CN111598601B - Intelligent database updating selection platform - Google Patents
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Abstract
The invention relates to an intelligent database updating selection platform, which comprises: the information updating device is arranged in the intelligent mobile phone and wirelessly downloads the latest advertisement database at preset time intervals through a frequency division duplex communication link; the real-time snapshot device is used for executing screen capture action on the currently played video picture so as to obtain and output a corresponding real-time screen capture image; and the amplitude identification device is used for comparing the maximum amplitudes of various noises of the received real-time screen-grabbing image and outputting the maximum value of the maximum amplitudes as a reference amplitude. The intelligent database updating selection platform is effective in screening and stable in operation. The most key object type is obtained based on the position of the object in the customized and processed image of the video picture played currently by the smart phone, and then the advertisement data of the corresponding type is selected for playing, so that the selected advertisement data is matched with the content of the video picture played below the selected advertisement data.
Description
Technical Field
The invention relates to the field of databases, in particular to an intelligent database updating selection platform.
Background
In short, the database can be regarded as an electronic file cabinet, namely a place for storing electronic files, and a user can add, query, update, delete and the like to data in the files.
A "database" is a collection of data that is stored together in a manner that can be shared by multiple users, has as little redundancy as possible, and is independent of the application.
A Database Management System (DBMS) is a computer software System designed for managing a Database, and generally has basic functions of storage, interception, security assurance, backup, and the like. The database management system may be categorized according to the database model it supports, such as relational, XML; or classified according to the type of computer supported, e.g., server cluster, mobile phone; or classified according to the query language used, e.g., SQL, XQuery; or by performance impulse emphasis, e.g., maximum size, maximum operating speed; or other classification schemes. Regardless of the manner of classification used, some DBMSs are capable of supporting multiple query languages across categories, for example, simultaneously.
Disclosure of Invention
The invention has at least the following two important points:
(1) acquiring the most key object type based on the position of an object in an image after the customized processing of a video picture currently played by the smart phone, and further selecting advertisement data of a corresponding type for playing, so that the selected advertisement data is matched with the content of a video picture played below the selected advertisement data;
(2) the content repetition degree is used for selecting the image partition for executing the parameter analysis, and the saturation degree analysis is carried out on the selected image partition so as to judge whether to execute the subsequent saturation degree compensation action based on the analysis result, thereby improving the self-adaptive level of the image processing.
According to an aspect of the present invention, there is provided an intelligent database update selection platform, the platform comprising: and the information updating equipment is arranged in the intelligent mobile phone and wirelessly downloads the latest advertisement database through a frequency division duplex communication link.
More specifically, in the intelligent database update selection platform: and the information updating equipment wirelessly downloads the latest advertisement database through a frequency division duplex communication link at preset time intervals.
More specifically, in the intelligent database update selection platform, the method further includes: the real-time snapshot device is arranged in the intelligent mobile phone and is used for executing screen capture action on the currently played video picture so as to obtain and output a corresponding real-time screen capture image; the amplitude identification device is arranged in the smart phone, connected with the real-time snapshot device and used for comparing the maximum amplitudes of various noises of the received real-time screen capture image and outputting the maximum value of each maximum amplitude as a reference amplitude; the subarea capturing device is connected with the amplitude recognition device and used for receiving the reference amplitude and determining the number of image subareas obtained by cutting the real-time screen-grabbing image in inverse proportion to the reference amplitude; the duplication degree extraction equipment is used for receiving each image partition of the real-time screen capture image, acquiring the duplication degree of each image partition, and outputting an image partition corresponding to the maximum value in each duplication degree of each image partition and an image partition corresponding to the minimum value in each duplication degree of each image partition as two reference image partitions; and the data identification device is connected with the repeatability extraction device and is used for carrying out average calculation on the two saturation values of the two reference image partitions so as to obtain the corresponding target saturation value.
The intelligent database updating selection platform is effective in screening and stable in operation. The most key object type is obtained based on the position of the object in the customized and processed image of the video picture played currently by the smart phone, and then the advertisement data of the corresponding type is selected for playing, so that the selected advertisement data is matched with the content of the video picture played below the selected advertisement data.
Detailed Description
An embodiment of the intelligent database update selection platform of the present invention will be described in detail below.
1890 a definition of the more common acceptance of advertising by western society was: an advertisement is News about a good or service (News about product or service).
In 1894, Albert Lasher (the father of the American modern Advertising) recognized: the advertisement is a sales promotion means (Salesmanship in print, drive by a reproduction whhy) in a print form. This definition contains the meaning of persuasion in the promotion.
In 1948, The Committee on Definitions of The American Marketing Association (The Committee on Definitions of The American Marketing Association) formed a definition of advertising that had a major impact: advertisements are non-human statements and promotions paid for in any way by an identifiable advertiser for its ideas, goods or services.
The significance of the american advertising association to advertising is: the advertisement is a mass propagation of payment, and the final purpose is to transmit information, change the attitude of people to the advertisement commodity, induce the action thereof and make the advertiser obtain the benefit.
The definition of the advertisement in webster dictionary is: advertising refers to a form of all advertising sexual activities that are conducted with the intention of strengthening sales of goods, propagating a certain sense or information, summoning into various parties and gatherings, and the like, directly or indirectly.
In modern times, advertising is considered to be a form of targeted information delivered using media rather than orally, which is intended to evoke people's needs for goods and create an understanding and appreciation for businesses that produce or sell such goods, provide some non-profit-targeted service, and set forth some meaning and insight, etc.
At present, when the advertisement is superimposed on the video playing image, because the video content is the favorite content selected by the user, the content of the video content and the favorite content are generally expected to be matched, on one hand, the interest of the audience in the advertisement can be driven, on the other hand, the advertisement and the video are mutually promoted, however, the amplitude of the video playing image is large, the object content related at each position is different, and the most main object type is difficult to determine when the advertisement type is screened.
In order to overcome the defects, the invention builds an intelligent database updating selection platform and can effectively solve the corresponding technical problems.
The intelligent database updating selection platform shown according to the embodiment of the invention comprises:
and the information updating equipment is arranged in the intelligent mobile phone and wirelessly downloads the latest advertisement database through a frequency division duplex communication link.
Next, the detailed structure of the intelligent database update selection platform of the present invention will be further described.
In the intelligent database update selection platform:
and the information updating equipment wirelessly downloads the latest advertisement database through a frequency division duplex communication link at preset time intervals.
In the intelligent database updating selection platform, the method further comprises the following steps:
the real-time snapshot device is arranged in the intelligent mobile phone and is used for executing screen capture action on the currently played video picture so as to obtain and output a corresponding real-time screen capture image;
the amplitude identification device is arranged in the smart phone, connected with the real-time snapshot device and used for comparing the maximum amplitudes of various noises of the received real-time screen capture image and outputting the maximum value of each maximum amplitude as a reference amplitude;
the subarea capturing device is connected with the amplitude recognition device and used for receiving the reference amplitude and determining the number of image subareas obtained by cutting the real-time screen-grabbing image in inverse proportion to the reference amplitude;
the duplication degree extraction equipment is used for receiving each image partition of the real-time screen capture image, acquiring the duplication degree of each image partition, and outputting an image partition corresponding to the maximum value in each duplication degree of each image partition and an image partition corresponding to the minimum value in each duplication degree of each image partition as two reference image partitions;
the data identification device is connected with the repeatability extraction device and used for carrying out average calculation on the two saturation values of the two reference image partitions so as to obtain corresponding target saturation values;
the signal triggering device is connected with the data identification device and used for receiving the target saturation value and sending a first triggering instruction when the target saturation value is not between a preset saturation upper threshold and a preset saturation lower threshold;
the action execution device is respectively connected with the signal trigger device and the repeatability extraction device and is used for executing saturation compensation action based on the target saturation value on each image partition of the real-time screen capture image when the first trigger instruction is received so as to obtain corresponding compensation partitions, and combining all the compensation partitions so as to obtain an image to be processed corresponding to the real-time screen capture image;
the signal analysis device is connected with the action execution device and used for analyzing the object type related to each compensation block in the image to be processed to obtain one or more object types in each compensation block, and the following actions are executed on each object type appearing in the image to be processed: acquiring one or more relative positions of one or more compensation blocks with corresponding objects respectively in the image to be processed, and determining the importance degree of the object type based on the proximity degree of the one or more relative positions to the centroid of the image to be processed;
the data extraction equipment is connected with the signal analysis equipment and used for acquiring the importance degree of each object type appearing in the image to be processed and selecting advertisement content from the latest advertisement database to play based on the advertisement type corresponding to the object type with the highest importance degree;
wherein determining the importance of the object type based on the proximity of the one or more relative positions to the centroid of the image to be processed comprises: the closer to the image to be processed, the higher the importance of the object type.
In the intelligent database update selection platform:
the signal triggering device is further used for sending a second triggering instruction when the target saturation value is between a preset saturation upper threshold and a preset saturation lower threshold;
and the action execution equipment is also used for outputting the real-time screen capture image as an image to be processed when the second trigger instruction is received.
In the intelligent database update selection platform:
in the subarea capture device, the size of each image subarea obtained by cutting the real-time screen capture image is the same, and the subarea capture device is also used for outputting each image subarea.
In the intelligent database updating selection platform, the method further comprises the following steps:
the arithmetic mean filtering device is arranged in the smart phone, is connected with the real-time capturing device, and is used for receiving the real-time screen capturing image and carrying out image sharpening processing on the real-time screen capturing image so as to obtain and output a corresponding arithmetic mean filtering image;
and the horizontal direction sharpening device is connected with the arithmetic mean filtering device and is used for receiving the arithmetic mean filtering image and carrying out horizontal direction sharpening processing on the arithmetic mean filtering image so as to obtain a corresponding horizontal direction sharpened image.
In the intelligent database updating selection platform, the method further comprises the following steps:
the parameter extraction device is connected with the horizontal sharpening device and is used for receiving the horizontal sharpened image and the arithmetic mean value filtering image, acquiring the ambiguity of the horizontal sharpened image and the ambiguity of the arithmetic mean value filtering image, dividing the ambiguity of the arithmetic mean value filtering image by the ambiguity of the horizontal sharpened image to obtain an ambiguity multiple, and sending a first driving signal when the ambiguity multiple exceeds a preset multiple threshold;
and the parameter extraction equipment is also used for sending out a second driving signal when the ambiguity multiple does not exceed the preset multiple threshold.
In the intelligent database updating selection platform, the method further comprises the following steps:
a GPU chip, respectively connected to the horizontal sharpening device and the parameter extraction device, for controlling the horizontal sharpening device to perform one or more horizontal sharpening processes on the horizontally sharpened image when receiving the second driving signal until a multiple obtained by dividing a blur degree of the arithmetic mean filtered image by a blur degree of the processed image exceeds the preset multiple threshold, and outputting the processed image as an effective image;
and the GPU chip is also used for outputting the horizontal sharpened image as an effective image when receiving the first driving signal.
In the intelligent database updating selection platform, the method further comprises the following steps:
the bicubic interpolation device is respectively connected with the amplitude identification device and the GPU chip and is used for receiving the validity image and executing bicubic interpolation processing based on an 8 pixel multiplied by 8 pixel neighborhood on the validity image so as to obtain a corresponding field interpolation image, replace the real-time screen capture image and send the real-time screen capture image to the amplitude identification device;
wherein the bicubic interpolation device, the arithmetic mean filtering device and the horizontal direction sharpening device are respectively implemented by different models of PAL devices.
In addition, the GPU is the brain of the display card, the GPU determines the grade and most of the performance of the display card, and meanwhile, the GPU is also the basis for distinguishing the 2D display card from the 3D display card. The 2D display chip mainly depends on the processing capability of the CPU when processing 3D images and special effects, which is called soft acceleration. The 3D display chip is a function that concentrates three-dimensional image and special effect processing functions in the display chip, which is called "hardware acceleration". The display chip is typically the largest chip (and most pins) on the display card. Graphics processing chips of NVIDIA and AMD-ATI companies are mostly adopted by the video cards on the market at present.
The GPU is no longer limited to 3D graphics processing, the development of GPU general computing technology has attracted much attention in the industry, and the fact also proves that in the aspects of floating point operation, parallel computing and other partial computing, the GPU can provide tens of times or even hundreds of times of the performance of the CPU, so that the strong "new star" inevitably stresses the old intel of the CPU manufacturer for the future, and NVIDIA and intel often develop water battles for the CPU and the GPU who is more important. The general calculation standards of the GPU are OpenCL, CUDA and ATI STREAM at present. OpenCL (Open Computing Language) is the first Open, free standard for parallel programming of general purpose of heterogeneous systems, and is also a unified programming environment, which is convenient for software developers to write efficient and portable codes for high-performance Computing servers, desktop Computing systems, and handheld devices, and is widely applicable to other parallel processors such as multi-Core Processors (CPUs), Graphics Processing Units (GPUs), Cell type architectures, and Digital Signal Processors (DSPs), and has a wide development prospect in various fields such as games, entertainment, scientific research, and medical care, and products in AMD-ATI and idntia all support Open CL.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (7)
1. An intelligent database update selection platform, comprising:
the information updating device is arranged in the intelligent mobile phone and wirelessly downloads the latest advertisement database through a frequency division duplex communication link;
the information updating device wirelessly downloads the latest advertisement database through a frequency division duplex communication link at preset time intervals;
the real-time snapshot device is arranged in the intelligent mobile phone and is used for executing screen capture action on the currently played video picture so as to obtain and output a corresponding real-time screen capture image;
the amplitude identification device is arranged in the smart phone, connected with the real-time snapshot device and used for comparing the maximum amplitudes of various noises of the received real-time screen capture image and outputting the maximum value of each maximum amplitude as a reference amplitude;
the subarea capturing device is connected with the amplitude recognition device and used for receiving the reference amplitude and determining the number of image subareas obtained by cutting the real-time screen-grabbing image in inverse proportion to the reference amplitude;
the duplication degree extraction equipment is used for receiving each image partition of the real-time screen capture image, acquiring the duplication degree of each image partition, and outputting an image partition corresponding to the maximum value in each duplication degree of each image partition and an image partition corresponding to the minimum value in each duplication degree of each image partition as two reference image partitions;
the data identification device is connected with the repeatability extraction device and used for carrying out average calculation on the two saturation values of the two reference image partitions so as to obtain corresponding target saturation values;
the signal triggering device is connected with the data identification device and used for receiving the target saturation value and sending a first triggering instruction when the target saturation value is not between a preset saturation upper threshold and a preset saturation lower threshold;
the action execution device is respectively connected with the signal trigger device and the repeatability extraction device and is used for executing saturation compensation action based on the target saturation value on each image partition of the real-time screen capture image when the first trigger instruction is received so as to obtain corresponding compensation partitions, and combining all the compensation partitions so as to obtain an image to be processed corresponding to the real-time screen capture image;
the signal analysis device is connected with the action execution device and used for analyzing the object type related to each compensation block in the image to be processed to obtain one or more object types in each compensation block, and the following actions are executed on each object type appearing in the image to be processed: acquiring one or more relative positions of one or more compensation blocks with corresponding objects respectively in the image to be processed, and determining the importance degree of the object type based on the proximity degree of the one or more relative positions to the centroid of the image to be processed;
the data extraction equipment is connected with the signal analysis equipment and used for acquiring the importance degree of each object type appearing in the image to be processed and selecting advertisement content from the latest advertisement database to play based on the advertisement type corresponding to the object type with the highest importance degree;
wherein determining the importance of the object type based on the proximity of the one or more relative positions to the centroid of the image to be processed comprises: the closer to the image to be processed, the higher the importance of the object type.
2. The intelligent database update selection platform of claim 1, wherein:
the signal triggering device is further used for sending a second triggering instruction when the target saturation value is between a preset saturation upper threshold and a preset saturation lower threshold;
and the action execution equipment is also used for outputting the real-time screen capture image as an image to be processed when the second trigger instruction is received.
3. The intelligent database update selection platform of claim 2, wherein:
in the subarea capture device, the size of each image subarea obtained by cutting the real-time screen capture image is the same, and the subarea capture device is also used for outputting each image subarea.
4. The intelligent database update selection platform of claim 3, wherein the platform further comprises:
the arithmetic mean filtering device is arranged in the smart phone, is connected with the real-time capturing device, and is used for receiving the real-time screen capturing image and carrying out image sharpening processing on the real-time screen capturing image so as to obtain and output a corresponding arithmetic mean filtering image;
and the horizontal direction sharpening device is connected with the arithmetic mean filtering device and is used for receiving the arithmetic mean filtering image and carrying out horizontal direction sharpening processing on the arithmetic mean filtering image so as to obtain a corresponding horizontal direction sharpened image.
5. The intelligent database update selection platform of claim 4, wherein the platform further comprises:
the parameter extraction device is connected with the horizontal sharpening device and is used for receiving the horizontal sharpened image and the arithmetic mean value filtering image, acquiring the ambiguity of the horizontal sharpened image and the ambiguity of the arithmetic mean value filtering image, dividing the ambiguity of the arithmetic mean value filtering image by the ambiguity of the horizontal sharpened image to obtain an ambiguity multiple, and sending a first driving signal when the ambiguity multiple exceeds a preset multiple threshold;
and the parameter extraction equipment is also used for sending out a second driving signal when the ambiguity multiple does not exceed the preset multiple threshold.
6. The intelligent database update selection platform of claim 5, wherein the platform further comprises:
a GPU chip, respectively connected to the horizontal sharpening device and the parameter extraction device, for controlling the horizontal sharpening device to perform one or more horizontal sharpening processes on the horizontally sharpened image when receiving the second driving signal until a multiple obtained by dividing a blur degree of the arithmetic mean filtered image by a blur degree of the processed image exceeds the preset multiple threshold, and outputting the processed image as an effective image;
and the GPU chip is also used for outputting the horizontal sharpened image as an effective image when receiving the first driving signal.
7. The intelligent database update selection platform of claim 6, wherein the platform further comprises:
the bicubic interpolation device is respectively connected with the amplitude identification device and the GPU chip and is used for receiving the validity image and executing bicubic interpolation processing based on an 8 pixel multiplied by 8 pixel neighborhood on the validity image so as to obtain a corresponding field interpolation image, replace the real-time screen capture image and send the real-time screen capture image to the amplitude identification device;
wherein the bicubic interpolation device, the arithmetic mean filtering device and the horizontal direction sharpening device are respectively implemented by different models of PAL devices.
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| CN201910868250.XA CN111598601B (en) | 2019-09-16 | 2019-09-16 | Intelligent database updating selection platform |
| GBGB2014464.8A GB202014464D0 (en) | 2019-09-16 | 2020-09-15 | Intelligent database update selection platform |
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| CN113850163B (en) * | 2021-09-12 | 2022-05-17 | 深圳市思贝克工业智联有限公司 | Parameter analysis platform using block chain storage |
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| CN102946565A (en) * | 2012-11-29 | 2013-02-27 | 乐视致新电子科技（天津）有限公司 | System and method for automatic updating of buffer video advertisements |
| CN106534904A (en) * | 2016-11-18 | 2017-03-22 | 深圳Tcl数字技术有限公司 | Method, system and user terminal for realizing video shopping |
| EP3161798A1 (en) * | 2014-06-30 | 2017-05-03 | Intel Corporation | Method and apparatus for filtered coarse pixel shading |
| CN109068173A (en) * | 2018-09-28 | 2018-12-21 | 石家庄永捷科技有限公司 | A kind of method for processing video frequency and video process apparatus |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR100856211B1 (en) * | 2007-02-06 | 2008-09-03 | 삼성전자주식회사 | High speed image processing scheme based on graphics processing unit |
| CN109308627A (en) * | 2017-07-28 | 2019-02-05 | 橙果信息技术有限公司 | A kind of advertisement push system and method based on Identification of Images |
| CN108322788B (en) * | 2018-02-09 | 2021-03-16 | 武汉斗鱼网络科技有限公司 | Advertisement display method and device in live video |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102946565A (en) * | 2012-11-29 | 2013-02-27 | 乐视致新电子科技（天津）有限公司 | System and method for automatic updating of buffer video advertisements |
| EP3161798A1 (en) * | 2014-06-30 | 2017-05-03 | Intel Corporation | Method and apparatus for filtered coarse pixel shading |
| CN106534904A (en) * | 2016-11-18 | 2017-03-22 | 深圳Tcl数字技术有限公司 | Method, system and user terminal for realizing video shopping |
| CN109068173A (en) * | 2018-09-28 | 2018-12-21 | 石家庄永捷科技有限公司 | A kind of method for processing video frequency and video process apparatus |
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