JPH05242162A - Unit and method for information processing - Google Patents

Abstract

PURPOSE:To increase the retrieval speed and to reduce the load of operation such as a registering process by providing different data bases having different contents including images, and relating the informations in the respective data bases to each other by using information with single contents. CONSTITUTION:A retrieving means 15 retrieves a document information data base 18 according to an input retrieval instruction for document information to take the document information and position information as common information out. The document information is temporarily stored in a display buffer 17 and the position information is sent to a key converting means 16. An image information data base 19 retrieves image information according to the position information and the attribute information of the image information, and sends the result to the display buffer 17 and the image attribute information to the key converting means 16. The retrieving means 15 converts the position information as the common information into position information as image control information by using the key converting means 16 and sends the result to the display buffer 17. The display means 11 relates the document information to image information according to the position information as the image control information and displays it and shows the retrieval result to the operator.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information processing apparatus and an information processing method for handling image information, character / numerical value information or map information.

[0002]

2. Description of the Related Art In order to manage multimedia information that has both topographical information such as map information and topographical attribute information such as land usage patterns, it has been conventionally described in Japanese Patent Laid-Open No. 1-169675. As described above, each information is managed by using the relation table.

The above-mentioned conventional technique will be described by taking an information processing apparatus for handling prefectural office locations and satellite image information as shown in FIG.

In FIG. 16, reference numeral 400 denotes a satellite image information database, which is image 1 to image 4 (401 to 40).
4) represents satellite image information stored in this database. Further, 405 represents a prefectural office location database, and 409 to 421 represent records stored in this database.

Prefectural office location database (405)
Each record is a place name (406), a satellite image number (407) including the location of the prefecture, and a position (4) in the image.
08). However, the position in the image is represented by the line pixel coordinate value of the image.

Initially, records of 409 to 415 are stored in the prefectural office location database, and images 1 (401) to 3 (403) are stored in the satellite image information database.
Is stored. Image 1 includes Tokyo, Chiba and Utsunomiya, image 2 includes Tokyo and Chiba, and image 3 includes Tokyo and Utsunomiya. Therefore, the prefectural office location database stores a total of 7 records (409 to 415) of place names such as Tokyo, Chiba, and Utsunomiya, and the image number of the image including them and the position in the image. The image number and the position in the image are schematically expressed as an arrow 422.

Data retrieval / registration / update / deletion processing in the information processing apparatus will be described below with reference to an example.

(1) Search Process A process of searching a satellite image including "Tokyo" using the information processing apparatus will be described.

The search processing operator inputs "Tokyo" which is the prefectural office location name into the information processing apparatus. The information processing device searches the prefecture office location database using the input place name "Tokyo" as a search key, and retrieves three records (409 to 411) having "Tokyo" as the prefecture office location name. The image number is obtained from the retrieved record.

Next, the information processing apparatus searches the satellite image information database using the image number as a search key, and the images 1 (401) to 3 (403) corresponding to the three records (409 to 411) searched by the above processing. ) Take out.

The above search processing speed depends on the number of records stored in the information processing apparatus. In this information processing apparatus, when the number of registered place names is M and the number of satellite images is N, the prefecture office location database has M × N records. Therefore, there is a problem that the search speed is greatly reduced as the number of registered data items increases.

(2) Registration Processing Image 4 (4
A case of newly registering 04) will be described.

First, the registration worker visually checks the prefectural office location name included in the image 4. Next, the registration processing operator checks the position in the image 4 of the prefectural office location name. The resulting data is added to the prefectural office location database. Since the image 4 includes the above three place names, the registration processing operator newly adds three records indicating the place names of Tokyo, Chiba, and Utsunomiya, the image number 4, and their positions in the image 4 to the prefecture office location database. (416 to 418) are added.

Next, a case where "Saitama" is newly registered as a prefectural office location in the information processing apparatus will be described.

In order to obtain the satellite image including "Saitama" and the position of "Saitama" in the satellite image, the registration processing operator acquires image 1 (40) included in the satellite image information database (400).
Visual inspection of image 3 (403) from 1). Image 1 (4
If all of 01) to image 3 (403) include Saitama, the registration processing operator newly adds the data indicating the image number including “Saitama” and “Saitama” and the position in the image to the prefecture office location database. Add 3 records (419 to 421).

As described above, when registering a new image, for all place names registered in the prefectural office location database, whether or not they are included in the new image,
Workers need to investigate. In addition, when registering a new prefectural office location name, it is necessary for the worker to investigate whether or not all the images registered in the satellite image information database include the new place name. Moreover, the satellite image differs in the shooting range and the size occupied by the survey target image depending on the sensor, and even within the same sensor, the position in the survey target image varies depending on the shooting conditions. I have no choice. Therefore, there is a problem that the operator's burden in the registration process is heavy and the possibility of erroneous processing increases. These problems become remarkable as the stored data increases.

(3) Update Processing A case of updating the position in the image of “Tokyo” that has been registered in the information processing apparatus will be described.

In order to obtain the record to be updated, the update processing worker searches the prefectural office location database for three records (409 to 411) including "Tokyo" according to the procedure described in the above search processing example. Further, in order to obtain the position in the image after the change of “Tokyo”, the image 1 (401) to the image 3 (40) including “Tokyo” are acquired from the satellite image information database.
Search 3). The update processing operator obtains the position in the image of “Tokyo” that is newer than the image corresponding to each of the three records 409 to 411. Then, the three records 409 to 411 are updated with the new position in the image.

As described above, in updating the position in the image, the operator needs to check the positions in the new image for all the wrong place names registered in the prefecture office location database. Moreover, for the same reason as the above-mentioned registration processing, the above-mentioned investigation has to be done by visual inspection. Therefore, there is a problem that the operator's burden in the updating process is heavy. This problem becomes remarkable as the stored data increases.

(4) Deletion processing Image 2 from the satellite image information database of this information processing apparatus.
A case of deleting (402) will be described.

When deleting the image 2 (402), the deletion processing operator needs to delete all the records associated with the image 2 in the records in the prefectural office location database. That is, the prefecture office location database is searched, and the record (410, 413) having the image 2 as the image number is deleted.

As described above, when deleting an image,
It is necessary to investigate whether all place names registered in the prefectural office location database are related to the deleted image. Therefore, there is a problem that the processing time in the deletion processing increases. This problem becomes remarkable as the stored data increases.

As another related prior art document, Japanese Patent Laid-Open No. Hei 2
-2463 and JP-A-2-85963 are mentioned.

[0024]

SUMMARY OF THE INVENTION The above-mentioned conventional technique is used in a database in which image information of different image pickup dates or different sensors of the same point such as satellite images are accumulated.
Search processing speed is not considered. In addition, no consideration is given to the burden on the worker in registering new image information or new document information and the work reliability associated therewith. Moreover, the burden on the worker in updating the document information is not considered. Further, the processing speed in the image deletion processing is not considered. These problems become remarkable as the amount of data registered in the information processing device increases.

An object of the present invention is to improve the search speed, to reduce the burden on the operator in the registration / update / deletion process, and to improve the reliability in the registration process.

[0026]

In order to achieve the above object, in the present invention, in an information processing apparatus having a plurality of databases having different contents including images, the information processing apparatus does not necessarily depend on the contents of each database. The information in each database is tied together using a common single content information.

Further, each information in each database is given its own management information, and predetermined management processing is performed by using this management information, whereby an arbitrary small part of each information in each database and the information. The information conversion means is provided so that the arbitrary information having a single content common to the processing devices can mutually specify.

[0028]

By the above means, a plurality of databases having different contents can be centrally managed by using information of a single content common to the information processing apparatus without necessarily depending on the contents of each database, so that the database management information capacity is reduced. Register and
The processing speed of update / search / delete is improved.

Further, by using the unique management information possessed by each information in each database, any small portion of each information in each database and any information having a single content common to the information processing apparatus are mutually specified. Therefore, the worker does not need to instruct the information processing apparatus in advance for all the relationships between the information in each database at the time of registration / update processing, and the burden on the worker is improved.

[0030]

EXAMPLE An example of the present invention will be described below. FIG. 1 shows an example of the configuration of a system for carrying out the present invention, which mainly includes a computer 10, a display means 11 for displaying an image or a character, an input means 12 for inputting a screen instruction or data, and an image. The database storage means 13 stores data composed of a plurality of media. Here, the database storage means 13 has a plurality of databases including image and character numerical value information such as the document information database 18 and the image information database 19. Further, the computer 10 uses the information from the input unit 12 to register the data in the database storage unit 13, a registration control unit 21 that controls the update, an update control unit 22 that controls the update, a deletion control unit 23 that controls the deletion, and the input unit 12. Based on the information, the search means 15 for controlling the search process for the database storage means 13 is further provided. The search means 15 further includes a key conversion means 16 for relating the data management information of each database and a database storage means. A display buffer 17 for temporarily storing data passed from the display unit 13 to the display unit 11.
Have and. Further, when inputting instructions for search / registration / update / deletion or outputting the results to a process, the process interface 24 is used instead of the display means 11 or the input means 12.

An operation example of search / registration / update / deletion processing will be described below using this embodiment.

As an example of retrieval, an operation for retrieving image information from document information in a document database will be described.

The operator inputs a search instruction of the document information to the search means 15 through the input means 12. The search means 15 searches the document information database 18 based on the search instruction,
The position information, which is document information and common information, is extracted. Then, the document information is temporarily stored in the display buffer 17, and the position information which is the common information is sent to the key conversion means 16. The search means 15 sends the positional information, which is common information, to the image information database 19 based on the search instruction. The image information database 19 searches the image information based on the position information which is common information and the attribute information of the image information, sends the image information which is the search result to the display buffer 17, and sends the image attribute information to the key conversion means 16. .. The search unit 15 uses the key conversion unit 16 to convert the position information that is the common information into the position information that is the image management information, and sends the conversion result to the display buffer 17. The search means 15 sends the search result information stored in the display buffer 17 to the display means 11. The display means 11 is based on the position information which is the image management information,
The document information and the image information are linked and displayed, and presented to the operator as a search result.

As another example of the search, an operation for searching the document information from the image information displayed on the display means 11 will be described.

It is assumed that the image information is previously displayed by the display means 11. While viewing the displayed image information, the operator uses the input means 12 to instruct and input the positional information, which is image management information, and sends it to the search means 15. The search unit 15 uses the key conversion unit 16 to convert the position information that is the image management information into the position information that is the common information. The search means 15 sends the positional information, which is common information, to the document database 18 in the database storage means 13. The document information database 18 searches for document information based on position information which is common information, sends the result to the display buffer 17, and temporarily stores the result. The search unit 15 causes the display unit 11 to display the information as the search result stored in the display buffer 17, and presents it to the operator as the search result.

As described above, the database management information is reduced and the search speed is improved by connecting the databases by using the single position information common to the plurality of databases including images.

An operation of registering image information will be described as an example of registration.

The operator inputs image registration instructions and image information from the input means 12, and these instructions and information are sent to the registration control section 21. Further, the operator inputs the position information which is the common information from the input means 12 in order to create the image attribute information which is the relationship between the position information which is the image management information and the position information which is the common information. Is sent to the registration controller 21. The registration control unit 21 is based on the input image registration instruction, the image information, and the positional information that is common information.
Image attribute information is created, and this information is sent to the image information database 19 and registered.

As described above, by connecting the databases using the position information independent of the contents of the plurality of databases including the images, one database to be processed in the registration process is specified. The burden on the operator is reduced, and the error processing is reduced and the reliability is improved.

As an example of updating, an operation of updating document information will be described.

The operator inputs a document update instruction and update information through the input means 12, and these are sent to the update control unit 22. The update control unit 22 sends the document update instruction and the update information to the document information database 18 based on the document update instruction. The document information database 18 updates the document information based on the document update instruction and the update information.

As described above, by connecting the databases by using the position information independent of the contents of the plurality of databases including the images, one database to be processed in the update processing is specified. Person's burden is improved.

An operation of deleting image information will be described as an example of deletion.

The operator inputs an image deletion instruction by the input means 12, and this instruction is sent to the deletion control section 23. The deletion control unit 23 sends an image deletion instruction to the image information database 19 based on the image deletion instruction. The image information database 19 deletes the image information based on the image deletion instruction.

In this way, by linking the databases by using the position information independent of the contents of the plurality of databases including the images, one database to be processed in the deletion processing is specified. Person's burden is improved.

Next, a specific example of the search / registration / update / deletion process flow will be described in detail with reference to FIGS.

2 to 4 show examples of the retrieval process.
Based on the "place name" instructed by the operator, the satellite image is used with an example consisting of a document information database that stores place names and their attribute information, an image information database that stores satellite images, and a map information database that stores maps. The processing flow which displays the position and attribute information of the "place name" on the top and a map is shown. The processing is performed as follows.

The operator uses the input means to input the "place name" to be displayed (101). Assuming a search in which the place name is known but the place is unknown, for example, enter Tokyo as the place name. The document information database is searched using the entered "place name" as a key (102). Position information, which is common information, such as latitude and longitude, is extracted from the attribute information of "place name" retrieved from the document information database (103). In other words, this means extracting the latitude and longitude of Tokyo.

Next, regarding the image information database,
The processing from (105) to (113) is performed on all images (104). First, one image information is retrieved from the image information database (105). The latitude and longitude of the four corners of the image are extracted from the attribute information of the image information (106). It is checked whether the latitude / longitude of the “place name” designated by the operator is included in the rectangle formed by the latitude / longitude of the four corners of the image extracted in 105 (107). In other words, search for satellite images of Tokyo.

If it is included, the processes from 109 to 113 are performed (108). First, the conversion formula from the latitude / longitude to the line pixel value is extracted from the attribute information of the image information (1
09). Using the obtained conversion formula, the latitude and longitude of the "place name" designated by the operator are converted into line pixel values (11
0). The image is displayed (111). An arrow symbol or the like is displayed at the line pixel position corresponding to the "place name" on the image obtained at 110, and the position is shown to the operator (112). That is, it means indicating the position of Tokyo on the satellite image, and the position can be visually displayed to the operator.
In addition, the attribute information of "place name" is also displayed (11
3). In this way, it is possible to uniformly process information of different media.

Subsequently, the map can be similarly searched. That is, regarding the map information database, (11
The processing from 5) to (123) is performed on all images (11
4). First, one image information is retrieved from the map information database (115). The latitude and longitude of the four corners of the map are extracted from the attribute information of the map information (116). The latitude / longitude of the “place name” designated by the operator is 4 on the map extracted in 115.
It is checked whether or not it is included in the rectangle formed by the latitude and longitude of the corner (117).

If it is included, the processes from 119 to 123 are performed (118). First, the conversion formula from the latitude and longitude to the map coordinate value is extracted from the attribute information of the map information (11
9). Using the obtained conversion formula, the latitude and longitude of the "place name" designated by the operator are converted into map coordinate values (120). The map is displayed (121). A symbol is displayed at the map coordinate position corresponding to the "place name" on the map obtained at 120 (12
2). The attribute information of "place name" is displayed (123).

By such processing, a plurality of databases including images can be searched for by position information which is common and single information such as latitude and longitude. Therefore, for example, if there are L document information pieces, M image information pieces, and N map information pieces, the management information pieces are L + M + N pieces. In the related art, L × M × N pieces of management information are required. In this way, management information can be reduced and search speed can be improved.

Referring to FIG. 5, as another example of the retrieval process, a process flow for retrieving the document information corresponding to the instructed position by instructing the image position of the image information displayed on the display unit by the input unit will be described. To do. It is assumed that the image to be designated is previously selected from the image information database.

First, the image is displayed by the display means (1
21). The operator designates an arbitrary position on the displayed image with an input means such as a mouse or a trackball, and takes out a line pixel coordinate value of the designated position (12).
2). Assuming a search where the place name is unknown on the satellite image, for example, click a position near Tokyo with the mouse.
From the image information database, the conversion formula from the line pixel value, which is the attribute information of the displayed image, to the latitude and longitude is retrieved (123). The line pixel value at the designated position is converted into latitude and longitude using a conversion formula (124). The processes 126 to 128 are performed on all documents for the document information database (125). That is, one piece of document information is retrieved from the document information database (126). The latitude and longitude are extracted from the attribute information of the extracted document information (127). Document information having the latitude and longitude closest to the latitude and longitude obtained from the image as attribute information is searched (128). The document information as the search result is displayed by the display means (129). That is, it can be understood that the place name of the place designated by the operator on the satellite image is Tokyo.

Similar to the retrieval examples of FIGS. 2 to 4, by such processing, a plurality of databases including images can be retrieved by the position information which is common and single information such as latitude and longitude, and the management information. Can be reduced and the search speed can be improved. Further, the conversion formula from the latitude / longitude of the satellite image used here to the line pixel value and the conversion formula from the line pixel value to the latitude / longitude are, for example, interpolated from the latitude / longitude and the line pixel value at the four corners of the image, It can be obtained as an approximate expression, and can be calculated in the same manner as other images and maps to obtain a conversion expression.

A process flow for registering document information will be described as an example of the registration process with reference to FIG. The operator
First, the document information to be registered is input to the computer using input means such as a keyboard (141). Further, latitude / longitude, which is common information associated with the document, is input to the computer by the input means (142). The registration control unit of the computer registers the latitude and longitude as attribute information of the document information in the document information database together with the document information (143).

A process flow for registering image information will be described as another example of the registration process with reference to FIG. First, the image information to be registered is input to the computer using input means such as an image scanner (151). Further, latitude / longitude, which is common information associated with the input image information, is input to the computer by the input means (152). The registration controller
Based on the input image information and the associated latitude and longitude, a conversion formula from the latitude and longitude to the line pixel value and a conversion formula from the line pixel value to the latitude and longitude are obtained (15
3). The registration control unit uses the above two conversion expressions as attribute information,
Register in the image information database together with the image information (15
4).

As shown in the processing flow examples of FIGS. 6 and 7,
By using position information that is independent of the contents of each database, such as latitude and longitude, the information to be referred in the registration process is only the specific database to be registered, reducing the man-hours for registration work, Burden is reduced.

A processing flow for updating the document information will be described as an example of the update processing with reference to FIG. First, the operator uses the input means such as a keyboard to instruct the computer of the document information to be updated (161). Further, the update content is input using an input means such as a keyboard (162). The update control unit searches the document information database based on the input instruction and specifies the document information to be updated (163). The update control unit updates the document information specified in the above process (163) based on the input update content (164).

In this way, by using the position information independent of the contents of each database such as latitude and longitude, the information to be referred in the update processing is only the specific database to be updated, and therefore the update work The number of man-hours is reduced and the burden on workers is reduced.

A processing flow for deleting document information will be described with reference to FIG. 9 as an example of the deletion processing. First, the operator uses the input unit such as a keyboard to instruct the document information to be deleted (171). The deletion control unit deletes the instructed document information and its attribute information from the document information database (172).

As shown in FIG. 10, as another example of the deletion process,
A processing flow for deleting image information will be described. First, the image information to be deleted is designated using an input means such as a mouse, a trackball, a keyboard (18).
1). The deletion control unit deletes the instructed image information and its attribute information from the image information database (182).

As shown in the processing flow examples of FIGS. 9 and 10, by using the position information independent of the contents of each database, such as latitude and longitude, the information to be referred to in the deletion processing specifies the deletion target. Since only the database is used, the number of man-hours for deletion work is reduced and the burden on the worker is reduced.

Next, a configuration example of the database in the document information database, the image information database and the map information database will be described.

FIG. 11 shows an example of the structure of the document information database.

This example is an example of a place name database. The place name database consists of place names and their attribute information. For example,
The place name (301), its attribute information (population (302), area (303), and common information such as latitude and longitude (304)).

FIG. 12 shows an example of the structure of image information. This example is an example of a satellite image database. The satellite image database consists of satellite images and their attribute information. For example, the satellite image (320) and the satellite image name (3
21), conversion formula 1 (conversion formula from latitude / longitude to line pixel) (322), conversion formula 2 (conversion formula from line pixel to latitude / longitude) (323), latitude / longitude of four corners of satellite image (324 to 327) and the like.

FIG. 13 shows an example of the structure of the map information database. This example is an example of a road map database. The map information database of this example includes a road map and its attribute information. For example, a road map (340), a map name (341) that is its attribute information, and latitude and longitude (324 to
327) and the like.

As described above, by adopting the configurations of FIGS. 11 to 13, the contents of a plurality of databases including images, such as latitude and longitude, are independent of each other, and a plurality of databases with common single position information are used. Can be tied together. Therefore, management information can be reduced and the search speed can be improved. Moreover, since registration / update / deletion can be performed for each database, the burden on the registration / update / deletion operator is reduced, and erroneous processing is reduced, so that reliability can be improved.

FIG. 14 shows an embodiment of the above-mentioned key conversion means. In FIG. 14, reference numeral 501 represents an expression of the image stored in the image database by latitude and longitude coordinates, 505 represents an expression of the image by line pixel coordinates, and 502.
Represents the latitude / longitude of one pixel selected by the operator on the image, 503 represents a conversion formula for mutually converting the latitude / longitude coordinates defined for the image and the line / pixel coordinates, and 504 represents The result of converting the latitude / longitude information of 502 by the conversion formula of 503 is shown.

In this embodiment, a polynomial is used as the key conversion means. Here, the setting method of the key conversion means will be described by taking a first-order polynomial as an example.

First, the polynomial is set as follows.

[0074]

[Equation 1]

[0075]

[Equation 2]

[0076]

[Equation 3]

[0077]

[Equation 4]

Here, a ₀ , a ₁ , a ₂ , b ₀ , b ₁ , b ₂ ,
c ₀ , c ₁ , c ₂ , d ₀ , d ₁ and d ₂ are polynomial coefficients.
(Formula 1) is a formula for calculating latitude from lines and pixels, (Formula 2) is a formula for calculating longitude from lines and pixels, and (Formula 3) is a formula for calculating lines from latitude and longitude. , (Formula 4) is a formula for calculating pixels from latitude and longitude.

When a first-order polynomial is used, three or more points on the image are selected in order to determine the above polynomial coefficient, the latitude / longitude and line / pixel of the point are checked, and the result is (latitude, longitude). ) = (Φ _i , Λ _i ) (line, pixel) = (L _i , P _i ) i = 1 to N (N is the number of selected points). The polynomial coefficients of (Equation 1) to (Equation 4) use the least squares method,

[0080]

[Equation 5]

[0081]

[Equation 6]

[0082]

[Equation 7]

[0083]

[Equation 8]

In ε ₁ , ε ₁ , ε ₂ , ε ₃ , and ε ₄ are set to be minimum. By storing the coefficient determined here in the image database together with the individual image information, it is possible to mutually specify arbitrary position information and arbitrary pixels on the image.

FIG. 15 shows an embodiment of superimposing display of image information and character / numerical value information. Reference numeral 601 represents a satellite image selected from the image database 618, 602 represents an image display device, 603 represents a relational database storing region names, airfield names, and airfield positions, and 604.
Represents a relational database that stores the name of the airport, the number of passengers, and the position of the airport, and 605 represents a display device that displays the search results of the relational databases 603 and 604.

In this embodiment, first, an arbitrary area of the satellite image selected from the image database is displayed on the image display device (610). At the same time, the latitude / longitude conversion coefficient determined in the embodiment of FIG. 14 is extracted from the image database for the satellite image (611). In addition, line pixels in the image area being displayed are extracted (612). The latitude / longitude conversion coefficient of (611) is used to convert the line pixel of (612) into latitude / longitude (613). The airfield name, the number of passengers, and the position of the airfield included in the latitude / longitude at the four corners obtained in (613) are searched from the character information database and the numerical information database (614). The search result of (614) is displayed on the display device (60
5) is displayed (617). Search results at the same time (614)
The position information of (6) is converted into line pixels using the latitude / longitude conversion coefficient of (611) (615). Conversion result (615)
Is graphically displayed on the image display device 602 (616). By the above processing, it is possible to associate the image information with the character / numerical value information based on the position information and display them in a superimposed manner on one image display device.

[0087]

According to the present invention, since independent position information can be used for a plurality of databases having different contents including images, the contents of each database can be searched. It is possible to search for combinations. Therefore, since there is no need to associate new data in the search, there is an effect of improving the search efficiency. In addition, since it is not necessary to consider the relationship with data of other contents when registering / deleting / updating new data, the number of man-hours for registration / deletion / update work is small, and the burden on the operator is reduced.

Further, according to the present invention, since the contents of each database can be searched by using the single position information common to the above database system, the relation between the data of each contents can be established at the time of registration / deletion / update work. Since there is no need to register, delete, or update, there is no error in association, and there is an effect that the number of man-hours for registration, deletion, and update work is reduced. Further, since the management information capacity of the database is reduced, the search efficiency is improved.

[Brief description of drawings]

FIG. 1 is a system configuration diagram showing an embodiment of the present invention.

FIG. 2 is a flowchart (part 1) of a search process showing an embodiment of the present invention.

FIG. 3 is a flowchart of a search process according to the embodiment of the present invention (No. 2).

FIG. 4 is a flowchart of search processing showing the embodiment of the present invention (No. 3).

FIG. 5 is a flowchart of document information search processing according to the embodiment of the present invention.

FIG. 6 is a document information registration processing flowchart showing an embodiment of the present invention.

FIG. 7 is a flowchart of image information registration processing showing an embodiment of the present invention.

FIG. 8 is a document information update processing flowchart showing an embodiment of the present invention.

FIG. 9 is a flowchart of document information deletion processing according to the embodiment of this invention.

FIG. 10 is a flowchart of image information deletion processing according to the embodiment of the present invention.

FIG. 11 is a configuration example of a document information database used in the embodiment of the present invention.

FIG. 12 is an example of the image information structure used in the embodiment of the present invention.

FIG. 13 is a configuration example of a map information database used in the embodiment of the present invention.

FIG. 14 is a diagram for explaining a key conversion unit used in the embodiment of the present invention.

FIG. 15 is a diagram for explaining another embodiment of the present invention.

FIG. 16 is a diagram for explaining a conventional example of the present invention.

[Explanation of symbols]

10 ... Calculator, 11 ... Display Means, 12 ... Input Means, 13
... database storage means, 15 ... search means.

Claims (4)

[Claims] 1. A map information database for storing map information together with corresponding longitude / latitude information, an attribute information database for storing attribute information related to a map together with corresponding longitude / latitude information, and the map information database and attribute information database A search means for inputting information stored in one of the databases and searching the information stored in the other database by using the longitude / latitude information corresponding to the input information as a key. Information processing device. 2. A plurality of significant first information portions that are input in advance and displayed as an image and a plurality of significant first information portions that are individually given to the respective first information portions and have different contents from the first information. And a first database storing a first information group having a second information portion having a common content as itself, and a plurality of significant third information portions different from the first information portion. And a fourth information part that is individually given to the third information part and has a different content from the third information part and has a common content as itself. The second database stored and the first information part are input as a key, and the predetermined arithmetic processing is performed using the second information part and / or the fourth information part to obtain the above-mentioned first information part. The third information part of the database of 2 The information processing apparatus characterized in that it has a constant searching means, at least. 3. A singular or plural arbitrary sub-part is selected from the first information part in claim 2 displayed as an image, and both the second information part and the fourth information part in claim 2 or The third information part in claim 2 specified by performing a predetermined arithmetic process using one of
An information processing method, comprising: displaying the image on the first information portion. 4. A single or plural arbitrary sub-parts are selected from the third information part in claim 2, and both or one of the second information part and the fourth information part in claim 2 are used in advance. An information processing method, comprising: displaying the first information portion in claim 2 specified by performing a predetermined arithmetic process as an image, and displaying the selected third information portion in an overlapping manner.