KR102064924B1 - Tv calibration system - Google Patents

Abstract

The present invention relates to a TV calibration system implemented such that each manufacturer can correct a color of a different TV or a monitor to the color similar seen visually. The TV calibration system comprises a color measurement part installed in a screen of a TV to receive light irradiated from the screen and generating color information by decoding the color included in the irradiated light.

Description

TV calibration system {TV CALIBRATION SYSTEM}

The present invention relates to a TV calibration system. More particularly, the present invention relates to a TV calibration system implemented to correct colors of TVs or monitors that are different for each manufacturer to a color similar to that of eyes.

In general, display devices such as monitors have recently been manufactured using optical elements in various forms such as LCDs, LEDs, and OELDs, and are also gradually increasing in their marketability.

Therefore, in order to preoccupy the display market, a lot of researches are being conducted in order to obtain clearer and lifelike images by increasing pixels while increasing image size. In particular, many studies on color correction to obtain a color almost the same as the original are being conducted.

Taking a monitor as an example, color correction is performed using monitor calibration in order to obtain a more accurate and near-real image or image.

A correction method using such a conventional monitor calibration is described below.

First, a color signal is measured by reading a brightness signal using an optical sensor. In this step, the IR filter and UV filter block infrared rays and ultraviolet rays, and the light sensor separates light by wavelength using a color filter so that the optical sensor reads only visible light lines.

The measured color information calculates an error from the "original color". Here, the "original color" refers to a reference value determined based on gamma and color defined by the International Color Consortium (ICC). That is, the error is calculated by correcting the difference between the value obtained through the actual sensor and the "original color" as an error.

When the error calculation is completed, the calibration is completed by profiling the color information.

However, when using the conventional monitor calibration, since it is not possible to check whether the color correction is properly performed, 1) since only one correction step is performed, the accuracy may be lowered when compared with the image to be actually obtained. Information about an error caused by the difference between the color and the color on the monitor can be obtained, but there is a problem that the color cannot be corrected again using this information. Therefore, there is a problem that the trouble of having to correct the corrected color information again may occur.

On the other hand, the background art described above is technical information possessed by the inventors for the derivation of the present invention or acquired in the derivation process of the present invention, and is not necessarily a publicly known technique disclosed to the general public before the application of the present invention. .

Korea Patent Registration No. 10-0331816 Korea Patent Registration No. 10-0504243

One aspect of the present invention provides a TV calibration system implemented so that the light emitted from the TV screen can be analyzed in real time, calibrated to a desired color, and corrected to be close to an actual color.

In addition, the present invention provides a TV calibration system that implements a service providing method that enables users to easily search their favorite video contents.

In addition, the server provides a TV calibration system implemented to manage the emotional quality of the evaluation target service by receiving feedback on the evaluation target service from the use of the evaluation target service.

The technical problem of the present invention is not limited to the technical problem mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

TV calibration system according to an embodiment of the present invention, the color measurement unit is installed on the screen of the TV receives the light irradiated from the screen, and reads the color included in the irradiated light to generate color information; .

In one embodiment, the TV calibration system according to an embodiment of the present invention, by using the color information received from the color measurement unit reads the color value included in the light irradiated from the TV installed with the color measurement unit A calibration server configured to generate a calibration request signal including a calibration value corresponding to a difference between the read current color value and a target color value to be calibrated; And a color correction unit installed at an input terminal of the TV and calibrating corresponding color values by a calibration value included in a calibration request signal received from the calibration server.

In one embodiment, when the color value of the TV is calibrated by the color correction unit, the color measurement unit reads the color included in the light irradiated according to the calibrated color value to generate the calibrated color information to the calibration server Can be sent to.

In one embodiment, the calibration server compares whether the read color value corresponds to a target color value that has been calibrated using the calibrated color information received from the color measuring unit, and if it corresponds to a target color value, When the TV calibration is terminated, and if it does not correspond to the target color value, a calibration request signal including a calibration value corresponding to a difference between the read color value and the target color value to be calibrated until the target color value is matched is output. It may be repeatedly generated and transmitted to the color correction unit.

In one embodiment, the calibration server comprises: Brightness, Contrast, Color & Tint, Gamma, Sharpness, Grayscale, Geometric Screen Uniformity ( A calibration request for at least one or more color values of Geometry, Screen Uniformity, and Contrast Ratio may be transmitted to the color correction unit.

In one embodiment, the calibration server, if there is a calibration request for a specific color from the user terminal installed the TV calibration service providing application, the difference value between the color value currently set in the TV and the target color value for the color requested calibration After generating a calibration request signal including a test calibration value corresponding to the transmitted to the color calibration unit, if the response to the calibration satisfaction is received from the user terminal, the TV calibration is terminated by a TV calibration according to the test calibration value Can be.

In an embodiment, the calibration server may further include: a keyword extraction step of extracting keywords of image content optimized for a calibrated color value; A search word reading step of reading at least one search word related to the keyword by using the extracted keyword; A content search step of searching for video content using a search term read by the video content providing platform; A content list generating step of generating a video content list including the searched at least one video content; A content analysis step of reading video content produced by a video content provider subscribed to by a user or video content performed by a user from among video content included in the generated content list; A guide list generation step of generating a video guide list by rearranging the rankings according to whether the video contents included in the previously generated content list are subscribed to or liked; And a list providing step of providing the generated guide list to the user.

In one embodiment, the calibration server, the user terminal outputs a satisfaction evaluation questionnaire of the TV calibration to request a response to the satisfaction evaluation questionnaire, and analyzes the evaluation response received from the user terminal, The evaluation response can be presented to the evaluator.

In one embodiment, the calibration server, for each family member of the home where the TV is installed, examines the color satisfaction for each genre of content watched by the family member, the content genre with the highest color satisfaction for each family member, the color satisfaction is medium The content genre and the content genre with the lowest color satisfaction are read, and the difference between the average color value of the content genre with the lowest color satisfaction and the color value of the current TV in the color satisfaction evaluation of the family members who have the most viewing time on TV. It generates a calibration request signal including a calibration value corresponding to and transmits the calibration request signal to the color correction unit, and may repeat the color correction process until the family member who has the most viewing time of the TV receives a positive evaluation from the color satisfaction evaluation. .

The calibration server may store a database for each content genre by using the color value optimized for viewing the content for each content genre based on big data as the average color value.

According to one aspect of the present invention, by analyzing the light irradiated from the TV screen in real time and calibrated to the desired color to correct the actual color, a commercially available commercial TV reference monitor / studio monitor at low cost It can provide the effect of setting to have an accuracy similar to.

In addition, the average color value is optimized for viewing the content by genre of the content, and the average color value is read out more quickly and objectively using big data that can include a large amount of data in reading the average color value.

In addition, the user can easily browse his / her favorite video content and provide an effect of receiving the best video experience by receiving a TV calibration optimized for his / her preferred content.

In addition, it is possible to provide an effect of managing the quality of the service to be evaluated by evaluating emotional factors such as service usability and merchandise.

The effects of the present invention are not limited to the above-mentioned effects, and various effects may be included within the scope apparent to those skilled in the art from the following description.

1 is a view showing a schematic configuration of a TV calibration system according to an embodiment of the present invention.
2 is a flowchart illustrating a video guide service method by the calibration server of FIG. 1.
3 to 6 are diagrams illustrating the individual calibration by the calibration server.

DETAILED DESCRIPTION The following detailed description of the invention refers to the accompanying drawings that show, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It is to be understood that the various embodiments of the invention are different but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein may be embodied in other embodiments without departing from the spirit and scope of the invention in connection with one embodiment. In addition, it is to be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. The following detailed description, therefore, is not to be taken in a limiting sense, and the scope of the present invention, if properly described, is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled. Like reference numerals in the drawings refer to the same or similar functions throughout the several aspects.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings.

1 is a view showing a schematic configuration of a TV calibration system according to an embodiment of the present invention.

Referring to FIG. 1, the TV calibration system 10 according to an embodiment of the present invention includes a color measuring unit 100, a calibration server 200, and a color calibrating unit 300.

The color measuring unit 100 is installed on the screen of the TV, receives the light irradiated from the screen, reads the color included in the light being irradiated to generate color information, the network 500 to describe the generated color information described below Through the transmission to the calibration server 200.

The calibration server 200 reads the color values included in the light irradiated from the TV on which the color measuring unit 100 is installed by using the color information received from the color measuring unit 100 through the network 500. The apparatus generates a calibration request signal including a calibration value corresponding to a difference between the read current color value and a target color value to be calibrated, and generates the calibration request signal through the network 500 through the color calibrator 300. To send.

The calibration server 200 having the above-described configuration may execute or manufacture various softwares based on an operating system (OS), that is, a system. The operating system is a system program for enabling the software to use the hardware of the device, and the mobile computer operating system such as Android OS, iOS, Windows Mobile OS, Sea OS, Symbian OS, Blackberry OS, Windows, Linux, Unix, It can include any computer operating system, such as MAC, AIX, or HP-UX.

The color corrector 300 is installed at an input terminal of the TV and calibrates the corresponding color value by the calibration value included in the calibration request signal received from the calibration server 200 through the network 500.

The TV calibration system 10 having the above-described configuration analyzes light emitted from a TV screen in real time, calibrates it to a desired color, and corrects it to be close to a real color, thereby reducing the cost of a commercial TV commercially available. It can provide the effect of setting the accuracy to be comparable to the reference monitor / studio monitor.

The TV calibration system 10 having the configuration as described above may further include a network 500.

The network 500 connects data transmission and reception between the color measurement unit 100, the calibration server 200, and the color correction unit 300, and may include, for example, wireless communication, wired communication, optical ultrasound, or a combination thereof. . Body Area Network (BAN), satellite communications, cellular communications, Bluetooth, Near Field Communication (NFC), Infrared Data Association standard (IrDA), Wireless Fidelity (WiFi), and Worldwide Interoperability for Microwave access (WiMAX) are included in the communication path. Examples of wireless communications that can be used are Ethernet, Digital Subscriber Line (DSL), Fiber to the Home (FTTH), and Plain Old Telephone Service (POTS), which are examples of wired communications that can be included in a communication network. In addition, a communication network may traverse multiple network topologies and distances. For example, the communication network may include a direct connection, a personal area network (PAN), a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), or any combination thereof. In addition, it may be achieved through a low power wide area network including LoRaWAN, NB-Fi, RPMA. However, the network 500, the description of the communication network is not limited to the above-described communication network, any modern data communication network may be applied.

In one embodiment, when the color value of the TV is calibrated by the color corrector 300, the color measuring unit 100 reads the color included in the light irradiated according to the calibrated color value and reads the calibrated color information. It may be generated and transmitted to the calibration server 200 through the network 500.

Accordingly, the calibration server 200 receiving the calibrated color information from the color measuring unit 100 through the network 500, the color value read using the calibrated color information received from the color measuring unit 100. It is compared with the target color value requested for the calibration.

At this time, the calibration server 200 immediately terminates the TV calibration if it corresponds to the target color value, and if it does not correspond to the target color value, the readout color value and the target to be calibrated until it corresponds to the target color value. The calibration request signal including a calibration value corresponding to a difference value from the color value is repeatedly generated and transmitted to the color calibrator 300 through the network 500.

In one embodiment, the calibration server 200 may include brightness, contrast, color & tint, gamma, sharpness, grayscale, and geometric screen uniformity. The calibration request for at least one or more color values among the gender, the screen uniformity, and the contrast ratio may be transmitted to the color correction unit 300.

3 is a white level calibration by the calibration server 200, 4 is a black level calibration by the calibration server 200, 5 is a calibration of the gray scale and color management system by the calibration server 200, 6 is a diagram illustrating gamma calibration by the calibration server 200.

Hereinafter, a comparison will be made before and after each calibration element performed by the calibration server 200 of the present invention.

Referring to FIG. 3, the white blind color is not applied equally to the back of the man wearing the first white shirt in two Before images, some parts are white and some parts are dark, and the wrinkle details of the shirt are too bright to be seen in detail. You can see that.

Assuming that the image is a scene in a mystery movie, if the wrinkle of the shirt is an important double track of the film, the important double track would have been missed without the calibration white level correction.

However, in the case of the right After image, the wrinkle of the white shirt is clearly expressed, and the blind of the back also shows a unified color, so that the three-dimensional appearance certainly comes to life, so that the movie story can be surely enjoyed without being missed.

Next, in the case of the image of the lower male, when the image is assumed to be a scene in CF, the Before image shows that the light is too exposed on the forehead, the detail of the shirt does not live, and the structure behind the complex cannot be concentrated.

However, in the case of the right After image, the structure of the bag is obscured, the balance of darkness and white is balanced, it is clearly soft, and the focus is on the person. Could be.

Referring to FIG. 4, before and after calibrating the black level through calibration, the upper and lower images of the Before image are distributed, and the upper image is distributed with black, so that the facial expression color of the female figure is brightly expressed without giving uniformity. This is all hilarious.

 The image just below it is so accentuated that the face of the man behind it is not visible, the face of the main woman is dark, and the whole screen is dark and the figure is buried.

However, in the After image, after calibrating the black level, the silhouette of the man behind it is seen first, and the overall bright and dark lump is caught, so that it is possible to focus on the expression of the woman who appears to be the main character. You can see the detail of the dark part comes to life.

Referring to FIG. 5, the items of grayscale and CMS (color management system), which are one of the main items of calibration, will be described.

The Before image of FIG. 5 is a screen before calibration, and the skin color is too yellow or the skin tone is blown away. The background color of the left image is too soft and the color of the top looks unnatural, and the right image also looks yellowish. Can be.

The grayscale operation maintains the color temperature of white at 6500K, calibrating too bluish or yellowish white to standard white.

CMS refers to the process of correcting the output of skin tones and the correct colors of the main colors. Work is done to ensure that the values measured with the color meter exactly match the RGB values of the original colors. In other words, the color accuracy on the TV screen is matched with the RGB values on the chart.

To sum up, the calibration Grayscale calibration adjusts the white to red or blue to white at the D65 color temperature, while the CMS adjusts the RGB / CMY primary and secondary colors.

Referring to FIG. 6, calibration of gamma is performed by adjusting midtones on the screen so that a stable screen can be seen, and brightness (black level calibration) is simply specifying the darkest black. This affects the overall gray tone (midtone) and adjusts how fast white turns black. The first picture of FIG. 6 is gamma 2.5, the second is 1.9 and the third is 1.5.

The lower the gamma, the lower the speed of the midtones from white to black, and the higher the gamma, the faster the speed from white to black. If the gamma is too high, the picture will be dark overall and the details of the dark areas will be less visible.

Normally, calibration is performed with gamma 2.4 (OLED) and BT 1886 (LCD) in night mode and gamma 2.2 in day mode.

In one embodiment, the calibration server 200, if there is a calibration request for a specific color from the user terminal 400, the TV calibration service providing application is installed, the target color for the currently set color value and the calibration request color A calibration request signal including a test calibration value corresponding to a difference value from the value may be generated and transmitted to the color calibrator 300 through the network 500.

The color calibration unit 300 receiving the calibration request signal through the network 500 calibrates the color of the TV according to the test calibration value included in the received calibration request signal.

After the calibration by the color calibrator 300 is completed, when a response to calibration satisfaction is received from the user terminal 400, the calibration server 200 terminates the TV calibration by TV calibration using a test calibration value.

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Here, the user terminal 400 is a wired / wireless network, such as a mobile communication terminal widely used by the general public, such as a notebook computer, a smart phone, a tablet computer, as well as a desktop computer (PC). It is a broad concept that means various kinds of information communication devices and multimedia devices that support it.

In addition, the user terminal 400 is installed with a program implemented to perform the TV calibration system 10 according to an embodiment of the present invention, such a program is implemented to be executed independently or can be executed through a web page It may be implemented to.

Next, the calibration server 200 may provide a video guide service, which will be described later, to the user.

The video guide service method for providing a video guide service by the calibration server 200 first extracts keywords of image content (for example, a movie, a documentary, news, or children's content, etc.) optimized for a calibrated color value (S110). ).

In one embodiment, the calibration server 200 may be stored in the database after searching the keyword for each image content in advance to extract the keyword.

Using at least one keyword extracted in step S120 described above, at least one keyword related to the keyword (for example, when image content is a movie, fear, romance, comedy, SF, travel, etc.) is read (S120).

The video content is searched by the video content providing platform using the search word read in step S120 (S130).

At this time, the video providing platform for search may be applied to any platform currently providing video content without regard to its name, but as of 2019, Google's "YouTube" which provides the best quality video content is available. It would be desirable to perform a search using.

In operation S140, a video content list including at least one video content found in operation S130 is generated.

From the video content included in the content list generated in step S140 described above, the video content produced by the video content provider subscribed to by the user or the video content performed by the user is read (S150).

The video guide list is generated by rearranging the video contents included in the content list previously generated in the above-described step S140 according to whether the subscription or the like is read in the above-described step S150 (S160).

The guide list generated in step S160 described above is provided to the user (S170).

Through the video guide service by the calibration server 200 having the steps as described above, the user can not only easily search for the video content he / she prefers, but also receive a TV calibration optimized for his / her preferred content. The video experience will be available.

In an embodiment, the calibration server 200 requests a response to the satisfaction evaluation questionnaire by outputting the satisfaction evaluation questionnaire of the TV calibration from the user terminal 400, and analyzes the evaluation response received from the user terminal 400. The evaluation response to the evaluation questionnaire can be presented to the evaluator.

To this end, the calibration server may include an evaluation questionnaire providing unit, a service response analysis unit, and a service quality management unit (each configuration is not shown in the drawings for convenience of description).

The evaluation questionnaire provider may request a response to the evaluation questionnaire by outputting an evaluation questionnaire for service evaluation in the user terminal.

For example, the evaluation questionnaire providing unit may control the evaluation questionnaire to be output from the user terminal when the evaluation target service in the user terminal is terminated. The evaluation questionnaire may include at least one question for evaluating the emotional component of the service (TV calibration according to the present invention). Although the evaluation questionnaire is configured to request a response to the questionnaire in a subjective manner, the evaluation questionnaire may be configured in a multiple choice form to select at least one answer in consideration of the genre of the service to be evaluated and the age of the place of use. Of course you can.

The evaluation questionnaire providing unit may obtain a response input through the user terminal with respect to the evaluation questionnaire, and deliver the response to the service quality management unit, which will be described later.

The evaluation questionnaire providing unit may check an item in which a response is not input in the evaluation questionnaire including at least one item. The evaluation questionnaire providing unit may re-request a response to the corresponding item to the user terminal when an item of the evaluation questionnaire including at least one item is not inputted.

For example, the evaluation questionnaire providing unit may re-request a response to the corresponding item for a first time to the user terminal when an item for which no response is input in the evaluation questionnaire is 1/3 or less of all items.

When the first time elapses, the evaluation questionnaire provider may transmit the evaluation questionnaire data to a service response analyzer, which will be described later, regardless of whether a response of an item for which a response is not input is input. This is because the service response analysis unit analyzes the response history, infers a response to an item for which no response is input, and verifies the reliability of the evaluation questionnaire. A detailed description thereof will be provided later.

The evaluation questionnaire provider may re-request a response to the corresponding item for a second time to the user terminal when the item in which the response is not input in the evaluation questionnaire is 1/2 or more of all items. The second time may be longer than the first time.

When the second time elapses, the evaluation questionnaire providing unit may check an item in which a response is input among items in which a response is not input.

The evaluation questionnaire provider transmits the evaluation questionnaire data to the service response analysis unit to be described later only when the response response request for re-requesting the evaluation questionnaire is 1/2 or more among the items for which no response is entered, and vice versa. You can discard the data. As described above, the service response analysis unit analyzes the response history and infers a response to an item for which no response is entered in the evaluation questionnaire. When there are too many items for which no response is entered in the evaluation questionnaire, quality management of the evaluation service by the evaluation questionnaire is performed. This is because the reliability of.

As such, the evaluation questionnaire providing unit controls the output of the evaluation questionnaire including at least one item capable of evaluating the emotional element of the evaluation target service to the user terminal, and receives the response of the evaluation questionnaire from the user terminal to provide the corresponding evaluation questionnaire data. The response analysis unit may be provided, and the response of the evaluation questionnaire may be re-requested to the user terminal according to the number of response items of the evaluation questionnaire.

The service response analyzer may analyze the service by receiving the response details from the user terminal. The service response analyzer may infer a response to an item for which a response is not input in the evaluation questionnaire and verify the validity of the evaluation questionnaire according to the response history analysis result of the use place.

The service response analyzer may calculate the frequency of appearance of the positive word and the negative word by analyzing the response history for each item of the evaluation response received from the user terminal. To this end, the service response analyzer may select and store at least one positive word and at least one negative word in advance. For example, a positive word may be a word related to satisfaction or recommendation, and a negative word may be a word related to disappointment. The service response analysis unit analyzes the response history of each evaluation response of the evaluation target service, and calculates the frequency of appearance of the positive and negative words by counting the number of times when a word classified as a positive word or a negative word appears. have.

The service response analysis unit may analyze that if the frequency of the positive words is more frequent than the frequency of the negative words in each response history of the service to be evaluated, the emotional component of the service to be evaluated at the corresponding location is positive. In the opposite case, it can be analyzed that the emotional component of the service to be evaluated at the point of use is negative.

Alternatively, the service response analyzer may analyze the response history to determine whether a word related to a predetermined emotional factor evaluation appears. When the word related to the evaluation appears in the response history, the service response analyzer may predict the opinion about the emotional element of the user by checking the word before and after the word.

As such, the service response analysis unit analyzes the response history of the place of use to predict positive or negative elements of the overall place of use for the service to be evaluated. Alternatively, the service response analyzer may predict the opinion of the user with respect to the predetermined specific emotional element in a positive or negative manner.

The service response analyzer may infer a response to an item for which an answer is not input in the evaluation questionnaire using the response history analysis result of the use place.

For example, the service response analyzer may infer the response of the evaluation questionnaire item in which the response is not input as a preset positive example response when the emotional factor of the use for the service to be evaluated is positive.

On the other hand, the service response analyzer may infer a response to an item for which no response is entered in the evaluation questionnaire, using the age, gender, service area, etc. of the location when the emotional component of the location is not predicted for the service to be evaluated. . Inferring the response using the age, gender, service area, etc. of the place of use infers the response of the other place of the same age, gender, service area, etc. as the response of the place of use.

Here, the service response analyzer may suspend a positive or negative prediction of the use place for the evaluation target service when a difference between the occurrence frequency of the negative word and the appearance frequency of the positive word is less than or equal to a predetermined reference value in each response history of the evaluation target service.

As such, the service response analyzer may infer a response to an item for which an answer is not input in the evaluation questionnaire using at least one of an age, a gender, and a service area as a result of analyzing an emotional factor of the use place for the service to be evaluated.

The service response analyzer may verify the validity of the evaluation questionnaire responded by the user using the result of analyzing the response history of the user.

For example, the service response analyzer may classify the expected response for each item of the evaluation questionnaire into positive or negative and store it in advance. The service response analysis unit checks whether the response of the evaluation questionnaire prepared by the user is classified as positive or negative, and matches the two results by checking whether the emotional component of the user is classified as positive or negative as a result of analyzing the response history of the user. can do. The service response analysis unit may assign a response validity score of the corresponding use site according to whether the classification of the response of the evaluation questionnaire prepared by the use site corresponds to the classification of the positive or negative response result analysis result of the use site. That is, for each item of the evaluation questionnaire, the service response analysis unit adds the response validity score of the corresponding site when the positive or negative classification of the response prepared by the user and the positive or negative classification of the response history analysis result of the user correspond to each other, and vice versa. In this case, the response validity score of the corresponding use place may be given by subtracting the response validity score of the use place.

The quality of service management unit may present an evaluation questionnaire response written by the user to the evaluator.

The service quality management unit may present a separate mark on the item inferred from the evaluation questionnaire response by the service response analysis unit to the evaluator. At this time, the service quality management department may also present the reasoning for the evaluation questionnaire response.

The service quality management unit may present the response validity score of the place of use to the evaluator.

Accordingly, the evaluator can check the evaluation questionnaire where all the responses are completed and can perform quality control by evaluating the emotional factors for the service to be evaluated.

In one embodiment, the calibration server 200 examines color satisfaction for each genre of the family member of the home in which the TV is installed, by content genre viewed by the family member, and content genre and color satisfaction with the highest color satisfaction for each family member. The content genre whose content is intermediate and the content genre with the lowest color satisfaction can be read.

In this case, the calibration server 200 stores the database color by content genre using the optimized color value as the average color value for viewing the corresponding content for each content genre based on the big data, so as to read the above TV color value. It can be utilized.

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That is, by utilizing the big data generated by accumulating and managing the color values of the preferred content genres of the users who have been provided with the calibration service according to the present invention, the color values optimized for viewing of the corresponding content by the content genres are selected from the average color values. By calculating, the average color value can be read more quickly and objectively by using big data that can include a large amount of data in reading the average color value optimized for viewing the content for each content genre.

The term '~' used in the above embodiments refers to software or a hardware component such as a field programmable gate array (FPGA) or an ASIC, and '~' serves a part. However, '~' is not meant to be limited to software or hardware. '~ Portion' may be configured to be in an addressable storage medium or may be configured to play one or more processors. Thus, as an example, '~' means components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, procedures, and the like. Subroutines, segments of program patent code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables.

The functionality provided within the components and 'parts' may be combined into a smaller number of components and 'parts' or separated from additional components and 'parts'.

In addition, the components and '~' may be implemented to play one or more CPUs in the device or secure multimedia card.

The above-described embodiments are for illustrative purposes, and those of ordinary skill in the art to which the above-described embodiments belong may easily change to other specific forms without changing the technical spirit or essential features of the above-described embodiments. I can understand. Therefore, it is to be understood that the above-described embodiments are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope to be protected by the present specification is represented by the following claims rather than the above description, and should be construed to include all changes or modifications derived from the meaning and scope of the claims and their equivalents. .

10: TV calibration system
100: color measurement unit
200: calibration server
300: color correction unit
400: user terminal

Claims (2)

A color measuring unit installed on the screen of the TV to receive light emitted from the screen and reading color included in the irradiated light to generate color information;
The color information included in the light irradiated from the TV installed with the color measuring unit is read using the color information received from the color measuring unit, and the value of the difference between the read current color value and the target color value to be calibrated. A calibration server for generating a calibration request signal including a corresponding calibration value; And a color correction unit installed at an input terminal of the TV and configured to calibrate corresponding color values by a calibration value included in a calibration request signal received from the calibration server.
When the color value of the TV is calibrated by the color calibrator, the color measuring unit reads the color included in the light irradiated according to the calibrated color value, generates calibrated color information, and transmits the calibrated color information to the calibration server.
The calibration server compares whether the read color value corresponds to a target color value that has been calibrated using the calibrated color information received from the color measuring unit, and when the target color value corresponds, ends the TV calibration. If the color does not correspond to the target color value, the color is repeatedly generated by generating a calibration request signal including a calibration value corresponding to a difference between the read color value and the target color value to be calibrated until the target color value corresponds to the target color value. Sent to the calibration department,
The calibration server may include brightness, contrast, color & tint, gamma, sharpness, grayscale, and geometry uniformity. And transmit a calibration request for at least one color value of the contrast ratio to the color correction unit.
When the calibration server receives a calibration request for a specific color from a user terminal on which a TV calibration service providing application is installed, the calibration server corresponds to a test calibration corresponding to a difference between a color value currently set on the TV and a target color value for the calibrated color. After generating a calibration request signal including a value and transmitting the calibration request signal to the color calibrator, if a response to calibration satisfaction is received from the user terminal, the TV calibration is terminated by a TV calibration based on a test calibration value.
The calibration server may include a keyword extraction step of extracting keywords of image content optimized for a calibrated color value; A search word reading step of reading at least one search word related to the keyword by using the extracted keyword; A content search step of searching for video content using a search term read by the video content providing platform; A content list generating step of generating a video content list including the searched at least one video content; A content analysis step of reading video content produced by a video content provider subscribed to by a user or video content performed by a user from among video content included in the generated content list; A guide list generation step of generating a video guide list by rearranging the ranking according to whether the video contents included in the previously generated content list are subscribed or liked; And providing a video guide service to the user through a list providing step of providing the generated guide list to the user.
The calibration server requests a response to the satisfaction evaluation questionnaire by outputting the satisfaction evaluation questionnaire of the TV calibration at the user terminal, analyzing the evaluation response received from the user terminal, and evaluating the evaluation response to the evaluation questionnaire. Present to
The calibration server examines color satisfaction for each genre of the family members watched by each family member in the home where the TV is installed, the content genre with the highest color satisfaction for each family member, the content genre with the middle color satisfaction, and the color. Read the content genre with the least satisfaction,
The calibration server is a TV calibration system for storing the database by content genre, using the color value optimized for viewing the content for each content genre based on big data as the average color value. delete

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