JP5112798B2 - Camera and image classification information recording method - Google Patents

Description

The present invention relates to a camera and an image classification information recording method, and more particularly, is a technique for finding a desired image from a large number of images, and can search for a favorite image using information on camera operation at the time of shooting or the like. The camera and the image classification information recording method.

In recent years, the memory capacity that a digital camera can handle tends to increase, and images for several years can be recorded inside the camera. When countless images are accumulated in this way, it is very difficult to find a predetermined image from countless images, and it is desired to provide an efficient search method.

In search of the image, can be considered the use of such shooting date information and shooting location information, these information is, did not carry out the evaluation of the image. In other words, this method is not sufficient when searching for highly popular images that you want to show to others. When searching for a popular image, it is conceivable to refer to the camera operation of the photographer. For example, Patent Document 1 discloses a camera that detects a camera operation of a photographer and detects a posture of a camera and changes a reproduced image when the posture is different. This camera can send a display of a reproduced image without operating a button.
JP 2006-87049 A

In the case of the camera disclosed in Japanese Patent Application Laid-Open No. H10-228707, the control is performed to control the reproduction and display of the camera, and it is not intended to classify or search for a highly popular image that would make others want to see it.

The present invention has been made in view of such circumstances, and an object thereof is to provide a camera and an image classification information recording method capable of classifying whether an image is desired to be shown to others. To do.

In order to achieve the above object, a camera according to a first aspect of the present invention includes an imaging unit that captures an image and converts it into image data, an image storage unit that stores the image data, and image data stored in the image storage unit. A display unit for reproducing and displaying an image representing the image, and motion detection for detecting the movement of the camera body accompanying the operation of the user presenting the image based on the posture after shooting in a state where the image is displayed on the display unit And image classification information recording for recording information representing an image evaluation result in association with image data corresponding to the image displayed on the display unit based on the motion of the camera body detected by the motion detection unit A section.

The camera according to a second aspect of the present invention is the camera according to the first aspect, wherein the motion detection unit is configured to display a predetermined image on the display unit and the motion of the camera body is smaller than a predetermined amount in the vertical direction. When it is detected that the change in the left-right direction is larger than a predetermined amount, the image classification information recording unit associates the image displayed on the display unit with the popularity of the predetermined image displayed on the display unit. Record the degree information.
The camera according to a third aspect is the camera according to the second aspect, wherein the information representing the degree of popularity recorded by the image classification information recording unit is displayed in a state where a predetermined image is displayed on the display unit. The greater the number of times the motion detection unit detects that the movement of the camera body is smaller than a predetermined amount in the vertical direction and the change in the left-right direction is larger than the predetermined amount, the higher the popularity.

Furthermore, a camera according to a fourth aspect of the invention has an image classification unit that classifies using the information for classifying the image.
Furthermore, the camera according to a fifth aspect of the present invention is the camera according to the first aspect, further comprising an audio determination unit that determines whether the image is positive by inputting audio, and the image classification unit includes: In addition to the movement of the camera body by the motion detection unit, image classification is performed using the determination result by the sound determination unit.
The camera according to a sixth aspect of the present invention is the camera according to the first aspect, further comprising a manual operation member for inputting an evaluation for the image displayed on the display unit, the image classification unit, and further the manual operation member. Use the input result.

In order to achieve the above object, an image classification information recording method according to a seventh aspect of the present invention includes a step of taking an image by an imaging unit and converting it into image data, a step of storing the image data in an image storage unit, and the image A step of reproducing and displaying an image representing image data stored in the storage unit on a display unit, and a camera associated with an operation in which a user presents the image based on a posture after shooting in a state where the image is displayed on the display unit A step of detecting a movement of the main body by a motion detection unit, and an image evaluation result in association with image data corresponding to an image displayed on the display unit based on the movement of the camera main body detected by the movement detection unit. Recording information to be represented by the image classification information recording unit.

In order to achieve the above object, an image classification information recording method according to an eighth aspect of the invention is recorded along with image data, and the user can record the image based on the posture after shooting while reproducing and displaying an image based on the image data. A step of classifying the information into the information representing the evaluation result of the image based on information relating to the movement of the camera body associated with the operation of presenting the image;

In order to achieve the above object, a camera according to a ninth aspect of the present invention is directed to an imaging unit for converting a subject image into image data, a display unit that displays an image based on the image data, and the display of the image . Based on the posture after shooting, a motion detection unit that detects the movement of the camera body accompanying the operation of the user presenting the image, and based on the output of the motion detection unit, the information is classified into information representing the evaluation result of the image An image classification unit.

According to the present invention, it is possible to provide a camera and an image classification information recording method capable of classifying whether an image is desired to be shown to others.

Hereinafter, preferred embodiments using a digital camera to which the present invention is applied will be described with reference to the drawings. The digital camera according to the first embodiment of the present invention can record the image data of the subject image acquired by the image sensor on a recording medium in accordance with the operation of the release button. And it has display parts, such as a liquid crystal monitor, which displays this recorded picked-up image. In addition, a motion determination unit that detects camera motion such as an acceleration sensor and an angular velocity sensor is arranged in the digital camera, and a photographer can display a captured image on a display unit for a friend who is next or a friend in front. When the displayed captured image is shown, the motion can be detected by the motion detector.

In the present embodiment, images are classified by detecting this movement. For example, an image shown to a friend or the like after shooting can be estimated to be an image having a high evaluation and a high degree of popularity, and this information is recorded attached to the image data of the shot image. That is, the image is classified and recorded into an image that the person wants to show to a person and an image that does not. Such information is convenient when searching for an image later, and an image desired to be shown to someone can be searched immediately. It is also useful when you have participated in an event and searched for the image taken at that time, and sent it to the people who participated together via the Internet.

Hereinafter, the digital camera according to the first embodiment will be described in detail. FIG. 1 is a block diagram of a digital camera 10 according to the first embodiment of the present invention. Inside the camera 10 are a control unit 1, an imaging unit 2, a lens determination unit 3, a recording unit 4, an audio determination unit 5, an operation determination unit 6, a motion determination unit 7, a display unit 8, a clock unit 9, and a classification unit 11. Is provided.

The control unit 1 is configured by an MPU (Micro Processing Unit) or the like, and is connected to each unit such as the imaging unit 2 to the clock unit 9 described above. The control unit 1 inputs a signal from each unit and outputs a control signal. Control the whole. The imaging unit 2 includes a photographing lens for forming a subject image, photoelectrically converts the subject image formed by the photographing lens, and outputs an image signal.

The lens determination unit 3 detects the zoom position (focal length, zoom magnification) and focus position (subject distance) of the photographic lens, and also determines the focus state for focusing the photographic lens. The recording unit 4 compresses the image data based on the image signal output by the imaging unit 2 and records it on a recording medium. The clock unit 9 is a clock that measures the date and time, and can record this date and time information (time information) when recording the captured image data in the recording unit 4.

The sound determination unit 5 determines sound input from a microphone unit (not shown). The operation determination unit 6 detects the state of operation members such as operation switches and operation dials provided in the camera 10 to determine the operation state. When the user operates the camera, the operation determination unit 6 detects the operation state, and the control unit 1 controls shooting and reproduction according to the result.

The motion determination unit 7 is configured by an acceleration sensor or the like. If the camera's imaging optical system is a Z-axis, for example, a motion around an axis such as an X axis or a Y axis perpendicular to the Z axis, Detect total parallel movement. The motion determination unit 7 may use a camera shake correction sensor. Based on the photographer's movement determined by the movement determination unit 7, the classification unit 11 in the control unit 1 classifies the captured images, and the classification information is recorded in the recording unit 4 together with the image data.

The display unit 8 is provided on the back surface of the camera 10 and displays a subject image as a moving image based on the image data output from the imaging unit 2 and uses it instead of the viewfinder at the time of shooting to determine the composition. can do. Further, the image data recorded on the recording medium of the recording unit 4 is read in accordance with the operation of the playback button and the like, and after being expanded, displayed on the display unit 8. Further, the display unit 8 displays how many people have shown the reproduction display of the captured image. This classification is a classification based on how many people have seen the shot image, and it can be used to determine whether the image can be seen by everyone, enjoyed by the individual, or what kind of reaction has occurred. It becomes possible to do.

As shown in FIG. 1, this reproduction display is shown to an icon 51 indicating that no one has been shown, an icon 52 indicating that it has been shown to one person, an icon 53 indicating that it has been shown to two persons, and three persons. An icon 54 representing this is arranged on the left side of the display unit 8. Then, on the right side of each icon 51 to 54, indicating the number of times that showed each bar 51a, 52a, 53a, at 54a. In the example shown in FIG. 1, the number of times shown to two people is the largest, and then nobody continues to show.

As a result, it can be classified into an image that no one has seen, an image that someone has checked, an image that two people have seen, and an image that three people have seen. We can guess that the image we saw together is an image that everyone can enjoy later. Right side of the display unit 8 is a live view display 55. In addition to the display method shown in FIG. 1, the number of times shown to friends or the like may be modified as appropriate, such as the display method shown in FIG. 9 as described later.

A method of using such a camera 10 is shown in FIGS. The example of Fig.3 (a) is a case where two people are watching the stage. The photographer on the right side takes pictures one after another, and if a good picture can be taken, generally show to a friend sitting next to it. . The example of FIG. 3B is a banquet seat. In this case as well, when a photographer can take a good picture, the photographer first shows a friend or the like sitting nearby. An image that you want to show is a work of conscience.

At this time, how to display the captured image displayed on the display unit 8 of the camera 10 is as follows. That is, FIG. 4A is a diagram in which the photographer is satisfied with looking at the captured image of the camera. If the photograph is a good one, the user wants to look like FIG. 4B. If the movement shown by this arrow is performed, the image can be classified as an image seen by two people. The movement determination unit 7 (see FIG. 1) determines the movement (how the camera 10 is moved). It is presumed that a photograph shown to a person through such a movement is a photograph that remains in the impression that the person wants to touch it even if it is not always a good photograph.

In addition, in a banquet table as shown in FIG. 3B, in addition to a friend sitting next to it, there are cases where it is desirable to show a friend sitting in front as shown in FIG. In this case, as shown in FIG. 7, a movement is detected in which the camera 10 is handed over from the shooting state (changed from the standing position to the horizontal position). That is, like the posture change of the camera 10 shown in FIG. 6, the camera 10 does not move sideways as shown in FIG. Judge the correct movement.

As described above, in this embodiment, when a photographed image is shown to a neighboring friend or the like, the movement is determined. Therefore, the number of movements is counted, and the number of movements is represented by a bar graph as shown in FIG. The display is performed by, for example. In the example of FIG. 1, it can be seen that there are few photographed images shown to three people, that is, images that are enjoyed by three people are not photographed. In such a case, the photographer will try to take a picture that makes the person more happy to see and improve the technique of the photographer. In this case, the color or pattern of the bar graph may be changed to make it stand out.

As described above, the operation of the camera 10 according to the present embodiment for classifying images based on how many people have seen the captured image will be described with reference to the flowchart shown in FIG. When the shooting / playback control flow is entered, live view display is first performed (S1). Here, the subject image acquired by the imaging unit 2 is displayed as a moving image on the display unit 8. Subsequently, the operation determination unit 6 determines whether the release button is operated and shooting is performed (S2). If the result of determination is that there is no shooting operation, processing returns to step S1 and this step is repeated.

If the result of determination in step S2 is shooting, shooting is performed (S3). In this photographing operation, the image data of the subject image acquired by the imaging unit 2 is recorded in the recording unit 4. When the photographing operation is finished, next, the operation determination unit 6 determines whether or not to perform confirmation playback (S4). If the result of determination is that confirmation playback has not been performed, it is determined that there are no checked people (S11). The information regarding the number of persons checked, that is, the movement determined by the movement determination unit 7 is recorded together with the image data as information for classifying the image. Further, the information relating to the movement is used to classify images by the classification unit 11 and displayed on the display unit 8 as shown in FIG.

If the result of determination in step S4 is to perform confirmation playback, the captured image is played back and displayed on the display unit 8 (S5). Then, during this reproduction, the movement determination unit 7 determines the movement of the camera (S6). Here, the movement determination 1 is a predetermined amount of movement as shown in FIG. 4, that is, a state in which the camera 10 is aligned in the vertical direction (the movement of the camera body is smaller than the predetermined amount in the vertical direction). If there is a considerable movement (when the change in the left-right direction is greater than a predetermined amount), it is determined that the neighbor has also seen.

When the determination result of the movement determination 1 in step S6 is No, the movement determination unit 7 determines the movement of the camera (S7). Here, the movement determination 2 is a determination in a case where a photographed image is shown to a friend or the like in front of the photographer as shown in FIG. If the result of the movement determination in step S6 is Yes, movement determination 2 is performed as in step S7 (S8).

One person checked (S12), two people checked (S13), three people checked (S14) based on the combination of the judgment results of movement judgment 1 and movement judgment 2 in steps S6, S7, and S8 Determine. That is, if the neighbor does not check (S6 → No) and the previous person does not check (S7 → No), only the photographer checks, so the single person check (S12). .

If the neighbor does not check (S6 → No) and the previous person checks (S7 → Yes), or the neighbor checks (S6 → Yes), the previous person does not check (S8). In the case of (No), since the photographer checks with either one of the neighbor and the previous person, the two-person check (S13).

Furthermore, if the neighbor checks (S6 → Yes) and the previous person also checks (S8 → Yes), the next person and the previous person and the photographer check the three people. It becomes a check (S14). The number of persons checked is not limited to this algorithm, and there are various methods. In this embodiment, the maximum number of persons is three. However, the number of persons is not limited to this, and four or more persons can be determined. It may be. In this case, it is only necessary to count up each time the movement determination 1 or the movement determination 2 determines (see the second embodiment).

As described above, in the first embodiment of the present invention, it is determined whether or not the photograph is desired to be shown by determining the movement of the camera 10 based on the posture after shooting, and thereby classifying the shot image. . Based on this classification result, if the number of times (number of people) is displayed on the display unit 8 or the like, it can be easily determined whether or not a photographed image that can be seen by others is being photographed. Further, it is possible to easily search for a highly popular image that can be shown to others. That is, as the number of people checked (number of times) increases, it is estimated that the image has a higher degree of popularity. Therefore, an image with a higher degree of popularity can be obtained by searching for an image with a higher number of checks.

Next, a second embodiment of the present invention will be described with reference to FIGS. In the first embodiment, even if a failed photograph is shown to another person, it is determined that the photograph may be wrong. Therefore, in the second embodiment, the voice of the reaction when it is shown to other people is detected, and a positive expression such as “Oh, good” or “Wow, funny” is recognized by voice, and the determination is made. To help. Moreover, since the person who looks at the camera 10 performs angle adjustment as shown in FIG. 6 in order to make the display of the camera 10 easy to see, this angle adjustment is also used as a determination material. Further, the number of people shown is not limited to three as in the first embodiment, and the number N of people seen can be counted.

Since the configuration of the camera 10 according to the present embodiment is the same as that of the camera 10 according to the first embodiment, detailed description will be omitted, and differences will be mainly described. FIG. 8 is a flowchart of the shooting / playback control of the camera 10 according to the second embodiment. Upon entering this flow, live view display is performed as in step S1 (S21), and shooting operation is performed as in step S2. It is determined whether or not (S22). As a result of the determination, if it is not a shooting operation, the process returns to step S21. On the other hand, if it is a shooting operation, shooting is performed as in step S3 (S23).

When the shooting operation is finished, the motion determination unit 7 is reset so that the posture and position of the camera 10 at the time of shooting become the origin (S24). And the picked-up image image | photographed by step S23 is displayed on the display part 8 (S25). Subsequently, the number of people to check is reset (N = 0) (S26).

Next, the motion determination unit 7 determines whether or not the photographed image check operation has been performed, that is, as illustrated in FIG. 6, whether or not the photographer has defeated the camera 10 and performed the image check operation. (S27). As a result of the determination, if there is a check operation, the number N of viewers is incremented (S28).

Subsequently, the movement determination 1 is determined in the same manner as in Step 6 (S31). This movement determination 1 is detection of the movement of the parallel movement as shown in FIG. If the determination result of the movement determination 1 is Yes, it is determined whether or not a check operation has been performed (S32). This check operation is determined based on whether or not the angle is adjusted so that the display unit 8 composed of a liquid crystal monitor or the like can be easily seen. If the check operation is Yes, the sound determination unit 5 performs sound determination on the sound input to the camera body using a known sound determination technique (S33). In this voice determination, it is determined whether or not there is a positive signal, for example, whether or not there is a word indicating an evaluation such as “It is a good photo”.

When these determinations are passed with Yes, the number of people checked is incremented (S34). On the other hand, if any of the determinations in steps S31 to S33 is No, the process jumps to step S35.

Next, similarly to steps S7 and S8, determination of movement determination 2 is performed (S35). This movement determination 2 is to determine whether or not the camera 10 moves as shown in FIG. If the movement determination 2 is Yes, it is next determined whether or not there has been an angle adjustment for making the liquid crystal display or the like easier to see as in Step S32 (S36). Similar to S33, voice determination is performed (S37). When step S35 thru | or step S37 is passed by Yes, the number of people who checked is incremented (S38). The information regarding the number of persons checked, that is, the movement determined by the movement determination unit 7 is recorded together with the image data as information for classifying the image. Further, the information relating to the movement is used to classify the image by the classification unit 11 and displayed on the display unit 8 as shown in FIG.

Subsequently, it is determined whether or not the movement has been detected by the movement determination 1 and the movement determination 2 (S40). If there is a movement, the process returns to step S31 and the above steps are repeated. On the other hand, if the movement is not detected as a result of the determination, it is determined whether a predetermined time has elapsed since the detection (S41). If the predetermined time has not elapsed, the process returns to step S31, and the above-described steps repeat. If the predetermined time has passed as a result of the determination, the reproduction display on the display unit 8 is terminated (S42).

As described above, the movement determining operation is continued until the movement is not determined and the reproduction is finished (S40 → S42). For this reason, every time the camera 10 is turned to various people, the value is counted up and the value of the image is determined. If motion detection is not performed for a predetermined time, this determination operation ends.

As described above, in the flow of the present embodiment, the images are classified according to a predetermined standard, and according to this classification, the image file storing the data of each image and the accompanying data is similar to the shooting date, etc. Process so that information about the number of viewers can be recorded together. As this information, for example, as shown in FIG. 9C, the table data that lists what information each image has may be included. In addition, a frequently seen image (image data of image No. 2 in the example of FIG. 9C) is classified as a separate file in a separate folder, and when only a popular image is viewed, only that folder is reproduced. You may do it.

In steps S28, S34, and S38, the counted number of checkers is used when determining and displaying which image is popular, as shown in FIG. 9A. In other words, since the camera 10 is rotated one after another and popular people view popular images, the count N indicating the number of checkers is increased and the numerical value is increased. The number of checks N is displayed on the display unit 8 of the camera 10 (in the example of FIG. 9A, the number of times is displayed with an asterisk).

In FIG. 9A, the number of checks N is displayed for each image. However, the display method is not limited to this, and the images may be rearranged in order of popularity as shown in FIG. 9B. . By this display, it is possible to know an image having a high degree of popularity at a glance, and it can be used as a reference when selecting an image when transmitting the image over the Internet. In other words, in collaboration with the image server, only popular items can be uploaded, and only high-quality content can be made public.

As described above, in the second embodiment of the present invention, not only the movement determination is performed, but also the operation in the display unit 8 (the check operation in S32 and S36) occurring at that time, The most popular image is determined with reference to the voice to be spoken. For this reason, it is possible to perform image evaluation with higher accuracy than simple movement. In addition, since the movement to the photographer side is detected for the image check by the photographer himself (S27), highly accurate detection can be performed.

In this embodiment, when displaying the image classification result, the evaluation result for each image is shown (example in FIG. 9A), or the image for each evaluation result is displayed (FIG. 9B). For example, it is very easy to see and is a reference when taking a popular image. Furthermore, if displayed as a list (example in FIG. 9C), it is easy to grasp the entire captured image.

The number N is incremented only when any of the movement determination 1 (S31), the check operation (S32), and the sound determination (S33) is Yes, but only one of the check operation and the sound determination is performed. If N is Yes, the number N may be incremented. The same applies to step S35 to step S38.

Next, the motion detection sensor used in the motion determination unit 7 used in the first embodiment and the second embodiment of the present invention and in the third embodiment described later will be described with reference to FIGS. I will explain.

FIG. 10A shows an example of the acceleration sensor 60, which is composed of a cross-linked metal part 61 and a metal part 62 provided on the chip surface. When acceleration is applied to the acceleration sensor 60 along the direction of the arrow 63 in FIG. 10A, the distance between the metal part 61 and the metal part 62 changes, and thus the capacitance changes. The output changes as in 10 (b). This output is integrated (see FIG. 10C), the speed is obtained, and further integrated (see FIG. 10D) to obtain the movement amount. Based on the output of the acceleration sensor shown in FIG. 10, the movement determination 1 in step S6 and step S31 can be performed.

FIG. 11 shows an example of the angular velocity sensor 68. When a pair of piezoelectric ceramic elements 67 is vibrated in the vibration direction 64 shown in FIG. 11A and a rotational force is applied to the sensor at an angular velocity 65 as shown in this state, a Coriolis force 66 is generated. The piezoelectric ceramic element 67 is deformed and a voltage is generated. By integrating this voltage (see FIG. 11B), the rotation amount can be obtained, and based on this, the movement determination 2 in step S7, step S8, and step 35 can be performed.

Therefore, an acceleration sensor 60 as shown in FIG. 10 and an angular velocity sensor 68 as shown in FIG. 11 are arranged in the camera 10 as shown in FIG. The acceleration sensor 60 can detect movement in the acceleration direction 63 (lateral slide (movement determination 1)), and the angular velocity sensor 68 can detect movement around the angular velocity 65 (tilt back and forth (movement determination 2)). it can. Based on the detection result, it is possible to determine how the camera 10 has moved when viewing the reproduction screen and whether a check operation for changing the tilt of the display unit 8 has been performed.

Next, a third embodiment of the present invention will be described with reference to FIGS. In the first and second embodiments, the image is automatically evaluated based on the result of the movement determination or the like. However, in the third embodiment, a questionnaire is further provided to the photographer and the person who viewed the photographed image. So that they can directly reflect their opinions.

Since the configuration of the camera 10 according to the present embodiment is the same as that of the camera 10 according to the first embodiment, detailed description will be omitted, and differences will be mainly described. FIG. 13 is a flowchart of shooting / playback control of the camera 10 according to the third embodiment. Steps S21 to S28 are the same as the flow of FIG. 8 in the second embodiment, and thus detailed description thereof is omitted.

When the increment in step S28 is completed, a movement determination is subsequently performed (S41). The movement determination here is either or both of the movement determination 1 and the movement determination 2 described above. As a result of the determination, as shown in FIG. 14, as shown in FIG. 14, a questionnaire display 71 of “How?” Is displayed on the display unit 8 so that the opinions and impressions of the viewer can be taken (S42).

Then, operation determination is performed about the operation state of the operation members 6a and 6b (S43). That is, a person who sees the photographed image displayed on the display unit 8 operates the operation member 6a, and a person who does not agree operates the operation member 6b. Therefore, this operation state is determined. As a result of the determination, when the operation member 6a is operated, the number of checks N is incremented (added). On the other hand, when the operation member 6b is operated without approval, the number of checks N is decremented ( Subtract) (S44). Information regarding the number of checks N, that is, the motion determined by the motion determination unit 7 is recorded together with the image data as information for classifying the images. Further, the information related to the movement is used to classify the image by the classification unit 11 and displayed on the display unit 8 in the same manner as in the first and second embodiments.

When the series of processing from step S41 to step S44 is finished, it is subsequently determined whether or not the reproduction of the image is finished (S45). If not completed, the process returns to step S41, and the above steps are repeated. If completed, the process returns to the original routine.

According to this embodiment, a popular image and an image that is not so can be further determined. Of course, it is needless to say that it is possible to ask by voice instead of "how?" In this way, since the display and utterance are made only when there is a movement to show to the person, the user is not confused by unnecessary display or voice output. With such a display, many people can enjoy the image.

As described above, according to the first to third embodiments of the present invention, the movement of the camera when displaying the captured image is detected, and the detection result is used as information for image classification together with the image. It is recorded. Since the evaluation of the photographed image is recorded according to the movement of the photographer and the person viewing the photographed image in the surroundings, it is very convenient when performing image classification and searching for images.

In addition, according to the embodiment of the present invention, images are classified based on information for image classification, and the classification result is displayed. It is possible to easily search for images with

In the embodiment of the present invention, the movement of the camera body is detected in the camera body, this information is recorded, the image is classified based on the detection result, and the result is displayed. However, the camera may only record information. In this case, image classification may be performed in a personal computer or an external server using the motion information recorded together with the image data.

Furthermore, although each embodiment of the present invention has been described using a digital camera, the camera may be a digital single lens reflex camera or a compact digital camera, a mobile phone, a personal digital assistant (PDA Personal Digital Assist), or the like. Of course, a built-in camera may be used.

The present invention is not limited to the above-described embodiments as they are, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of components disclosed in the embodiment. For example, you may delete some components of all the components shown by embodiment. Furthermore, constituent elements over different embodiments may be appropriately combined.

It is a figure which shows the outline | summary of the camera concerning 1st Embodiment of this invention. It is a flowchart which shows imaging | photography / reproduction | regeneration control in the camera concerning 1st Embodiment of this invention. It is a figure which shows the use condition of the camera concerning 1st Embodiment of this invention, (a) is a case where two people are watching the stage, (b) is the usage method in a banquet etc. seat. It is shown. It is a figure which shows the use condition of the camera concerning 1st Embodiment of this invention, (a) is a figure where the photographer sees the image | photographed image of a camera and is satisfied, (b) is an adjacent figure. It is a figure which shows the state which is showing the image to the person. It is a figure which shows the use condition of the camera concerning 1st Embodiment of this invention, and is a figure which shows the state shown also to the friend sitting in front. It is a figure which shows a motion in the case of handing over the camera concerning 1st Embodiment of this invention to the person sitting in front. It is a figure which shows the use condition of the camera concerning 1st Embodiment of this invention, (a) is a figure where the photographer sees the image | photographed image of a camera and is satisfied, (b) is before It is a figure which shows the state which is showing the image to the person who is. It is a flowchart which shows imaging | photography / reproduction | regeneration control in the camera concerning 2nd Embodiment of this invention. In the camera concerning 2nd Embodiment of this invention, it is a figure which shows the display of the result of an image classification, (a) shows the number of people who looked for every image, (b) shows the image for every seen person. (C) is displayed as a list. It is a figure which shows the sensor for a motion detection used in 1st Embodiment thru | or 3rd Embodiment of this invention, (a) is a figure which shows the structure of an acceleration sensor, (b) is an output change of an acceleration sensor. (C) is an integrated value of the output of an acceleration sensor, (d) is a figure which shows the change of the integrated value which further integrated the integrated value of (c). It is a figure which shows the sensor for a motion detection used in 1st Embodiment thru | or 3rd Embodiment of this invention, (a) is a figure which shows the structure of an angular velocity sensor, (b) The output of the angular velocity sensor was integrated. It is a figure which shows the change of an integral value. It is a figure which shows the state which incorporated the sensor for a motion detection used in 1st Embodiment thru | or 3rd Embodiment of this invention into the camera. It is a flowchart which shows imaging | photography / reproduction | regeneration control in the camera concerning 3rd Embodiment of this invention. It is a rear view of the camera concerning 3rd Embodiment of this invention, and the state in which the image is displayed on the display part 8 is shown.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Control part, 2 ... Imaging part, 3 ... Lens determination part, 4 ... Recording part, 5 ... Audio | voice determination part, 6 ... Operation determination part, 6a ... Operation Member, 6b ... operation member, 7 ... movement determination part, 8 ... display part, 9 ... clock part, 10 ... camera, 11 ... classification part, 51 ... Icon (for 0 person), 52 ... Icon (for 1 person), 53 ... Icon (for 2 persons), 54 ... Icon (for 3 persons), 55 ... Live view display, 60 ... Accelerometer 61, metal part, 62 ... metal part, 63 ... direction of acceleration, 64 ... direction of vibration, 65 ... angular velocity, 66 ... Coriolis force, 67 ..Piezoelectric ceramic elements, 68 ... Angular velocity sensor, 71 ... Questionnaire display

Claims (9)

An imaging unit that captures an image and converts it into image data;
An image storage unit for storing the image data;
A display unit for reproducing and displaying an image representing the image data stored in the image storage unit;
In a state where an image is displayed on the display unit, a motion detection unit that detects a motion of the camera body accompanying an operation in which the user presents the image based on a posture after shooting ;
An image classification information recording unit that records information representing an evaluation result of an image in association with image data corresponding to an image displayed on the display unit based on the movement of the camera body detected by the motion detection unit;
A camera characterized by comprising   When the motion detection unit detects that the movement of the camera body is smaller than a predetermined amount in the vertical direction and the change in the left-right direction is larger than the predetermined amount while displaying a predetermined image on the display unit, The image classification information recording unit records information representing the popularity of the predetermined image displayed on the display unit in association with the image displayed on the display unit. Item 14. The camera according to Item 1.   The information indicating the degree of popularity recorded by the image classification information recording unit is such that the motion detection unit displays a predetermined image on the display unit, and the movement of the camera body is smaller than a predetermined amount in the vertical direction. 3. The camera according to claim 2, wherein the degree of popularity is higher as the number of times that the change in the left-right direction is larger than a predetermined amount is increased.   The camera according to claim 1, further comprising an image classifying unit that classifies using information for classifying the image.   Furthermore, it has an audio | voice determination part which determines whether it is positive with respect to an image by inputting an audio | voice, and the said image classification | category part is the said audio | voice determination part in addition to the motion of the said camera main body by the said motion detection part. The camera according to claim 1, wherein image classification is performed using a determination result obtained by the method.   The camera according to claim 1, further comprising a manual operation member for inputting an evaluation on the image displayed on the display unit, and using an input result of the image classification unit and the manual operation member. Capturing an image by the imaging unit and converting it to image data;
Storing the image data in an image storage unit;
Replaying and displaying an image representing image data stored in the image storage unit on a display unit;
In a state where an image is displayed on the display unit, a motion detection unit detects a movement of the camera body accompanying an operation in which a user presents the image based on a posture after shooting ;
Recording information representing an image evaluation result in association with image data corresponding to the image displayed on the display unit based on the movement of the camera body detected by the motion detection unit by the image classification information recording unit; ,
An image classification information recording method comprising: The image is recorded along with the image data, and the image based on the information about the movement of the camera body accompanying the operation of the user presenting the image based on the posture after shooting during the reproduction and display of the image based on the image data. Categorizing into information representing the evaluation results of
Displaying a classification result in the image classification step;
An image classification information recording method comprising: An imaging unit for converting a subject image into image data;
A display unit for displaying an image based on the image data;
While displaying the image, a motion detection unit that detects the motion of the camera body accompanying the operation of the user presenting the image based on the posture after shooting ,
An image classifying unit that classifies information representing the evaluation result of the image based on the output of the motion detecting unit;
A camera characterized by comprising