JP4075460B2 - Image data search method and data input method - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an image data search method and a data input method, and more particularly to an image data search method and a data input method capable of accurately and easily searching for a desired image.
[0002]
[Prior art]
In the conventional image data search method, all assigned keywords are associated with one image. For this reason, there has been a problem that the content relating to the keyword is detected as a search result regardless of where the image is located.
[0003]
In order to solve this problem, Japanese Patent Application Laid-Open No. 11-53370 discloses a method of dividing an image into tiles and associating a keyword with each tile.
[0004]
[Problems to be solved by the invention]
However, in the above-described method, it is very difficult to associate a keyword with each tile, and there is a problem that as the tile is divided finely, the operation of assigning keywords increases.
[0005]
In addition, the search range is specified by words such as “center” and “bottom right” at the time of search. If a desired image is not detected in one search, the search range is slightly expanded. There was a problem that it could not be redone.
[0006]
The present invention has been made in view of these problems, and an object of the present invention is to provide an image data search method and a data input method capable of accurately and easily searching for a desired image.
[0007]
[Means for Solving the Problems]
In order to achieve the above object, according to one aspect of the present invention, an image data search method is an image data search method for searching for desired image data from image data stored in a predetermined storage medium. An input step for receiving an input of a keyword and position information indicating a search target range in desired image data, a search keyword, position information given to the search keyword, and a corresponding image data name A reading step for reading the table, a searching step for searching image data corresponding to the received search keyword and the received position information from the read table, and output for outputting the searched image data as desired image data Steps.
[0008]
According to another aspect of the present invention, an image data search method is an image data search method for searching for desired image data from image data stored in a predetermined storage medium, wherein a search keyword and whether or not detection is possible. An input step for receiving an input of a threshold value to be determined; a first table in which a search keyword is associated with image data names corresponding to position information assigned to the search keyword; A second step of reading a second table storing the relationship between the first search table and a search step of searching the image data corresponding to the positional information given to the received search keyword from the read first table; Read the weight data in the position information retrieved from the read second table, and the read weight data is equal to or greater than the accepted threshold value. When it is determined and a determination step of determining, to be equal to or more than threshold value read out weighting data is accepted, and an output step of outputting as image data desired to be corresponding image data.
[0009]
The position information described above is desirably information indicating a range specified by coordinates in the image data.
[0010]
According to another aspect of the present invention, a data input method includes: an adding step of adding a keyword and position information indicating a position where content corresponding to the keyword exists in the image data to the image data; A storage step of storing a table in which the image data name, the assigned keyword, and the assigned position information are associated with each other.
[0011]
The position information described above is preferably coordinate information specified by coordinates in the image data.
[0012]
DETAILED DESCRIPTION OF THE INVENTION
Embodiments of the present invention will be described below with reference to the drawings. In the following description, the same parts and components are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.
[0013]
FIG. 1 is a diagram showing a hardware configuration of an image data search system (hereinafter simply referred to as a system) in the present embodiment.
[0014]
Referring to FIG. 1, the system according to the present embodiment is composed of a CPU (Central Processing Unit) and the like, and controls control unit 101 that controls the entire system, a program executed by control unit 101, and the following description. And a memory 105 that stores various tables and the like. The monitor 102 is configured by a display, input devices such as a mouse 103 and a keyboard 104, a hard disk 105, a CD-ROM (Compact Disk Read Only Memory) drive 107, and an MO (Magneto-Optical disc) drive 108. The
[0015]
Since the system shown in FIG. 1 is a system constructed by a general personal computer, workstation, or the like, the hardware configuration shown in FIG. 1 is a hardware configuration of a general personal computer, workstation, or the like. It is a configuration. Therefore, the configuration of the system in the present embodiment is not limited to the configuration shown in FIG.
[0016]
Next, FIG. 2 is a block diagram showing processing functions of an image data search program executed in the system of the present embodiment. FIG. 2 shows a plurality of program modules included in the image data search program in the present embodiment and data used by these.
[0017]
Specifically, referring to FIG. 2, search keyword and the like reading unit 201 performs a process of reading the search keyword received from the user with the mouse 103 and the keyboard 104, the center coordinates of the search range, and the distance from the center coordinates. It is a program module.
[0018]
The search instruction unit 202 is a program module that performs processing for instructing the image data search unit 204 (to be described later) to perform a search based on a value read by the search keyword reading unit 201.
[0019]
The search result display unit 203 is a program module that performs processing for causing the monitor 102 to display the image data name detected as a result of searching by the image data search unit 204 described later.
[0020]
The image data search unit 204 collates the search keyword instructed by the search instruction unit 202 with the description of the keyword table 205 described later, acquires the image data name to which the keyword that matches the search condition is given, It is a program module that performs processing for passing a search result to the search result display unit 203.
[0021]
The keyword table 205, the detection file name 206, and the image data 207 indicate data stored in the storage unit. The keyword table 205 indicates data in which an image data file and a keyword assigned to the image data file are associated with each other. The detection file name 206 indicates data for storing an image data name to which a keyword matching the search condition is assigned. The image data 207 indicates data that stores image data associated with a keyword. Note that the data shown in the keyword table 205, the detection file name 206, and the image data 207 may be stored in the memory 105, or may be stored in another storage unit such as the hard disk 106.
[0022]
An OCR (Optical Character Reader) processing unit 208 is a program module that performs processing for recognizing characters from image data.
[0023]
The keyword table creation unit 209 is a program module that performs processing for creating the keyword table 205 described above.
[0024]
In this system, the control unit 101 reads the above-described image data search program from the memory 105, and the control unit 101 appropriately operates the above-described modules included in the program, thereby searching for the image data 207.
[0025]
In order to perform image data search processing in this system, it is necessary to add keywords to the searched image data. Thus, a keyword assignment process for assigning a keyword to image data to be searched will be described with reference to the flowchart shown in FIG. In the description of the processing shown in the flowchart of FIG. 3, the image data that is the search target shown in FIGS. 4 and 5 is taken as a specific example. FIG. 6 shows a specific example of the keyword input screen displayed on the monitor 102 of the present system when the processing shown in the flowchart of FIG. 3 is executed.
[0026]
Referring to FIG. 3, first, the image data name to which a keyword is to be assigned is received from the user with the mouse 103, the keyboard 104, etc., and the received image data is opened on the monitor 102 (S11). Specifically, the image data shown in FIG. 4 is opened on the monitor 102 by accepting the input of the image data name Sports.bmp here.
[0027]
Next, selection of keyword addition processing is accepted (S12), and one point indicating the position of the content on the image is accepted by clicking with the mouse 103 (S13), and the keyword input screen shown in FIG. Is opened on the monitor 102 (S14). In step S14, the keyword input screen is opened with the coordinate values, which are the position information received in step S13, and the image data names received in step S11 being input as default values in the respective input areas of the keyword input screen. . Then, change of these values is accepted on the keyword input screen.
[0028]
Specifically, in the image data shown in FIG. 4, the keyword input screen shown in FIG. 6 is opened on the monitor 102 by clicking one point near the content showing the person who skis.
[0029]
Next, the keyword input is accepted on the keyword input screen (S15), and when the OK button is pressed (OK in S16), the keyword table 205 is opened (S17). A specific example of the keyword table 205 will be described later. Then, the input keyword, coordinates, and image data name are added to the keyword table 205 (S18), and the keyword table 205 is closed (S19). That is, on the input screen shown in FIG. 6, the keyword “ski” is input and the OK button is pressed, and the keyword “ski” is clicked first in the keyword table 205 (may be changed thereafter). One line of coordinates and the image data name Sports.bmp are added.
[0030]
Thereafter, the keyword input screen is closed (S20), and the image data is closed (S21).
[0031]
If the OK button is not pressed in step S16 and the Cancel button is pressed, the process of steps S17 to S19 is not executed, the keyword input screen is closed, and the image data is closed (S20, 21).
[0032]
This completes the keyword assignment process.
The keyword table 205 can be created by repeating the above-described processing for the number of keywords to be assigned.
[0033]
The creation of the keyword table 205 described above is executed when the control unit 101 of the system operates the keyword table creation unit 209 that is a program module.
[0034]
7 and 8 are diagrams illustrating specific examples in which the above-described processing is executed and keywords are assigned to the image data illustrated in FIGS. 4 and 5. FIG. 9 is a diagram showing a specific example of the keyword table 205 created from the keywords assigned to the image data shown in FIGS. 4 and 5.
[0035]
By executing the keyword assignment process described above, keywords are assigned to positions selected by the user in FIGS. 4 and 5 as shown in FIGS.
[0036]
In addition, as shown in FIG. 9, the keyword assigned to the image data in the above-described processing, the coordinates that are the position information given to the keyword, and the image data name to which the keyword is assigned are shown in the keyword table 205. Is added one line at a time. Note that one keyword table 205, a specific example of which is shown in FIG. 9, may be created for all the image data 207 stored in the system, or a predetermined number of image data 207 may be stored. It may be created for each image data 207.
[0037]
The keyword table 205 created in this way is stored in a storage device such as the memory 105 of this system.
[0038]
The keyword table 205 can also be created from a character string included in the image data. In this case, the control unit 101 of the system extracts the character string included in the image data by operating the OCR processing unit 208 that is a program module. For example, when the layout and font attribute information is image data included in the file, such as a PDF (Portable Document Format) file whose specific example is shown in FIG. 10, it is included in the image data by the OCR processing unit 208. It is effective to extract a character string. Then, when the control unit 101 of the system operates the keyword table creation unit 209, the keyword table 205 is created based on the extracted keywords and the coordinates indicating the position where the character string exists. FIG. 11 shows a specific example of the keyword table 205 created with keywords extracted from the image data whose specific example is shown in FIG.
[0039]
The keyword table 205 created in this way is also stored in a storage device such as the memory 105 of this system.
[0040]
Next, processing for searching the above-described image data 207 in the system of the present embodiment will be described with a specific example.
[0041]
FIG. 12 is a flowchart showing image data search processing.
First, the input unit such as the mouse 103 and the keyboard 104 receives a search keyword from the user (S001). Subsequently, the coordinates and distance for specifying the search range are received (S002).
[0042]
The keywords and other conditions accepted in steps S001 and S002 are read by operating the search keyword etc. reading unit 201, which is a program module, and a search instruction is issued from the search instruction unit 202 to the image data search unit 204.
[0043]
Then, by the operation of the image data search unit 204, a keyword search process for searching for image data 207 that matches the keyword accepted in step S001 and includes the keyword within the search range accepted in S002. It is executed (S003).
[0044]
In this system, when the image data 207 is searched, the above main routine is executed.
[0045]
FIG. 13 shows a specific example of the search condition designation screen displayed on the monitor 102 of this system when receiving the input of the search condition from the user in the above-described steps S001 and S002. In the specific example shown in FIG. 13, in step S003 described above, referring to FIG. 14, the keyword “ski” received in step S001 described above is a distance centered on the coordinates (0, 0) received in step S002. A keyword search process for searching for image data included in the range of 50 pixels is executed. FIG. 14 is a diagram showing a specific example of the search range designated on the search condition designation screen shown in FIG.
[0046]
Accordingly, the keyword search processing executed in step S003 described above will be described with reference to specific examples shown in FIGS. 13 and 14 with a subroutine shown in FIG. The process shown in the flowchart of FIG. 15 is executed when the control unit 101 mainly operates the image data search unit 204.
[0047]
Referring to FIG. 15, when the input in steps S001 and S002 described above is accepted, keyword table 205 is opened (S201), and data is read line by line from the first line among the data described in the line of keyword table 205. (S202, S203).
[0048]
When the input of the keyword “ski” shown in FIG. 13 is accepted in step S001 described above, it is determined whether or not the keyword in the row in the keyword table 205 whose specific example is shown in FIG. 9 matches “ski”. Check (S204). If they match (Yes in S204), a coordinate position that is position information given to the keyword “ski” described in the row is acquired (S205). Further, it is checked whether or not the position coordinates of the keyword “ski” are within the search range accepted in step S002 described above (S206).
[0049]
Specifically, in step S206, first, the position coordinates (−20, 10) of the keyword “ski” are read. Then, the distance between the coordinates (0, 0) shown in the specific example of FIG. 13 and the position coordinates (−20, 10) of the keyword “ski” is calculated as follows.
[0050]
(distance)²= (Accepted X coordinate-Keyword X coordinate)²
+ (Accepted Y coordinate-keyword Y coordinate)²
(distance)²= (0-(-20))²+ (0-10)²= 500
Distance ≒ 22.36pixel
It is compared whether or not the calculated distance (22.36 pixels) is within the distance (50 pixels) that is the accepted search range (S207). If the keyword is within the search range as a result of the comparison (Yes in S207), the image data name is read from the keyword table 205 and the detected file name 206 is detected in order to detect image data including this keyword as a search result. (S208).
[0051]
In the specific example described above, the position coordinate of the keyword “ski” is within the search range of a distance of 50 pixels received from the received coordinates (0, 0) shown in FIG. It is determined that “ski” is within the search range, and the image data name Sports.bmp in the ski row (first row) of the keyword table 205 shown in FIG. 9 is stored as the detected file name 206.
[0052]
The processes in steps S203 to S208 described above are repeated until the last line of the keyword table 205 (S209, 210), and all the image data names stored as the detected file names 206 are displayed on the monitor 102 as search results (S211). Note that the process of displaying the search result on the monitor 102 in step S211 is executed by operating the search result display unit 203.
[0053]
Then, the keyword table 205 is closed (S212), the keyword search process is terminated, and the process returns to the main routine shown in FIG.
[0054]
FIG. 16 shows a specific example of display of a search result as a result of performing the above-described image data search processing.
[0055]
By the way, when the processes of steps S203 to S209 described above are repeated and the keyword table 205 whose specific example is shown in FIG. 9 is read up to the 10th line, the keyword “ski” again matches in step S204. Therefore, the position coordinates (−160, 60) are acquired in the subsequent step S205.
[0056]
At this time, the distance between the coordinates (0, 0) and the position coordinates (−160, 60) shown in the specific example of FIG. 13 is calculated as follows.
[0057]
(distance)²= (Accepted X coordinate-Keyword X coordinate)²
+ (Accepted Y coordinate-keyword Y coordinate)²
(distance)²= (0-(-160))²+ (0-60)²= 29200
Distance ≒ 170.88pixel
Since the calculated distance is not within the distance (50 pixels) that is the accepted search range, it is determined in step S207 that the matched keyword “ski” is not in the search range (No in S207). The image data name (Vehicle.bmp) on the 10th line of the keyword table 205 is not stored as the detected file name 206.
[0058]
As described above, in the image data search system according to the present embodiment, the above-described image data search process is executed by giving two-dimensional position information to keywords corresponding to content included in image data. Therefore, the content indicated by the keyword can be searched within the search range specified by the user at the same time as the search keyword, and the image data including the content can be searched. That is, since the search process is executed by narrowing down the search position, it is possible to prevent erroneous image data from being extracted as a detected image and to perform reliable image data search. For example, it is possible to prevent the image from being detected as a search result by performing a search process on the image at the edge of the image. In addition, by executing the keyword input process described above, it is possible to ensure the image data search process described above with easy work.
[0059]
Furthermore, in the above search processing, since the input of the search range is accepted from the user, when the desired search result is not obtained by one search, the search processing is performed by changing the distance from the coordinate position designated as the search range. By repeating, the search range can be easily expanded and desired image data can be reliably searched.
[0060]
In the following, in the process of checking whether or not the keyword is in the search range shown in step S206 described above, other methods for specifying the search range and the search condition are given as modified examples.
[0061]
[Modification 1]
As a first modification, the inside of the search range is specified by the center position of the search range and the ratio to the image diagonal length.
[0062]
FIG. 17 is a diagram showing a specific example of a search condition designation screen in the first modification.
Then, as shown in a specific example in FIG. 17, the search range when the center position of the search range is accepted as the center coordinate (0, 0) and the ratio to the image diagonal length is 50% is shown in FIG.
[0063]
Here, since the distance of half of the diagonal length is 100%, if the ratio to the image diagonal length is accepted as 50%, the radius of the search range becomes a distance of one quarter of the diagonal length. In step S206 in FIG. 15, it is checked whether or not the matched keyword is within the search range specified by the above-described method.
[0064]
[Modification 2]
As a second modification, the search range is designated by the area and the distance from the area.
[0065]
FIG. 19 is a diagram showing a specific example of a search condition designation screen in the second modification. Referring to FIG. 19, in the second modification, as a specific example, an area having a coordinate 1 (−30, 30) and a coordinate 2 (60, 0) as a diagonal, and a distance ( 50pixel).
[0066]
FIG. 20 shows a search range when a specific example is shown in FIG. Referring to FIG. 20, the search range at this time is a range from the end of the area surrounded by coordinates 1 (−30, 30) and coordinates 2 (60, 0) to 50 pixels. Or the area | region in the above-mentioned area may also be included in the search range. In step S206 of FIG. 15, it is checked whether or not the matched keyword is within the search range specified by the above-described method.
[0067]
[Modification 3]
In the third modification, the user creates a map for designating the weighting points in advance for the search range. This map is referred to as a score map for convenience of the following description. A specific example of this score map (score map 1) is shown in FIG.
[0068]
21 is stored as a data table as shown in FIG. 22 in a storage device such as the memory 105 of the present system.
[0069]
Referring to FIG. 21 and FIG. 22, for example, in the point map of FIG. 21, a range 21-1 is a range of “9 points”, and a range of a circle with central coordinates (0, 0) and a radius of 30 pixels. However, in the data table of FIG. 22, the data in the range is held as in the row 22-1.
[0070]
Similarly, in the score map of FIG. 21, the range 21-2 is a range of “8 points” and is designated as a rectangular range of the start point (−50, 50) and the end point (50, 50). In the data table of FIG. 22, the data in the range is held as shown in the row 22-2.
[0071]
When designating a search condition in the third modification, the user designates a search keyword, a score map, and a threshold value. FIG. 23 is a diagram showing a specific example of a search condition designation screen in the third modification.
[0072]
At this time, in step S206 of FIG. 15, the process shown in the flowchart of FIG. 24 is executed.
[0073]
Referring to FIG. 24, first, the designated score map data table is opened (S301), the scores are read out in order from the first row (S302, S303), and the designated threshold value and score are obtained. Compare (S304). In the case of the specific example shown in FIG. 23, since the score map 1 is designated, in step S301, the score map 1 shown in FIG. 22 is opened.
[0074]
If the number of points read out is equal to or greater than the specified threshold value (Yes in S304), the “shape”, “center coordinate”, “distance” (or “shape” and “coordinate 1”) read from the data table are displayed. It is calculated whether or not the position coordinates of the keyword acquired in step S205 of FIG. 15 are included in the range represented by “coordinate 2” (S305, S306). If this is the case (Yes in S307), a search range flag is set (S308). Then, the next row of the data table is read, and the above processing is repeated until the last row of the data table is reached.
[0075]
If the read score is smaller than the specified threshold value (No in S304), or if the position coordinates of the keyword are not included in the read range (No in S307), the flag within the search range The next row of the data table is read out, and the above processing is repeated until the last row is reached.
[0076]
When the data table shown in FIG. 22 is read, since only the score of the line 22-1 and the line 22-2 (the first line and the second line) is the specified threshold value 8 or more, It is calculated whether or not the position coordinates of the keyword “ski” are included only in the range read from.
[0077]
When the last row of the data table is read and the above-described processing is executed (Yes in S309), the score map data table is closed (S311), and the processing returns to the main routine shown in FIG.
[0078]
Further, in the third modification, in step S207 of FIG. 15, when the above-described search range flag is set, the process proceeds to step S208. When the search range flag is not set, the process proceeds to step S208. The process proceeds to step S209.
[0079]
In the above-described third modification, a plurality of score maps are prepared, and weighting is easily performed by changing the score map used for search processing to another score map on the search condition designation screen shown in FIG. You can perform changed searches.
[0080]
A specific example of a score map (score map 2) different from the score map shown in FIG. 21 is shown in FIG. 25, and a data table of the score map shown in FIG. 25 is shown in FIG.
[0081]
For example, by designating the score map to the score map shown in FIG. 21, it is possible to perform a search with a weighting different from that when the score map shown in FIG. 21 is designated.
[0082]
By designating various search ranges and conditions as shown in the first to third modifications, image data desired by the user can be searched more reliably. In addition, user convenience is greatly improved. In addition, by performing weighting on image data and performing a search as shown in Modification 3, a search range can be easily specified, and desired image data can be searched more reliably.
[0083]
In this embodiment, the image data search device and the search method for searching for desired image data from the image data stored in a predetermined storage device have been described. Other forms of data, such as data, are also included.
[0084]
Furthermore, a method for retrieving image data and a method for assigning keywords to the image data in the above-described image data retrieval system can be provided as a program. Such a program can be recorded on a computer-readable recording medium such as a flexible disk, a CD-ROM, a ROM, a RAM, and a memory card attached to the computer and provided as a program product. Alternatively, the program can be provided by being recorded on a recording medium such as a hard disk built in the computer. A program can also be provided by downloading via a network.
[0085]
The provided program product is installed in a program storage unit such as a hard disk and executed.
[0086]
The program product includes the program itself and a recording medium on which the program is recorded.
[0087]
The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.
[Brief description of the drawings]
FIG. 1 is a diagram illustrating a hardware configuration of an image data search system according to an embodiment.
FIG. 2 is a block diagram showing processing functions of an image data search program executed in the image data search system of the present embodiment.
FIG. 3 is a flowchart showing a keyword assignment process for assigning a keyword to image data.
FIG. 4 is a diagram illustrating a specific example of image data.
FIG. 5 is a diagram illustrating a specific example of image data.
FIG. 6 is a diagram illustrating a specific example of a keyword input screen.
7 is a diagram showing a specific example in which a keyword is assigned to the image data shown in FIG.
8 is a diagram showing a specific example in which a keyword is added to the image data shown in FIG.
FIG. 9 is a diagram showing a specific example of a keyword table 205 created from keywords.
FIG. 10 is a diagram illustrating a specific example of image data that is a PDF file.
11 is a diagram showing a specific example of a keyword table 205 created with keywords extracted from the image data whose specific example is shown in FIG.
FIG. 12 is a flowchart showing image data search processing.
FIG. 13 is a diagram showing a specific example of a search condition designation screen.
FIG. 14 is a diagram illustrating a specific example of a search range.
FIG. 15 is a flowchart showing keyword search processing;
FIG. 16 is a diagram illustrating a specific example of display of a search result.
FIG. 17 is a diagram showing a specific example of a search condition designation screen in the first modified example.
FIG. 18 is a diagram showing a specific example of a search range in the first modified example.
FIG. 19 is a diagram showing a specific example of a search condition designation screen in the second modified example.
FIG. 20 is a diagram showing a specific example of a search range in the second modified example.
FIG. 21 is a diagram showing a specific example (score map 1) of a score map.
FIG. 22 is a diagram showing a specific example of a data table based on the score map 1 of FIG.
FIG. 23 is a diagram showing a specific example of a search condition designation screen in the third modified example.
FIG. 24 is a flowchart showing a process for checking whether or not a search range is in the third modified example.
FIG. 25 is a diagram showing a specific example of a score map (score map 2).
FIG. 26 is a diagram showing a specific example of a data table based on the score map 2 of FIG.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 101 Control part, 102 Monitor, 103 Mouse, 104 Keyboard, 105 Memory, 106 Hard disk, 107 CD-ROM drive, 108 MO drive, 201 Keyword reading part, 202 Search instruction part, 203 Search result display part, 204 Image data search , 205 keyword table, 206 detection file name, 207 image data, 208 OCR processing unit, 209 keyword table creation unit.

Claims (4)

A computer-executed image data retrieval method for retrieving desired image data from image data stored in a predetermined storage medium,
An input step for receiving an input of a search keyword and a ratio with respect to a center position and an image diagonal length as information indicating a search range in the desired image data
A reading step of reading a table in which a search keyword, position information given to the search keyword, and a corresponding image data name are associated;
Obtaining the position information given to the accepted search keyword from the read table;
Specifying as the search range a circular area having a radius specified by a ratio to the diagonal length of the image centered on the center position as the search range;
A search step of searching whether or not the position information given to the search keyword is included in the search range, and acquiring the image data name corresponding to the search keyword from the table if included. When,
An image data search method comprising: an output step of outputting the image data name acquired in the search step as an image data name of the desired image data. In the search step, when the search range does not include the position information given to the search keyword, further comprising the step of expanding the search range,
The image data search method according to claim 1, wherein the search step searches for whether or not position information given to the search keyword is included in the expanded search range. The search keyword used in the image data search method according to claim 1 , wherein desired image data is searched from image data stored in a predetermined storage medium, and position information given to the search keyword, A computer-executed data input method for inputting data for generating the table associated with corresponding image data names,
Displaying image data; and
Receiving input of position information for specifying a position on the image data;
Displaying an input screen for inputting a keyword associated with the position specified by the position information of the image data by receiving the input of the position information;
Receiving the keyword input on the input screen;
A data input method comprising: associating an image data name of the image data, the received keyword, and the received position information with each other and adding the information to the table. The search keyword used in the image data search method according to claim 1 , wherein desired image data is searched from image data stored in a predetermined storage medium, and position information attached to the search keyword; A computer-implemented data input method for inputting data for generating the table associated with corresponding image data names,
Extracting a character string from image data;
Obtaining a position on the image data where the character string exists;
Using the character string as a keyword, associating the image data name of the image data, the keyword, and position information indicating the position of the character string as the keyword on the image data, and adding to the table A data input method.

Images