JP2007142672A - Image classification apparatus and method, and digital camera - Google Patents

Abstract

A classification destination is changed after classifying photographed image data.
An image classification device includes a CPU, a ROM, a RAM, an LCD, and an input operation unit. The ROM 4 stores image data storing map data, shooting position data, and LM name data. The CPU 3 classifies the image data for each LM name data, and displays the classification result on the image search screen displayed on the LCD 6. In the category selection section, the names of the LM name data are displayed in a tree structure as a folder name. A list of images of the classified image data is displayed in the image list section. The selected thumbnail image is enlarged and displayed on the image display unit. The LM name of the image data is displayed on the LM name display section. In the LM name selection part, the names of the landmarks in the vicinity are displayed in a list. The CPU 3 stores the LM name data of the selected landmark in the image data displayed on the image display unit, and then overwrites and stores the image data in the ROM 4.
[Selection] Figure 1

Description

  The present invention relates to an image classification apparatus and method, and a digital camera.

  In recent years, digital cameras that can capture a captured image without printing the captured image by storing the captured image as image data and displaying the stored image data on an LCD or the like have become widespread. Printed print photos can be efficiently classified and searched by organizing them into albums or the like. On the other hand, image data taken with a digital camera has the merit that it does not deteriorate as compared with a printed photograph, but there is a problem that it takes time and effort to classify and search.

  In recent years, a digital camera (for example, a camera-equipped mobile phone having a GPS function) that uses a GPS (Global Positioning System) positioning system to add and store position data of a shooting point to image data can be stored. A technology has been proposed that identifies landmark names such as place names and building names from the location data given to image data captured by digital cameras, and classifies the image data for each landmark. (For example, see Patent Document 1 and Patent Document 2).

  In the album creating apparatus and method of Patent Document 1, a range of locations where image data is captured is extracted from a plurality of accumulated image data, and an album is created that classifies image data according to the range of locations where the image data was captured. I will do it.

In addition, in the image classification method, image classification system, program, and image file data structure of Patent Document 2, GPS data is added to the image file, a folder is created for each GPS data, and the image file is added to the image file. The image files are classified by GPS data by storing them in folders corresponding to the GPS data.
Japanese Patent Laying-Open No. 2005-107867 JP 2003-271617 A

  However, in Patent Document 1 and Patent Document 2, there is an error in the shooting position data (latitude / longitude) acquired with a low GPS function, the wrong place name or facility was selected when selecting the shooting position, and the image data was incorrect. When classified as a facility, there is a problem that the classification destination cannot be changed.

  The present invention has been made to solve the above-described problems, and an object thereof is to provide an image classification apparatus and method, and a digital camera that can change a classification destination after classifying captured image data.

  In order to achieve the above object, an image classification apparatus of the present invention includes image data storage means for storing captured image data having position data of a shooting position; and based on the shooting position data, the position and name data of a facility are stored. Facility search means for searching for facility data of the facility where the shooting position is located from map data having facility data including; image data classification for classifying the captured image data by facility based on a search result in the facility search means An image classifying apparatus comprising: a changing unit that changes the shooting position data included in the shot image data and changes a classification destination of the shot image data. Examples of the map data include map data such as a world map, a Japan map, a Kanto region map, and a Kansai region map. Examples of the facility include an amusement park, a station, and a school.

  A facility name list display means for displaying a list of each facility name to be classified by the image data classification means; and a selection is made when any of the facility names displayed by the facility name list display means is selected. And an image list display means for displaying a list of the photographed image data classified by the facility name.

  In addition, when any one of the captured image data displayed by the image list display unit is selected, an enlarged display unit that displays the selected captured image data in an enlarged manner; and the captured image displayed on the enlarged display unit A facility name display unit that displays a name of a facility to which image data is classified; a facility name display unit that displays a list of facility names adjacent to the facility displayed on the selected facility name display unit; When any one of the facility names displayed on the facility name display unit is selected, the changing unit uses the shooting position data of the captured image data displayed on the enlarged display unit as the position of the selected facility. It is preferable to change to data. The proximity facility name display means preferably displays a list of facility names close to the facilities displayed on the selected facility name display means in order, such as close order or high priority order.

  Furthermore, an input means for inputting a facility name is provided, and the image list display means displays a list of the photographed image data classified into the input facility name in response to the input of the facility name by the input means. Is preferred.

  Further, it is preferable that the facility name list display means list each facility name so as to have a tree structure based on the inclusion relationship when other facilities are located in the facility.

  Furthermore, it is preferable to include a map data storage unit that stores the map data, or a communication unit that can communicate with an external data server that stores the map data.

  Further, the image classification method of the present invention stores photographed image data having position data of a photographing position, and retrieves facility data of the facility where the photographing position is located from map data having facility data including the position and name of the facility. An image classification method for classifying the photographed image data by facility based on a search result, wherein the photographing position data included in the photographed image data is changed, and a classification destination of the photographed image data is changed. Features.

  Furthermore, a digital camera according to the present invention includes the above-described image classification device. Preferably, the map data is stored in a recording medium that can be attached to and detached from the camera body, or a communication means that can communicate with an external data server that stores the map data.

  According to the image classification apparatus of the present invention, image data storage means for storing captured image data having position data of a shooting position; map data having facility data including the position and name data of the facility based on the shooting position data A facility retrieval means for retrieving facility data of a facility where the photographing position is located; image data classification means for classifying photographed image data by facility based on a search result in the facility retrieval means; and a photographing position possessed by the photographed image data Changing means for changing the data and changing the classification destination of the photographed image data, so that the photographed image data can be classified for each facility at the photographing position. Can be changed.

  In addition, a facility name list display unit that displays a list of each facility name classified by the image data classification unit; and one of the facility names displayed by the facility name list display unit is selected. Image list display means for displaying a list of photographed image data classified by the facility name; thus, the photographed image data can be easily displayed by classification.

  Further, when any one of the photographed image data displayed by the image list display means is selected, an enlarged display means for enlarging and displaying the selected photographed image data; and the photographed image data displayed on the enlarged display means A selected facility name display means for displaying a facility name of a classification destination; and a nearby facility name display means for displaying a list of facility names adjacent to the facility displayed on the selected facility name display means. When selecting one of the displayed facility names, the changing unit changes the shooting position data of the shot image data displayed on the enlarged display unit to the position data of the selected facility. By simply selecting the facility name displayed on the name display means, the classification destination of the captured image data can be easily changed.

  Further, according to the image classification method of the present invention, the captured image data including the position data of the shooting position is stored, and the facility data of the facility where the shooting position is located from the map data including the facility data including the position and name of the facility Is a method for classifying photographed image data by facility based on the search result, and changes the photographing position data of the photographed image data and changes the classification destination of the photographed image data. Data can be classified for each facility at the photographing position, and further, the classification destination of the photographed image data can be changed.

  Furthermore, according to the digital camera of the present invention, since the above-described image classification device is provided, the photographed image data can be classified by the digital camera alone, and further, the classification destination of the photographed image data can be changed.

  As shown in FIG. 1, an image classification apparatus 2 embodying the present invention includes a CPU (image data classification means) 3, a ROM (map data storage means) 4, a RAM (image data storage means) 5, an LCD 6, an input operation unit. (Input means) 7 is composed of a personal computer equipped with the input means. The input operation unit 7 is used to input data to the CPU 3 and includes a keyboard and a mouse.

  The ROM 4 stores rough Japanese map data, which will be described in detail later, and image data that is captured by the digital camera 11 and stores landmark name data (hereinafter referred to as LM name data) of the captured position. Yes. The image data is input from the memory card 15 as will be described in detail later.

  The digital camera 11 includes a known photographing unit 12 including a shutter button and a photographing lens, a GPS unit 13 that measures the current position and acquires the position data, and a control unit 14, and stores photographed image data. A memory card 15 to be attached is detachably set. The GPS unit 13 includes an antenna 16 and a GPS calculation unit 17. The antenna 16 receives radio waves from GPS satellites orbiting the earth. The received radio wave is sent to the GPS calculation unit 17. The GPS calculation unit 17 stores a calculation program for calculating position data (latitude / longitude) of the current position based on the input radio wave.

  When shooting is performed by operating the shooting unit 12, a program activation signal is output from the control unit 14 to the GPS calculation unit 17, and the GPS calculation unit 17 activates the calculation program and is based on radio waves input from the antenna 16. The position data (latitude / longitude) of the current position is calculated, and the calculated position data is sent to the control unit 14. The control unit 14 stores the position data input from the GPS calculation unit 17 in the captured image data, and then stores the image data in the memory card 15.

  In order to store the image data stored in the memory card 15 in the ROM 4, the memory card 15 is removed from the digital camera 11 and the memory card 15 is inserted into the memory card insertion slot of the image classification device 2. When the memory card 15 is inserted into the memory card insertion slot, the CPU 3 reads the image data in the memory card 15 and stores the read image data in the RAM 5. Then, as will be described in detail later, the CPU 3 searches for the landmark (facility) related to the position data based on the position data stored in the image data, and stores the LM name data of the searched landmark in the image data. Thereafter, the image data is stored in the ROM 4.

  The ROM 4 stores an image search program for performing an image search, and in response to the input operation unit 7 inputting a keyword (for example, “image search start”) for performing an image search. The CPU 3 starts an image search program. When the image search program is activated, an image search screen 20 as shown in FIG. Then, the CPU 3 classifies the image data for each LM name data, and displays the classification result on the image search screen 20.

  The image search screen 20 is provided with an image search unit 21, a classification selection unit 22, and an image list unit 23. The image search unit 21 includes a word input unit 21a for inputting a word to be searched and a search start button 21b for starting a search for data (image data) related to the word input to the word input unit 21a. Is provided.

  In the category selection unit 22, the names of the LM name data stored in the image data are displayed as a list in a tree structure as folder names. In the image list unit 23, images of image data searched by the image search unit 21 or images of image data classified in the folder selected by the classification selection unit 22 are displayed as a list of thumbnail images. In the present embodiment, the ROM 4 classifies image data classified into landmarks such as α city, α station, α amusement park, β ferris wheel, γ roller coaster, and θ city, and the landmark cannot be specified. An embodiment in which image data that has been disabled is stored will be described. Further, in the present embodiment, the LCD 6 displays a list of facility name lists that display a list of folder names (facility names) of classification destinations, and an image list that displays a list of image data classified into the selected folder (facility names). It also functions as a display means.

  The classification selection unit 22 has a tree structure including a folder titled with each of the landmark names of α city, α station, α amusement park, β ferris wheel, γ roller coaster, and θ city, and a folder titled “Unclassifiable”. Is displayed. α station and α amusement park are landmarks located in α city, and α station folder and α amusement park folder are provided in α city folder. The β ferris wheel and the γ roller coaster are landmarks located in the α amusement park, and the β ferris wheel folder and the γ roller coaster folder are provided in the α amusement park folder. That is, the α city folder, the θ city folder, and the non-classifiable folder are equivalent folders in the tree structure, the α station folder and the α amusement park folder are child folders of the α city folder, the β Ferris wheel folder, and the γ jet. The coaster folder is a child folder of the α amusement park folder and a grandchild folder of the α city folder. In the present embodiment, the above-mentioned folder with a child-grandchild relationship or a landmark entitled an equivalent folder is referred to as an adjacent landmark (for example, a landmark close to a β Ferris wheel is an α city, α Station, α amusement park, γ roller coaster).

  When the α city folder is opened by operating the input operation unit 7, the α station folder, α amusement park folder, β ferris wheel folder, and γ roller coaster folder are displayed on the classification selection unit 22, and the α city folder, α Images of the image data classified into the station folder, α amusement park folder, β ferris wheel folder, and γ roller coaster folder are displayed as thumbnail images in the image list section 23 as a list. Further, when the input operation unit 7 is operated to select, for example, a β ferris wheel folder, images of image data classified as β ferris wheels are displayed as thumbnail images in the image list unit 23 as a list.

  Image data that cannot be classified because the landmark cannot be specified (for example, image data taken overseas) is classified as a folder that cannot be classified.

  The image search unit 21 is for searching image data in the ROM 4, and inputs a word (for example, a β ferris wheel) to the word input unit 21a and operates the input operation unit 7 to set a search start button 21b. When operated, the CPU 3 retrieves image data related to the β ferris wheel from the image data in the ROM 4, and displays a list of images of the retrieved image data as thumbnail images on the image list unit 23.

  When the input operation unit 7 is operated to select one of the thumbnail images displayed in the image list unit 23 (for example, the image of the β Ferris wheel folder), the LCD 6 displays an image display screen 30 as shown in FIG. Is displayed. The image display screen 30 includes an image display unit 31 and a landmark name changing unit (hereinafter referred to as LM name changing unit) 32. The selected thumbnail image is enlarged and displayed on the image display unit 31. The image display unit 31 may be provided with a size change button for changing the size of the image to be displayed.

  The LM name change unit 32 includes a landmark name display unit (hereinafter referred to as LM name display unit) 32a, a landmark name selection unit (hereinafter referred to as LM name selection unit) 32b, and an LM name change button 32c. ing. The name of the LM name data (β ferris wheel) stored in the image data displayed on the image display unit 31 is displayed on the LM name display unit 32a. In the LM name selection unit 32b, the names of landmarks close to the landmark (β ferris wheel) displayed on the LM name display unit 32a are displayed in a list in order of the shooting position (for example, on the LM name display unit 32a). When “β Ferris wheel” is displayed, “γ roller coaster”, “α amusement park”, “α station”, and “α city” are displayed in this order). In the present embodiment, the LCD 6 is an enlarged display unit that enlarges and displays selected image data, a selected facility name display unit that displays a folder name (facility name) of a classification destination of the enlarged image data, and a displayed land. It also functions as a proximity facility name display means for displaying a list of landmark names (facility names) adjacent to the mark (facility).

  When shooting with the digital camera 11, a program activation signal is output from the control unit 14 to the GPS calculation unit 17, and the GPS calculation unit 17 activates the calculation program and based on the radio wave input from the antenna 16, the current position The position data is calculated, and the calculated position data is sent to the control unit 14. Since the calculation of the shooting position by the radio wave from the GPS satellite is not highly accurate, the position data calculated by the GPS calculation unit 17 may be different from the actual shooting position (for example, when shooting a γ roller coaster) The calculated position data is β ferris wheel position data). In this case, β ferris wheel data is stored as LM name data in the image data. When an image of this image data is displayed on the image display unit 31, the image and the landmark name displayed on the LM name display unit 32a are different (the image is a γ roller coaster, and the landmark name is β Ferris wheel). In this case, it is necessary to change the landmark name to the correct one (γ roller coaster).

  When the input operation unit 7 is operated to select any one of the landmark names (γ roller coaster) displayed on the LM name selection unit 32b, the selected landmark name (γ roller coaster) is displayed on the LM name display unit 32a. Is displayed. When the LM name change button 32 c is operated by operating the input operation unit 7, the CPU 3 stores the LM name data of the γ roller coaster in the image data displayed on the image display unit 31, and then stores the image data. Store in ROM4. At this time, the CPU 3 overwrites and stores the new LM name data (γ roller coaster) on the LM name data (β ferris wheel) already stored in the image data. That is, the LM name data stored in the image data is rewritten with new LM name data (γ roller coaster). Thereby, the LM name data can be changed to the correct one corresponding to the image (γ roller coaster). In the present embodiment, the CPU 3 also functions as a changing unit that changes the LM name data (shooting position data) included in the image data and changes the classification destination of the image data.

  The ROM 12 of the image classification device 2 stores approximate map data for Japan. As schematically shown in two dimensions in FIG. 4, this map data includes a range of start point latitude 30 °, start point longitude 128 °, end point latitude 46 °, end point longitude 147 ° in the direction of the latitude line for 40 minutes (2/3). °) Map data of a map divided into a plurality of divided areas at equal intervals at a pitch of 1 ° in the meridian direction.

  The map data includes a divided area data table shown in FIG. 5 and a divided area list table shown in FIG. In the divided area data table, the length of one divided area in the meridian direction (= 2/3 °), the length of one divided area in the parallel direction (= 1 °), the number of divided areas in the parallel direction ( = 24), the number of divided areas in the meridian direction (= 19), the starting point latitude (= 30 °) of the map, and the starting point longitude (= 128 °) of the map are stored.

  In the divided area list table, data of the starting point latitude and starting point longitude of all divided areas is stored. The map data is composed of 456 divided areas from the hatched divided area A (0, 0) in FIG. 4 as the starting point of the map to the divided area A (18, 23) as the end point of the map. The numerical values in parentheses indicate the number of divided areas from the divided area A (0, 0) in the meridian direction, and the numerical values on the right side indicate the divided area A ( This indicates the number of divided areas from (0, 0). For example, the divided area A (10, 15) is the tenth divided area from the divided area A (0, 0) in the meridian direction and the fifteenth divided area from the divided area A (0, 0) in the latitude direction.

  4 to 6, in order to avoid cluttering the drawing, map data is arranged so that one divided area is 40 minutes (2/3 °) in the latitude direction and 1 ° in the meridian direction. Although it is divided at equal intervals, it is actually divided at a finer pitch. For example, one divided area is preferably about 10 km in the parallel direction and about 10 km in the meridian direction. Depending on the size, the number of divided areas in the meridian direction and the number of divided areas in the parallel direction are changed.

  As shown in FIG. 7, the map data includes, for each of a plurality of divided areas, ID numbers and landmarks assigned to major landmarks (eg, amusement parks, stations, schools, etc.) located in the divided areas. A landmark data table (facility data) in which data of each section of the name (LM name), landmark area coordinates (LM area coordinates), extended width, rectangular area coordinates, parent data, and child data is stored is included. ing. In the present embodiment, an embodiment in which an α amusement park is located in the divided area A (11, 8) and a β ferris wheel and a γ roller coaster are located in the α amusement park will be described.

  The extension width section stores an extension width (for example, m units) for extending the LM area coordinates in all directions to form rectangular area coordinates. In this embodiment, the expansion width of the α amusement park is set to 5 m, the expansion width of the β ferris wheel is set to 3 m, and the expansion width of the γ roller coaster is set to 3 m. The length of the extended width can be changed as appropriate.

  The α amusement park has ID number = 100, the β ferris wheel has ID number = 101, and the γ roller coaster has ID number = 102. Since the β Ferris wheel and γ roller coaster are located within the α amusement park, the parent-child relationship (inclusion relationship) of these landmarks is that when the α amusement park is the parent, the β ferris wheel and γ roller coaster are the α amusement park. Become a child of the earth. Therefore, the child data section of α amusement park stores “101, 102” which is the ID number of β Ferris wheel and γ roller coaster, and the parent data section of β Ferris wheel and γ roller coaster contains α amusement park. The ground ID number “100” is stored.

  FIG. 8 is a plan view schematically showing the area data of the α amusement park in two dimensions. The α amusement park is a landmark formed in a pentagon shape, and each coordinate (( The data of αx1, αy1) (αx2, αy2) (αx3, αy3) (αx4, αy4) (αx5, αy5)) is stored in the LM area coordinate section (see FIG. 5) of the landmark data table. An area surrounded by a line passing through these five apexes is an α amusement park LM area. The area expanded from the α amusement park by the extended width (5m) to the four sides becomes the α amusement park expansion area, and is further formed in a rectangular shape with lines passing through the apex in the latitude and meridian directions of the α amusement park expansion area. This area becomes the α amusement park rectangular area. The data of the coordinates ((Rαx1, Rαy1) (Rαx2, Rαy2) (Rαx3, Rαy3) (Rαx4, Rαy4)) of the four vertices of the α amusement park rectangular area are the rectangular area coordinate section (Fig. 7).

  FIG. 9 is a plan view showing the area data of the β ferris wheel provided in the α amusement park. The β ferris wheel is a landmark formed in a quadrangular shape, and the data of the coordinates of the four vertices ((βx1, βy1) (βx2, βy2) (βx3, βy3) (βx4, βy4)) It is stored in the LM area coordinate section (see FIG. 7) of the landmark data table. An area surrounded by a line passing through these four vertices is a β Ferris wheel LM area. The area that is extended from the β Ferris wheel by the extended width (3 m) is the β Ferris wheel extended area, and is further formed in a rectangular shape with lines passing through the apex in the latitude and meridian directions of the β Ferris wheel extended area. This area becomes the β Ferris wheel rectangular area. The data of the coordinates ((Rβx1, Rβy1) (Rβx2, Rβy2) (Rβx3, Rβy3) (Rβx4, Rβy4)) of the four vertices of the β Ferris wheel rectangular area are the rectangular area coordinate section (Fig. 7).

  FIG. 10 is a plan view showing area data of a γ roller coaster provided in an α amusement park. The γ roller coaster is a landmark formed in a hexagonal shape, and each coordinate of six vertices ( The data of (γx1, γy1) (γx2, γy2) (γx3, γy3) (γx4, γy4) (γx5, γy5) (γx6, γy6)) is stored in the LM area coordinate section (see FIG. 7) of the landmark data table. It is remembered. An area surrounded by a line passing through these six vertices is a γ roller coaster LM area. The area extended from the γ roller coaster by the extended width (3 m) in all directions becomes the γ roller coaster expansion area, and is further formed in a rectangular shape with lines passing through the vertices in the latitude and meridian directions of the γ roller coaster expansion area. This area becomes the γ roller coaster rectangular area. The data of the coordinates ((Rγx1, Rγy1) (Rγx2, Rγy2) (Rγx3, Rγy3) (Rγx4, Rγy4) (Rγx5, Rγy5 (Rγx5, Rγy5))) of the four vertexes of the γ roller coaster rectangular area are landmarks. It is stored in the rectangular area coordinate section (see FIG. 5) of the data table.

  As shown in FIG. 1, when the memory card 15 is connected to the CPU 3, the CPU 3 reads the image data in the memory card 15 and stores the read image data in the RAM 5. Then, the CPU 3 searches the ROM 4 based on the position data (for example, input position = P1 (latitude = 35.7 °, longitude = 139.7 °)) stored in the image data, and the CPU 3 stores the data. A divided area including the input position is selected from all divided areas of the map data.

  As a search method for the divided areas, the latitude (= 30 °) of the map is subtracted from the latitude (= 35.7 °) of the input position P1, and the numerical value (= 5.7 °) obtained by subtraction is 1 Divide by the length of the divided area in the direction of the parallel line (= 2/3 °), and round down the decimal point of the numerical value (= 8.55) obtained by the division. The numerical value (= 8) obtained in this way is a numerical value indicating the number of divided areas from the starting point divided area (hatched divided area in FIG. 2) in the latitude direction.

  Also, the starting point longitude (= 128 °) of the map is subtracted from the longitude (= 139.7 °) of the input position P1, and the numerical value (= 11.7 °) obtained by the subtraction is displayed in the meridian direction of the one divided area. Divide by the length (= 1 °) and round off the decimal point of the numerical value (= 11.7) obtained by the division. The numerical value (= 11) thus obtained is a numerical value indicating the number of divided areas from the start point divided area (hatched divided area in FIG. 2) in the meridian direction. When the input position data is the input position P1 (latitude = 35.7 °, longitude = 139.7 °), the eighth from the start point division area in the latitude direction and the eleventh from the start point division area in the meridian direction It becomes a divided area. As described above, since the divided area including the input position is searched by the calculation formula using the input position data (latitude / longitude), the input position data and all the divided areas (456) are compared and input. The time required for the search can be shortened as compared with the search for the divided area including the position.

  When the search for the divided area is completed, the CPU 3 next searches for the landmark. At this time, the CPU 3 searches for the landmark only in the divided area A (11, 8) searched (selected) as described above. In the present embodiment, a case will be described in which the input position P1 (latitude = 35.7 °, longitude = 139.7 °) is a position in a β ferris wheel in an α amusement park.

  The CPU 3 searches for landmarks in the divided area A (11, 8) and selects a rectangular area (one or a plurality) including the input position P1. In the case of the input position P1, an α amusement park rectangular area and a β ferris wheel rectangular area are selected as search results.

  Next, the CPU 3 calculates the distance L (distance Lα, distance Lβ) from the input position P1 to the α amusement park LM area and the β ferris wheel LM area. First, it is determined whether the input position P1 is a position in each LM area by a polygon internal / external determination method which is a known determination method. Here, when it is determined that the input position P1 is a position in the LM area, the above-described distance L = 0 (zero). On the other hand, when it is determined that the input position P1 is not in the LM area, the shortest distance from the input position P1 to each side forming the LM area is the distance L. The input position P1 is a position in the β ferris wheel in the α amusement park, and the distance L to the α amusement park LM area is Lα1 = 0 (zero), and the distance Lβ1 = 0 to the β ferris wheel LM area.

  Then, the CPU 3 determines whether or not there is a landmark where the distance L = 0. When the CPU 3 determines that there is a landmark with the distance L = 0 (α amusement park, β ferris wheel), the parent data is obtained from the landmark with the distance L = 0 (α amusement park, β ferris wheel). The landmark (β ferris wheel) in which the ID number as parent data is stored in the section is specified, and the landmark (α amusement park) of the ID number stored in the parent data section of the specified landmark (β ferris wheel) (Land) is deleted from the selected landmarks (α amusement park, β ferris wheel) and the landmarks are selected. Thereby, the landmark at the input position P1 (latitude = 35.7 °, longitude = 139.7 °) is selected as the β ferris wheel. In the present embodiment, the CPU 3 is a facility search unit that searches the landmark data table (facility data) of the landmark (facility) where the input position (capturing position) is based on the input position data (capturing position data). Also works.

  Next, the CPU 3 stores the LM name data of the finally selected landmark (β ferris wheel) in the image data, and then stores the image data in the ROM 4. Instead of storing the LM name data in the image data, the LM name data and the image data may be associated with each other and stored in the ROM 4.

  Further, as shown in FIG. 8, when the input position data (input position P2) is position data indicating the inside of the extended area outside the α amusement park (it is determined that there is no landmark having a distance L = 0 ( In the case of L> 0), the CPU 3 selects the α amusement park as the search result for the landmark having the rectangular area including the input position P2. Next, a distance L from the input position P2 to the α amusement park LM area stored in the LM area coordinate section is calculated and calculated as a distance Lα2. Then, the CPU 3 determines whether or not the distance L (distance Lα2) and the expansion width stored in the expansion width section of the amusement park in the landmark data table satisfy the relationship of distance L ≦ expansion width. . When the distance L is the distance Lα2, it is determined that the distance L ≦ the expansion width, and the α amusement park is finally selected as a landmark to be selected. Then, the CPU 3 outputs the LM name data of the finally selected landmark (α amusement park) to the LCD 6 and displays the LM name (α amusement park) on the LCD 6 (for example, “ The shooting point is α amusement park ”), and the LM name data of the finally selected landmark (α amusement park) is stored in the image data, and then the image data is stored in the ROM 4.

As shown in FIG. 8, when the input position data (input position P3) is position data indicating the inside of the rectangular area outside the extended area, the CPU 3 has a land having a rectangular area including the input position P3. Α amusement park is selected as the search result of the mark. Next, a distance L from the input position P3 to the LM area of the α amusement park stored in the LM area coordinate section is calculated and calculated as a distance Lα3. Then, the CPU 3 determines whether or not the relationship of distance L ≦ extended width is satisfied. When there are a plurality of landmarks having a rectangular area including the input position P3, the determination is made with respect to the landmark closest to the input position P3 (in this case, α amusement park) among the plurality of landmarks. I do. When distance L = distance Lα3, it is determined that distance L ≦ extended width is not satisfied, and α amusement park is not selected as a landmark to be finally selected. That is, it is determined that the input position P3 (shooting point) is not within the landmark. In this case, the CPU 3 outputs data indicating that “the shooting point is not within the main landmark” to the LCD 6, and the LCD 6 indicates that “the shooting point of this image is not within the main landmark”. After the display, data indicating that “the shooting point of this image is not within the main landmark” is stored in the image data, and then the image data is stored in the ROM 4.

  The operation of the image classification device 2 configured as described above will be described using the flowcharts of FIGS. FIG. 11 is a flowchart for searching for a landmark at a shooting position based on position data stored in image data. When the memory card 15 is connected to the CPU 3, the CPU 3 reads the image data in the memory card 15, and stores the read image data in the RAM 5 (step (hereinafter, S) 1). Next, the CPU 3 searches the ROM 4 based on the position data stored in the image data (for example, input position = P1 (latitude = 35.7 °, longitude = 139.7 °)) to determine the input position P1. A landmark (β ferris wheel) is selected (S2). The CPU 3 stores the LM name data of the selected landmark (β ferris wheel) in the image data, and then stores the image data in the ROM 4 (S3).

  FIG. 12 is a flowchart for classifying and displaying the image data stored in the ROM 4. In response to a keyword (for example, “start image search”) for performing an image search input by the input operation unit 7, the CPU 3 activates an image search program. When the image search program is activated, an image search screen 20 is displayed on the LCD 6. Then, the CPU 3 classifies the image data for each LM name data, and displays the classification result on the image search screen 20. The category selection unit 22 displays a folder with the titles of the landmarks of α city and θ city and a folder with the title of unclassifiable in a tree structure (S1).

  When the α city folder is selected by operating the input operation unit 7 (S2) and opened, the α station folder, α amusement park folder, β ferris wheel folder, and γ roller coaster folder are displayed on the classification selection unit 22. The images of the image data classified into the α city folder, α station folder, α amusement park folder, β ferris wheel folder, and γ roller coaster folder are displayed as thumbnail images in the image list section 23 (S3). Further, when the input operation unit 7 is operated to select, for example, a β ferris wheel folder, images of image data classified as β ferris wheels are displayed as thumbnail images in the image list unit 23 as a list.

  FIG. 13 is a flowchart for inputting the facility name and classifying and displaying the image data stored in the ROM 4. When a word (for example, a β ferris wheel) is input to the word input unit 21a and the search operation button 21b is operated by operating the input operation unit 7 (S1), the CPU 3 displays an image of image data classified as a β ferris wheel. Are displayed as thumbnail images in the image list section 23 (S2).

  FIG. 14 is a flowchart for changing the image classification destination by changing the LM name data stored in the image data. When the input operation unit 7 is operated to select one of the thumbnail images displayed in the image list unit 23 (for example, the image of the β ferris wheel folder) (S1), an image display screen 30 is displayed on the LCD 6. The The selected thumbnail image is enlarged and displayed on the image display unit 31. The LM name display unit 32a displays the landmark name (β ferris wheel) of the landmark data stored in the image data displayed on the image display unit 31 (S2). In the LM name selection unit 32b, the names of landmarks close to the landmark (β ferris wheel) displayed in the LM name display unit 32a are displayed in a list in order from the closest (S3).

  When the input operation unit 7 is operated to select any of the landmark names displayed on the LM name selection unit 32b (S4), the selected landmark name is displayed on the LM name display unit 32a. Here, when the LM name change button 32 c is operated by operating the input operation unit 7, the CPU 3 displays the LM name data of the landmark name displayed on the LM name display unit 32 a as an image displayed on the image display unit 31. After storing the data, the image data is stored in the ROM 4 (S5). Thereby, the LM name data stored in the image data can be changed.

  As described above, after operating the input operation unit 7 to select one of the landmark names displayed on the LM name selection unit 32b and displaying the selected landmark name on the LM name display unit 32a, When the LM name change button 32c is operated by operating the input operation unit 7, the CPU 3 stores the LM name data of the landmark name displayed on the LM name display unit 32a in the image data displayed on the image display unit 31. After that, since the image data is overwritten and stored in the ROM 4, the LM name data stored in the image data can be changed. Thereby, even when the image and the LM name data are different (for example, photographing the γ roller coaster from the inside of the β ferris wheel), the LM name data can be changed to a correct one corresponding to the image (γ roller coaster).

  Further, since the CPU 3 classifies the image data for each LM name data and displays the classification result on the image search screen 20 in a tree structure, the classified landmark name can be easily confirmed.

  Further, when a word is input to the word input unit 21a of the image search unit 21 and the input operation unit 7 is operated to operate the search start button 21b, the CPU 3 searches the image data in the ROM 4 for image data related to the input word. Then, the image of the searched image data is displayed as a list in the image list unit 23 as a thumbnail image, and the classification destination folder of the searched image data and a folder related to this folder are displayed on the classification selection unit 22. Therefore, even when there are a large number of folders, it is possible to quickly search for a desired folder simply by inputting the folder name of the desired folder to the word input unit 21a.

  In the above-described embodiment, the landmarks in the folder having the relationship between the child and the grandchild and the equivalent folder are referred to as the adjacent landmarks (for example, the landmarks in the vicinity of the β Ferris wheel are α city, The setting of landmarks near (α station, α amusement park, γ roller coaster) can be changed as appropriate.

  FIG. 15 shows another embodiment. Constituent members similar to those in the above embodiment are given the same reference numerals, and the detailed description thereof is simplified. In this embodiment, the digital camera 11 includes an LCD 6 and an input operation unit 7, and map data is stored in the memory card 15. The control unit 14 has the same function as the CPU 3 of the above embodiment, searches for a landmark related to the position data, stores the LM name data of the finally selected landmark in the image data, and then stores the image data. Is overwritten on the memory card 15 and stored. Then, the control unit 14 classifies the image data stored in the memory card 15 for each LM name data, and displays the classification result on the image search screen 20 displayed on the LCD 6. That is, in this embodiment, the digital camera 11 has a function equivalent to that of the image classification device 2 of the above embodiment.

  As described above, since the image classification function is provided in the digital camera 11, the image data can be classified by the digital camera 11 alone. Moreover, since the memory card 15 can rewrite data, it can rewrite map data.

  In the above embodiment, the map data is stored in the memory card 15, but the digital camera 11 may be provided with a communication unit that can be connected to the map data server storing the map data via the Internet. In this case, the control unit 14 connects to the map data server via the communication unit and the Internet, searches the map data in the map data server, and selects LM name data corresponding to the image data.

  FIG. 16 shows another embodiment. Constituent members similar to those of the embodiment shown in FIGS. 1 to 14 are denoted by the same reference numerals, and the detailed description thereof is simplified. In this embodiment, the image classification device 2 includes a communication unit 43 that can be connected to the map data server 42 via the Internet 41. The map data server 42 is provided in a map data management mechanism or the like that manages map data, and stores the map data of the above embodiment. The map data management mechanism always stores the latest map data in the map data server 42.

  The CPU 3 connects to the map data server 42 via the communication unit 43 and the Internet 41 based on the position data stored in the image data, searches the map data in the map data server 42, and selects LM name data. After the selected LM name data is stored in the image data, the image data is stored in the ROM 4.

  As described above, the map data server 42 storing the latest map data is connected to the map data server 42 via the communication unit 43 and the Internet 41, and the map data in the map data server 42 is retrieved and stored in the image data. Since the LM name data related to the data is selected, the landmark name can be surely confirmed even when photographing with the newly constructed landmark.

It is a functional block diagram which shows the electrical constitution of the image classification device and digital camera which implemented this invention. It is a top view which shows an image search screen. It is a top view which shows an image display screen. It is a top view which shows the map area | region of map data. It is explanatory drawing of a division area data table. It is explanatory drawing of a division area list table. It is explanatory drawing of a landmark data table. It is a top view which shows the map area | region of alpha amusement park. It is a top view which shows the map area | region of (beta) ferris wheel. It is a top view which shows the map area | region of (gamma) roller coaster. It is a flowchart which searches the landmark of an imaging position based on the position data memorize | stored in image data. It is a flowchart which classifies and displays the image data memorize | stored in ROM. It is a flowchart which classify | displays and displays the image data memorize | stored in ROM by inputting a facility name. It is a flowchart which changes the landmark data memorize | stored in image data, and changes an image classification destination. It is a functional block diagram which shows the electric constitution of the digital camera of embodiment with which a digital camera functions as an image classification device. It is a functional block diagram which shows the electrical structure of the image classification device of embodiment and digital camera which connect to the map data server provided with map data via the internet.

Explanation of symbols

2 Image classification device 3 CPU (image data classification means)
4 ROM (map data storage means)
5 RAM
6 LCD
7 Input operation part (input means)
11 Digital camera 15 Memory card 32a LM name display part 32b LM name selection part 32c LM name change button

Claims (11)

Image data storage means for storing photographed image data having position data of the photographing position;
Facility search means for searching facility data of a facility where the shooting position is located from map data having facility data including the position and name data of the facility based on the shooting position data;
An image data classification unit that classifies the captured image data by facility based on a search result in the facility search unit,
An image classification apparatus comprising: changing means for changing the shooting position data included in the shot image data and changing a classification destination of the shot image data. Facility name list display means for displaying a list of each facility name classified by the image data classification means,
Image list display means for displaying a list of the photographed image data classified into the selected facility name when any one of the facility names displayed by the facility name list display means is selected. The image classification apparatus according to claim 1, wherein: An enlarged display means for enlarging and displaying the selected captured image data when any of the captured image data displayed by the image list display means is selected;
Selected facility name display means for displaying the facility name of the classification destination of the captured image data displayed on the enlarged display means;
Proximity facility name display means for displaying a list of facility names adjacent to the facility displayed on the selected facility name display means,
When any one of the facility names displayed on the adjacent facility name display unit is selected, the changing unit uses the shooting location data of the captured image data displayed on the enlarged display unit as the selected facility. The image classification apparatus according to claim 2, wherein the position classification data is changed to position data. Provide an input means to enter the facility name,
4. The image according to claim 2, wherein the image list display means displays the photographed image data classified into the inputted facility name as a list in response to inputting the facility name by the input means. Classification device.   5. The facility name list display means displays a list of facility names so as to form a tree structure based on the inclusion relationship when other facilities are located in the facility. The image classification device according to claim 1.   6. The image classification apparatus according to claim 1, further comprising map data storage means for storing the map data.   6. The image classification apparatus according to claim 1, further comprising communication means capable of communicating with an external data server storing the map data. Stores photographed image data having position data of the photographing position,
Search the facility data of the facility where the shooting position is located from the map data having the facility data including the location and name of the facility,
An image classification method for classifying the captured image data by facility based on a search result,
An image classification method comprising: changing the photographing position data included in the photographed image data and changing a classification destination of the photographed image data.   A digital camera comprising the image classification device according to any one of claims 1 to 5.   10. The digital camera according to claim 9, wherein the map data is stored in a recording medium that is detachable from the camera body.   10. The digital camera according to claim 9, further comprising communication means capable of communicating with an external data server storing the map data.

Images