis system is reliable in principle and stable in operation. The type and the playing position of the video advertisement are selected in a self-adaptive manner according to the watching requirements of the video user, so that the playing effectiveness of the video advertisement is improved.
Description
Technical Field
The invention relates to the field of advertisement pushing, in particular to a video advertisement pushing priority analysis system.
Background
Video advertisements refer to a pattern of video breaks that occur within a mobile device. Video advertisements are classified into two categories, conventional video advertisements and mobile video advertisements. The traditional video advertisement refers to the setting and putting of advertisements in a video, and the mobile video advertisement refers to the video insertion mode in a mobile device (such as a mobile phone, a PSP, a tablet computer and the like).
For enterprises in the traditional industry, due to the fact that the development difficulty of the video management platform is high, a technical team cannot be specially engaged to develop the video management platform. In order to save trouble, an administrator of an enterprise website generally uploads a promotional video of an enterprise to a socialized sharing website such as Youko or potato, and then leads the uploaded video link back to the enterprise website for playing.
At present, the mode of video advertisement broadcast is too solidification, does not consider current user to the different hobbies of advertisement and carry out the broadcast of video advertisement according to predetermineeing the popularization mode, and the broadcast position of video advertisement can influence video important content sometimes simultaneously to lead to the user to frequently close the video advertisement, when influencing advertisement broadcast effect, watch for user's video and cause abominable visual influence.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a video advertisement push priority analysis system which can determine the play priority of different types of video advertisements according to the historical play duration of the different types of video advertisements, and can automatically select the play area of the video advertisements to avoid blocking the sight of a video user.
Therefore, the invention needs to have the following key invention points:
(1) playing the playing priority of the various types of video advertisements based on the statistical result of the historical continuous playing duration of the various types of video advertisements so as to improve the playing effectiveness of the video advertisements;
(2) the important area in the current video playing picture is used as an advertisement no-playing area, and other areas are used as advertisement playing areas, so that the normal watching of a video user is not influenced.
According to an aspect of the present invention, there is provided a video advertisement push priority analysis system, the system comprising:
the duration analysis equipment is used for counting the playing duration of each pop-up advertisement picture on the video playing picture before the pop-up advertisement picture is closed by a user;
the data monitoring equipment is connected with the duration analysis equipment and is used for counting the average playing duration of each pop-up advertisement picture based on the playing duration of each pop-up advertisement picture and the advertisement type;
the sequencing statistic equipment is connected with the data monitoring equipment and is used for sequencing the pushing priority of the pop-up advertisement pictures of various advertisement types based on each average playing time length of the pop-up advertisement pictures of various advertisement types;
the advertisement pushing equipment is connected with the sequencing statistic equipment and is used for carrying out sequential pushing operation on a plurality of pop-up advertisement pictures which need to be pushed currently based on the pushing priority of the pop-up advertisement pictures of various advertisement types;
the field positioning equipment is used for acquiring a current video playing picture, and identifying a foreground area and a background area of the current video playing picture so as to take the background area of the current video playing picture as an advertisement pushing area;
the picture processing device is respectively connected with the advertisement pushing device and the field positioning device and is used for randomly superposing and playing pop-up advertisement pictures currently pushed by the advertisement pushing device at each position of the advertisement pushing area acquired by the field positioning device;
wherein, in the sorting statistic device, the shorter the average playing time is, the lower the push priority of the pop-up advertisement picture corresponding to the advertisement type is;
the step of counting the average playing time of each pop-up advertisement based on the playing time of each pop-up advertisement picture and the advertisement type comprises the following steps: and carrying out arithmetic mean calculation on the playing time lengths of all pop-up advertisement pictures which are played in the history of each advertisement type, and taking the calculation result as the average playing time length of the pop-up advertisements of the advertisement type.
The video advertisement push priority analysis system is reliable in principle and stable in operation. The type and the playing position of the video advertisement are selected in a self-adaptive manner according to the watching requirements of the video user, so that the playing effectiveness of the video advertisement is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a diagram of an application scenario of a video advertisement push priority analysis system according to the present invention.
Fig. 2 is a block diagram showing a configuration of a video advertisement push priority analysis system according to a first embodiment of the present invention.
Fig. 3 is a flowchart illustrating steps of a video advertisement push priority analysis method according to a second embodiment of the present invention.
Detailed Description
An embodiment of the video advertisement push priority analysis system of the present invention will be described in detail below with reference to the accompanying drawings.
Currently, video advertisements are the most important economic income of video providers, and generally, video providers customize various types of video advertisements for each video file, however, some types of video advertisements are not favored by current video users, and in addition, the playing positions of some video advertisements on the playing picture of the video file can influence the visual field normally watched by the current video users.
In order to overcome the defects, the invention builds a video advertisement push priority analysis system, and can effectively solve the corresponding technical problem.
Fig. 1 is a diagram of an application scenario of the video advertisement push priority analysis system according to the present invention.
The system comprises a display device, a mounting frame, a display unit, an advertisement pushing device, a sorting and counting device, a field positioning device and a picture processing device, wherein 1 is the display device for playing videos and video advertisements, 7 is the mounting frame for fixing the display device, 6 is each display unit forming a display screen of the display device, and 3, 4, 5 and 6 are the advertisement pushing device, the sorting and counting device, the field positioning device and the picture processing device for analyzing the content of the video advertisements.
Subsequently, the technical contents of the present invention will be further described and explained by using a plurality of embodiments.
< first embodiment >
Fig. 2 is a block diagram showing a configuration of a video advertisement push priority analysis system according to a first embodiment of the present invention, the system including:
the duration analysis equipment is used for counting the playing duration of each pop-up advertisement picture on the video playing picture before the pop-up advertisement picture is closed by a user;
the data monitoring equipment is connected with the duration analysis equipment and is used for counting the average playing duration of each pop-up advertisement picture based on the playing duration of each pop-up advertisement picture and the advertisement type;
the sequencing statistic equipment is connected with the data monitoring equipment and is used for sequencing the pushing priority of the pop-up advertisement pictures of various advertisement types based on each average playing time length of the pop-up advertisement pictures of various advertisement types;
the advertisement pushing equipment is connected with the sequencing statistic equipment and is used for carrying out sequential pushing operation on a plurality of pop-up advertisement pictures which need to be pushed currently based on the pushing priority of the pop-up advertisement pictures of various advertisement types;
the field positioning equipment is used for acquiring a current video playing picture, and identifying a foreground area and a background area of the current video playing picture so as to take the background area of the current video playing picture as an advertisement pushing area;
the picture processing device is respectively connected with the advertisement pushing device and the field positioning device and is used for randomly superposing and playing pop-up advertisement pictures currently pushed by the advertisement pushing device at each position of the advertisement pushing area acquired by the field positioning device;
wherein, in the sorting statistic device, the shorter the average playing time is, the lower the push priority of the pop-up advertisement picture corresponding to the advertisement type is;
the step of counting the average playing time of each pop-up advertisement based on the playing time of each pop-up advertisement picture and the advertisement type comprises the following steps: and carrying out arithmetic mean calculation on the playing time lengths of all pop-up advertisement pictures which are played in the history of each advertisement type, and taking the calculation result as the average playing time length of the pop-up advertisements of the advertisement type.
Next, a detailed description will be made of a specific configuration of the video advertisement delivery priority analysis system according to the first embodiment of the present invention.
The video advertisement push priority analysis system may further include: and the content storage device is connected with the advertisement pushing device and is used for storing a plurality of pop-up advertisement pictures related to the current video as a plurality of pop-up advertisement pictures needing to be pushed currently.
In the video advertisement push priority analysis system: and each pop-up advertisement picture which is played in an overlapped mode by the picture processing equipment is provided with a closing option for a user to click and close the pop-up advertisement picture.
In the video advertisement push priority analysis system: the identification of the foreground area and the background area of the current video playing picture by the field positioning equipment comprises the following steps: the region where the human object exists is set as a foreground region, and the region where the human object does not exist is set as a background region.
In the video advertisement push priority analysis system: the identification of the foreground area and the background area of the current video playing picture by the field positioning equipment comprises the following steps: and taking the area with the depth of field value deeper than the preset depth of field threshold value as a background area, and taking other areas of the current video playing picture as foreground areas.
< second embodiment >
Fig. 3 is a flowchart illustrating steps of a video advertisement push priority analysis method according to a second embodiment of the present invention, the method including:
the using duration analyzing equipment is used for counting the playing duration of each pop-up advertisement picture on the video playing picture before the pop-up advertisement picture is closed by the user;
the usage data monitoring equipment is connected with the duration analysis equipment and is used for counting the average playing duration of each pop-up advertisement picture based on the playing duration of each pop-up advertisement picture and the advertisement type;
the use ordering statistical equipment is connected with the data monitoring equipment and used for ordering the pushing priority of the pop-up advertisement pictures of various advertisement types based on the average playing time of the pop-up advertisement pictures of various advertisement types;
using an advertisement pushing device, connecting with the ordering statistic device, and performing order pushing operation on a plurality of pop-up advertisement pictures which need to be pushed currently based on the pushing priority of the pop-up advertisement pictures of various advertisement types;
using field positioning equipment for acquiring a current video playing picture, and identifying a foreground area and a background area of the current video playing picture so as to take the background area of the current video playing picture as an advertisement pushing area;
using a picture processing device which is respectively connected with the advertisement pushing device and the field positioning device and is used for randomly superposing and playing pop-up advertisement pictures currently pushed by the advertisement pushing device on each position of an advertisement pushing area acquired by the field positioning device;
wherein, in the sorting statistic device, the shorter the average playing time is, the lower the push priority of the pop-up advertisement picture corresponding to the advertisement type is;
the step of counting the average playing time of each pop-up advertisement based on the playing time of each pop-up advertisement picture and the advertisement type comprises the following steps: and carrying out arithmetic mean calculation on the playing time lengths of all pop-up advertisement pictures which are played in the history of each advertisement type, and taking the calculation result as the average playing time length of the pop-up advertisements of the advertisement type.
Next, the detailed steps of the video advertisement push priority analysis method according to the second embodiment of the present invention will be further described.
The video advertisement push priority analysis method may further include: and using a content storage device connected with the advertisement pushing device and used for storing a plurality of pop-up advertisement pictures related to the current video as a plurality of pop-up advertisement pictures needing to be pushed currently.
In the video advertisement push priority analysis method: and each pop-up advertisement picture which is played in an overlapped mode by the picture processing equipment is provided with a closing option for a user to click and close the pop-up advertisement picture.
In the video advertisement push priority analysis method: the identification of the foreground area and the background area of the current video playing picture by the field positioning equipment comprises the following steps: the region where the human object exists is set as a foreground region, and the region where the human object does not exist is set as a background region.
In the video advertisement push priority analysis method: the identification of the foreground area and the background area of the current video playing picture by the field positioning equipment comprises the following steps: and taking the area with the depth of field value deeper than the preset depth of field threshold value as a background area, and taking other areas of the current video playing picture as foreground areas.
In addition, the picture processing device may be implemented using a general array logic device GAL.
General Array logic GAL (general Array logic) devices are the first electrically erasable, programmable, settable bit PLD invented by LATTICE. Representative GAL chips are GAL16V8, GAL20, which are capable of emulating almost all types of PAL devices. In practical application, GAL device has 100% compatibility to PAL device emulation, so GAL can almost completely replace PAL device, and can replace most SSI, MSI digital integrated circuit, thus obtaining wide application.
The biggest difference between GAL and PAL is that the output structure of the GAL is user-definable and is a programmable output structure. Two basic models of GAL, GAL16V8(20 pins) GAL20V8(24 pins), replace ten PAL devices, and are therefore called pain programmable circuits. The output of the PAL is well defined by the manufacturer, the chip is fixed after being selected, and the user can not change the chip.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. A video advertisement push priority analysis system, comprising:
the duration analysis equipment is used for counting the playing duration of each pop-up advertisement picture on the video playing picture before the pop-up advertisement picture is closed by a user;
the data monitoring equipment is connected with the duration analysis equipment and is used for counting the average playing duration of each pop-up advertisement picture based on the playing duration of each pop-up advertisement picture and the advertisement type;
the sequencing statistic equipment is connected with the data monitoring equipment and is used for sequencing the pushing priority of the pop-up advertisement pictures of various advertisement types based on each average playing time length of the pop-up advertisement pictures of various advertisement types;
the advertisement pushing equipment is connected with the sequencing statistic equipment and is used for carrying out sequential pushing operation on a plurality of pop-up advertisement pictures which need to be pushed currently based on the pushing priority of the pop-up advertisement pictures of various advertisement types;
the field positioning equipment is used for acquiring a current video playing picture, and identifying a foreground area and a background area of the current video playing picture so as to take the background area of the current video playing picture as an advertisement pushing area;
the picture processing device is respectively connected with the advertisement pushing device and the field positioning device and is used for randomly superposing and playing pop-up advertisement pictures currently pushed by the advertisement pushing device at each position of the advertisement pushing area acquired by the field positioning device;
wherein, in the sorting statistic device, the shorter the average playing time is, the lower the push priority of the pop-up advertisement picture corresponding to the advertisement type is;
the step of counting the average playing time of each pop-up advertisement based on the playing time of each pop-up advertisement picture and the advertisement type comprises the following steps: and carrying out arithmetic mean calculation on the playing time lengths of all pop-up advertisement pictures which are played in the history of each advertisement type, and taking the calculation result as the average playing time length of the pop-up advertisements of the advertisement type.
2. The video advertisement push priority analysis system of claim 1 wherein the system further comprises:
and the content storage device is connected with the advertisement pushing device and is used for storing a plurality of pop-up advertisement pictures related to the current video as a plurality of pop-up advertisement pictures needing to be pushed currently.
3. The video advertisement push priority analysis system of claim 2 wherein:
and each pop-up advertisement picture which is played in an overlapped mode by the picture processing equipment is provided with a closing option for a user to click and close the pop-up advertisement picture.
4. A video advertisement push priority analysis system as claimed in claim 3 wherein:
the identification of the foreground area and the background area of the current video playing picture by the field positioning equipment comprises the following steps: the region where the human object exists is set as a foreground region, and the region where the human object does not exist is set as a background region.
5. The video advertisement push priority analysis system of claim 4 wherein:
the identification of the foreground area and the background area of the current video playing picture by the field positioning equipment comprises the following steps: and taking the area with the depth of field value deeper than the preset depth of field threshold value as a background area, and taking other areas of the current video playing picture as foreground areas.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010126652.5A CN111263203A (en) | 2020-02-28 | 2020-02-28 | Video advertisement push priority analysis system |
| GBGB2015071.0A GB202015071D0 (en) | 2020-02-28 | 2020-09-24 | Video advertisement push priority analysis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010126652.5A CN111263203A (en) | 2020-02-28 | 2020-02-28 | Video advertisement push priority analysis system |
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| CN111263203A true CN111263203A (en) | 2020-06-09 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202010126652.5A Pending CN111263203A (en) | 2020-02-28 | 2020-02-28 | Video advertisement push priority analysis system |
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| GB (1) | GB202015071D0 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159864A (en) * | 2021-05-11 | 2021-07-23 | 两比特(北京)科技有限公司 | Novel advertisement system is implanted to movie & TV |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112931931A (en) * | 2021-02-26 | 2021-06-11 | 王同欣 | Cigarette type advertisement carrier |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120011454A1 (en) * | 2008-04-30 | 2012-01-12 | Microsoft Corporation | Method and system for intelligently mining data during communication streams to present context-sensitive advertisements using background substitution |
| CN103646337A (en) * | 2013-11-19 | 2014-03-19 | 乐视网信息技术（北京）股份有限公司 | Advertisement broadcasting method and apparatus |
| CN105654347A (en) * | 2015-12-31 | 2016-06-08 | 心触动（武汉）文化传媒有限公司 | Method and system for intelligently switching advertisements based on outdoor intelligent terminal |
| CN106412643A (en) * | 2016-09-09 | 2017-02-15 | 上海掌门科技有限公司 | Interactive video advertisement placing method and system |
| CN106600343A (en) * | 2016-12-30 | 2017-04-26 | 中广热点云科技有限公司 | Method and system for managing online video advertisement associated with video content |
| CN107318033A (en) * | 2017-06-30 | 2017-11-03 | 深圳市九洲电器有限公司 | Television advertising recommends method and system |
| CN107493488A (en) * | 2017-08-07 | 2017-12-19 | 上海交通大学 | The method that video content thing based on Faster R CNN models is intelligently implanted into |
| CN109525866A (en) * | 2018-12-06 | 2019-03-26 | 安徽海豚新媒体产业发展有限公司 | A kind of advertisement sending method based on viewing duration |
| CN109961321A (en) * | 2019-03-14 | 2019-07-02 | 佛山市摄时度文化传播有限公司 | Advertisement sending method and device |
| CN110264271A (en) * | 2019-06-21 | 2019-09-20 | 安吉艾格赛思生物科技有限公司 | A kind of accurate put-on method of regional advertisement based on internet big data |
-
2020
- 2020-02-28 CN CN202010126652.5A patent/CN111263203A/en active Pending
- 2020-09-24 GB GBGB2015071.0A patent/GB202015071D0/en not_active Ceased
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120011454A1 (en) * | 2008-04-30 | 2012-01-12 | Microsoft Corporation | Method and system for intelligently mining data during communication streams to present context-sensitive advertisements using background substitution |
| CN103646337A (en) * | 2013-11-19 | 2014-03-19 | 乐视网信息技术（北京）股份有限公司 | Advertisement broadcasting method and apparatus |
| CN105654347A (en) * | 2015-12-31 | 2016-06-08 | 心触动（武汉）文化传媒有限公司 | Method and system for intelligently switching advertisements based on outdoor intelligent terminal |
| CN106412643A (en) * | 2016-09-09 | 2017-02-15 | 上海掌门科技有限公司 | Interactive video advertisement placing method and system |
| CN106600343A (en) * | 2016-12-30 | 2017-04-26 | 中广热点云科技有限公司 | Method and system for managing online video advertisement associated with video content |
| CN107318033A (en) * | 2017-06-30 | 2017-11-03 | 深圳市九洲电器有限公司 | Television advertising recommends method and system |
| CN107493488A (en) * | 2017-08-07 | 2017-12-19 | 上海交通大学 | The method that video content thing based on Faster R CNN models is intelligently implanted into |
| CN109525866A (en) * | 2018-12-06 | 2019-03-26 | 安徽海豚新媒体产业发展有限公司 | A kind of advertisement sending method based on viewing duration |
| CN109961321A (en) * | 2019-03-14 | 2019-07-02 | 佛山市摄时度文化传播有限公司 | Advertisement sending method and device |
| CN110264271A (en) * | 2019-06-21 | 2019-09-20 | 安吉艾格赛思生物科技有限公司 | A kind of accurate put-on method of regional advertisement based on internet big data |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113159864A (en) * | 2021-05-11 | 2021-07-23 | 两比特(北京)科技有限公司 | Novel advertisement system is implanted to movie & TV |
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| GB202015071D0 (en) | 2020-11-11 |
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