KR20080029484A - Application, system for measuring image preference and method for operating the same - Google Patents

Abstract

An application and a system for measuring image preference and an operating method thereof are provided to enhance an image search scheme and a priority determination scheme and thus to help search for high quality images by extracting preference of a user for each image and transmitting the preference to an image search server. An application for measuring image preference comprises an image acquisition unit(310), an image display editor(312), an image preference measuring unit(314), an image preference storage database(318), an image storage unit(316), a controller(302), a display unit(306), an input unit(304) and a wired/wireless communication unit(308). The image acquisition unit acquires plural images which forms an overall screen of a user terminal. The image display editor receives user setup values of selective items related to a position displayed on the overall screen or a size with respect to each acquired image, and performs an editing task. The image preference measuring unit extracts image preference from the user setup values. The image preference storage database stores the measured image preference. The image storage unit stores the acquired images, the user setup values of the selective items with respect to each acquired image, and information related to each image. The controller includes an algorithm for displaying the acquired images on the overall screen of the user terminal according to edition setup of the selective items and transmitting the image preference, extracted from the edited setup values, to an external image search server over wired/wireless communication networks. The wired/wireless communication unit supports the communication with a general sever, an image search sever, a general web sever, etc. and an image preference measurement application transmits and receives data with those severs according to the protocol of the wired/wireless communication unit.

Description

Application, system for measuring image preference and method for operating the same}

1 is a diagram illustrating a state of measuring image preference according to an embodiment of the present invention.

2 is a diagram illustrating a state in which a split screen is displayed on a full screen of a user terminal according to an exemplary embodiment of the present invention.

3 is a block diagram illustrating an image preference measurement application according to an exemplary embodiment of the present invention.

4 is a flowchart illustrating a step of measuring each image preference and transmitting the image preference to an external search server according to an exemplary embodiment of the present invention.

5 is a diagram illustrating a preview / editing tool according to an embodiment of the present invention.

6 is a flowchart illustrating a process of acquiring an image through an image server by referring to a search result of an image search server according to an exemplary embodiment of the present invention.

7 is a flowchart illustrating a process of acquiring using a feed such as RSS according to an embodiment of the present invention.

8 is a flowchart illustrating a process of acquiring a specific image in a web document according to an embodiment of the present invention.

9 is a flowchart illustrating a process of acquiring an image from a general web browser according to an embodiment of the present invention.

FIG. 10 is a state diagram illustrating an image preference measuring system measuring an image preference using a web server according to an exemplary embodiment of the present invention.

FIG. 11 is a block diagram illustrating an image preference measurement application further including an image retrieval unit and a feed unit as another embodiment of the present invention.

12 is a display example according to a crop / no-crop selection state according to an embodiment of the present invention.

* Description of the symbols for the main parts of the drawings *

100: user terminal 110: image search server

120: image server 130: feed server

140: general web server 302: control unit

304: input unit 306: display unit

308: wired and wireless communication unit 310: image acquisition unit

312: image display editing unit 314: image preference measuring unit

316: image storage unit 318: image preference storage DB

The present invention relates to an image preference measurement application, a system, and a method of operating the same, and more particularly, to measure an image preference of each image displayed on a full screen of a user terminal and transmit the same to a image search server. Improve image trust of the server.

Due to the development of information and communication technology, the development of information providing technology that provides real time information to various subscribers through at least one host server through a long distance data communication network is actively underway. Due to this technical environment, numerous users can quickly access information such as images, videos, texts, and audios they want to search by accessing the search server, and access various search results in real time. It effectively reduces the time it takes to share.

Recently, as the spread of digital camera devices is activated, a large amount of images are produced by general users, and image information can be easily obtained and shared by the generalization of the Internet. This trend not only increases the importance of images occupying blogs, news, portals, search, image sharing sites, etc., but also requires the efficient search method for these images by circulating a large amount of images.

However, image information is not easy to automate the grasping of contents and often relies on subjective aesthetics, so it is not easy to distinguish unnecessary and useful information from users. As a result, personally taken images are often stored unattended in storage without being classified / selected.

In addition, a search result of an image search engine that searches for images in images (or sites sharing images) that are publicly available on the Internet may not meet the search intentions or the aesthetic / technical quality of the images may be poor.

Conventionally, in order to select a high quality image by reflecting the user's preference, a system for allowing a user to directly assign an evaluation score to an evaluation searched image is operated, but most members (users) acquire images only at the level of acquiring information. It only uses a search engine and is passive in assigning a score to the retrieved image. It is extremely rare for a user to actively give an evaluation score because the act of giving an evaluation score to a large amount of images itself requires a lot of time and effort of the user. Therefore, there is a problem that it is virtually impossible to search and select a high quality image based on user preference based on the evaluation scores given by users.

The present invention has been made to solve the above problems, and aims at facilitating users to utilize more various images by facilitating a method of obtaining and displaying an image. In addition, by extracting the user's image preference for each image and forwarding to the image search server, it is intended to help to search for a good image by improving the search method and ranking in the image search.

In order to achieve the above object, the image preference measurement application of the present invention comprises: an image obtaining unit for obtaining a plurality of images constituting the entire screen of the user terminal, and for each of the obtained images to be displayed on the full screen of the user terminal. An image display editing unit that receives and edits a user setting value of a selection item related to a position and size, an image preference measuring unit which extracts an image preference indicating a user's interest in each image from the user setting value of the selection item, and the measurement An image preference storage database for storing an image preference, an image storage unit for storing the acquired plurality of images and a user setting value of the selection item for the images and related information about the images; Multiple images According to the edit set of select items displayed on the full screen of the user terminal, and includes a control unit having an algorithm for sending an image preferences extracted from the edited setting value of the selected item to the external image search server via a wired or wireless network.

The image preference measuring method of the present invention includes obtaining a plurality of images that will constitute a full screen of a user terminal, and selecting items related to the position and size to be displayed on the full screen of the user terminal for each of the acquired images. Receiving a user setting value of the user; dividing and displaying a plurality of images on the entire screen according to a user setting of the selection item by varying its size and position; and each image from the user setting value of the selection item Extracting an image preference indicating a user's interest in the; and transmitting the extracted image preference to an external image search server through a wired / wireless network.

In addition, the image preference measuring system of the present invention, a user terminal for displaying a plurality of images on the full screen and transmits a user setting value of a selection item related to the image size and position to an external image preference measurement server, the user terminal Provides a preview / editing tool to the user terminal for retrieving and requesting an image and providing the image to the user terminal and editing a display form of a plurality of images displayed on the full screen of the user terminal. And an image preference measurement server for measuring an image preference from a user setting value of a selection item displayed and edited using the preview / editing tool and transmitting the image preference server to an external image search server.

Hereinafter, the detailed description of the preferred embodiments of the present invention will be described with reference to the accompanying drawings. In the following description of the reference numerals to the components of the drawings it should be noted that the same reference numerals as possible even if displayed on different drawings.

1 is a diagram illustrating a state of measuring image preference according to an embodiment of the present invention.

The user terminal 100 (for example, a computer, a wireless terminal, etc.) of the present invention is provided with an image preference measurement application that performs a function of transmitting image acquisition, image display, and image preference to the image search server 110. The user terminal refers to a concept including a wireless terminal such as a computer, a mobile phone, a PDA, such as a desktop, a notebook, and the like, and the application thereof is not limited. The image preference measurement application is downloaded and installed through the Internet as a predetermined application execution program, and acquires various image files by a simple user's command, according to the user preferences on the full screen (desktop, screen saver, etc.) of the user terminal. After displaying as multiple images, the preference information is transmitted to the image search server 110.

In this case, the images displayed on the full screen of the user terminal 100 may be displayed in different sizes according to the user's interest (user preference), and the user preferences are transmitted to the image search server so that the image search server searches for the image. It will be used as a standard. Accordingly, the present invention can be effectively used to search for an image by measuring the image preference since the image preference according to the user's image selection is automatically transmitted to the image search server 110 without providing the artificial evaluation score of the user as in the related art.

In more detail, first, the image preference measuring application has a step of acquiring images that constitute the entire screen of the user terminal, wherein the image acquisition is performed by referring to a search result of the image search server 110. Acquisition through the 120, or by using the feed server 130, or may be obtained through the general web server 140.

In the above, the image server is a concept including not only a server sharing an image but also all web servers including image data. Hereinafter, an image server refers to a concept including all servers on the web capable of providing an image. The methods of acquiring an image in the image preference measurement application will be described later with reference to FIGS. 6, 7, 8, and 9.

After the image acquisition is completed as described above, the images obtained as shown in Fig. 2 (a) can be divided and displayed on the full screen of the user terminal in equal size. Alternatively, the image preference measurement application of the present invention arranges multiple images on the full screen.

As shown in FIG. 2 (a), a plurality of images may be equally arranged and divided and displayed, but the present invention receives a user's preference selection (user setting value of a selected item), converts and edits each image into various sizes, and then displays a user terminal. The display is divided into full screens as shown in FIG. The user may want to display an image with low subjective / aesthetic satisfaction at all or display it in a small size, and the high satisfaction image will be displayed for a long time and in a large area. In addition, when the interest in the related image is high, the related information (the web site or additional information) of the corresponding image is read. As described above, the image preference measurement application extracts the image preference for the user's image by inducing the user's image selection / utilization behavior. The image preference may be information indicating quality evaluation, satisfaction, or interest of the user's image.

The image preference measurement application transmits the extracted image preference to the image search server 110 so that the image search server 110 can use the image search result ranking.

3 is a block diagram illustrating an image preference measurement application according to an exemplary embodiment of the present invention.

The image preference measurement application is a program installed inside a user terminal, which is downloaded and installed from a specific site, and provides a user interface (UI) window when it is driven. The image preference measurement application includes a controller 302, a display unit 306, an input unit 304, a wired / wireless communication unit 308, an image acquisition unit 310, an image display editing unit 312, an image preference measurement unit 314, and an image. A storage unit 316 and an image preference storage database 318 are provided.

The display unit 306 is a display device such as a TFT-LCD, and various images are displayed on one full screen in a desktop mode, a standby screen mode, a screen saver mode, and the like. As shown in FIG. 2 (b), the displayed images are divided and displayed on the display unit through an editing process such as deletion or reduction / magnification of the size. It will be apparent that the divided display may be in the form of a checkerboard as shown in FIG. 2 (b) or may be divided into other forms. In addition, the size and shape of each image may also be displayed to be different from each other.

 The input unit 304 is a function unit for receiving various setting values from a user, and performs a function for receiving a selection item user setting value, which is an image editing command input from the user through a mouse, a keyboard, or the like.

The wired / wireless communication unit 308 is a communication network supporting data communication with a general web server, an image search server 110, an image server 120, a feed server 130, a general web server 140, and the like. Data communication is performed with the servers according to a protocol of a wired / wireless communication unit. The wired / wireless communication unit may use a wired communication method such as Ethernet, Universal Serial Bus, IEEE 1394, serial communication, and parallel communication, and wireless LAN. A wireless communication method such as a LAN may be used.

The image acquisition unit 310 performs a function of acquiring images constituting the full screen of the user terminal. If the image corresponds to a search target of the image search server, the image acquisition unit 310 may acquire an image by varying a path for acquiring the image. . Therefore, the image acquisition may be obtained through an image server having a corresponding image URL by referring to a URL of an image that is a search result of a predetermined image search server, or by checking a specific feed URL at regular intervals using a feed such as RSS, the corresponding URL. When there is a new post in the notification can be obtained or obtained, certain images in the web document by a certain rule, or obtain images from a general web browser. The image acquisition methods will be described later with reference to FIGS. 6, 7, 8, and 9.

The image display editing unit 312 performs a function of editing the images to be displayed on the full screen of the user terminal and the display size of these images. When a user receives input related to an option user setting value (except for image display, image reduction, image size enlargement, etc.) that is an image editing command, the images are displayed on the entire user terminal according to the user setting value of the selected option. The entire display window is configured and edited as shown in FIG. 2 (b) by determining whether to display on the screen or exclude it or to display the image by reducing / enlarging the size. In addition, the image display editing unit 312 provides information for displaying related information obtained at the time of image acquisition or for viewing a web page including the image through an interface provided to each image. The image display method may be edited to be uniformly arranged in a checkerboard format as shown in FIG. 2 (b) or to be arranged on the screen in different shapes and sizes in different shapes for each image. It can also provide a preview viewing function.

The image preference measurer 314 measures the image preference for the display edited image. The image preference may be extracted from a user setting value of a selection item set at the time of editing. For example, when the user preference value of the selection item is set to exclude an image from a full screen, the image preference may be included as an image preference. do. Therefore, the image preference extracted (measured) from the user-set value of the selection item includes whether the display is excluded from the screen, whether the image is stored in the storage box, the time remaining on the screen, and the area of the image displayed on the screen. Information, time and area information exposed on the screen, whether and how many times the original image or a large image has been viewed, whether or not the relevant information about the image has been viewed, whether and how many times the webpage containing the image has been viewed, and other highly relevant variations. Whether and how many times the image is retrieved or acquired, and the number of additional changes related to the image.

The image storage unit 316 is a memory area that stores an image displayed on a screen, and is a memory unit in which a corresponding image is stored when the user is interested and wants to store it. When each image is stored, the URL address of the image is stored as a role of the index, and related information is stored in addition to the URL address of the image. For example, information included in a search result made by an image search server ( The URL includes the URL of the original web page that contains the image, the title of the image, the description of the image, the tag of the image, the time of the image posting, and the unique identifier assigned to each search result by the image search server. It is stored together with the storage unit.

The image preference storage database 318 is a database in which the preferences measured by the image preference measuring unit 314 are stored. Whether the image is excluded from the display, whether the image is stored in the storage box, the time displayed on the screen, The area information of the image displayed on the screen, whether and how many times the original image or large image is viewed, whether or not the related information about the image is viewed, whether and how many times the web page including the image is viewed, and other similar images with high relevance. Item information is stored for each image for each item of preference, such as the number of retrieval or acquisition attempts and the number of times of retrieval, and the number of additional changes related to the image. The image preferences stored in the image preference storage database are finally transmitted to the image search server 110.

The controller 302 is a main task that controls each of the functional units, and calls each functional unit to execute the corresponding functional unit. For example, during a flow that requires the download of an image, an interrupt signal is generated to call the image acquisition unit to acquire an image, and when an image is to be edited and displayed on the full screen, the image display editing unit is called. If the image preference is to be measured, the image preference measurement unit is called to measure the image preference. In addition, the controller 302 transmits the measured image preference to an external image search server 110, which will be described later with reference to FIG. 4.

4 is a flowchart illustrating a step of measuring each image preference and transmitting the image preference to an external search server according to an exemplary embodiment of the present invention.

First, the image preference measurement application in the user terminal has a step (S402) of obtaining an image through various paths. The basic concept of acquiring the image may be obtained by searching the URL of the image and accessing the URL where the image is located. Therefore, the image acquisition (S402) is obtained through the image server 120 by referring to the search results of the image search server 110, by using a feed such as RSS, or obtain a specific image in a web document, There may be various methods such as obtaining an image from a general web browser. Various methods of acquiring the image will be described later with reference to the flowcharts of FIGS. 6, 7, 8, and 9.

After acquiring the images (S402) as described above, the selected items for each of the obtained multiple images After receiving (editing) the user setting value, the divided display is displayed on the full screen of the user terminal as shown in FIG. That is, images are displayed on the entire screen using a desktop, a screen saver, or a simple operation. The images displayed on the full screen may be displayed with the web page address including the relevant information or the image obtained when the image is acquired.

The image preference measurement application provides an image preview / editing tool as shown in FIG. 5 to edit each image (enter optional user setting value). The user may perform editing such as deleting, adding, changing position and size, and adding a display of related information, etc., by using the image preview / editing tool. Using this editing information (optional user setting value), the user can select and utilize images according to the preference, and the image measuring application measures the image preference for each item from the image editing information (optional user setting value) (S406). )do.

The reason for extracting and measuring the image preference from the edit information (enter the selection item user setting value) is as follows. In general, an image displayed in a web browser or an image viewer cannot be viewed when the corresponding program is closed. In order to view the image again, a process of re-executing and viewing the program is required. On the other hand, the desktop can be viewed at any time by closing or minimizing other applications. If you use a screen saver or full screen, you can display only those images without displaying another program. Also, the desktop doesn't have more features like scrolling, so several to tens of images are selected for display. Due to the characteristic of displaying several to several dozen images from time to time, the user has a tendency to select only images that best match the preferences.

In order to edit a plurality of images and display them on one full screen, an editing function is provided according to a user's preference. Such an editing function may be implemented in a wide variety of ways. Some of the examples are described.

-Clicking the right mouse button on the desktop image displays the context menu so that the user can select the corresponding function (shell extension programming for Windows O / S is possible. In this case, the program does not need to be executed at all times. It can be executed only when a menu item is selected).

-Monitor the user's mouse input (hooking in the case of Windows O / S) while operating the image preference measurement application of the present invention and move the mouse cursor in a certain pattern or click on the desktop instead of the general window program. When the operation is performed, it detects it and performs the predetermined operation.

-The editing program, full screen, and screen saver using the preview window support all the operation methods of general GUI program, so more various interface configurations are possible. An example of the preview / edit tool is shown in FIG. 5, which is displayed in the form of a pop-up window to display a toolbar and a preview image.

In addition, the image preference measurement application provides a function of inputting a selection item user setting value to edit the selection item independently according to user preference for each image. An example is described in Table 1 below.

[Table 1],

Selection Item Name Contents Unwanted image removal When you search on the search site, you select only the images you want, but the images on the desktop remove the unwanted images because there is a need to remove the inappropriate images. The image is deleted from the screen, and the time remaining and removed on the desktop is recorded. Image position adjustment Changes the position on the 2D screen or the position that determines the Z-order when two or more images overlap on the screen. This will affect the exposure area of each image. Image resizing function Resize each image to display larger images with higher preferences and smaller images with less importance. Image display function in separate drive program Runs an image that is larger than the original size or the image displayed on the desktop on a separate screen, or to be displayed by the default program of the image file extension. The original size image may be extracted and displayed from an image storage unit in an image preference measurement application, but may be directly accessed to a corresponding URL to acquire and display the corresponding image. Image related information storage function Unlike web documents that display text information together, the desktop consists of minimal text or purely images, so users can view more relevant information about the images of interest. Related Information shows the information you saved when you acquired the image. There are several ways to display information, such as balloon tips around the image, a fixed area such as a status bar, or creating a separate screen area. May be present. Information related to the image can be displayed in whole or in part. The information displayed here is stored in the process of acquiring the image. The relevant information may include a title (the title of the image provided in the search results, or the title of the post in the feed), a description or summary (a description provided in the search results, or a description of the post in the feed), and an original web page containing the image. URL, summary word (tag; search result or feed tag information), image acquisition path method (search, feed, select from web browser, analysis from web page), search server name and search condition, feed site (blog) , Photo news), URLs, names, etc. Image viewing function with web browser in user terminal Support to view the web page containing the original image using a web browser installed on the user terminal. In the case of Windows O / S, when the URL is executed, the OS enters the default web browser for viewing. Relevant similar image search function Provides the ability to further search for other similarly relevant images. In the case of the image obtained by the search, the user can search for another image using the same search condition, and set the search condition to search for similar images using the information obtained from the search result, and modify the final search by the user. To help. For example, if the image searched by the term 'color' has three tags, color, red, and sky, you can set three terms to be searched further by the AND condition. If the search server supports the image author name, the image author name can be set. If the search is possible with the group to which the image belongs (a sort of user, such as a group), the image can be set to search the image of the group to which the image belongs. Similarly, in the case of an image acquired by a feed, it can be set to have another image included in the same post or to acquire another image included in the same feed. Favorites feature It provides a library like a bookmark and allows the user to save image data and related information so that it can be displayed and viewed again on the desktop later.  Related Information Additional Functions Provides the ability for the user to make additional changes to the relevant information about the image. In general, tags are added by the author of the content as well as by viewers. In addition, as described above, it may be possible to store and view a description of an image from a search and a feed, thereby allowing a user to add a personal description. In addition, it is possible to provide a function for further describing the evaluation information of the user. In the above, if the user adds a tag, it is sent to the search server. Adding summary words can be used to measure preferences because they show interest in the image. However, if you add a description of the individual because it is the nature of the memo for the individual's memory is not sent to the search server. crop / no-crop selection function Currently, the method of arranging a plurality of photographs is commonly used to crop a photo to fill a square checkerboard. In this case, there is an advantage of displaying a photo using the maximum of the rectangular space, but the human face is often cut off (Figure 12 on the left). Thus, without cropping the picture (no-crop), the content of the picture may be shortened so that the whole image is displayed, and instead, a method of filling the remaining space with a specific color (black) may be provided (right picture in FIG. 12). Image recognition algorithms may detect whether a person's face is to be cropped or not, but it may be difficult to automate the determination of whether cropping is better or not. Therefore, when displaying the photo on the desktop, it provides a way to switch between cropping and non-cropping. Provides the ability for the user to switch between two states based on individual preferences. When the information is transmitted to the search server, the characteristic of the picture may be determined by accumulating the selection setting information of a plurality of users. Therefore, crop / no-crop selection function is provided for previewing / editing the picture, and the selection is transmitted when the user's preference is transmitted.

On the other hand, there may be a way to select a variety of areas for displaying the image obtained by the specific search word on the full screen (desktop) of the user terminal, the board in displaying a plurality of images on the full screen (desktop) It can be placed uniformly in the form, or in different sizes and positions for each image. Depending on the user, the desktop may not be exposed by using other applications. Therefore, in order to view the desktop, there is a problem of returning to the original state after exiting or minimizing other programs. For this case, the screen saver and the full screen display function can show the images shown on the desktop. The full screen display is a simple operation (menus, icons, buttons, hotkeys, etc.) that represents a significant portion of the screen display on top of other programs. When two or more monitors are used at the same time, it includes not only how to display all the monitors but also the full screen of one monitor. If you remove the screen with a simple operation after displaying the screen, the running applications can be executed while maintaining the previous layout.

The type of image displayed on the full screen is determined by the user's selection. When N images are simultaneously displayed on the entire screen, the N images may be filled by the single acquisition method. The search result of the search term 'color' may display 20 image spaces, or 20 image spaces may be displayed as the latest image acquired from a blog. Or, the user divides 20 image spaces, 4 of which are the latest images of a specific blog, 5 of which are images obtained by using a specific search condition from a search server, and 5 of which are obtained by using an extension on a specific web document. The image, the other one, can be set so that the user displays the image directly from the web browser.

Therefore, after the step of editing and displaying the image is completed (S404), it has a step (S406) of measuring the image preference in the details selected in the selection item of [Table 1], the means for measuring the image preference is the selection The image preference is extracted and measured using the user setting value of the item. For example, whether it is removed from the screen, whether it is stored in the library (image storage), time remaining on the desktop, remaining area information of the image displayed on the desktop, exposure time and area information, original image or large Whether or not to view the image, whether or not to view the relevant information about the image, whether or how many times the web page containing the image, whether or not to search or acquire other similarly relevant images, add related information about the image The number of changes can be measured.

The reason why the image preference is measured as being removed from the screen is that the user's preference is not so large. After extracting the display start time and the removal time, the time intervals of the two time points are determined, and these time intervals are predetermined. If it is below the threshold, it is determined that the image has been removed from the screen. In addition, the reason why the image preference is measured as the storage in the storage box is because the preference is higher than the case of reacquisition by re-search as the opposite meaning of the removal. In addition, the reason for measuring the image preference with the time displayed on the desktop and persisting is that since the time displayed on the desktop increases as the image with high preference increases, the preference increases in proportion to the increase in the time displayed on the desktop. . The reason for measuring the image preference using the area information of the image displayed on the full screen is that the user's preference varies depending on the size and position of the image exposed on the full screen. Consider the total area, the total area of the screen display device, and the like. In addition, the reason for measuring the image preference using the exposure time and area information is that the time and area information remaining on the entire screen considered above do not necessarily match the exposure time and area information. This is because the image is not exposed to the user when the user is using another program even though the screen remains as the full screen desktop. Therefore, by periodically monitoring the exposure state of the desktop, the exposure time and area of each image are extracted and used for measuring image preference.

After the image preference measurement is completed as described above has a step (S408) of transmitting the measured image preference to the image search server (110). The transmitted image preference is information extracted from the information of the selected item, and as described above, whether the image is removed from the screen, whether it is stored in the storage box (image storage unit), the time remaining on the desktop, and the image displayed on the desktop Area information, exposure time and area information, whether or not to view the original image or large image, whether or not to view related information about the image, whether or not to view the web page containing the image, and other similar images with high relevance. Whether or not the search or acquisition attempts, the number of additional changes to the relevant information about the image, and the like.

On the other hand, in addition to the image preference is transmitted to the image search server 110, the following information may be transmitted together. A unique identifier that can be converted to the URL of the image, or content equivalent to the image's URL (e.g., for flickr.com, you can obtain an image URL of the desired size by operating according to the rules for providing a unique identifier with images of varying sizes. ), A method of acquiring the corresponding image, and a feed URL, a web URL, and a search condition. The reason for obtaining the image, the feed URL, the web URL, and the search condition are transmitted. Even though the quality of the image is good, the results contrary to the search condition are not good search results. In case of acquiring, it is important to determine what search condition the user has searched for. Therefore, the image acquisition method and the search condition are transmitted. In order to consider the search point and the background before and after the search point, it is preferable that the image search server provides a unique identifier for each search result and the user terminal transmits the unique identifier to the image search server to minimize the amount of transmitted data. Do. This is because the transmission of the feed URL or the web URL can be used to additionally determine not only the preference of individual images but also the preference of a feed or a web site providing an image.

On the other hand, the image search server 110, as described above, the image URL (or unique identifier), the image preference, the selection details of the selection items, the method of obtaining the image and related information (Feed URL, URL of the web document, etc.) The time point for transmitting the search condition may select and transmit any one of various time points. For example, whenever a specific selection occurs in the user's selection, the new generation may be transmitted. Alternatively, the information can be accumulated and transmitted at a certain time, for example, when the user's selection information is over a certain size, transmitted when the user program starts or ends, or transmitted every certain time period, or when the user uses an image search server. When retrieving, the previous occurrence information can be transmitted.

On the other hand, in the method of obtaining an image in step S402 of Figure 4, if the image corresponding to the search target of the image search server (including both when already indexed or newly added), the path to obtain the image is irrelevant. The present invention aims to improve the performance of an image search server by grasping the image preferences and using the preference information. Therefore, a user visits a web site that the user knows and applies to the screen without obtaining an image through the image search server. Since images are also search targets of search engines, preference information on the images can be used to improve the search engines.

In general, most image information is accessible by identifying a unique location through a Uniform Resource Locator (URL). Each image is identified by its URL, even if it is image information that is only visible to employees of a particular company or only to some members based on their login status. The image represented by the URL is typically an image of FTP or HTTP, and includes a general web site, a blog, an image sharing site, and a thumbnail of a small size stored in a search server.

The image identified by the URL becomes a search target of the image search engine. To obtain an image identified by a URL, it can be obtained through an image server by referring to a search result of an image search server, by using a feed such as RSS, an image from a general web browser, or a specific document in a web document. An image may be acquired, and this acquisition method will be described in detail.

The method of acquiring through the image server with reference to the search result of the image search server will be described with the flowchart of FIG. 6, and the method of acquiring using a feed such as RSS will be described with the flowchart of FIG. 7. A method of obtaining an image will be described with the flowchart of FIG. 8, and a method of obtaining an image from a general web browser will be described with the flowchart of FIG. 9.

6 is a flowchart illustrating a process of acquiring an image through an image server by referring to a search result of an image search server according to an exemplary embodiment of the present invention.

First, the image acquisition unit 310 in the image measurement application installed in the user terminal 100 displays a search condition input window for receiving a search condition for image search (S602). The search condition input window is an interface for receiving a search condition from a user, and a recommendation search button / link providing a recommendation search word may be implemented in the search condition input window.

The user inputs a search condition (eg, a search word input, a recommended search word button / link, etc.) to search through the search condition input window (S604). As the search condition, a search word (keyword) is input as an essential search condition, and as an extended search condition, a search condition input and a UI (Web Service Application Programming Interface) provided by the image search server 110 are input. It can be added / deleted / changed according to the simplification method of the user interface.The search word AND / OR condition of the search words, the start rank and the number of the search results (eg, the top 100 to the 150th ranking) are searched. Can be configured as a condition. For example, if a user searches repeatedly using the same search word, the number of searches is counted to search from the top down to the bottom, or pages are searched like 1,2,3 ...... You can select or use the left or right next button to search for the next position. The web service API provided by the image search server 110 is a method of searching in a third web site or application other than the image search server in addition to the method of directly searching the image search server 110 using a general web browser. A programming interface that allows you to get results. XML is commonly used. The present invention receives the search result when the search condition input and command are transmitted to the search server through the web service API.

As described above, when the search condition is received through the web service API (S604) and transmitted to the image search server 110 (S606), the image search server 110 performs a search according to the search condition (S608) and then the search condition. The search result (URL address of the image and the related information) that satisfies (S610) is transmitted, and the user terminal 100 receives the search result (S612). The user terminal 100 extracts the URL information (or information for generating the URL of the image) and related information from the received search result and stores it in the image storage unit (S614). The URL information of the image may be a URL of the image or a list of URLs (stored as a list when a plurality of URLs are provided according to the size of the image) or a unique identifier that may be converted into a URL according to a predetermined rule (some search servers In this case, files of various sizes are provided for the same image, and if a unique identifier is calculated according to a predetermined rule, an image URL value of a specific size can be obtained.

The related information may include information included in a search result (which may be different according to each search server), that is, an original web page URL including an image, a title of an image, a description of an image, and a tag of an image; May differ from the search criteria entered as a keyword, for example, images tagged with the keyword "red" may be "red", "sky", or "cloud") Can be.

After extracting and storing the URL and related information as described above, using the extracted URL (or the URL extracted by inverting the unique identifier), the image server 120 is requested to transmit an image (S616) to obtain the corresponding image. Acquisition may be completed by receiving the download (S620) (S622).

7 is a flowchart illustrating a process of acquiring using a feed such as RSS according to an embodiment of the present invention.

First, the user terminal 100 generates and displays a feed input window for receiving a feed URL from a user (S702). The feed is a technology for automatically notifying that a new image information is disclosed on a website, and there are kinds of RSS and Atom. In other words, a feed called RSS or Atom is a technology that helps users know that a new post occurs in a website where a new post is created, such as a blog or an internet newspaper, without visiting the website. The feed server 130 updates a feed composed of an XML file including the corresponding content whenever a new post occurs at a predetermined URL. Therefore, the user terminal can read this XML file periodically or aperiodically to know whether a new post exists without the user visiting the URL site.

The user inputs a URL address and environment setting to feed in the feed input window (S704). There may be various methods as the input method, i) the user can directly copy the feed URL from the web browser, etc. and add it to the feed input window, or ii) create / provide a program that is attached to the web browser and installed by the user / Enable, detects the presence of a feed URL from the web page when the web page is visited, and activates the UI to add it to the user if the feed URL exists, adding the feed URL when the user instructs it to add it, or iii Provide an icon that automatically sets the feed URL in the web document. When the user selects this icon, the feed URL can be set automatically. That is, there is a button "Add to XXX feed reader" in the blog, and when it is pressed, the URL information is transmitted to the XXX feed reader. There are many ways to set Feed URL in this format. For example, you can transfer / save it to user account server and receive it by using the protocol defined by the program. It can also be downloaded to the terminal and store URL information in this file.

On the other hand, as described above, and input the URL address to feed in the feed input window, and receives the environment setting to update the feed from the user (S704). That is, the frequency or time point at which each feed is read (e.g., when 13:00 arrives every 30 minutes every day, 5 minutes after starting the computer, when the user directly sends an update command, etc.) Set how to select some images when the number of images to be displayed is greater than the number of images that can be displayed (e.g., select the first of the images included in each post, select the most recent post image, choose by random number, the most undisplayed image) Select the old image first).

When a specific time arrives according to the set feed URL and environment setting, the feed server 130 requests feed data (S706). The feed server 130 performs a feeding operation (S708) for transmitting a corresponding post (S708) if a new post about the feed URL occurs before the request time. If a new post occurs before the feed request time, it is updated to the corresponding feed document file and stored in the feed URL.The feed document file is saved as if the image file is stored in a specific URL and then sent when requested. Place and send. The feed data of the current state is transmitted to the user terminal (S710).

The user terminal 100 analyzes the received feed data, extracts an image URL, forms a list, and stores the list in the image storage unit (S712). That is, the content of the received feed data is analyzed to construct a newly added image list (URL of the image, addition time). The information stored in the image list may be information such as a URL of an image, a URL of an original post including an image, a title, a description, a posting time, and the like.

The new image is checked in one of two ways. i) In the case of RSS, each post includes a posting time, and the images included in subsequent posts are added to the new image list as compared to the time of the last feed processed. ii) Alternatively, each image URL typically has a unique value, which stores / maintains a list of images contained in the previous feed, searches this list, and considers them as newly generated images if they don't have the same. Add to list of new images.

After configuring and storing the image list as described above, the user terminal 100 requests the image transmission to the image server 120 by using the image list (S714) to download the image (S718) to receive the image Acquisition may be completed (S720).

8 is a flowchart illustrating a process of acquiring a specific image in a web document according to an embodiment of the present invention.

In the case of a web site, new posts are registered, but many sites do not provide a feed as shown in FIG. For example, .gov / apod / astropix.html publishes new heavenly photos every day and also provides new cartoons every day. In addition, Cyworld will register new posts but will not provide a standardized feed. These web pages do not provide feeds, but there are regularities in the structure of the screen and the format of HTML documents. To import a new image from such a web page, you can grasp the rules of an HTML document and import a new image. Examples of the rules include the following. For example, you may receive an image file of the first image URL contained in the Y column of the Xth row of the second chart, an image file of the first image URL of the HTML document, or a second image after a specific word in the text. When URL image file is received or HTML document is displayed in a specific font size in a specific browser, image file existing in a specific area is transmitted from the upper left of the screen.

However, as described above, since the rules for importing an image from a web document are very diverse and the structure of the web document may be changed, there is a problem in that it cannot be flexibly handled if directly implemented in the image preference measurement application of the present invention. Therefore, in order to cope with the new rules, each rule can be implemented as a first extension pack using a plug-in or script code, and the URL extension of the image using the first extension pack in the image preference measurement application of the present invention. Acquire.

The step of acquiring a specific image in the web document is described with the flowchart of FIG. 8. First, an extension pack (hereinafter, referred to as a 'first extension pack') having programmed a rule for importing a specific image in the web document. ) Is registered with the image preference measurement application in the user terminal 100 (s802). At this time, the image preference measurement application provides an interface for registering and installing the first extension program pack so that the first extension program pack can be easily operated as part of the image preference measurement application.

Thereafter, when the user inputs a URL address to check and sets an environment such as a cycle / time to check (S804), the first extension program pack is executed (S806) at a cycle / time set by the user. The first extension pack accesses the input URL site 140, extracts the URL address of an image located at a specific point in a web document as a rule (S808), and stores the URL address and related information of the corresponding image in the image storage unit. (S810). The related information may be a web page URL of an original text including the corresponding image, related information detected by the first extension pack (title of the image or post, description of the image, etc.).

The user terminal 100 requests the image transmission to the image server 120 having the URL of the image (S812), transmits the image from the image server (S814), and downloads (S816) the user terminal. It can be obtained (S818).

On the other hand, certain web documents may provide a feed function for some images but may not provide a feed function for some images. That is, to what extent the content included in the feed is entirely up to the decision of the web site operator or publisher. In other words, there is no standard or recommendation on whether to include the full text of a blog in a feed, include a summary, or include an image of a post. Therefore, there are some feeds that include image URLs. However, there are many cases that provide only the link URL of the original web page with a brief summary. In this case, the URL of the image is not known only by the feed.

Therefore, the URL of the image can be detected by combining the method of obtaining the URL of the image using a feed as shown in FIG. 7 and the method of obtaining the URL of a specific image in a web document as shown in FIG. 8. That is, it checks whether a new post is generated from the feed, detects the URL of the original web document instead of the URL of the image through the feed, and detects the URL of the image using the first extension pack with respect to the detected URL of the web document. In addition, the image server having the URL of the corresponding image may be accessed to finally acquire the image.

9 is a flowchart illustrating a process of acquiring an image from a general web browser according to an embodiment of the present invention.

A method of acquiring an image by selecting a desired image while a user surfs a web with a web browser, wherein the user is provided with information related to an image included in a web page using an application programming interface (API) provided to the web browser. An extension program pack (hereinafter, referred to as a “second extension pack”) of a plug-in or add-on having a function of transferring to the service is registered and used (S902). After the second extension program pack is registered to the web browser in the user terminal, when the user requests to acquire an image by selecting an image while viewing a web page on the Internet (S904), the second extension program corresponds to The image is stored, and the related information (URL, title, etc.) of the image is analyzed and extracted (S906). Receiving the selection of the image while viewing the web page, there are various implementations, when the right mouse button is clicked to provide a menu item to download the image, or drag the image of the web page with the mouse (drag) Implement to receive an image by dropping it on a specific area or desktop.

On the other hand, when the image preference measurement application is installed and driven in the user terminal as described above, since the direct application operation is performed in the user terminal, there is an advantage that the function is rich and convenient to use. However, the image preference measurement application may be used only when the user terminal is installed, and various user setting information may be stored only in the user terminal. In particular, when measuring image preference in more than one user terminal, it is inconvenient to set or save a feed URL for an image in each user terminal or to adjust the layout as a desktop. There may be.

In order to solve this problem, we suggest a method to measure image preference through web services even if functionality is somewhat lacking. When implemented through the web service, there is an advantage that the expandability is increased without distinguishing the user terminal.

There are three ways to measure image preference using the web service. First, the image preference measurement application is installed in the user terminal, but only the configuration information set by the user, such as setting the selection items in [Table 1], is a separate web server (hereinafter, referred to as an image preference measurement server). ) Can be read and implemented to read the configuration information stored in the image preference measurement. The second method is to perform a web service on the image preference measurement server, except for the full screen setting of the end user terminal, without installing the image preference measurement application on the user terminal. Third, as a combination of the first method and the second method, not only the configuration information is stored in a separate image preference measurement server, but also the verification process of new information is directly performed by the image preference measurement server and transmitted to the user terminal. In this case, when new information is generated, the image preference measurement server transmits image data to the user terminal or provides an image URL and related information, and displays the screen on the user terminal to receive the setting of a selection item. .

First, only the configuration information, which is the first method, is stored in a separate web server, and the configuration information is read in detail when the image preference measurement is performed. It is to open and change the preferences in the account. The method of changing the configuration of a specific account of the web server is to directly change the configuration on the corresponding site by accessing the web server or change the configuration on the image preference measurement application of the user terminal. It can be implemented to be transmitted to the web server and finally save the configuration contents in the web server. After the configuration contents are stored in the web server as described above, the image preference measurement application of the user terminal may be driven later to log in and access the configuration settings.

In the second method, a method of performing all the processes of the web service except the full screen setting of the end user terminal without installing the image preference measurement application on the user terminal in more detail, Since there is no burden of installing measurement applications, the same service can be used in any environment if only a web browser is available. Finally, the mosaic image made of multiple images can be used in a web browser and saved as a separate image file without being applied to the desktop. Hereinafter, this will be described in FIG. 10.

FIG. 10 is a state diagram illustrating an image preference measuring system measuring an image preference using a web server according to an exemplary embodiment of the present invention.

Since the image preference measurement application is not installed in the user terminal 1400, the user terminal 1400 logs in to the image preference measurement server 1000 through a web browser and transmits a search word, a feed URL, a web URL, and the like (S1002). As a result, the image data, the URL, and the related information may be transmitted from the image preference measurement server 1000 (S1008).

In detail, when the user terminal 1400 transmits a search word, a feed URL, a web URL, etc. to the image preference measurement server 1000 through a web browser, the image preference measurement server 1000 may receive the received search word, feed URL, Search for the corresponding image using a web URL (S1004, S1006) to obtain the corresponding image data, related information and the like and transmit it to the user terminal (S1008).

The method of obtaining image data and related information by the image preference measurement server 1000 is performed in the same manner as the steps of FIGS. 5, 6, 7 and 8. 5, 6, 7, and 8 are different from those performed in the image preference measurement server 1000 in FIG. 10, as compared with the image preference measurement application installed in the user terminal. .

For example, when an image is to be acquired by an image search, the image preference measurement server 1000 receives a necessary search word by providing a web page capable of searching for an image to the user terminal 1400 (S1002). If there is a search word input, the image preference measurement server 1000 connects to the image search server 1300 and receives a URL of an image of a desired search result that is searched and based on the image server 1200 or the image information DB 1100. Access to obtain a desired image (S1004, S1006).

In addition, when the feed URL is received from the user terminal 1400 to use the feed, the image preference measurement server provides a web page for obtaining a new image from the feed URL. When the user views the web page, the image preference measurement server accesses the feed server, receives a new feed, compares the information with the last viewed feed stored in the image preference measurement server, and acquires a URL of the new image based on the information. The desired image is acquired by accessing the image server 1200 or the image information DB 1100 (S1004 and S1006).

In addition, when a specific image in a web document is to be acquired, the image preference measuring server 1400 may provide a web page for setting a web URL to register a web URL from a user terminal, and then the image preference measuring server ( 1000) provides a web page to the user terminal that allows the user to set an image acquisition rule, the user selects the rule, and this setting information is stored in the image preference measurement server. Provides a web page that retrieves a new image from a web URL stored on an image preference measurement server. When the user browses this web page, the web server accesses the web page and acquires an image.

Also, an image may be acquired by combining the feed method and a specific image acquisition method in a web document. Access the web URL of the new post from the feed and obtain the image with the rules you set.

After the image preference measurement server 1000 acquires the image as described above, the image preview / editing tool is provided to the user terminal 1400 in the form of a web browser (S1008), and the user receives a selection item setting from the user. Received from the terminal.

The image preview / editing tool may transmit the image after the image preference measurement server 1000 changes the size to the required size, or the image preference measurement server 1000 provides only the URL of the image and the preview / editing tool. The original image data can be directly received from the URL to change the size.

In addition, the user may remove the image, add a new image, change the size and position of the image, and view related information about the image by using the image preview / editing tool provided by the image preference measurement server 1000. Can be. In addition, the user can utilize the interface to save the edited final image as a wallpaper or an image file.

The selected item contents edited through the image preview / editing tool provided by the image preference measurement server 1000 (S1008) are transmitted to the image preference measurement server 1000 (S1010) and stored, and the image preference measurement server Based on the contents of these selections, the image 1000 shows the image preference (removed from the full screen, stored in the library, time remaining on the desktop, information on the area of the image displayed on the desktop, exposure time and area). Information, whether or how many times the original image or large image has been viewed, whether or how many times the related information about the image has been viewed, whether or how many times the web page containing the image has been viewed, whether or not attempts to retrieve or acquire other relevant similar images, The number of additional information related to the change of information) is extracted and transmitted to the image search server 1300 (S1012).

Meanwhile, in another embodiment of the present invention, a method of acquiring an image through a image server with reference to a search result of an image search server (FIG. 6), a method of acquiring using a feed such as RSS (FIG. 7) , A method of acquiring a specific image in a web document (FIG. 8), a method of acquiring an image from a general web browser (FIG. 9), and the like. In addition, an image stored in a local storage of a user terminal may be obtained and It can be implemented to perform a preference measurement. That is, an image search module may be provided inside an image preference measurement application in the user terminal to measure and use the preference of an image stored in a local storage device in the user terminal. The local storage device may be an internal hard disk drive, may be located in an internal memory such as a flash memory or a RAM, and further, a hard disk of another user terminal connected through a network to share files. It may be a storage device of a remote terminal such as a drive.

In addition, information such as CF card (Compact Flash Card), SD card (Secure Digital Card), SM card (Smart Media Card), MMC card (Multi-Media Card) or Memory Stick (Memory Stick) that can be attached to or detached from the user terminal accordingly It may be a removable memory module or a magneto-optical disk storage device capable of inputting and outputting data. Images stored in the local storage device may also be displayed as a unique URL (eg, file: /// C: / My Pictures / IMG_1234.jpg).

With the spread of digital cameras, the general public also produces a lot of image information, but sorting and organizing the information produced by each individual is very time consuming and in fact may be stored in a user terminal. Therefore, when images stored in the local storage device in the user terminal are displayed on the desktop, the preferences for them can be measured so that they can be searched for useful images when searching for images stored in the local storage device of the user terminal. Can be.

To this end, the image preference measurement application of FIG. 11 in the user terminal further includes an image retrieval unit 1102 and a feed unit 1104 having the same functions as the image retrieval server and the feed server of FIG. Should be doing. Alternatively, the image search unit 1102 and the feed unit 1104 are not required to have two at the same time, but at least one can implement the present invention.

As shown in FIG. 11, the image is stored in the local storage device by searching for the image using the image search unit 1102 or the feed unit 1104 or obtaining the location of the newly added image in the local storage device. You can get it. In addition, an image may be acquired by selecting from a web browser or an image viewer.

After acquiring the image as described above, image editing and preference measurement are performed in the same manner as the steps of FIG. 4, and finally the measured preference is transmitted to the image retrieval unit 1102 inside the image preference measurement application.

In the above process, in particular, one of various methods of measuring image preference may be based on a user's evaluation score. Since it has the meaning of arranging the images owned by the user stored in the user terminal, the user will be given a more aggressive score than the image existing on the web.

In the foregoing description of the present invention, specific embodiments have been described, but various modifications may be made without departing from the scope of the present invention. Therefore, the patent scope of the present invention is not to be determined by the above-described embodiment, and the claims will be apparent not only in the claims but also in the equivalent ranges.

As described above, the present invention uses the image preference of the full screen of the user terminal, thereby increasing the reliability of image retrieval to allow users to utilize more various images. In addition, there is an effect of configuring the full screen of the user terminal by easily obtaining images.

Claims (27)

An image acquisition unit for obtaining a plurality of images constituting the full screen of the user terminal; An image display editing unit configured to receive and edit user setting values of selection items related to positions and sizes to be displayed on the full screen of the user terminal for each of the acquired images;  An image preference measuring unit extracting an image preference indicating a user's interest in each image from the user setting value of the selection item; An image preference storage database for storing the measured image preferences; An image storage unit for storing the obtained plurality of images and a user setting value of the selection item for the images and related information about the images; And a plurality of acquired images are displayed on the full screen of the user terminal according to the edit setting of the selection item, and the image preference extracted from the edited setting value of the selection item is transmitted to an external image search server through a wired / wireless network. One controller Image preference measurement application comprising a. The method of claim 1, wherein the image preference measurement application, A display unit displaying a plurality of images, which are deleted or reduced or enlarged by a user's selection, on a full screen in a predetermined arrangement; An input unit for receiving a setting value for editing a selection item from the user as an interface with the user,  Wired / wireless communication unit supporting data communication with general web server, image search server, image server, feed server, etc. Image preference measurement application further comprising. The image preference measurement application of claim 2, wherein the display unit divides and displays a plurality of images in a tiled arrangement. The image preference measurement application of claim 2 or 3, wherein the display unit displays a plurality of images having different shapes and different sizes on a single full screen. The image preference measurement application of claim 1, wherein the image retrieval server ranks reliability / validity evaluation for each image based on the received image preference. The image preference measurement application of claim 1, wherein the image display editing unit provides a preview window and a menu panel to allow a user to edit each image. The image preference measurement application of claim 1, wherein the user setting value of the selection item is received by using a user setting value registered in advance in an external web server. According to claim 1 or claim 7, wherein the selection items, unwanted image removal function, image position adjustment function, image size adjustment function, image display function in a separate drive program, image related information storage function, the web browser in the user terminal Image affinity measurement application that includes image viewing, related similar image search, favorites, related information additions and crop / no-crop selection. The display apparatus of claim 1, wherein the image preference is determined by whether the display is excluded from the screen, whether the image is stored in a storage box, a time remaining on the screen, the area information of the image displayed on the screen, and the screen is exposed. Time and area information, whether and how many times the original image or a large image has been viewed, whether or not the relevant information about the image has been viewed, whether and how many times the webpage containing the image has been viewed, and whether other similar images with high relevance have been searched or acquired. And information about the number of times, and the number of additional changes of related information about the image. The method of claim 1, wherein the related information includes a title (the title of an image provided in a search result, or a title of a post of a feed), a description or a summary (a description provided in a search result, or a description of a post of a feed), and an image. URL of the original web page, tag (tag; search result or tag information of fed post), image acquisition path method (search, feed, web browser selection, web page analysis analysis), search server name and search condition Image affinity measurement application, including the name of the Feed site (blogs, photo news). The image preference measuring application of claim 1, wherein the image obtaining unit obtains an image URL having a corresponding image URL by referring to a URL of an image that is a search result of a predetermined image search server. The image preference measuring application of claim 1, wherein the image obtaining unit obtains an image by a feed technology that checks a specific feed URL at a predetermined period and is notified when a new post is found in the feed. The image preference measuring application of claim 1, wherein the image obtaining unit obtains a specific image in a web document by a predetermined rule. The image preference measuring application of claim 1, wherein the image obtaining unit obtains an image from an image displayed in a web browser on a web. A first step of acquiring a plurality of images constituting the full screen of the user terminal; Receiving a user setting value of a selection item related to a position and a size to be displayed on a full screen of a user terminal for each of the acquired images; A third step of dividing and displaying a plurality of images in different sizes and positions on the full screen according to a user setting of the selection item; Extracting an image preference indicating a user's interest in each image from a user setting value of the selection item; A fifth step of transmitting the extracted image preference to an external image search server through a wired or wireless network; Image affinity measurement method comprising a. The method of claim 15, wherein the obtaining of the plurality of images in the first step comprises: Receiving a search condition through a search condition input window; Transmitting the search condition to an image search server to receive and store a URL and related information of an image as a search result; Downloading the image to the URL of the image Image affinity measurement method comprising a. The method of claim 16, wherein the search condition comprises a search word (keyword), an AND / OR conditional expression of search words, a starting rank and number of search results. The method of claim 15, wherein the obtaining of the plurality of images in the first step comprises: Checking the registered URL at regular intervals and registering the feed's URL and preferences when there are new posts in the URL; Requesting and receiving updated feed data in a feed server at a predetermined cycle or time point of arrival; Accessing the URL of an image extracted from the image list in the feed data and downloading the corresponding image; Image affinity measurement method comprising a. The method of claim 15, wherein the obtaining of the plurality of images in the first step comprises: Entering and configuring the URL of the web document to be checked, Driving an extension pack capable of extracting an image at a specific position within the web document due to the regularity of the web page configuration or the format of the web document such as an HTML document; The extension pack accessing the web document and receiving an image URL and related information in the web document according to a predetermined regularity; Accessing the image URL and downloading the corresponding image Image affinity measurement method comprising a. The method of claim 15, wherein the selection item includes: an unwanted image removal function (or image replacement function), an image position adjustment function, an image size adjustment function, an image display function in a separate driving program, an image related information storage function, and a user terminal. How to measure image preferences, including the ability to view images in a web browser, search similarly relevant images, add bookmarks, add related information, and crop / no-crop selection. The method as claimed in claim 15, wherein the fifth step includes a URL of the image, a unique identifier that can be converted into content corresponding to the URL of the image, a method of obtaining the image, a URL of a feed, a web URL, and a search condition. Image affinity measurement method to send to image search server together. A user terminal which displays a plurality of images on the full screen and transmits user setting values of selection items related to the image size and position to an external image preference measurement server; The user terminal is provided with a preview / editing tool for retrieving and requesting an image requested by the user terminal and providing the same to the user terminal, and editing a display form of a plurality of images displayed on the full screen of the user terminal. An image preference measurement server that measures an image preference from a user setting value of a selected item to be displayed and edited using the preview / editing tool and transmits the image preference to an external image search server. Image affinity measurement system comprising a. The system of claim 22, wherein the image preference measurement server obtains an image through a server having a corresponding image URL by referring to a URL of an image that is a search result of a predetermined image search server. The system of claim 22, wherein the image preference measurement server reads a document of a specific feed URL at regular intervals and acquires an image when there is a new post therein. The system of claim 23, wherein the image preference measuring server obtains a specific image in a web document by a predetermined rule. An image acquisition unit for obtaining a plurality of images constituting the full screen of the user terminal; An image display editing unit configured to receive and edit user setting values of selection items related to positions and sizes to be displayed on the full screen of the user terminal for each of the acquired images;  An image preference measuring unit extracting an image preference indicating a user's interest in each image from the user setting value of the selection item; An image preference storage database for storing the measured image preferences; An image storage unit for storing the obtained plurality of images and a user setting value of the selection item for the images and related information about the images; An image retrieval unit for outputting a search result by reflecting user preferences with respect to an image stored in a local storage inside the user terminal; A feed unit for checking the local storage device at regular intervals and automatically notifying when there is a new image and acquiring an image; A control unit having an algorithm for displaying the obtained plurality of images on the full screen of the user terminal according to the edit setting of the selection item, and transmitting the image preference extracted from the edited setting value of the selection item to the image search unit; Image preference measurement application comprising a. 27. The image preference measurement application of claim 26, wherein the local storage comprises a hard drive of a user terminal, a hard drive of another user terminal connected to a network and sharing files, and a removable memory.

Images