JP2005086238A - Imaging apparatus and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an imaging apparatus capable of guiding an imaging state by each classification even during imaging by classifying imaged pictures on the basis of a imaging point at imaging and obtaining an amount of imaging by each classification. <P>SOLUTION: A CPU 1 acquires a present position from a GPS communication section 9 and a present date and time from a clock section 10, decides the area dependent classification to classify the imaged pictures depending on the imaged scene and the time zone classification on the basis of imaging points, calculates the number of area dependent imaged pictures and the number of time zone dependent imaged pictures on the basis of the area dependent classification and the time zone classification and displays the result as a guidance. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to an image photographing apparatus and a program for providing auxiliary photographing guidance to a photographer.

Conventionally, as an image shooting apparatus that performs shooting assistance guidance to a photographer, for example, a preset number of shots that can be taken is compared with the number of shots that have actually been taken, There is known a digital camera that enables photographing (see Patent Document 1).
There is also known an image photographing apparatus that classifies photographed images based on the photographing date and time or photographing position (see Patent Document 2).

JP 2003-78806 A JP 2001-228528 A

  However, the above-mentioned Patent Document 1 is a technique for managing the total number of shots, and the above-described Patent Document 2 is a technique for classifying and managing each captured image after completion of capturing a large number of captured images. there were.

  By the way, when shooting without thinking about when, where, and how much shooting was done during sightseeing trips and events, there is a time when creating an album while organizing many shot images The number of shots is extremely large at the place and time, but there is a large variation in the amount of shot taken every place, time zone, and day. You may notice. Therefore, when taking pictures that cannot be retaken, such as sightseeing trips or events, it is necessary to always take pictures while observing when and in what place, and how much photography has been done. There was a problem of calling.

An object of the first invention is to categorize a photographed image based on a photographing point at the time of photographing and obtain a photographing amount for each classification, so that a photographing situation for each classification can be guided even during photographing work. Is to do so.
The subject of the second invention is to classify the photographed image based on the photographing point at the time of photographing, and to obtain the photographing amount for each classification, so that the photographing situation according to the classification is appropriate even during the photographing work. It is to be able to guide if there is.

The invention according to claim 1 (first invention) is an image photographing apparatus for providing a photographing assistance to a photographer, an acquisition means for obtaining a photographing point when photographing, and a photographed image. Determination means for determining a scene classification to be classified according to the shooting scene based on the shooting point obtained by the acquisition means, and for each scene classification determined by the determination means, a shooting amount for each classification is calculated. An image photographing apparatus comprising: a calculating means for performing an output; and an output means for outputting a guidance for the photographing amount classified by classification calculated by the calculating means.
Furthermore, a program for realizing the main functions shown in the invention described in claim 1 is provided to the computer (the invention described in claim 11).
The shooting point means a point / time point or a point and time point when shooting is performed, and the guidance output may be display guidance / voice guidance (hereinafter the same).

The invention described in claim 1 may be as follows.
The acquisition unit acquires a shooting point indicating a current shooting point via a network, and the determination unit has recorded a shooting image obtained by the shooting point or a vicinity of the point obtained by the acquiring unit. If there is, the photographed image and the current photographed image are determined as the same scene classification (the invention according to claim 2).

  The acquisition unit acquires a shooting point indicating a current shooting time point, and the determination unit, if the shooting image obtained by the acquisition unit or a shooting point around the time point has been recorded, The photographed image and the current photographed image are determined as the same scene classification (the invention according to claim 3).

  The determining means determines the current shooting point as a new scene classification when the captured image and the current captured image cannot be set to the same scene classification (the invention according to claim 4).

 The determining means determines the scene classification of the current photographed image for each photographing, and the calculating means updates the photographing amount classified by classification corresponding to the determined scene classification for each photographing (the invention according to claim 5). .

  The output means displays a list of photographing amounts classified by classification every predetermined operation or every predetermined time (the invention according to claim 6).

  The output means converts the photographing amount classified by classification into graph data for each predetermined operation or every predetermined time and displays the graph data (Invention of Claim 7).

The invention according to claim 8 (second invention) is an image photographing device for providing a photographing assistance to a photographer, an acquisition means for obtaining a photographing point when photographing, and a photographed image. Determination means for determining a scene classification to be classified according to the shooting scene based on the shooting point obtained by the acquisition means, and for each scene classification determined by the determination means, a shooting amount for each classification is calculated. A calculating means for comparing, a comparing means for comparing the photographing amount classified by classification calculated by the calculating means with a predetermined shooting amount, and an output means for outputting guidance according to the comparison result obtained by the comparing means. This is an image photographing apparatus characterized by the above.
Furthermore, a program for realizing the main functions shown in the invention described in claim 8 is provided to the computer (the invention described in claim 12).

The invention described in claim 8 may be as follows.
As a result of comparing the calculated shooting amount by classification with a predetermined shooting amount, the comparison unit specifies a scene classification in which the shooting amount is too much or too small compared to the predetermined shooting amount, and the output unit includes: The specified scene classification is output as guidance (invention of claim 9).

  The output means provides a guidance output of the shooting amount of the specified scene classification and the predetermined shooting amount (the invention according to claim 10).

 According to the first aspect of the present invention (first invention), the shooting point at the time of shooting is acquired, and the scene classification for classifying the shot image according to the shooting scene is based on the shooting point. Since the shooting amount for each scene is calculated and guidance is output for each scene classification, the shooting status for each category can be guided even during shooting, and the shooting status for each category can be displayed. By checking, if there is a bias in the amount of photographing, it is possible to immediately grasp that, and it is possible to perform well-balanced photographing recording without any bias for each classification.

  According to the invention described in claim 2, in addition to having the same effect as that of the invention described in claim 1 described above, a shooting point indicating the current shooting point is acquired via the network, and the shooting point or the vicinity of the point is acquired. If the shot image with the shooting point is already recorded, the shot image and the current shot image are determined as the same scene classification, so that the shot images shot at the same place are classified as the same classification. You can check the shooting amount for each location.

  According to the invention described in claim 3, in addition to having the same effect as that of the invention described in claim 1 described above, a shooting point indicating the current shooting time point is acquired, and the shooting point is set at or near this shooting time point. If the photographed image to be recorded has been recorded, the photographed image and the current photographed image are determined as the same scene classification. Therefore, the photographed images photographed in the same time zone are classified as the same class. It is possible to check the shooting amount for each time zone.

  According to the invention described in claim 4, in addition to having the same effect as that of the invention described in claim 1 described above, if the captured image and the current captured image cannot be set to the same scene classification, Since the shooting point is determined as a new scene classification, the scene classification can be automatically generated even if the scene classification is not registered in advance.

  According to the invention described in claim 5, in addition to having the same effect as that of the invention described in claim 1, the scene classification of the current photographed image is determined for each photographing, and the photographing by classification corresponding to the scene classification is performed. Since the amount is updated for each photographing, the photographing amount classified by classification as the latest information at the present time can be obtained.

  According to the sixth aspect of the invention, in addition to having the same effect as the first aspect of the invention described above, the photographing amount classified by classification is displayed in a list every predetermined operation or every predetermined time. The amount can be compared, and it is possible to easily confirm which category of photographing amount is biased.

  According to the seventh aspect of the invention, in addition to having the same effect as the first aspect of the invention described above, the photographing amount by classification is displayed in a graph every predetermined operation or every predetermined time. Whether there is a bias in the amount of photographing can be checked sensuously and intuitively, and it is effective as a means for preventing misreading.

  According to invention of Claim 8 (2nd invention), while acquiring the photography point at the time of imaging | photography, the scene classification | category for classifying a picked-up image according to the photography scene is based on a photography point. In addition to determining, for each scene classification, the shooting amount for each category is calculated, and guidance according to the comparison result between the shooting amount for each category and the predetermined shooting amount is output. It is possible to guide whether the shooting situation according to the classification is appropriate, and it is possible to immediately know in which classification biased shooting is performed. In other words, if you specify a category with a bias in shooting amount and output the guidance, or obtain the bias amount or degree and output the guidance, you can immediately know which category is biased and how much the bias is. And effective auxiliary guidance can be realized.

  According to the ninth aspect of the invention, in addition to having the same effect as that of the above-described eighth aspect of the invention, as a result of comparing the photographing amount classified by classification with the predetermined photographing amount, the photographing amount is larger than the predetermined photographing amount. Too many or too few scene classifications are specified, and this scene classification is output as a guidance.For example, there are only too many or too few shooting amounts compared to the average shooting amount, which is the average shooting amount by category. Only when the shooting amount is too large or too small compared to the target shooting amount (preset amount set by the user) or standard shooting amount (default amount) preset for each scene category. Can be specified and guided.

 According to the invention of claim 10 (the dependent invention of claim 9), in addition to having the same effect as the inventions of claims 8 and 9, the shooting amount of the specified scene classification and the predetermined shooting amount Since the guidance is output, it is possible to immediately know how much the bias is.

(Example 1)
Hereinafter, a first embodiment of the present invention will be described with reference to FIGS.
FIG. 1 is a block diagram showing basic components of the image photographing apparatus in this embodiment.
This image photographing apparatus uses a CCD image sensor or the like as an image pickup device, records and saves a photographed image (color image) obtained by photographing a subject, or transmits it to the outside via a mobile communication network. However, it may be a mobile phone or the like incorporating this kind of digital still camera. This image capturing apparatus classifies captured images based on shooting points (points and time points) at the time of shooting, and obtains the number of shots for each category for guidance display.
Before detailed description of the features of this embodiment, the hardware configuration of this embodiment will be described below.

  The image photographing apparatus includes a CPU 1, a camera optical system drive unit 2, an operation unit 3, a display unit 4, a memory 5, an internal recording unit 6, an external recording medium 7, a communication unit 8, a GPS communication unit 9, a clock unit 10, and a buzzer. 11 is a basic component. The CPU 1 is a central processing unit that controls the overall operation of the image photographing apparatus in accordance with an operating system and various application software. The camera optical system drive unit 2 includes a photographing lens, a lens / mirror block such as a mirror, an image pickup device such as a CCD image sensor, and a drive system thereof. The CPU 1 performs drive control and shutter drive control during autofocus. The captured image is taken in.

  The operation unit 3 has various buttons such as a shutter button and gives an operation signal to the CPU 1. The display unit 4 is, for example, a liquid crystal display unit, and is used as a monitor screen, a finder screen, and an image playback screen. The memory 5 is a ROM in which an operating system, various application software, and the like are stored, a work RAM, and the like. The program storage area in the memory 5 stores an application program for realizing the present embodiment in accordance with the operation procedure shown in FIGS. 5 and 6 to be described later, and the data storage area in the memory 5 has Data (image index table, area tabulation table, time zone tabulation table, etc.) shown in FIG. 2 to be described later is stored. The internal recording unit 6 is an internal memory for storing a stored image, and the external recording medium 7 is a removable image recording storage medium such as a DVD. The communication unit 8 wirelessly transmits a captured image via a wide area communication network (mobile communication network, Internet). The GPS communication unit 9 receives and obtains information from a position measurement system that measures the current position using a terrestrial / satellite control station, and the clock unit 10 performs a time measurement process that measures the current date and time. The buzzer 11 generates and outputs various warning sounds.

FIG. 2 is a diagram showing the contents of the image index table 12.
This image index table 12 is written with the current position obtained by the GPS communication unit 9 and the current date and time obtained by the clock unit 10 as the photographing point at that time each time photographing is performed. Corresponding to the photographed image, each of the items “image No.”, “shooting date / time”, “shooting position”, “area No”, and “time zone No” is configured. “Image No.” is a serial number that is updated each time a picture is taken. It should be noted that this “image No” is added to each image file recorded and recorded. The “shooting date / time” is information indicating the shooting time point, and the current date / time obtained by the clock unit 10 is set. The “shooting position” is information indicating a shooting point, and the current position (longitude / latitude information and location information) obtained by the GPS communication unit 9 is set.

 “Area No.” and “Time Zone No” are information for identifying scene classifications for classifying captured images according to the shooting scenes. The current position obtained from the GPS communication unit 9 at the time of shooting and the clock unit 10 It is determined based on the current date and time obtained. “Area No” is link information with the area tabulation table 13, and “Time zone No” is link information with the time zone tabulation table 14. That is, every time shooting is performed, the CPU 1 classifies the captured image according to the area based on the current “shooting position” and also classifies according to the time zone based on the current “shooting date”. , “Area No” is link information with the area totaling table 13 that aggregates and manages the shooting amount (number of shots) by area, and “time zone No” totals the shooting amount (number of shots) by time zone. It is link information with the time zone total table 14 to manage.

FIG. 3 is a diagram showing the contents of the area tabulation table 13.
This area totaling table 13 stores and manages the number of shots classified by category classified for each shooting area, and has a configuration having items of “area number”, “number of shots”, and “area name” for each category area. ing. Here, when a captured image captured within a predetermined distance (for example, within 100 m) from the current “imaging position” is recorded and saved, the current captured image and the captured image are classified into the same class. It is handled as an area. In other words, the classification by area does not mean a fixed range, but is based on the condition that the distance difference between the “shooting position” of the shot image and the “shooting position” of the current shot image is within a predetermined distance. For example, when photographing is repeated N times at 100 m intervals, a range of 100 m × N is handled as an area of the same classification. The predetermined distance is not limited to 100 m, and may be 10 m or the like, and can be arbitrarily set by the user. “Area No” is a serial number that is automatically generated every time shooting is performed in a new area. “Number of shots” is an area-specific shooting amount (number of shots) counted for each classification area. The “area name” is a place name, facility name, or the like that is automatically acquired via the GPS communication unit 9 every time shooting is performed in a new area.

FIG. 4 is a diagram showing the contents of the time zone tabulation table 14.
This time zone totaling table 14 stores and manages the number of shots by category classified for each shooting time zone, and each item of “time zone No”, “number of shots”, and “actual time zone” for each classification time zone. It has composition which has. Here, if the time from the previous shooting to the current shooting is within a predetermined time (for example, within 30 minutes), the current shooting image and the previous shooting image are handled as the same time zone. Yes. In other words, the classification by time zone does not mean a fixed range, and the time difference between the “shooting date” of the previous image taken immediately before and the “shooting date” of the current shot image is within a predetermined time. For example, when shooting is repeated N times at 30-minute intervals, a time of 30 minutes × N is handled as a time zone of the same classification. The predetermined time is not limited to 30 minutes, and may be 10 minutes or the like, and can be arbitrarily set by the user. “Time zone No” is a serial number that is automatically generated every time shooting is performed in a new time zone. The “number of shots” is a shooting amount (number of shots) for each time zone that is tabulated for each classification time zone. “Actual time zone” indicates the start time and end time of a fluctuating time zone. For example, “11:00” to “12:30”, “14:00” to “15:00”, etc. It is.

The number of shots by category in the area tabulation table 13 and the time zone tabulation table 14 is displayed as guidance as the current shooting situation. This guidance display is performed for a certain period of time when the power is turned on, immediately after shooting, or when the guidance button is operated. In this case, the number of shots by area and the number of shots by time zone are converted into individual bar graph data and displayed on the same screen.
FIG. 5 is a diagram showing a shooting situation guidance screen. In this screen, a table in which the number of shots is bar graphed for each area and a table in which the number of shots is bar graphed for each time zone are displayed in parallel.

  Next, the operation concept of the image photographing apparatus in the first embodiment will be described with reference to the flowcharts shown in FIGS. Here, each function described in these flowcharts is stored in the form of a readable program code, and operations according to the program code are sequentially executed. It is also possible to sequentially execute operations according to the program code transmitted via the transmission medium. This also applies to other embodiments described later, and in addition to the recording medium, operations specific to this embodiment can be executed using programs / data supplied externally via a transmission medium.

6 and 7 are flowcharts showing the overall operation of the image capturing apparatus.
First, when the power is turned on, the CPU 1 accesses the area totaling table 13 to read out the number of shots by area (step A1) and accesses the time zone counting table 14 to read out the number of shots by time zone (step A1). A2). Then, the number of shots for each area is converted into a bar graph, and the data for the number of shots for each time zone is converted into a bar graph (step A3). In this case, an alarm sound is generated and output together with the guidance display.

 Here, the CPU 1 checks the presence / absence of a button operation, and if any button is operated, checks the type of the operation button (steps A5 and A6). If the shutter button is operated (YES in step A5), the captured image is acquired and “Image No” is updated, and the captured image with the added “Image No” is recorded and saved as an image file ( Step A7). Then, the current position obtained by the GPS communication unit 9 and the current date and time obtained by the clock unit 10 are acquired (step A8), and the image index table 12 is accessed based on the current position, and the current position and the image index table are obtained. The “photographing position” closest to the current position, that is, a position in the vicinity of the current position is searched by comparing each “photographing position” in 12 (step A9).

 Thus, the difference between the “photographing position” retrieved and the current position is calculated, and it is checked whether the difference value is within a predetermined distance (within 100 m) (step A10 in FIG. 7). Here, if the search position (shooting position of the captured image) and the current shooting position are within 100 m, it is recognized that the shooting is performed within the same classification area, and is associated with the search position. "Area No" is read from the image index table 12 (step A11), the area count table 13 is searched based on this "Area No", and "1" is added to the corresponding "number of shots" to update the value. (Step A12).

 On the other hand, if the distance between the search position and the current shooting position exceeds 100 m (NO in step A10), it is recognized that the shooting is in another classification area, and a new “area number” is generated ( Step A13), the location name and facility name of the current position are automatically acquired as “area name” via the GPS communication unit 9 (step A14). Then, a record including a new “area No.” and “area name” is generated and additionally registered in the area tabulation table 13, and an initial value “1” is set to “number of shots” in the record (step) A15).

 Next, the CPU 1 accesses the image index table 12 based on the current date and time acquired from the clock unit 10, and acquires the “shooting date and time” of the image shot immediately before (step A16). That is, by comparing the current date and time with each “shooting date and time” in the image index table 12, the “shooting date and time” closest in time to the current date and time is retrieved and acquired. Then, the difference between the “shooting date and time” and the current date and time is calculated, and it is checked whether the difference value is within a predetermined time (within 30 minutes) (step A17). In other words, it is checked whether or not the blank time from the previous shooting to the current shooting exceeds 30 minutes.

 Here, if it is within 30 minutes from the last shooting to the current shooting, it is recognized that the shooting was performed within the same time zone, and the “time zone No” associated with this search date is set. A process of reading from the image index table 12 (step A18), searching the time zone totaling table 14 based on this “time zone No”, adding “1” to the corresponding “number of shots”, and updating the value. Perform (Step A19). Then, the “real time zone” associated with the “time zone No” is read out, the time from the previous shooting to the current shooting is calculated, and the calculated time is added to the “real time zone”. As a result, a process of updating the end date and time of the “real time zone” is performed (step A20). For example, if the “real time zone” at the last shooting is “11:00” to “12:30” and the current shooting time is “13:00”, the “real time zone” Is updated to “13:00”, and the updated “real time zone” is “11:00” to “13:00”.

 On the other hand, if the blank time from the previous shooting to the current shooting exceeds 30 minutes (NO in step A17), it is recognized that the shooting is in another classification time zone, and a new “time zone No” is set. Is generated (step A21), and the start date / time of the “real time zone” is set by setting the current date / time acquired from the clock unit 10 as the start date / time of the new “real time zone” (step A22). ). For example, if the previous shooting date and time is “14:00” and the current date and time is “15:00”, this “15:00” is the start date and time of the new “real time zone”. Become. Then, a record including a new “time zone No” and “real time zone” is generated and additionally registered in the time zone totaling table 14, and an initial value “1” is set to “number of shots” in the record. (Step A23).

When the process of updating the contents of the area tabulation table 13 and the time zone tabulation table 14 is completed in this way, a process of writing information relating to the current shooting in the image index table 12 is performed (step A24). That is, the image index table is generated by generating a record including “image No”, “current position”, “current date”, “area No”, and “time zone No” obtained as described above as the current shooting information. 12 is additionally registered.
On the other hand, when the guidance button is operated (YES in step A6 in FIG. 6), the process proceeds to the first step A1, and the area totaling table 13 and the time zone totaling table 14 are accessed, and the number of shots per area and time zone are accessed. The number of shots is displayed in a graph (steps A1 to A3). That is, each time the guidance button is operated, the number of shots for each area and the number of shots for each time zone are displayed as guidance.

 As described above, in the first embodiment, the CPU 1 obtains the current position from the GPS communication unit 9 and the current date and time from the clock unit 10 as shooting points, and classifies the shot images according to the shooting scene. The classification by time and the time zone are determined based on the shooting points, and for each area and time zone classification, the number of shots by area and the number of shots by time zone are calculated and displayed as guidance. Even during shooting work, you can guide the shooting situation by category, and by checking the shooting situation for each category, if the shooting amount is biased, you can immediately grasp that Thus, it is possible to perform well-balanced shooting and recording with no bias for each classification.

 In this case, the area-specific classification is an area that varies on the condition that the distance difference between the “photographing position” of the photographed image and the “photographing position” of the current photographed image is within a predetermined distance. Another classification is also a time zone that fluctuates on the condition that the time difference between the “shooting date / time” of the previous image taken immediately before and the “shooting date / time” of the current shot image is within a predetermined time. Photographed images (one group of photographed images) can be classified into the same category.

Here, if the captured image and the current captured image cannot be classified into the same classification, the current shooting point is determined as a new scene classification, so the classification is not registered in advance. Even the classification can be automatically generated.
In addition, since the classification of the current captured image is determined for each shooting and the number of shots for each category corresponding to this classification is updated for each shooting, the number of shots for each category as the latest information can be obtained. it can.

In addition, the number of shots by area and shooting number by time zone is displayed in a list for a certain period of time when the power is turned on, immediately after shooting, or when the guidance button is operated. It is possible to easily check whether the number of sheets is uneven.
In this case, since the number of shots by category is displayed in a graph, it is possible to check intuitively which category of shots is biased, and it is effective as a means of preventing mistakes. Become.

In the first embodiment described above, the current position is received and acquired from the network via the GPS communication unit 9, but for example, the camera is connected to a mobile phone to acquire the position information. Also good.
In the first embodiment described above, the number of shots by area and the number of shots by time zone are updated for each shot, but the number of shots by area and the number of shots by zone are calculated at a given timing. You may do it.

In the first embodiment described above, the classification area is not fixed, and the area where the distance difference between the “photographing position” of the photographed image and the “photographing position” of the current photographed image is within a predetermined distance is set as the classification area. However, the classification area may be a fixed area classified for each place name.
Similarly, in the above-described first embodiment, the time zone area is not fixed, and the time difference between the “shooting date” of the previous image taken immediately before and the “shooting date” of the current shot image is within a predetermined time. Although the time zone is the time zone area, for example, a certain period such as a day unit or a week unit may be used as the time zone area.

On the other hand, a recording medium (for example, a CD-ROM, a floppy disk, a RAM card, etc.) on which a program code for executing each of the above-described units is recorded may be provided to the computer. That is, the recording medium having a computer-readable program code, the function of acquiring a shooting point when shooting, and the scene classification for classifying the shot image according to the shooting scene Records a program that realizes the function to determine based on the shooting point, the function to calculate the shooting amount by category for each determined scene classification, and the function to output guidance for the calculated shooting amount by category A computer-readable recording medium may be provided.
(Example 2)

A second embodiment of the present invention will be described below with reference to FIGS.
In the second embodiment, the photographed images are classified based on the photographing points at the time of photographing, and the number of photographed images according to the classification is obtained to guide whether the photographing situation according to the classification is appropriate. It is designed to guide whether shooting is biased by classification. In other words, out of the number of shots for each category, which classification is biased by specifying a category with a bias in the number of shots and displaying the guidance by obtaining the bias amount, and what is the bias It is intended to guide you.
Here, the same or the same names in both embodiments are denoted by the same reference numerals, the description thereof will be omitted, and the following description will focus on the features of the second embodiment. .

FIG. 8 shows the contents of the image index table 12 in the second embodiment.
In this image index table 12, the current position obtained by the GPS communication unit 9 and the current date and time obtained by the clock unit 10 are written as photographing points at that time each time photographing is performed, as in the first embodiment. In this configuration, each item of “Image No.”, “Shooting Date / Time”, and “Shooting Position” is associated with each captured image.

  Also in the second embodiment, an area tabulation table 13 and a time zone tabulation table 14 similar to those in the first embodiment described above are provided. Note that “place name” is set in the “area name” of the area tabulation table 13 of the second embodiment. In particular, in the second embodiment, when the guidance button is operated, the classified by area and the classified by time zone for classifying the photographed image according to the photographing scene while referring to the image index table 12. Is determined based on the shooting point, and the number of shots for each area and the number of shots for each time zone are updated in a batch. Furthermore, among the number of shots for each area and the number of shots for each time zone, a classification with a bias in the number of shots is specified and displayed as guidance, or the amount of bias is obtained and guidance is displayed.

In other words, the CPU 1 calculates an average number of shots obtained by averaging the number of shots by area in the area totaling table 13, and compares the average shot number of shots with the number of shots by area, so that it is equal to or less than ½ of the average shot number. An area is specified as a category with too few shots, or an area that is twice or more the average number of shots is specified as a category with too many shots and guidance is displayed.
Similarly, the CPU 1 calculates an average number of shots by averaging the number of shots by time period in the time zone totaling table 14, and compares this average number of shots with the number of shots by period of time to calculate 1 of the average number of shots. The area below / 2 is specified as a category with too few shots, or an area more than twice the average number of shots is specified as a category with too many shots and guidance is displayed.

FIG. 9 is a diagram showing a screen for guiding the comparison result of the number of shots by area. As a result of comparing the average number of shots by area and the number of shots by area, Shows a screen that provides guidance for too many areas.
On this screen, “average number of shots”, “1/2 or less area”, and “double or more area” are displayed as guidance, and “1/2 or less area” and “double or more area” include “ “Area name” and “Number of shots” are displayed as guidance.
Although the screen for guiding the comparison result of the number of shots by time zone is omitted, the screen content is basically the same as that of FIG.

10 and 11 are flowcharts showing an outline of the overall operation of the image photographing apparatus in the second embodiment.
First, the CPU 1 checks whether or not there is a button operation, and if any button is operated, checks the type of the operation button (steps B1 and B2). If the shutter button is operated (YES in step B1), the captured image is acquired and “Image No” is updated, and the captured image with the added “Image No” is recorded and saved as an image file ( Step B3). Then, the current position obtained by the GPS communication unit 9 and the current date and time obtained by the clock unit 10 are acquired (step B4), and the “image No”, “shooting date and time”, and “shooting position” are stored in the image index table 12. Are additionally registered (step B5). Such an operation is repeated every time the shutter button is operated.

On the other hand, when the guidance button is operated (YES in step B2), one “image No” in the image index table 12 is designated from the head (step B6), and “shooting” corresponding to this “image No” is designated. "Position" and "Shooting date / time" are read (step B7). Then, the area classification is determined based on the “shooting position” (step B8), and “1” is added to the number of shots by area and the value is updated (step B9). The area-specific classification is determined by transmitting the “photographing position” from the GPS communication unit 9 and acquiring the corresponding place name. If the place names are the same, they are determined as the same classified area. Next, the time zone classification is determined based on “shooting date and time” (step B10), and “1” is added to the number of shots by area and the value is updated (step A11). The classification by time zone is determined by basically the same processing as in the first embodiment described above. If the shooting interval is within 30 minutes, it is determined as an area of the same classification.
Then, it is checked whether or not all “image Nos” in the image index table 12 have been designated (step B12), and the process returns to step B6 until the designation is completed. The number of shots and the number of shots by time zone are updated at once.

 When such an update process is completed (YES in step B12), the process moves to a process for specifying a classification with a bias in the number of shots and displaying a guidance. First, the CPU 1 calculates an average number of shots obtained by averaging the number of shots for each area in the area totaling table 13 (step B13 in FIG. 11), and compares the average shot number of shots with the number of shots for each area. An area of 1/2 or less of the number of images is searched as a classification with too few images (step B14), and the presence / absence thereof is checked (step B15). If there is no corresponding area, the process proceeds to step B17. If there is an area equal to or less than ½ of the average number of shots, the “area name” and “number of shots” are read from the area totaling table 13. The list is created (step B16).

 Next, an area that is twice or more the average number of shots is searched as a category with too many shots (step B17), and the presence or absence is checked (step B18). If there is an area that is twice or more the average number of shots, the “area name” and “number of shots” are read from the area totaling table 13 and a list thereof is created (step B19). As a result, when a list of 1/2 or less and a list of 2 or more are created, this list is displayed as a guidance (step B20).

 Further, the CPU 1 proceeds to a process of displaying a guidance result of comparison of the number of shots by time zone (step B21). That is, for the number of shots by time zone, similarly, after calculating the average number of shots by averaging the number of shots by time zone in the time zone totaling table 14, the average number of shots is compared with the number of shots by time zone. By doing so, search for an area that is 1/2 or less of the average number of shots as a category with too few shots to create a list, or search for areas that are twice or more than the average number of shots and that have too many shots. The list is created and displayed.

  As described above, in the second embodiment, the CPU 1 acquires the current position from the GPS communication unit 9 and the current date and time from the clock unit 10 as shooting points, and classifies the shot images according to the shooting scene. Separate categories and time zone classifications are determined based on shooting points, and for each category, the number of shots per area and the number of shots per time zone are calculated. Since the guidance according to the comparison result is displayed, it is possible to guide whether the shooting situation by category is appropriate and to immediately know which category is biased shooting. it can. In other words, it is possible to immediately know which class is biased and how much the bias is, by specifying the classification with the bias in the number of shots and outputting the guidance, or obtaining the bias amount and displaying the guidance. Effective auxiliary guidance can be realized.

  In this case, the average number of shots is calculated by averaging the number of shots by category, and the average number of shots is compared with the number of shots by category. As a list, and more than twice the average number of shots is searched and displayed as a list with too many shots. ) Only, and it is possible to know how much the bias is, that is, whether it is 1/2 or less of the average number of shots. In this case, since the average number of shots is displayed as a guide in addition to the number of shots with a biased classification, the amount of bias can be more specifically known.

In the second embodiment described above, the number of shots and the average number of shots in the classification (class with a problem) in which the number of shots is biased are guided, but the difference between the average number of shots and the number of shots is calculated. You may make it display for guidance.
In the second embodiment described above, the predetermined number of shots to be compared with the number of shots for each category is the average number of shots. However, the target shooting amount or the standard shooting amount (default amount) that is arbitrarily set in advance for each category. ) May be the predetermined number of shots for comparison.

  On the other hand, you may make it provide the recording medium which each recorded the program code for making a computer perform each means mentioned above. That is, the acquisition means is a recording medium having a program code readable by a computer, the function of acquiring a shooting point when shooting is performed, and the scene classification for classifying a shot image according to the shooting scene A function for determining based on the shooting points obtained by the above, a function for calculating the shooting amount for each determined scene classification, and a function for comparing the calculated shooting amount for each category with a predetermined shooting amount. A computer-readable recording medium that records a program for realizing a function of outputting guidance according to the comparison result may be provided.

In the first and second embodiments described above, the case where a digital still camera is applied has been exemplified. However, the present invention is not limited to still images and can be applied basically to video cameras as well.
Furthermore, the present invention can be applied not only to a handy type camera but also to an installation type surveillance camera and the like, and also to an electronic device with a built-in camera.

The block diagram which showed the basic component of the image imaging device. The figure which showed the content of the image index table. The figure which showed the content of the area total table 13. FIG. The figure which showed the content of the time-zone total table. The figure which showed the guidance screen of the imaging | photography condition. The flowchart which showed the whole operation | movement of the image imaging device. The flowchart which showed the whole operation | movement of the image imaging device following FIG. The figure which showed the content of the image index table 12 in 2nd Example. The figure which showed the screen which guides the comparison result of the imaging | photography number according to area in 2nd Example. 9 is a flowchart showing an outline of the overall operation of the image capturing apparatus according to the second embodiment. The flowchart which showed the outline | summary of the whole operation | movement of an image imaging device following FIG.

Explanation of symbols

1 CPU
2 Camera optical system drive unit 3 Operation unit 4 Display unit 5 Memory 9 GPS communication unit 10 Clock unit 11 Buzzer 12 Image index table 13 Area tabulation table 14 Time zone tabulation table

Claims (12)

An image photographing device for providing photographing assistance to a photographer,
Acquisition means for acquiring a shooting point at the time of shooting;
Determining means for determining a scene classification for classifying the photographed image according to the photographing scene based on the photographing point obtained by the obtaining means;
For each scene classification determined by this determination means, a calculation means for calculating the shooting amount for each classification,
An output means for outputting a guidance for the photographing amount classified by classification calculated by the calculating means;
An image photographing apparatus comprising: The acquisition means acquires a shooting point indicating a current shooting point via a network,
The determination unit determines the captured image and the current captured image as the same scene classification if the captured image obtained by the acquiring unit or a captured image in the vicinity of the point has been recorded. ,
2. The image photographing device according to claim 1, wherein the image photographing device is configured as described above. The acquisition means acquires a shooting point indicating a current shooting time point,
The determination unit determines the captured image and the current captured image as the same scene classification if the captured image obtained by the acquisition unit or a captured image with the captured point before and after the captured time has been recorded. To
2. The image photographing device according to claim 1, wherein the image photographing device is configured as described above. The determining means determines the current shooting point as a new scene classification when the captured image and the current captured image cannot be set to the same scene classification,
4. The image photographing device according to claim 2, wherein the image photographing device is configured as described above. The determining means determines the scene classification of the current captured image for each shooting,
The calculation means updates the shooting amount by classification corresponding to the determined scene classification for each shooting.
The image capturing apparatus according to claim 1, wherein the image capturing apparatus is configured as described above. The output means displays a list of photographing amounts classified by classification every predetermined operation or every predetermined time.
The image capturing apparatus according to claim 1, wherein the image capturing apparatus is configured as described above. The output means converts the photographing amount classified by classification into graph data for each predetermined operation or every predetermined time, and displays it.
The image capturing apparatus according to claim 1, wherein the image capturing apparatus is configured as described above. An image photographing device for providing photographing assistance to a photographer,
Acquisition means for acquiring a shooting point at the time of shooting;
Determining means for determining a scene classification for classifying the photographed image according to the photographing scene based on the photographing point obtained by the obtaining means;
For each scene classification determined by this determination means, a calculation means for calculating the shooting amount for each classification,
A comparison means for comparing the photographing amount classified by classification calculated by the calculating means with a predetermined photographing amount;
Output means for outputting guidance according to the comparison result obtained by the comparison means;
An image photographing apparatus comprising: The comparison means, as a result of comparing the calculated shooting amount by classification and a predetermined shooting amount, specifies a scene classification in which the shooting amount is too much or too small compared to the predetermined shooting amount,
The output means outputs a guidance of the specified scene classification;
9. The image photographing device according to claim 8, wherein the image photographing device is configured as described above. The output means outputs guidance for the shooting amount of the specified scene classification and the predetermined shooting amount;
The image capturing device according to claim 9, wherein the image capturing device is configured as described above. Against the computer,
A function to acquire shooting points when shooting,
A function for determining a scene classification for classifying a photographed image according to the photographing scene based on the acquired photographing point;
For each determined scene classification, a function for calculating the shooting amount by classification,
A function to output guidance for the calculated amount of shooting by category,
A program to realize Against the computer,
A function to acquire shooting points when shooting,
A function for determining a scene classification for classifying a photographed image according to the photographing scene based on the photographing point obtained by the acquisition unit;
For each determined scene classification, a function for calculating the shooting amount by classification,
A function for comparing the calculated shooting amount by category with a predetermined shooting amount;
A function for outputting guidance according to the comparison result;
A program to realize

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