JP6489733B2 - Image output apparatus, image output method, and program - Google Patents

Description

  The present invention relates to an image output apparatus that changes received images and outputs them in a comparable manner.

  Conventionally, moving image editing software or the like having a function of extracting two or more frames of a moving image as an image and outputting the image as a list has been developed (see Non-Patent Document 1).

“FFmpeg”, [online], ffmpeg.org, [Search April 18, 2013], Internet [URL; http://ffmpeg.org/]

  In conventional video editing software, for example, two or more images that show the same person or building in different scenes in the video, such as brightness and size of two or more images that you want to compare automatically change However, it was not possible to output in a mode that was easy to compare.

  The image output device according to the first aspect of the present invention is an image corresponding to each of one or more input images of a reception unit that receives two or more input images that are two or more different images, and two or more input images, A changed image acquisition unit that acquires one or more changed images that are images obtained by changing image attribute values that are attribute values of one or more input images, one or more changed images acquired by the changed image acquisition unit, and one or more changed images An image output apparatus comprising: one or more input images that are not input images corresponding to each changed image; or an output unit that outputs in a manner in which two or more changed images acquired by the changed image acquisition unit can be compared.

  With such a configuration, it is possible to easily compare two or more images to be compared by automatically changing attribute values and outputting them in a comparable manner.

  Further, in the image output device of the second invention, in contrast to the first invention, the modified image acquisition unit selects one input image from two or more input images, and stores the remaining one or more input images. One or more changed images obtained by changing the image attribute value so as to approach or move away from the image attribute value of one selected input image are acquired, and the output unit selects one input image and changed image selected by the changed image acquiring unit. It is an image output device that outputs one or more change images acquired by an acquisition unit in a manner that allows comparison.

  With such a configuration, it is easy to compare two or more images to be compared by automatically changing the attribute value so as to approach or move away from the attribute value of the reference image and outputting it in a comparable manner. Can be.

  The image output apparatus according to the third aspect of the present invention further includes an attribute value condition storage unit that stores one or more attribute value conditions that are conditions relating to image attribute values, as compared with the first aspect of the invention. The unit acquires two or more changed images obtained by changing the image attribute values of two or more input images so as to satisfy one or more attribute value conditions, and the output unit acquires two or more acquired images by the changed image acquiring unit. An image output apparatus that outputs a modified image in a comparable manner.

  With such a configuration, it is possible to easily compare two or more images to be compared by automatically changing attribute values so as to satisfy a predetermined condition and outputting them in a comparable manner.

  The image output apparatus according to the fourth aspect of the present invention, in comparison with any one of the first to third aspects, outputs two or more images continuously at predetermined positions. This is an image output apparatus.

  With such a configuration, it is possible to easily compare two or more images to be compared by continuously outputting.

  The image output device according to the fifth aspect of the present invention is an image output device in which, compared to any one of the first to third inventions, a comparable aspect is to output two or more images on the same screen. It is.

  With such a configuration, it is possible to easily compare two or more images to be compared by outputting them on the same screen.

  Further, in the image output device according to the sixth aspect of the present invention, with respect to any one of the first to fifth aspects, the changed image acquisition unit includes 2 for each one or more of the two or more input images. This is an image output device that acquires two or more changed images obtained by changing each kind of image attribute value.

  With such a configuration, it is possible to easily compare two or more images to be compared by automatically changing two or more types of attribute values.

  The image output device according to the seventh aspect of the present invention provides the image attribute values for size, resolution, brightness, contrast, tone, color, color temperature, color deviation, This is an image output device that is at least one of an angle, a display position, a display time, and a display range.

  By such a configuration, by changing one or more attribute values of size, resolution, brightness, contrast, tone, color, color temperature, color deviation, angle, display position, display time, display range, It is possible to easily compare two or more images to be compared.

  According to the image output device or the like according to the present invention, it is possible to easily compare two or more images to be compared by automatically changing attribute values and outputting them in a comparable manner.

Block diagram of image output apparatus 1 according to Embodiment 1 A flowchart for explaining the overall operation of the image output apparatus 1 Flowchart explaining acquisition of changed image by same absolute changing method Diagram showing an example of the relative change condition The figure which shows the example of the input image The figure which shows the example of the input image The figure which shows the example of the same change picture The figure which shows the output example of the change image Diagram showing an example of the same attribute value condition The figure which shows the output example of the change image Overview of the computer system in the above embodiment Block diagram of a computer system in the above embodiment

  Embodiments of an image output apparatus and the like according to the present invention will be described below with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again. In addition, the format, content, and the like of each information described in this embodiment are merely examples, and the format, content, and the like are not limited as long as the meaning of each information can be indicated.

(Embodiment 1)
In the present embodiment, an image output apparatus 1 that changes one or more of two or more received images and outputs the changed one or two or more images in a comparable manner will be described.

  FIG. 1 is a block diagram of an image output apparatus 1 according to the present embodiment. The image output apparatus 1 includes an attribute value condition storage unit 11, a reception unit 12, a changed image acquisition unit 13, and an output unit 14.

  The attribute value condition storage unit 11 stores one or more attribute value conditions. The attribute value condition is a condition related to an image attribute value that is an attribute value of an image. The image is usually a still image. The image attribute value may include, for example, a so-called feature amount.

  The image attribute value is, for example, size, resolution, luminance, contrast, color tone, color, color temperature, color deviation, angle, display position, display time, display range, and the like. The size is usually the horizontal width and vertical width of the image. The size may be, for example, the area of the image. The luminance is usually an average of one or more luminance values of one or more pixels constituting an image. The luminance may be, for example, a ratio between the minimum luminance value and the maximum luminance value among the luminance values of one or more pixels constituting the image. The color temperature may be so-called white balance, for example. Further, the angle is usually an angle with respect to the horizontal direction of the subject (object) shown in the image. Further, the angle may be, for example, an angle with respect to the vertical direction of the subject in the image. The display position is, for example, the position of the image on the device or screen where the image is output. The display position is usually indicated by coordinates. The display position is usually a position corresponding to any one of one or more pixels constituting the image. The pixel is, for example, a pixel at the center of the image or a pixel on the contour line of the image. In addition, the display time is, for example, a time for outputting an image. The display range is, for example, an area in the output image. The display range is usually indicated by coordinates. The shape of the display range is not limited.

  In addition, the image attribute value can change the so-called image color in image editing software such as GIMP (http://www.gimp.org/) and Photoscape (http://www.photoscape.org/), for example. For example, various parameters may be set.

  The attribute value condition storage unit 11 is preferably a non-volatile recording medium, but can also be realized by a volatile recording medium. Moreover, the process in which predetermined information is memorize | stored in the attribute value condition storage part 11 does not ask | require. For example, the predetermined information may be stored in the attribute value condition storage unit 11 via a recording medium, a communication line, an input device, or the like.

  The accepting unit 12 accepts two or more input images. The input image is a still image. In addition, the two or more input images are usually different. “Different” usually means that image attribute values such as size and brightness, the subject in the image, the composition of the subject, and the like are different. Further, the input image may be, for example, an image included in a moving image. The image that the moving image has is a so-called frame. That is, the reception unit 12 only needs to be able to receive two or more images as a result, and the mode in which the two or more images are received does not matter. Moreover, it is preferable that the reception unit 12 receives, for example, two or more images selected from two or more images included in one moving image as an input image by the user.

  In addition, input image reception is usually reception using communication means or broadcast reception means, but acquisition of information stored in a recording medium such as an optical disk, magnetic disk, semiconductor memory, scanner, camera, etc. It is a concept including acquisition of an image input from an input device.

  In addition, the reception unit 12 may receive an image selection instruction, for example. The image selection instruction is an instruction to select one or more input images from two or more input images, and is usually an instruction from the user. Further, the image selection instruction has, for example, an image identifier for identifying an image. The reception of the image selection instruction is a concept that usually includes acquisition of information input from an input device such as a touch panel or a keyboard. Further, the image selection instruction input means may be anything such as a menu screen or an input device such as a keyboard or a mouse.

  The accepting unit 12 can be realized by, for example, a communication unit, a broadcast receiving unit, control software for a menu screen, a device driver for an input unit such as a keyboard.

  The changed image acquisition unit 13 acquires one or more changed images. The changed image is an image obtained by changing the image attribute value of the input image. That is, “acquiring a changed image” is creating a changed image using an input image. For example, the modified image acquisition unit 13 may create a modified image separately from the input image, or may create the modified image by changing the input image to the modified image. One or more changed images usually correspond to one or more input images. Moreover, the changed image acquisition part 13 acquires one or more changed images normally, in order to make the comparison of two or more input images easy. That is, the user normally does not directly compare two or more input images, but indirectly compares two or more input images via one or more changed images.

Further, the changed image acquisition unit 13 changes the image attribute value of the input image by one of the following methods, for example, and acquires one or more changed images.
(A) Relative change method (B) Absolute change method

  (A) Relative change method: This method is a method of acquiring a changed image by relatively changing the image attribute value of the input image. “Relatively change” is to change the change target attribute value that is the image attribute value of the change target image based on the reference attribute value that is the image attribute value of the reference image. The “reference image” is an input image serving as a reference when changing an image attribute value among two or more input images. The “reference image” is usually one or more input images of two or more input images. The “1 or more” is usually “1”. The “change target image” is an input image that is a target for changing an image attribute value among two or more input images. The “change target image” is usually one or more input images other than the reference image among the two or more input images. “Change based on” is to change the reference attribute value so as to be closer to or further away from the reference attribute value.

  “Change so that it approaches” is to change the change target attribute value so that the difference from the reference attribute value becomes smaller as a predetermined condition (hereinafter referred to as a relative change condition) is satisfied. Further, “changing away” means changing the change target attribute value so that the difference from the reference attribute value increases as the relative change condition is satisfied. That is, whether or not the change target attribute value is close to or away from the reference attribute value is usually indicated by the relative change condition. The type of change target attribute value is usually indicated by the relative change condition.

  Here, the relative change condition is a condition relating to a difference between the reference attribute value and the change target attribute value. Hereinafter, the “difference” is appropriately referred to as an attribute value difference. The relative change condition is, for example, that the attribute value difference is “0”, the attribute value difference is equal to or smaller than a predetermined threshold, the attribute value difference is equal to or larger than a predetermined threshold, Is less than a predetermined threshold, and the attribute value difference exceeds a predetermined threshold. In addition, the changed image acquisition unit 13 normally holds the relative change condition.

  For example, it is assumed that the relative change condition is “(horizontal width difference ≦ 20) or (vertical width difference ≦ 20)”. The relative change condition means that the difference between the horizontal width of the reference image and the horizontal width of the change target image is 20 or less, or the difference between the vertical width of the reference image and the vertical width of the change target image is 20 or less. In such a case, the changed image acquisition unit 13 changes the horizontal width or vertical width of the change target image so that the difference between the horizontal width and the vertical width is 20 or less.

  For example, it is assumed that the relative change condition is “luminance difference ≦ 10”. The relative change condition means that the difference between the luminance of the reference image and the luminance of the change target image is 10 or less. In such a case, the changed image acquisition unit 13 changes the brightness of the change target image so that the brightness difference is 10 or less.

  In the case of the method (A), the changed image acquisition unit 13 specifically selects one reference image from two or more input images. Then, the changed image acquisition unit 13 changes the image attribute value of the change target image which is the remaining one or more input images so as to approach or move away from the image attribute value of the selected reference image. At this time, the changed image acquisition unit 13 determines whether the difference between the reference attribute value and the change target attribute value satisfies the relative change condition, for example. Then, the changed image acquisition unit 13 changes the image attribute value of the input image whose difference from the reference attribute value does not satisfy the relative change condition so as to satisfy the relative change condition. Then, the changed image acquisition unit 13 acquires one or more changed images corresponding to the one or more input images.

  The method for selecting the one input image is not limited. The selection method includes, for example, selecting an input image first received by the receiving unit 12, selecting at random, or selecting an input image that satisfies a predetermined condition. Further, the number of input images to be selected may be one or more, for example.

  In the case of the method (A), the changed image acquisition unit 13 may change the change target attribute value based on the difference between the reference attribute value and the change target attribute value and acquire the changed image, for example. Any method or procedure for the change may be used.

  (B) Absolute change method: This method is a method of absolutely changing an image attribute value of an input image and acquiring a changed image. “Absolutely changing” means changing the image attribute value of the input image so as to satisfy the attribute value condition.

  For example, it is assumed that the attribute value condition indicates a range of image attribute values. In this case, for example, when the image attribute value of the input image is less than the lower limit value of the attribute value condition, the changed image acquisition unit 13 changes, for example, the image attribute value of the input image to the lower limit value. In this case, for example, when the image attribute value of the input image exceeds the upper limit value of the attribute value condition, the changed image acquisition unit 13 changes, for example, the image attribute value of the input image to the upper limit value. Then, the changed image acquisition unit 13 acquires an input image whose image attribute value has been changed as a changed image.

  In the case of the method (B), for example, when the image attribute value of the input image does not satisfy the attribute value condition, the changed image acquisition unit 13 sets the image attribute value of the input image to satisfy the attribute value condition. It may be changed as follows. In this case, the changed image acquisition unit 13 normally acquires one or more types of image attribute values from the input image. Then, the changed image acquisition unit 13 determines whether the acquired one or more types of image attribute values satisfy one or more attribute value conditions. At this time, the changed image acquisition unit 13 determines, for example, whether or not the image attribute value satisfies an attribute value condition related to an image attribute value of the same type as the type of the image attribute value. Then, the changed image acquisition unit 13 changes the image attribute value of the type determined not to satisfy the attribute value condition so as to satisfy the attribute value condition.

  The size of the image is usually the horizontal width and vertical width of the image. Therefore, for the attribute value condition related to the image size, the changed image acquisition unit 13 normally has the attribute that the image size is an attribute related to the image size when both the horizontal width and the vertical width of the image satisfy the attribute value condition related to the image size. It is determined that the value condition is satisfied.

  For example, assume that the size of the image is “800 × 600”. For example, it is assumed that the attribute value condition is “(1024 × 600) ≦ size ≦ (1600 × 1200)”. In this case, the horizontal width “800” of the image does not satisfy the horizontal width condition in the attribute value condition. Therefore, in such a case, the changed image acquisition unit 13 determines that the image attribute value does not satisfy the attribute value condition. For example, assume that the size of the image is “1280 × 800”. In this case, both the horizontal width “1280” and the vertical width “800” of the image satisfy the horizontal width condition and the vertical width condition in the attribute value condition. Therefore, in such a case, the changed image acquisition unit 13 determines that the image attribute value satisfies the attribute value condition.

  In the case of the method (B), the changed image acquisition unit 13 normally changes the image attribute values of all the two or more input images so as to satisfy one or more attribute value conditions. Then, the changed image acquisition unit 13 acquires two or more changed images corresponding to the two or more input images.

  In the case of the method (B), for example, the changed image acquisition unit 13 may change the image attribute value of the input image so as to satisfy the attribute value condition and acquire the changed image. There is no limitation on the procedures and procedures.

  In the acquisition of the changed images (A) and (B), the changed image acquisition unit 13 may change, for example, two or more types of image attribute values for one input image. In this case, the modified image acquisition unit 13 acquires two or more modified images for each input image.

  Further, in the acquisition of the changed images (A) and (B), when changing the size of the image, the changed image acquisition unit 13 normally changes the size of the input image while maintaining the aspect ratio. In this case, the changed image acquisition unit 13 may change the size of the input image without maintaining the aspect ratio, for example.

  Since a method and procedure for acquiring one or more types of image attribute values and a method and procedure for changing one or more types of image attribute values are well known, detailed description thereof will be omitted.

  The changed image acquisition unit 13 can usually be realized by an MPU, a memory, or the like. The processing procedure of the changed image acquisition unit 13 and the like is usually realized by software, and the software is recorded on a recording medium such as a ROM. The changed image acquisition unit 13 and the like may be realized by hardware (dedicated circuit).

  The output unit 14 outputs two or more output target images according to the result of the change image acquisition unit 13 acquiring the change image. The two or more output target images are usually one or more input images and one or more changed images, or two or more changed images. Further, the correspondence between the “result of obtaining the changed image” and two or more output target images that are output according to the result is, for example, (A) or (B) below.

  (A) When the changed image acquisition unit 13 acquires one or more changed images corresponding to each of one or more input images of the two or more input images: In this case, in other words, the changed image acquisition unit 13 This is a case where changed images corresponding to some of the two or more input images are acquired. In this case, the output target images are the one or more changed images and one or more input images that are not input images corresponding to the one or more changed images. Therefore, in this case, the output unit 14 outputs the one or more changed images and one or more input images that are not input images corresponding to the one or more changed images.

  The “one or more input images that are not input images corresponding to one or more change images” is, for example, one or more input images selected by the change image acquisition unit 13 from two or more input images. It is. The “1 or more” is usually “1”.

  (B) When the modified image acquisition unit 13 acquires two or more modified images corresponding to two or more input images: In this case, in other words, the modified image acquisition unit 13 selects all the two or more input images. This is a case where a modified image corresponding to is acquired. In this case, the output target images are the two or more changed images. Therefore, in this case, the output unit 14 outputs the two or more changed images.

The output unit 14 outputs the two or more output target images in a comparable manner. The “comparable aspect” is, for example, any one of the following aspects.
(C) Output continuously (D) Output to the same screen

  (C) To output continuously is to output two or more output target images one by one in a predetermined order and at a predetermined position. “Output one at a time” means outputting so that two or more output target images are not output at the same time. That is, at a certain time, the output unit 14 normally outputs one output target image.

  The “predetermined order” is usually the order in which the receiving unit 12 receives two or more input images corresponding to two or more output target images. The “predetermined order” is, for example, an order sorted based on the size or capacity of the output target image, an order selected at random, or the like.

  For example, it is assumed that the output target images are A, B, and C, and the output order of the three output target images is the order of A, B, and C. In such a case, the output unit 14 outputs the three output target images in the order of A, B, and C. In addition, it is assumed that the result of sorting the three output target images in the order of high luminance is B, C, and A. In such a case, the output unit 14 outputs the three output target images in the order of B, C, and A. Further, the continuous output may be repeated once or more, for example.

  The “predetermined position” is usually the same in two or more output target images. Further, the “predetermined position” may be different for each of two or more output target images, for example.

  (D) To output to the same screen is usually to output so that two or more output target images are simultaneously output on the same screen. That is, at a certain time, the output unit 14 normally outputs two or more output target images. In addition, it is preferable that the output unit 14 normally outputs so that two or more output target images are output at a certain time.

  For example, it is assumed that the output target images are A, B, and C, and the output order of the three output target images is the order of A, B, and C. In such a case, for example, the output unit 14 outputs the three output target images at the same time. In such a case, for example, the output unit 14 first outputs an output target image of A. Then, the output unit 14 outputs the output target image B while the output target image A is being output. Finally, the output unit 14 outputs the C output target image in a state where the A and B output target images are output.

  In the case of (D), the output unit 14 normally outputs two or more output target images according to a predetermined format. The content of the “predetermined style” is not limited. The “predetermined format” may be, for example, one arranged in one or more rows horizontally or vertically, or may be in a lattice shape.

  In the outputs (C) and (D), the output unit 14 outputs two or more outputs based on the display position, display time, and display range among the image attribute values of two or more output target images. A target image may be output. For example, the output unit 14 outputs the output target image at a position indicated by the display position in the output area. Further, the output unit 14 outputs the output target image, for example, during the time indicated by the display time. Further, the output unit 14 outputs, for example, an output target image in a portion of an area indicated by the display range in the output target image.

  Also, output refers to display on a display, projection using a projector, printing with a printer, sound output, transmission to an external device, accumulation in a recording medium, processing to other processing devices or other programs, etc. It is a concept that includes delivery of results. In addition, regarding transmission, accumulation, and delivery of processing results, an output target is finally presented to the user.

  The output unit 14 may or may not include an output device such as a display or a speaker. The output unit 14 can be realized by driver software of an output device or driver software of an output device and an output device.

  Next, the overall operation of the image output apparatus 1 will be described using a flowchart. Note that the i-th information in the predetermined information is described as “information [i]”. FIG. 2 is a flowchart showing the overall operation of the image output apparatus 1.

  (Step S201) The changed image acquisition unit 13 determines whether or not the receiving unit 12 has received two or more input images. If accepted, the process proceeds to step S202; otherwise, the process returns to step S201. When two or more input images are received, the receiving unit 12 receives m input images.

  (Step S202) The changed image acquisition unit 13 determines whether or not one or more attribute value conditions are stored in the attribute value condition storage unit 11. If one or more attribute value conditions are stored, the process proceeds to step S217. If not, the process proceeds to step S203.

  (Step S203) The changed image acquisition unit 13 selects the input image [s] from the two or more input images received in step S201. The input image [s] is a reference image.

  (Step S204) The modified image acquisition unit 13 acquires n types of reference attribute values from the reference image selected in step S203. Here, it is assumed that the changed image acquisition unit 13 holds n relative change conditions. The n relative change conditions are conditions relating to n image attribute values.

  (Step S205) The changed image acquisition unit 13 sets 1 to the counter i.

  (Step S206) The modified image acquisition unit 13 determines whether i is s. When it is s, it progresses to step S214, and when that is not right, it progresses to step S207.

  (Step S207) The changed image acquisition unit 13 acquires n types of change target attribute values from the input image [i]. The input image [i] is a change target image.

  (Step S208) The changed image acquisition unit 13 sets 1 to the counter j.

  (Step S209) The changed image acquisition unit 13 calculates an attribute value difference [i] [j] that is a difference between the jth reference attribute value of the reference image and the jth change target attribute value of the input image [i]. calculate.

  (Step S210) The changed image acquisition unit 13 determines whether or not the attribute value difference [i] [j] calculated in Step S209 satisfies the relative change condition [j]. When it satisfies, it progresses to step S212, and when that is not right, it progresses to step S211.

  (Step S211) The changed image acquisition unit 13 changes the image attribute value [i] [j], which is the jth image attribute value of the input image [i], so as to satisfy the relative change condition [j].

  (Step S212) The modified image acquisition unit 13 determines whether j is n. When it is n, it progresses to step S214, and when that is not right, it progresses to step S213.

  (Step S213) The changed image acquisition unit 13 increments j by 1. Then, the process returns to step S209.

  (Step S214) The changed image acquisition unit 13 determines whether i is m. When it is m, it progresses to step S216, and when that is not right, it progresses to step S215.

  (Step S215) The changed image acquisition unit 13 increments i by 1. Then, the process returns to step S206.

  (Step S216) The output unit 14 outputs the input image from which the changed image acquisition unit 13 has not acquired the changed image and the changed image acquired by the changed image acquisition unit 13 in a comparable manner.

  In the flowchart of FIG. 2, the process may be terminated by powering off or a process termination interrupt.

  FIG. 3 is a flowchart showing a modified image acquisition process by the absolute modification method in step S217 of the flowchart of FIG. In the flowchart of FIG. 3, it is assumed that the attribute value condition storage unit 11 stores n attribute value conditions. The n attribute value conditions are conditions relating to n types of image attribute values.

  (Step S301) The changed image acquisition unit 13 sets 1 to the counter i.

  (Step S302) The changed image acquisition unit 13 acquires n types of image attribute values from the input image [i].

  (Step S303) The changed image acquisition unit 13 sets 1 to the counter j.

  (Step S304) The changed image acquisition unit 13 determines whether or not the image attribute value [i] [j], which is the jth image attribute value of the input image [i], satisfies the attribute value condition [j]. . When it satisfies, it progresses to step S306, and when that is not right, it progresses to step S305.

  (Step S305) The changed image acquisition unit 13 changes the image attribute value [i] [j] so as to satisfy the attribute value condition [j].

  (Step S306) The changed image acquisition unit 13 determines whether j is n. When it is n, it progresses to step S308, and when that is not right, it progresses to step S307.

  (Step S307) The changed image acquisition unit 13 increments j by 1. Then, the process returns to step S304.

  (Step S308) The changed image acquisition unit 13 determines whether i is the number m of input images received by the receiving unit 12. If it is m, the process returns to the upper process, and if not, the process proceeds to step S309.

  (Step S309) The changed image acquisition unit 13 increments i by 1.

(Concrete example)
Next, a specific example of the operation of the image output apparatus 1 will be described. In this specific example, it is assumed that the image output apparatus 1 is, for example, software (hereinafter referred to as an image viewer) that displays an image.

(Example 1)
In this example, an example in which a changed image is acquired by an absolute changing method will be described. In this example, it is assumed that the changed image acquisition unit 13 holds the relative change condition shown in FIG. The relative change condition (item name: condition) is associated with an ID for identifying each relative change condition.

  First, a user operates a personal computer to start an image viewer. Then, it is assumed that the user causes the software to read 10 images stored in the personal computer. Then, the reception unit 12 receives the ten input images. The input image is, for example, FIG. 5 or FIG.

  Next, it is assumed that the user operates the personal computer and selects the image shown in FIG. 5 from the 10 images read by the image viewer. Then, the reception unit 12 receives an image selection instruction for selecting the image of FIG. The image selection instruction includes, for example, information for identifying the image in FIG. The selected image of FIG. 5 is a reference image. Further, the remaining nine images that are not selected are change target images.

  Next, the changed image acquisition unit 13 acquires the size, brightness, and resolution from the 10 input images received by the receiving unit 12 according to the relative change conditions held by itself. Then, the changed image acquisition unit 13 acquires an attribute value difference, which is a difference between the reference attribute value and the change target attribute value, using the acquired three types of image attribute values. At this time, the changed image acquisition unit 13 acquires an attribute value difference between the image of FIG. 5 that is a reference image and the remaining nine input images.

  Next, the changed image acquisition unit 13 determines whether or not the acquired attribute value difference satisfies the relative change conditions in FIG. Here, among the nine input images, the luminance difference calculated for the six input images including the image of FIG. 6 satisfies the relative change condition “luminance difference ≦ 10” of “ID = 002” of FIG. Suppose not. Then, the changed image acquisition unit 13 changes the luminance of each of the six images so as to satisfy the relative change condition. For example, FIG. 7 shows an image obtained by changing the luminance of the input image shown in FIG. 6 so that the relative change condition is satisfied for the input image shown in FIG. The image in FIG. 7 is a modified image, and the brightness of the image in FIG. 6 is lowered so as to approach the brightness of the image in FIG. Then, the modified image acquisition unit 13 acquires a total of six modified images.

  Next, the output unit 14 outputs the image of FIG. 5 selected by the user, the three input images for which the changed image has not been acquired, and the six input images that have been acquired, for example, the image output illustrated in FIG. Output sequentially to the area. The order of the output is, for example, the order in which the receiving unit 12 receives input images corresponding to the ten output target images to be output.

(Example 2)
In this example, an example in which a changed image is acquired by an absolute changing method will be described. In this example, it is assumed that the attribute value condition storage unit 11 stores the attribute value condition shown in FIG. The attribute value condition (item name: condition) is associated with an ID for identifying each attribute value condition.

  First, as in Example 1, it is assumed that the reception unit 12 has received nine images including FIG. 5 and FIG. 6 as a result of the user operating the personal computer.

  Next, the changed image acquisition unit 13 acquires the size, color temperature, and display time from each of the nine input images received by the reception unit 12 according to the attribute value condition. Then, the changed image acquisition unit 13 determines whether or not the acquired three types of image attribute values satisfy the attribute value conditions in FIG. Here, for all nine images, the size satisfies the attribute value condition “(800 × 450) size ≦ (1600 × 900)” of “ID = 001” in FIG. To do. Similarly, the color temperature does not satisfy the attribute value condition “6500K ≦ color temperature ≦ 7000K” of “ID = 002” in FIG. 9, and the display time is the attribute value of “ID = 003” in FIG. It is assumed that the condition “display time = 20 seconds” is not satisfied. Then, the changed image acquisition unit 13 changes the color temperature and display time of the nine images so as to satisfy the attribute value condition. For example, the changed image acquisition unit 13 increases or decreases the color temperature of each of the nine images so as to satisfy the attribute value condition “6500K ≦ color temperature ≦ 7000K” of “ID = 002” in FIG. For example, the changed image acquisition unit 13 sets the display time of each of the nine images to “20 seconds” so as to satisfy the attribute value condition “display time = 20 seconds” of “ID = 003” in FIG. change. Then, the modified image acquisition unit 13 acquires a total of nine modified images.

  Next, the output unit 14 outputs the acquired nine changed images to, for example, nine image output areas illustrated in FIG. 9. The output time at this time is, for example, the display time “20 seconds” that is the image attribute value of the changed image.

  As described above, according to the image output apparatus 1 according to the present embodiment, it is possible to easily compare two or more images to be compared by automatically changing attribute values and outputting them in a comparable manner.

  In the present embodiment, for example, the changed image acquisition unit 13 may acquire a changed image in which the image attribute value is changed so that the object attribute value satisfies the relative change condition or the attribute value condition. The image attribute value to be changed may be an object attribute value.

  The object attribute value is an image attribute value of an object existing in the image. An object is an object. The type of the object is not limited. The target object is, for example, a human face, a car, a cloud, an animal, or the like. The object attribute value is specifically an image attribute value of an image corresponding to a region where the object exists in the image.

  In addition, the size of an object that is an object attribute value (hereinafter referred to as object size as appropriate) is usually a rectangular size that circumscribes the outline of the object. In addition, the position of the object that is the object attribute value (hereinafter, as appropriate, the object position) is usually the position of the object in the image. In addition, the object position may be, for example, the position of the object on a device or a screen where an image is output. Specifically, the object position is, for example, the coordinate of one vertex of four vertices of a rectangle circumscribing the outline of the object, or the coordinate of the center point of the rectangle.

  In addition, the said rectangle is a rectangle comprised from the straight line of a horizontal direction, and the straight line of a perpendicular direction normally. Further, the rectangle may be, for example, a rectangle having the smallest size among one or more rectangles circumscribing the outline of the object.

  When acquiring an object attribute value, the changed image acquisition unit 13 usually detects an object from two or more input images. “Detecting an object” usually means obtaining information indicating an area where an object exists in an input image. The information is, for example, an image corresponding to the area, a coordinate set indicating the area, or the like. The coordinate set includes, for example, one or more coordinates indicating the outline of the object, the coordinates of four vertices of a rectangle circumscribing the outline, and the like. Note that the method and procedure for detecting an object from an image are well known, and thus detailed description thereof is omitted.

  Moreover, when acquiring an object attribute value, the change image acquisition part 13 may detect all the objects which exist in an input image, for example. Moreover, when acquiring an object attribute value, the change image acquisition part 13 may detect an object from the area | region which attention area information which the reception part 12 received, for example shows.

  Then, the changed image acquisition unit 13 acquires object attribute values corresponding to the detected object from two or more input images to be written. Then, the changed image acquisition unit 13 changes the image attribute value so that the object attribute value satisfies the relative change condition or the attribute value condition. At this time, the changed image acquisition unit 13 normally changes the image attribute value of the same type as the type of the object attribute value. Then, the changed image acquisition unit 13 acquires a changed image in which the image attribute value is changed.

  The image output device in each of the above embodiments may be, for example, a stand-alone device or a server device in a server / client system.

  In each of the above embodiments, each process or each function may be realized by centralized processing by a single device or a single system, or distributed by a plurality of devices or a plurality of systems. It may be realized by being processed.

  In each of the above embodiments, each component may be configured by dedicated hardware, or a component that can be realized by software may be realized by executing a program. For example, each component can be realized by a program execution unit such as a CPU reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

  Moreover, the software which implement | achieves the image output apparatus in each said embodiment is the following programs, for example. That is, this program is an image corresponding to one or more input images of the reception unit that receives two or more input images that are two or more different images, and one or more of the two or more input images, A changed image acquisition unit that acquires one or more changed images that are images obtained by changing image attribute values that are attribute values of one or more input images, one or more changed images acquired by the changed image acquisition unit, and the 1 A program for functioning as an output unit that outputs one or more input images that are not input images corresponding to each of the above-described changed images, or two or more changed images acquired by the changed image acquisition unit in a comparable manner. .

  In the program, the functions realized by the program do not include functions that can be realized only by hardware.

  The program may be executed by being downloaded from a server or the like, or a program recorded on a predetermined recording medium (for example, an optical disk such as a CD-ROM, a magnetic disk, a semiconductor memory, or the like) is read out. May be executed. Further, this program may be used as a program constituting a program product.

  Moreover, the computer which performs the said program may be single, and plural may be sufficient as it. That is, centralized processing may be performed, or distributed processing may be performed.

  FIG. 11 is a schematic diagram of a computer system 9 that executes the above-described program to realize the image output apparatus and the like of the above-described embodiment. The above-described embodiments can be realized by computer hardware and a computer program executed thereon.

  In FIG. 11, the computer system 9 includes a computer 901 including a CD-ROM drive 9011 and an FD drive 9012, a keyboard 902, a mouse 903, and a monitor 904.

  FIG. 12 is a block diagram of the computer system 9. In FIG. 12, in addition to the CD-ROM drive 9011 and the FD drive 9012, a computer 901 is connected to an MPU 9013, a ROM 9014 for storing a program such as a boot-up program, and an MPU 9013, and temporarily commands the application program. And a hard disk 9016 for storing application programs, system programs, and data, a CD-ROM drive 9011, an FD drive 9012, an MPU 9013, etc. 9017. Although not shown here, the computer 901 may further include a network card that provides connection to a LAN.

  A program for causing the computer system 9 to execute the functions of the image output apparatus and the like of the above-described embodiment is stored in the CD-ROM 9101 or FD 9102, inserted into the CD-ROM drive 9011 or FD drive 9012, and further the hard disk 9016. May be forwarded to. Alternatively, the program may be transmitted to the computer 901 via a network (not shown) and stored in the hard disk 9016. The program is loaded into the RAM 9015 when executed. The program may be loaded directly from the CD-ROM 9101, the FD 9102, or the network.

  The program does not necessarily include an operating system (OS) or a third-party program that causes the computer 901 to execute the functions of the image output apparatus according to the above-described embodiment. The program only needs to include an instruction portion that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 9 operates is well known and will not be described in detail.

  The present invention is not limited to the above-described embodiments, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, the image output apparatus according to the present invention can easily compare two or more images to be compared by automatically changing attribute values and outputting them in a comparable manner. It is useful as image editing software.

DESCRIPTION OF SYMBOLS 1 Image output device 11 Attribute value condition storage part 12 Reception part 13 Changed image acquisition part 14 Output part

Claims (9)

A receiving unit that receives two or more input images that are two or more different images selected from two or more images of a single video ;
An image serving as a reference when changing the image attribute value, and the image attribute value of each of one or more input images other than the reference image that is an image of the two or more input images is used as the image attribute value of the reference image one or more of the changed image acquisition unit that acquires a change image with sea urchin change'm closer to,
An output unit that outputs the reference image and one or more changed images acquired by the changed image acquisition unit in a comparable manner;
Changing to approach the
Image attribute values of the one or more input images so that a difference between an image attribute value of one or more input images other than the reference image and an image attribute value of the reference image becomes smaller as a predetermined condition is satisfied. the is to change, except that the one or more image attributes of the input image and the image attribute values of the reference image match,
The reception unit
Receiving an image selection instruction that is an instruction to select one input image from the two or more input images;
The image output apparatus , wherein the reference image is one input image selected by the image selection instruction . The output unit outputs the reference image on the memory and the one or more changed images in a manner capable of being compared,
The accepting unit accepts two or more input images composed of the reference image on the memory and the one or more changed images, and selects an image of the two or more input images. The first process to accept
The modified image acquisition unit uses an image corresponding to the image selection instruction as a reference image, and causes the image attribute value of one or more input images other than the reference image on the memory to approach the image attribute value of the reference image. The second process of acquiring one or more changed images changed to
The output unit performs a third process of outputting the reference image and one or more changed images acquired by the changed image acquisition unit in a manner that can be compared,
The image output apparatus according to claim 1, wherein the first process, the second process, and the third process are performed repeatedly. An attribute value condition storage unit that stores one or more attribute value conditions that are conditions relating to image attribute values;
The modified image acquisition unit
The image output device according to claim 1 or 2, wherein one or more changed images obtained by changing the image attribute values of one or more input images other than the reference image so as to satisfy the one or more attribute value conditions are acquired. . The image output apparatus according to any one of claims 1 to 3, wherein the comparable mode is to continuously output two or more images at a predetermined position. The image output device according to any one of claims 1 to 3, wherein the comparable mode is outputting two or more images on the same screen. The modified image acquisition unit
6. The image output apparatus according to claim 1, wherein one or more changed images obtained by changing two or more types of image attribute values are acquired for each of one or more input images other than the reference image. The image attribute value is any one or more of size, resolution, luminance, contrast, tone, color, color temperature, color deviation, angle, display position, display time, and display range. The image output device according to any one of claims. An image output method performed using a reception unit, a changed image acquisition unit, and an output unit,
The reception unit
A reception step of receiving two or more input images that are two or more different images selected from two or more images of one moving image;
The reception unit
Receiving an image selection instruction which is an instruction to select one input image from the two or more input images;
The changed image acquisition unit
An image serving as a reference when changing the image attribute value, and the image attribute value of each of one or more input images other than the reference image that is an image of the two or more input images is used as the image attribute value of the reference image 1 and more change the image acquisition step of acquiring a change image with sea urchin change'm closer to,
The output unit is
An output step of outputting the reference image and one or more changed images acquired by the changed image acquisition unit in a comparable manner;
Changing to approach the
Image attribute values of the one or more input images so that a difference between an image attribute value of one or more input images other than the reference image and an image attribute value of the reference image becomes smaller as a predetermined condition is satisfied. the is to change, except that the one or more image attributes of the input image and the image attribute values of the reference image match,
The image output method, wherein the reference image is one input image selected by the image selection instruction . Computer
A receiving unit that receives two or more input images that are two or more different images selected from two or more images of a single video ;
An image serving as a reference when changing the image attribute value, and the image attribute value of each of one or more input images other than the reference image that is an image of the two or more input images is used as the image attribute value of the reference image one or more of the changed image acquisition unit that acquires a change image with sea urchin change'm closer to,
A program for functioning as an output unit that outputs the reference image and one or more changed images acquired by the changed image acquisition unit in a comparable manner,
Changing to approach the
Image attribute values of the one or more input images so that a difference between an image attribute value of one or more input images other than the reference image and an image attribute value of the reference image becomes smaller as a predetermined condition is satisfied. the is to change, except that the one or more image attributes of the input image and the image attribute values of the reference image match,
The reception unit
Causing the computer to function as an image selection instruction that is an instruction to select one input image from the two or more input images;
The program , wherein the reference image is one input image selected by the image selection instruction .