阅读说明：本技术 智能电视精细化管理平台 (Smart television fine-grained management platform ) 是由 徐晓璐 于 2018-08-30 设计创作，主要内容包括：本发明涉及一种智能电视精细化管理平台,包括：情绪管理APP,安装在智能电视上,在被用户打开时,启动智能电视自带摄像设备对周围环境进行图像拍摄动作,以获得对应的现场拍摄图像,并输出所述现场拍摄图像；第一检测设备,与所述情绪管理APP连接,用于接收所述现场拍摄图像,对所述现场拍摄图像中的各个像素点进行噪声点的判断,以确定每一个像素点为噪声点或非噪声点；第二检测设备,用于接收所述现场拍摄图像,用于提取所述现场拍摄图像的解析度,并基于所述现场拍摄图像的解析度映射对应大小的预设滑动窗口。通过本发明,提高了电视的自适应能力。(The present invention relates to a kind of smart television fine-grained management platforms, it include: motion management APP, it is mounted on smart television, when being opened by user, start smart television and carries picture pick-up device to ambient enviroment progress image taking movement, to obtain corresponding live shooting image, and export the live shooting image；First detection device is connect with the motion management APP, for receiving the live shooting image, the judgement of noise spot is carried out to each pixel in the live shooting image, to determine each pixel as noise spot or non-noise point；Second detection device for extracting the resolution that image is taken on site, and maps the default sliding window for corresponding to size based on the resolution that image is taken on site for receiving the live shooting image.Through the invention, the adaptive ability of TV is improved.)

1. a kind of smart television fine-grained management platform, the platform include:

Motion management APP, is mounted on smart television, and when being opened by user, starting smart television carries picture pick-up device to week Collarette border carries out image taking movement, to obtain corresponding live shooting image, and exports the live shooting image；

First detection device is connect with the motion management APP, for receiving the live shooting image, is clapped the scene The each pixel taken the photograph in image carries out the judgement of noise spot, using each determining pixel as noise spot or non-noise point, In, first detection device detects the various noises in the live shooting image, to obtain the live shooting The pixel being located in some noise region is confirmed as noise spot by each noise region in image, will be located at described each Pixel except a noise region is confirmed as non-noise point；

Second detection device, for receiving the live shooting image, for extracting the resolution that image is taken on site, and The default sliding window of corresponding size is mapped based on the resolution that image is taken on site；

First processing equipment is connect with second detection device, for obtaining the default sliding window, and to the scene Shooting each of image pixel carries out the following processing: using each of live shooting image pixel as pair As pixel, determine in the live shooting image using the subject image vegetarian refreshments as each picture in the default sliding window of centroid Vegetarian refreshments is to calculate the water in the default sliding window centered on the subject image vegetarian refreshments as each pixel to be assessed The mean square deviation of each pixel luminance channel value to be assessed after the subject image vegetarian refreshments square is excluded upwards, is calculated described pre- If being excluded in the vertical direction in sliding window centered on the subject image vegetarian refreshments each to be evaluated after the subject image vegetarian refreshments Estimate the mean square deviation of pixel luminance channel value, calculates the master in the default sliding window centered on the subject image vegetarian refreshments The diagonally adjacent mean square deviation for excluding each pixel luminance channel value to be assessed after the subject image vegetarian refreshments, calculates in institute It states after excluding the subject image vegetarian refreshments on the counter-diagonal direction in default sliding window centered on the subject image vegetarian refreshments The mean square deviation of each pixel luminance channel value to be assessed obtains the minimum value in four mean square deviations；

Second processing equipment is connect with first processing equipment, is clicked through to each of live shooting image pixel The following processing of row: using each of live shooting image pixel as subject image vegetarian refreshments, first processing is set The equal of each pixel luminance channel value to be assessed after the subject image vegetarian refreshments is excluded on the standby minimum value corresponding direction obtained It is worth the processed luminance channel value as the subject image vegetarian refreshments, the object pixel will be excluded on the minimum value corresponding direction Processed form and aspect channel value of the mean value of each pixel form and aspect channel value to be assessed after selecting as the subject image vegetarian refreshments, will The mean value of each pixel color difference channel value to be assessed after excluding the subject image vegetarian refreshments on the minimum value corresponding direction is made For the processed color difference channel value of the subject image vegetarian refreshments；

First output equipment is connect with the second processing equipment, for based on each of live shooting image picture Processed luminance channel value, processed form and aspect channel value and the processed color difference channel value of vegetarian refreshments obtain the live shooting image Corresponding signal exports image；

Personnel selection equipment is connect with first output equipment, for receiving the signal output image, is based on benchmark human body Profile matches multiple personnel's subgraphs from signal output image, and identifies the personnel couple in each personnel's subgraph As the depth of field in signal output image, three most shallow personnel's subgraphs of the depth of field are chosen into personnel's subgraph as multiple As output；

Wherein, the motion management APP be also used to receive it is the multiple choose personnel's subgraph, personnel's subgraph is chosen to each As carrying out image characteristics extraction to obtain corresponding personnel's mood, choose personnel's subgraph corresponding more based on the multiple A personnel's mood determines the operational mode of smart television.

2. smart television fine-grained management platform as described in claim 1, it is characterised in that:

In the motion management APP, the corresponding multiple personnel's moods of personnel's subgraph are chosen to determine based on the multiple The operational mode of smart television includes: to choose the corresponding multiple personnel's mood determinations of personnel's subgraph to work as based on the multiple Preceding audience emotion determines the operational mode of smart television based on the current audience emotion.

3. smart television fine-grained management platform as claimed in claim 2, it is characterised in that:

In second detection device, the resolution that image is taken on site is bigger, the diameter of the default sliding window of mapping It is bigger to length.

4. smart television fine-grained management platform as claimed in claim 3, it is characterised in that:

First processing equipment includes data receipt unit, horizontal direction assessment unit, vertical direction assessment unit, leads diagonally Line Direction estimation unit, counter-diagonal Direction estimation unit and data outputting unit.

5. smart television fine-grained management platform as claimed in claim 4, it is characterised in that:

The leading diagonal direction is from the lower left corner of the default sliding window to the upper right corner of the default sliding window Direction, the counter-diagonal direction be from the lower right corner of the default sliding window to the upper left of the default sliding window The direction at angle.

6. smart television fine-grained management platform as claimed in claim 5, it is characterised in that:

The operational mode that smart television is determined based on the current audience emotion includes: that the current audience emotion is more irritable, right The operational mode for the smart television answered more goes to refine.

7. smart television fine-grained management platform as claimed in claim 6, it is characterised in that:

In the personnel selection equipment, when the quantity of multiple personnel's subgraphs is less than three, using full complement's subgraph as Personnel's subgraph is chosen to export；

Wherein, the smart television includes multiple operational modes, and the fining degree of each operational mode is different.

Technical field

The present invention relates to the field TV APP more particularly to a kind of smart television fine-grained management platforms.

Background technique

Smart television is that had open operating system and chip based on Internet application technology, possessed open answer With platform, it can be achieved that two-way human-computer interaction function, integrates the multiple functions such as audio-visual, amusement, data, to meet user's multiplicity Change the tv product with individual demand.The purpose is to bring user more easily to experience, have become the trend of TV at present Trend.

Smart television is to be equipped with operating system with full open model platform, and user is appreciating the same of general television content When, types of applications software can be voluntarily installed and uninstalled, the new tv product for persistently being expanded function and being upgraded.Smart television It can constantly bring and be different to user, use individualized experience wired digital teleset, abundant.

Summary of the invention

It makes troubles to solve the excessively unified precision management mode of current smart television to the spectators under rashness The technical issues of, the present invention provides a kind of smart television fine-grained management platforms.

The present invention at least has the important inventive point of following two:

(1) fine-grained management is carried out using operational mode of the motion management APP of smart television to smart television, to avoid Excessively fine management mode is provided for current irritable personnel, has adapted to different type crowd and different mood crowds；

(2) resolution based on the high-definition image maps the default sliding window of corresponding size, and based on described default The luminance channel numeric distribution situation of pixel in sliding window in all directions determines the brightness form and aspect of pixel processed The data processing mode in each channel of color difference realizes the accurate filtering processing to picture signal.

According to an aspect of the present invention, a kind of smart television fine-grained management platform is provided, the platform includes:

Motion management APP, is mounted on smart television, and when being opened by user, starting smart television carries picture pick-up device Image taking movement is carried out to ambient enviroment, to obtain corresponding live shooting image, and exports the live shooting image；The One detection device is connect with the motion management APP, for receiving the live shooting image, to the live shooting image In each pixel carry out noise spot judgement, using determine each pixel as noise spot or non-noise point, wherein it is described First detection device detects the various noises in the live shooting image, to obtain in the live shooting image The pixel being located in some noise region is confirmed as noise spot, will be located at each noise range by each noise region Pixel except domain is confirmed as non-noise point；Second detection device, for receiving the live shooting image, for extracting The resolution that image is taken on site is stated, and maps the default sliding window of corresponding size based on the resolution that image is taken on site Mouthful；First processing equipment is connect with second detection device, for obtaining the default sliding window, and to the scene Shooting each of image pixel carries out the following processing: using each of live shooting image pixel as pair As pixel, determine in the live shooting image using the subject image vegetarian refreshments as each picture in the default sliding window of centroid Vegetarian refreshments is to calculate the water in the default sliding window centered on the subject image vegetarian refreshments as each pixel to be assessed The mean square deviation of each pixel luminance channel value to be assessed after the subject image vegetarian refreshments square is excluded upwards, is calculated described pre- If being excluded in the vertical direction in sliding window centered on the subject image vegetarian refreshments each to be evaluated after the subject image vegetarian refreshments Estimate the mean square deviation of pixel luminance channel value, calculates the master in the default sliding window centered on the subject image vegetarian refreshments The diagonally adjacent mean square deviation for excluding each pixel luminance channel value to be assessed after the subject image vegetarian refreshments, calculates in institute It states after excluding the subject image vegetarian refreshments on the counter-diagonal direction in default sliding window centered on the subject image vegetarian refreshments The mean square deviation of each pixel luminance channel value to be assessed obtains the minimum value in four mean square deviations；Second processing equipment, It is connect with first processing equipment, each of live shooting image pixel is carried out the following processing: will be described Each of image pixel is taken on site as subject image vegetarian refreshments, the minimum value that first processing equipment is obtained is corresponding The mean value of each pixel luminance channel value to be assessed after excluding the subject image vegetarian refreshments on direction is as the object pixel The processed luminance channel value of point will exclude each picture to be assessed after the subject image vegetarian refreshments on the minimum value corresponding direction Processed form and aspect channel value of the mean value of vegetarian refreshments form and aspect channel value as the subject image vegetarian refreshments, by the minimum value corresponding direction The upper mean value for excluding each pixel color difference channel value to be assessed after the subject image vegetarian refreshments is as the subject image vegetarian refreshments Processed color difference channel value；First output equipment is connect with the second processing equipment, for being based on the live shooting image Each of described in the processed luminance channel value of pixel, processed form and aspect channel value and processed color difference channel value obtain The corresponding signal of image is taken on site and exports image；Personnel selection equipment is connect, for receiving with first output equipment Signal output image is stated, multiple personnel's subgraphs are matched from signal output image based on benchmark human body contour outline, and know The depth of field of the personnel objects in signal output image in each other personnel's subgraph, by three people that the depth of field is most shallow Member's subgraph chooses personnel's subgraph to export as multiple；Wherein, the motion management APP is also used to receive the multiple choose Personnel's subgraph chooses personnel's subgraph to carry out image characteristics extraction to obtain corresponding personnel's mood each, is based on institute State multiple operational modes for choosing the corresponding multiple personnel's moods of personnel's subgraph to determine smart television.

More specifically, in the smart television fine-grained management platform: in the motion management APP, based on described It is multiple that the corresponding multiple personnel's moods of personnel's subgraph is chosen to determine that the operational mode of smart television includes: based on described more It is a that the corresponding multiple personnel's moods of personnel's subgraph is chosen to determine current audience emotion, it is true based on the current audience emotion Determine the operational mode of smart television.

More specifically, in the smart television fine-grained management platform: in second detection device, the scene The resolution for shooting image is bigger, and the radical length of the default sliding window of mapping is bigger.

More specifically, in the smart television fine-grained management platform: first processing equipment includes data receiver Unit, horizontal direction assessment unit, vertical direction assessment unit, leading diagonal Direction estimation unit, counter-diagonal Direction estimation Unit and data outputting unit.

More specifically, in the smart television fine-grained management platform: the leading diagonal direction is with from described pre- If the lower left corner of sliding window to the direction in the upper right corner of the default sliding window, the counter-diagonal direction is with from described Direction of the lower right corner of default sliding window to the upper left corner of the default sliding window.

More specifically, in the smart television fine-grained management platform: determining intelligence based on the current audience emotion The operational mode of TV includes: that the current audience emotion is more irritable, and the operational mode of corresponding smart television more goes to refine.

More specifically, in the smart television fine-grained management platform: in the personnel selection equipment, as multiple people Member subgraph quantity less than three when, using full complement's subgraph as choose personnel's subgraph output；Wherein, the intelligence electricity Depending on including multiple operational modes, the fining degree difference of each operational mode.

Detailed description of the invention

Embodiment of the present invention is described below with reference to attached drawing, in which:

Fig. 1 is the smart television according to applied by the smart television fine-grained management platform shown in embodiment of the present invention Appearance schematic diagram.

Specific embodiment

The embodiment of smart television fine-grained management platform of the invention is described in detail below with reference to accompanying drawings.

Smart television has the following characteristics that (1) has stronger hardware device, empty including high speed processor and certain storage Between, operation and storage for application program；(2) intelligent operating system is carried, user can voluntarily install, run and unload soft The application such as part, game；(3) it can connect public internet；(4) has the interactive application of various ways, such as new man-machine friendship Mutual mode, multi-screen interactive, content are shared etc..

Smart television needs the decoding display function that can complete traditional tv and runs operating system and numerous answer With, therefore upper two aspect of chip design is intended to take into account.Smart television chip mainly has two kinds of design schemes of single-chip and dual chip. For Earlier designs mostly based on dual chip, i.e. one block of TV plate adds " 1+1 " scheme of one block of Android plate, interface section still by TV SoC chip is handled, and the application of intelligent operating system, network and other applications is then by microprocessor come complete At.Although television manufacturer can use the smart television product of dual chip conceptual design oneself, user's intelligent Application is promoted Experience, but higher cost, are unfavorable for the popularization of smart television.

For country's smart television chip mainly based on single-chip, on the one hand single chip solution has cost advantage, another at present Aspect reduces the design and research and development difficulty of smart television.Single-chip includes processor and coding and decoding video two parts, processor It is responsible for the work such as application program operation, web page browsing in part.Based on image processing engine, collocation meets for coding and decoding video part The algorithm of broadcast singal standard, to complete coding and decoding video work.

In order to overcome above-mentioned deficiency, the present invention has built a kind of smart television fine-grained management platform, can effectively solve the problem that Corresponding technical problem.

Fig. 1 is the smart television according to applied by the smart television fine-grained management platform shown in embodiment of the present invention Appearance schematic diagram.Wherein, 1 is remote controller casing, and 2 be battery installing port, and 3 be loudspeaker, and 4 be control panel.

The smart television fine-grained management platform shown according to an embodiment of the present invention includes:

Motion management APP, is mounted on smart television, and when being opened by user, starting smart television carries picture pick-up device Image taking movement is carried out to ambient enviroment, to obtain corresponding live shooting image, and exports the live shooting image；

First detection device is connect with the motion management APP, for receiving the live shooting image, to described existing Each pixel in shooting image carries out the judgement of noise spot, to determine each pixel as noise spot or non-noise Point, wherein first detection device detects the various noises in the live shooting image, to obtain the scene Each noise region in image is shot, the pixel being located in some noise region is confirmed as noise spot, institute will be located at It states the pixel except each noise region and is confirmed as non-noise point；

Second detection device, for receiving the live shooting image, for extracting the parsing that image is taken on site Degree, and the default sliding window for corresponding to size is mapped based on the resolution that image is taken on site；

First processing equipment is connect with second detection device, for obtaining the default sliding window, and to described Each of image pixel is taken on site to carry out the following processing: each of live shooting image pixel is made For subject image vegetarian refreshments, determine in the live shooting image using the subject image vegetarian refreshments to be each in the default sliding window of centroid A pixel is to calculate in the default sliding window centered on the subject image vegetarian refreshments as each pixel to be assessed Horizontal direction on exclude the mean square deviation of each pixel luminance channel value to be assessed after the subject image vegetarian refreshments, calculate in institute It states each after excluding the subject image vegetarian refreshments in the vertical direction in default sliding window centered on the subject image vegetarian refreshments The mean square deviation of pixel luminance channel value to be assessed calculates in the default sliding window centered on the subject image vegetarian refreshments Leading diagonal direction on exclude the mean square deviation of each pixel luminance channel value to be assessed after the subject image vegetarian refreshments, calculate The subject image vegetarian refreshments is excluded on counter-diagonal direction in the default sliding window centered on the subject image vegetarian refreshments The mean square deviation of each pixel luminance channel value to be assessed afterwards obtains the minimum value in four mean square deviations；

Second processing equipment is connect with first processing equipment, to each of live shooting image pixel It selects and carries out the following processing: using each of live shooting image pixel as subject image vegetarian refreshments, at described first Each pixel luminance channel value to be assessed after the subject image vegetarian refreshments is excluded on the minimum value corresponding direction that reason equipment obtains Processed luminance channel value of the mean value as the subject image vegetarian refreshments, the object will be excluded on the minimum value corresponding direction Processed form and aspect channel of the mean value of each pixel form and aspect channel value to be assessed after pixel as the subject image vegetarian refreshments Value will exclude the equal of each pixel color difference channel value to be assessed after the subject image vegetarian refreshments on the minimum value corresponding direction It is worth the processed color difference channel value as the subject image vegetarian refreshments；

First output equipment is connect with the second processing equipment, for based on each in the live shooting image Processed luminance channel value, processed form and aspect channel value and the processed color difference channel value of a pixel obtain the live shooting The corresponding signal of image exports image；

Personnel selection equipment is connect with first output equipment, for receiving the signal output image, is based on benchmark Human body contour outline matches multiple personnel's subgraphs from signal output image, and identifies the people in each personnel's subgraph Three most shallow personnel's subgraphs of the depth of field are chosen personnel as multiple by the depth of field of member's object in signal output image Subgraph output；

Wherein, the motion management APP be also used to receive it is the multiple choose personnel's subgraph, personnel are chosen to each Subgraph carries out image characteristics extraction to obtain corresponding personnel's mood, chooses personnel's subgraph to respectively correspond based on the multiple Multiple personnel's moods determine the operational mode of smart television.

Then, continue that the specific structure of smart television fine-grained management platform of the invention is further detailed.

In the smart television fine-grained management platform: in the motion management APP, choosing people based on the multiple The corresponding multiple personnel's moods of member's subgraph determine that the operational mode of smart television includes: to choose personnel based on the multiple The corresponding multiple personnel's moods of subgraph determine current audience emotion, determine smart television based on the current audience emotion Operational mode.

In the smart television fine-grained management platform: in second detection device, the live shooting image Resolution it is bigger, the radical length of the default sliding window of mapping is bigger.

In the smart television fine-grained management platform: first processing equipment includes data receipt unit, level Direction estimation unit, vertical direction assessment unit, leading diagonal Direction estimation unit, counter-diagonal Direction estimation unit and data Output unit.

In the smart television fine-grained management platform: the leading diagonal direction is with from the default sliding window The lower left corner to the direction in the upper right corner of the default sliding window, the counter-diagonal direction is with from the default sliding window Direction of the lower right corner of mouth to the upper left corner of the default sliding window.

In the smart television fine-grained management platform: determining the operation of smart television based on the current audience emotion Mode includes: that the current audience emotion is more irritable, and the operational mode of corresponding smart television more goes to refine.

In the smart television fine-grained management platform: in the personnel selection equipment, when multiple personnel's subgraphs Quantity less than three when, using full complement's subgraph as choose personnel's subgraph export；

Wherein, the smart television includes multiple operational modes, and the fining degree of each operational mode is different.

In addition, in the smart television fine-grained management platform, further includes: Bluetooth communication port is selected with the personnel Equipment connection is selected, for receiving multiple personnel's subgraphs, and transmits wirelessly the corresponding personnel amount of the multiple personnel's subgraph.

Bluetooth (Bluetooth): being a kind of wireless technology standard, it can be achieved that fixed equipment, mobile device and building are personal Short-range data between the net of domain exchanges (using the UHF radio wave of the ISM band of 2.4-2.485GHz).Bluetooth technology is initial It was formulated by telecommunications giant Ericsson in 1994, was the alternative solution as RS232 data line at that time.Bluetooth can connect more A equipment overcomes the synchronous problem of data.

Nowadays, bluetooth is managed by bluetooth sig (Bluetooth Special Interest Group, abbreviation SIG) Reason.Bluetooth sig has more than 25,000 member company in the whole world, they are distributed in telecommunications, computer, network and disappear The multiple field such as power-consuming son.Bluetooth technology is classified as IEEE 802.15.1 by IEEE, but nowadays no longer maintains the standard.Bluetooth Technology-based Alliance is responsible for supervising the exploitation of Bluetooth specification, administrative authentication project, and safeguards trademark right.The equipment of manufacturer must accord with The standard for closing bluetooth sig could enter market with the name of " bluetooth equipment ".Bluetooth technology possesses a set of patent network, Standard compliant equipment can be issued to.

Using smart television fine-grained management platform of the invention, for the essence that smart television in the prior art is excessively unified The technical issues of thin management mode is made troubles to the spectators under rashness, by using the motion management APP of smart television Fine-grained management is carried out to the operational mode of smart television, provides excessively fine management mould to avoid for current irritable personnel Formula has adapted to different type crowd and different mood crowds；Resolution based on the high-definition image maps corresponding size Default sliding window, and the luminance channel numeric distribution situation based on the pixel in all directions in the default sliding window It determines the data processing mode in each channel of brightness form and aspect color difference of pixel processed, realizes the accurate filtering to picture signal Processing；To solve above-mentioned technical problem.

It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection It is interior.