KR20120001847A - System and method for searching image - Google Patents

System and method for searching image Download PDF

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Publication number
KR20120001847A
KR20120001847A KR1020100062437A KR20100062437A KR20120001847A KR 20120001847 A KR20120001847 A KR 20120001847A KR 1020100062437 A KR1020100062437 A KR 1020100062437A KR 20100062437 A KR20100062437 A KR 20100062437A KR 20120001847 A KR20120001847 A KR 20120001847A
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KR
South Korea
Prior art keywords
image
color
information
mobile terminal
extracting
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KR1020100062437A
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Korean (ko)
Inventor
김종배
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김종배
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Priority to KR1020100062437A priority Critical patent/KR20120001847A/en
Publication of KR20120001847A publication Critical patent/KR20120001847A/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics

Abstract

PURPOSE: An image search system and method thereof are provided to simply search for a matched image by transferring and extracting an image which is photographed to a mobile terminal. CONSTITUTION: A data receiver(210) receives an image from a mobile terminal. A color tone value extracting unit(220) analyzes the information of the image and extracts main color value which is included in the image. A location information extracting unit(230) extracts a position information value in which the major color information is distributed. A shape extracting unit(240) extracts a shape information value corresponding to the position information value of the image. A data integrator(250) integrates the values. A comparison and analysis unit(260) compares the integrated value with identification information of the image in database. A data transmitter(270) transmits the extracted image to the mobile terminal.

Description

Image Search System and Image Search Method {SYSTEM AND METHOD FOR SEARCHING IMAGE}

The present invention relates to an image retrieval system and an image retrieval method.

Recently, with the rapid proliferation of computers, the Internet (INTERNET) based on TCP / IP (Transport Control Protocol / Internet Protocol) is established, and various communication networks are being integrated around the Internet. Accordingly, an internet user can search for and obtain a lot of information through the Internet.

The Internet is coupled to a plurality of information providing servers and a plurality of personal computers (PCs), and the personal computers (PCs) are configured to have a predetermined web browser for conducting Internet access, so that a user can use a personal computer (PC). After accessing the Internet, the user can search for various information provided by the web server or transmit or receive various data in real time.

When the Internet user wants to search for a desired image on the Internet, if a user inputs a search word as a keyword, a search engine searches for a search word input as a keyword and outputs an image matching the input keyword.

In the case of a search system with the keyword condition as described above, the keyword is conditioned to find the corresponding image, and thus the image information to be searched cannot be easily and accurately found. That is, the conventional image retrieval system having a keyword condition has a problem in that when there is no keyword that matches the keyword in the title or description of the image including each syllable or word, there is a problem that the corresponding image cannot be searched.

Therefore, in order to solve the above problems, the present invention transmits the image taken by using the mobile terminal to the web server, the web server extracts the image in the order of the highest image and the transmitted image from the pre-stored image It is an object of the present invention to provide an image retrieval system and an image retrieval method capable of easily retrieving an image matching the image by transmitting the display to the mobile terminal.

An image retrieval system according to the present invention includes a mobile terminal for taking an image, transmitting the captured image to a web server, and receiving and displaying image information transmitted from the web server; And a web server which receives the image from the mobile terminal, analyzes the information of the image, and compares the analyzed result value with the identification information of the pre-stored image, and transmits the images having the highest sink rate to the mobile terminal in order. An image retrieval system comprising: a web server comprising: a data receiving unit for receiving an image from the mobile terminal; A color value extracting unit analyzing the information of the image and extracting main color values included in the image in order; A location information extraction unit for extracting location information values in which the main color information is distributed and generating code information according to the location information values; A shape extracting unit which extracts shape information values of the image corresponding to the location information values and generates code information according to the shape information values; A data integration unit for integrating a result value extracted or generated by the color value extraction unit, the location information extraction unit, and the shape extraction unit to match the information of the image; A comparison and analysis unit configured to extract images having a high think rate in order by comparing the result values integrated by the data integration unit with identification information of an image previously stored in a database; And a data transmitter for transmitting the image extracted by the comparison analyzer to the mobile terminal.

A size calculating unit is provided between the shape extracting unit and the data integration unit to calculate a size value of the entire image of the shape of the image.

The color value extracting unit may include: a main color value extracting unit extracting a color most distributed in the image to generate code information according to the distribution of the colors; And an auxiliary color value extracting unit for generating code information according to a distribution of colors other than the maximum color distributed in the image.

The position information extracting unit may include: a position value generating unit generating code information according to color positions of the main colors; A distribution value generator for generating code information according to a ratio of color distribution at a color position of the main color; And an array value generation unit for generating code information according to the arrangement order of the color positions of the main colors.

In addition, the image retrieval method according to the present invention comprises the steps of: (a) taking an image via a mobile terminal, and transmitting the captured image to a web server; (b) receiving an image from the mobile terminal, analyzing information of the received image, and extracting main color values included in the image in order; (c) extracting location information values in which the main color information is distributed and generating code information according to the location information values; (d) extracting shape information values of the image corresponding to the location information values to generate code information according to the shape information values; (e) integrating result values extracted or generated by the steps (b), (c) and (d) to match the information of the image; (f) extracting images having a high think rate in order by comparing the integrated result with identification information of an image previously stored in a database; (g) transmitting the extracted image to the mobile terminal; And (h) receiving the information of the transmitted image and displaying the information on the mobile terminal.

After performing the step (d), (d-1) characterized in that it further comprises the step of calculating the size value for the entire image of the shape of the image.

The step (b) may include: (b-1) generating code information according to the distribution of the color by extracting the color most distributed in the image; And (b-2) generating code information according to a distribution of colors other than the color most maximally distributed in the image.

Step (c) includes: (c-1) generating code information according to the color position of the main color; (c-2) generating code information according to a ratio of color distribution at a color position of the main color; And (c-2) generating code information according to the arrangement order of the color positions of the main colors.

As described above, according to the present invention, the image taken using the mobile terminal is transmitted to the web server, and the web server extracts the images from the pre-stored images in the order of high sync rate to the mobile terminal. By transmitting and displaying, it is possible to search for an image matching the image more easily.

Specific matters other than the problem to be solved, the problem solving means, and the effects of the present invention as described above are included in the following embodiments and the drawings. Advantages and features of the present invention and methods for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. Like reference numerals refer to like elements throughout.

1 is a block diagram showing the configuration of an image retrieval system according to the present invention;
FIG. 2 is a block diagram illustrating a configuration of a color value extraction unit of FIG. 1. FIG.
3 is a block diagram showing a configuration of a location information extraction unit of FIG. 1;
4 is a flowchart illustrating an image retrieval method according to the present invention.
5 is a flowchart illustrating a color value extraction step of FIG. 4.
FIG. 6 is a flowchart illustrating a location information extraction step of FIG. 4. FIG.
7 is a view showing an image search result displayed on the mobile terminal by FIG.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the accompanying drawings are only described in order to more easily disclose the contents of the present invention, but the scope of the present invention is not limited to the scope of the accompanying drawings that will be readily available to those of ordinary skill in the art. You will know.

1 is a block diagram showing the configuration of an image retrieval system according to the present invention, FIG. 2 is a block diagram showing the configuration of the color value extraction section of FIG. 1, and FIG. 3 is a block diagram showing the configuration of the location information extraction section of FIG. to be.

As shown in FIG. 1, an image retrieval system according to the present invention includes a mobile terminal 100 and a web server 200.

The mobile terminal 100 captures an image, transmits the captured image to the web server 200, receives the image information transmitted from the web server 200, and displays it. The mobile terminal 100 is a mobile wireless data communication device that performs data communication wirelessly with a camera, such as a camera phone or a PDA or a smart phone equipped with a camera. The mobile terminal 100 transmits the image photographed using a camera mounted on itself to the web server 200 through a communication provider network (mobile communication network, WiBro, etc.). In this case, in order to transmit the image information, the dedicated software must be installed in the mobile terminal 100. Here, the dedicated software is a function for requesting the provision of a service for searching for an image matching the transmitted image by transmitting an image of an object photographed by a user installed through a camera installed in the mobile terminal 100 to the web server 200. Will be performed.

On the other hand, objects that can be photographed and retrieved from the mobile terminal 100 are plants, such as flowers, trees, mushrooms, wildflowers, herbs, vegetables, fruits, herbs, herbs (especially those that humans can eat), and livestock Animals such as animals, cars, airplanes, motorcycles, luxury company logos, art, rocks, jewelry, etc. can be any kind of things that can be taken as an image, by simply taking an image of these things through a web server 200 It is possible to search for images of similar objects.

As described above, the information of the image transmitted from the mobile terminal 100 is transmitted to the web server 200 connected to a communication network including the Internet through a WEB server or a WAP server.

The web server 200 receives the image from the mobile terminal 100, analyzes the information of the image, and compares the analyzed result value with the identification information of the image which is stored in advance to sequentially display images having a high sink rate. Send to the mobile terminal 100. In this case, the web server 200 may hold information of various images so that they can be matched to various images transmitted from the mobile terminal 100.

Here, the web server 200 includes a data receiver 210 for receiving an image from the mobile terminal 100; A color value extraction unit 220 for analyzing the information of the image and extracting the main color values included in the image in order; A location information extraction unit 230 for extracting location information values in which the main color information is distributed and generating code information according to the location information values; A shape extracting unit 240 for extracting a shape information value of the image corresponding to the location information value and generating code information according to the shape information value; A data integration unit (250) for integrating a result value extracted or generated by the color value extraction unit (220), the location information extraction unit (230), and the shape extraction unit (240) to match the information of the image; A comparison and analysis unit 260 for extracting images having a high think rate in order by comparing the result value integrated by the data integration unit 250 with identification information of an image previously stored in a database DB; And a data transmitter 270 for transmitting the image extracted by the comparison analyzer 260 to the mobile terminal 100. Here, the database provided in the web server 200 stores image identification information corresponding to each image, that is, color value, location information value, shape information value, size information value, etc. of each image.

In addition, a size calculation unit 245 is provided between the shape extraction unit 240 and the data integration unit 250 to calculate a size value for the entire image of the shape of the image.

In addition, as shown in Figure 2, the color value extraction unit 220, the main color value extraction unit 221 for generating the code information according to the distribution of the color by extracting the color most distributed in the image ; And an auxiliary color value extraction unit 222 for generating code information according to a distribution of colors other than the maximum color distributed in the image.

In general, the main color value extracting unit 221 is a color value of the pixels constituting the dense specific region because the image photographed by the mobile terminal 100 is concentrated around a specific region. Extract The auxiliary color value extractor 222 extracts color values of pixels constituting a specific region in which color generation frequencies are concentrated among the colors not extracted by the main color value extractor 221.

In order to extract such color values, a preprocessing process, that is, a binarization process using a threshold value, is performed to extract only a specific region where the frequency of color generation is dense. Binary processing, one of the most basic techniques of image processing, is a relatively simple algorithm. This binarization technique is used to extract specific color values.

The location information extracting unit 230, the shape extracting unit 240, and the size calculating unit 245 scan the photographed image to find a connected component, and the position of each color value extracted by the color value extracting unit 220. Code information of the information value, shape information value, and size information value is extracted.

Here, the position information extraction unit 230 includes a position value generation unit 231 for generating code information according to the color position of the main color; A distribution value generator 232 for generating code information according to a ratio of color distributions at color positions of the main colors; And an array value generator 233 for generating code information according to the arrangement order of the color positions of the main colors.

As shown in FIG. 3, the position value generator 231 corresponds to a position of a pixel in which the color value extracted by the color value extractor 220 is located, that is, a two-dimensional position of the corresponding color value in the entire image. Generate code information. In addition, the distribution value generation unit 232 is a ratio of the distribution of the color values extracted by the color value extraction unit 220 (for example, (x1, y1) region is 10%, (x2, y2) region is 33%) to generate code information. In addition, the array value generator 233 generates code information regarding information (for example, a black-red-green array) in which color values extracted by the color value extractor 220 are arranged.

The shape extraction unit 240 serves to extract the shape information value of the photographed image corresponding to the location information value extracted by the location information extraction unit 230 and generate code information corresponding thereto. The shape of the object (for example, a sharp or rounded shape) is extracted, and code information corresponding thereto is generated.

The size calculating unit 245 serves to generate code information corresponding to the size value of the entire image of the shape of the photographed image.

The data integration unit 250 includes a color value extractor 220, a location information extractor 230, a shape extractor 240, and a size extractor 245 for the color, position, shape, and size extracted by the data extractor. The information is matched and integrated with the information of the photographed image. In more detail, the data integrating unit may include the color value extracting unit 220, the location information extracting unit 230, the shape extracting unit 240, and the size calculating unit 245. Create each vector sequence with information about it. That is, color values (a1, a2, ..., al), position values (b1, b2, ..., bm), shape values (c1, c2, ..., cn), size values (d1, d2) , ..., do), the combined vector becomes (a1, ..., al, b1, ..., bm, c1, ..., cn, d1, ..., do). In addition, the vectors combined in the above manner are indexed together with the names of the objects, and the indexed annotations and images are passed to the comparison analyzer 260.

Comparative analysis unit 260 is the result value information (a1, ..., al, b1, ..., bm, c1, ..., cn, d1, ..., do) and the image result of the thing stored in the database (a1 ', ..., al', b1 ', ..., bm', c1 ', ..., cn', d1 ', ..., do ') and similarity functions d {A, B} are defined and think rate determination is performed through this similarity function. At this time, the searched image, the think rate corresponding to each image is extracted as the search result. As described above, the extracted image and its name are extracted in the order of high sink rate corresponding to each image, and transmitted to the mobile terminal 100.

On the other hand, although not shown, the database of the web server 200, when the extracted image and its name is extracted in the order of the highest sink rate corresponding to each image is transmitted to the mobile terminal 100, the transmission, When the information is stored later, the same image can be used for a more accurate search when the request is made.

As shown in FIG. 7, the mobile terminal 100 displays the images retrieved and extracted from the web server 200 and their names in the order of high sink rate, and the user displays an image of the object to be found through the displayed result. Will be found.

As described above, according to the present image retrieval system, the image taken using the mobile terminal 100 is transmitted to the web server 200, so that the web server 200 transmits the image and the sync rate among the pre-stored images. By extracting the images in this high order and transmitting them to the mobile terminal 100 for display, it is possible to search for an image matching the image more easily.

4 is a flowchart illustrating an image retrieval method according to the present invention, FIG. 5 is a flowchart illustrating the color value extraction step of FIG. 4, FIG. 6 is a flowchart illustrating the location information extraction step of FIG. 4, and FIG. 7 is FIG. 4. Is a diagram showing an image search result displayed on the mobile terminal.

As shown in FIG. 4, the image scarring method according to the present invention includes: (a) photographing an image through a mobile terminal and transmitting the photographed image to a web server (S100); (b) receiving an image from the mobile terminal, extracting main color values included in the image in order by analyzing the information of the received image information; (c) extracting location information values in which the main color information is distributed and generating code information according to the location information values (S300); (d) extracting shape information values of the image corresponding to the location information values to generate code information according to the shape information values (S400); (e) integrating the result values extracted or generated by the steps (b) (S200), (c) (S300) and (d) (S400) to match the information of the image (S500). ); (f) extracting images having a high sink rate in order by comparing the integrated result with identification information of an image previously stored in a database (S600); (g) transmitting the extracted image to the mobile terminal (S700); And (h) receiving information of the transmitted image and displaying the information on the mobile terminal (S800).

In step (a), when the user takes a picture through the mobile terminal and manipulates a menu to be transmitted to the web server, the captured image is outputted from the mobile terminal and transmitted to the web server through a communication service provider network. .

In addition, after performing step (d) (S400), (d-1) may further include calculating a size value for the entire image of the shape of the image (S450).

As shown in FIG. 5, the step (b) (S200) may include: (b-1) generating code information according to the distribution of the color by extracting the color most distributed in the image (S210); And (b-2) generating code information according to a distribution of colors other than the maximum color distributed in the image (S220).

As shown in FIG. 6, the step (c) (S300) may include (c-1) generating code information according to the color position of the main color (S310); (c-2) generating code information according to a ratio of color distribution at a color position of the main color (S320); And (c-2) generating code information according to the arrangement order of the color positions of the main colors (S330).

The step (e) (S500), the color (a1, a2, ..., al) generated in the step (b) (S200) to (d) (S400), the position (b1, b2,. .., bm), shape (c1, c2, ..., cn), size (d1, d2, ..., do) information value is a vector value (a1, ..., al, b1, ... , bm, c1, ..., cn, d1, ..., do). In addition, the vectors combined in the above-described manner are indexed together with the names of the objects, and the indexed annotations and images are passed to the comparison analysis unit, and then the result value of the image photographed through the similarity function in step (f). And the think rate of the image result of the object stored in the database.

As shown in FIG. 7, the step (h) (S800) is extracted by the web server in the step (f) (S600), and is transmitted to the mobile terminal through the step (g) (S700). And, the think rate corresponding to each image is displayed through the mobile terminal. For example, a rose is photographed using a smartphone, and the photographed image is transmitted to a web server to display the image and the extracted images in the order of high sink rate with the name. In this case, the mobile terminal may search for an image to be searched among the images transmitted from the web server, and if there is no image to be searched, the mobile terminal may request a re-search to the web server.

As described above, according to the present invention, the image taken using the mobile terminal is transmitted to the web server, and the web server extracts the images from the pre-stored images in the order of high sync rate to the mobile terminal. By transmitting and displaying, it is possible to search for an image matching the image more easily.

As described above, it is to be understood that the technical structure of the present invention can be embodied in other specific forms without departing from the spirit and essential characteristics of the present invention.

Therefore, the exemplary embodiments described above are to be understood as illustrative and not restrictive in all respects, and the scope of the present invention is indicated by the following claims rather than the detailed description, and the meaning and scope of the claims and their All changes or modifications derived from equivalent concepts should be construed as being included in the scope of the present invention.

Claims (8)

A mobile terminal for capturing an image, transmitting the photographed image to a web server, and receiving and displaying image information transmitted from the web server; And
Receiving an image from the mobile terminal to analyze the information of the image, and compares the analysis result with the identification information of the pre-stored image and transmits the image having a high sink rate in order to the mobile terminal; Is an image search system,
The web server,
A data receiver receiving an image from the mobile terminal;
A color value extracting unit analyzing the information of the image and extracting main color values included in the image in order;
A location information extraction unit for extracting location information values in which the main color information is distributed and generating code information according to the location information values;
A shape extracting unit which extracts shape information values of the image corresponding to the location information values and generates code information according to the shape information values;
A data integration unit for integrating a result value extracted or generated by the color value extraction unit, the location information extraction unit, and the shape extraction unit to match the information of the image;
A comparison and analysis unit configured to extract images having a high think rate in order by comparing the result values integrated by the data integration unit with identification information of an image previously stored in a database; And
And a data transmission unit for transmitting the image extracted by the comparison analysis unit to the mobile terminal. The method of claim 1,
An image retrieval system is provided between the shape extracting unit and the data integration unit to calculate a size value of the entire image of the shape of the image. The method according to claim 1 or 2,
The color value extracting unit may include: a main color value extracting unit extracting a color most distributed in the image to generate code information according to the distribution of the colors; And
And an auxiliary color value extraction unit for generating code information according to a distribution of colors other than the maximum color distributed in the image. The method according to claim 1 or 2,
The position information extracting unit may include: a position value generating unit generating code information according to color positions of the main colors;
A distribution value generator for generating code information according to a ratio of color distribution at a color position of the main color; And
And an array value generator for generating code information according to the arrangement order of the color positions of the main colors. (a) photographing an image through a mobile terminal and transmitting the photographed image to a web server;
(b) receiving an image from the mobile terminal, analyzing information of the received image, and extracting main color values included in the image in order;
(c) extracting location information values in which the main color information is distributed and generating code information according to the location information values;
(d) extracting shape information values of the image corresponding to the location information values to generate code information according to the shape information values;
(e) integrating result values extracted or generated by the steps (b), (c) and (d) to match the information of the image;
(f) extracting images having a high think rate in order by comparing the integrated result with identification information of an image previously stored in a database;
(g) transmitting the extracted image to the mobile terminal; And
(h) receiving the information of the transmitted image and displaying the information on the mobile terminal. The method of claim 5,
After performing the step (d), (d-1) further comprising the step of calculating the size value for the entire image of the shape of the image. The method according to claim 5 or 6,
The step (b)
(b-1) generating code information according to the distribution of the colors by extracting the color most distributed in the image; And
(b-2) generating code information according to a distribution of colors other than the color most distributed in the image. The method according to claim 5 or 6,
The step (c)
(c-1) generating code information according to the color position of the main color;
(c-2) generating code information according to a ratio of color distribution at a color position of the main color; And
(c-2) generating code information according to the arrangement order of the color positions of the main colors.
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WO2014007586A1 (en) * 2012-07-06 2014-01-09 Samsung Electronics Co., Ltd. Apparatus and method for performing visual search
KR101448174B1 (en) * 2013-04-03 2014-10-08 주식회사 다음커뮤니케이션 Method of serching image and server apparatus thereof
KR20150140392A (en) * 2013-09-05 2015-12-15 이베이 인크. Estimating depth from a single image
US9292541B2 (en) 2012-04-17 2016-03-22 Electronics And Telecommunications Research Institute Method of providing online information using image information
CN105468772A (en) * 2015-12-10 2016-04-06 广东欧珀移动通信有限公司 Picture searching method applied at mobile terminal and mobile terminal
WO2016186289A1 (en) * 2015-05-18 2016-11-24 김동주 System and method for providing information using image recognition technique
WO2018147625A1 (en) * 2017-02-08 2018-08-16 (주)아모레퍼시픽 Apparatus and method for searching for make-up product
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Publication number Priority date Publication date Assignee Title
US9292541B2 (en) 2012-04-17 2016-03-22 Electronics And Telecommunications Research Institute Method of providing online information using image information
WO2014007586A1 (en) * 2012-07-06 2014-01-09 Samsung Electronics Co., Ltd. Apparatus and method for performing visual search
US9256617B2 (en) 2012-07-06 2016-02-09 Samsung Electronics Co., Ltd. Apparatus and method for performing visual search
KR101448174B1 (en) * 2013-04-03 2014-10-08 주식회사 다음커뮤니케이션 Method of serching image and server apparatus thereof
KR20150140392A (en) * 2013-09-05 2015-12-15 이베이 인크. Estimating depth from a single image
US10255686B2 (en) 2013-09-05 2019-04-09 Ebay Inc. Estimating depth from a single image
WO2016186289A1 (en) * 2015-05-18 2016-11-24 김동주 System and method for providing information using image recognition technique
CN105468772A (en) * 2015-12-10 2016-04-06 广东欧珀移动通信有限公司 Picture searching method applied at mobile terminal and mobile terminal
WO2018147625A1 (en) * 2017-02-08 2018-08-16 (주)아모레퍼시픽 Apparatus and method for searching for make-up product
KR20200005060A (en) 2018-07-05 2020-01-15 십일번가 주식회사 A method for image searching using an captured image based on guidelines and an apparatus therefor
KR20200021737A (en) 2018-08-21 2020-03-02 십일번가 주식회사 A method for image searching using real time popular search word and an apparatus therefor
KR20200023091A (en) 2018-08-24 2020-03-04 십일번가 주식회사 Image search method for providing information about similarity and apparatus therefor
KR20200024037A (en) 2018-08-27 2020-03-06 십일번가 주식회사 Image search method using filtering and apparatus therefor
KR20200026373A (en) 2018-08-30 2020-03-11 십일번가 주식회사 Image search method using search history and apparatus therefor

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