Extraction device, extraction method, and computer program product

Abstract

The present invention provides an extraction device, an extraction method, and a computer program product capable of extracting an appropriate color measurement site. The extraction device includes: an acquisition unit that acquires information of a region of interest of a person in image information based on image data; and an extraction unit that extracts, on the basis of the information of the region of interest, a colorimetric region of an image formed by the image forming apparatus on the basis of the image data.

Description

TECHNICAL FIELD

[0001] The present application relates to an extraction device, an extraction method, and a computer program product. BACKGROUND

[0002] In a print processing performed by an image forming apparatus, stability of colors in continuous output is required. However, in this print processing, colors vary with time, and thus color adjustment is needed. Generally, color adjustment is performed by printing a color chart in which color patches for color adjustment are arranged, and colorimetry is performed on the color chart by a sensor (color measurement section) of the image forming apparatus or an external color measurement device. A colorimetric value obtained by the colorimetry on the color chart is compared with a reference value, and color adjustment is performed based on a difference between the colorimetric value and the reference value.

[0003] In addition, in Patent Literature 1, a structure is disclosed in which, instead of extracting a colorimetry target region from a color chart, a colorimetry target region is extracted from a printed image, and color adjustment is performed by colorimetry on the colorimetry target region by a sensor of the image forming apparatus. In this structure, for extraction of the colorimetry target region, a region in which a density variation is small (a region suitable for colorimetry) is calculated from a printed image as flatness, and a color measurement site is extracted.

[0004] Patent Literature 1: Japanese Patent Application Publication No. 2019-149639

[0005] However, sometimes a site extracted as a region suitable for colorimetry by the apparatus as in the structure described in Patent Literature 1 is different from a site on which a person focuses in an image. Since a person's recognition degree is high with respect to a color variation in a site on which the person focuses, in the structure described in Patent Literature 1, there is a risk that an appropriate color measurement site cannot be extracted. SUMMARY

[0006] An object of the present application is to provide an extraction device, an extraction method, and a computer program product capable of extracting an appropriate color measurement site.

[0007] The extraction device of the present application includes:

[0008] an acquisition section that acquires information of a site on which a person focuses in image information based on image data; and

[0009] an extraction section that extracts a color measurement site of an image formed by an image forming apparatus based on the image data based on the information of the site on which the person focuses.

[0010] The extraction method of the present application is an extraction method performed by an extraction device, and includes:

[0011] acquiring information of a site on which a person focuses in image information based on image data; and

[0012] The information of the attention site based on the image information is used to extract a color measurement site of an image formed by an image forming apparatus based on the image data.

[0013] The computer program product of the present application is a computer program product storing an extraction program executed by an extraction apparatus,

[0014] The extraction program described above causes a computer to perform the following processing:

[0015] acquire information of an attention site of a person in image information based on image data; and

[0016] The information of the attention site based on the image information is used to extract a color measurement site of an image formed by an image forming apparatus based on the image data.

[0017] According to the present application, an appropriate color measurement site can be extracted. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is a block diagram showing an extraction system including an extraction apparatus of an embodiment of the present application.

[0019] Figure 2 is a diagram showing one example of image information.

[0020] Figure 3 is a diagram showing a display example of information of an attention site in an extraction apparatus.

[0021] Figure 4 is a diagram showing a display example of information related to color measurement of a first image in an extraction apparatus.

[0022] Figure 5 is a flowchart showing an action example of extraction control in an extraction apparatus.

[0023] Figure 6 is a block diagram showing an extraction system including an extraction apparatus of a modified example.

[0024] Figure 7 is a flowchart showing an action example of extraction control in an extraction apparatus of a modified example.

[0025] Figure 8 is a diagram showing a display example of information of a color measurement interval in an extraction apparatus.

[0026] Figure 9 is a flowchart showing an action example of color measurement interval calculation control in an extraction apparatus of a modified example.

[0027] Explanation of reference numerals: 1 … extraction system; 2 … image forming apparatus; 2A … communication section; 2B … color measurement section; 2C … image forming control section; 3 … storage device; 4 … analysis device; 4A … input section; 4B … output section; 4C … analysis control section; 100 … extraction device; 110 … communication section; 120 … display processing section; 130 … extraction section; 140 … storage processing section; 150 … calculation section; 160 … setting section. DETAILED DESCRIPTION

[0028] Hereinafter, an embodiment of the present application will be described in detail based on the drawings. Figure 1 is a block diagram showing an extraction system 1 including an extraction device of the embodiment of the present application.

[0029] As shown in Figure 1 , the extraction system 1 is a system that extracts a color measurement site of a print image formed by an image forming apparatus 2, and has the image forming apparatus 2, a storage device 3, an analysis device 4, and an extraction device 100.

[0030] The image forming apparatus 2 is a device capable of continuously forming an image on each of a plurality of recording media, and is connected to the extraction device 100 via a known network. The image forming apparatus 2 has, in addition to an image forming section having a function of forming an image, a communication section 2A, a color measurement section 2B, and an image forming control section 2C.

[0031] The communication section 2A transmits image information based on prescribed image data to the extraction device 100 via the network, and receives information of a color measurement site from the extraction device 100.

[0032] The color measurement section 2B is a color measurement device such as a scanner connected to the image forming apparatus 2. The color measurement section 2B performs color measurement on a print image on a recording medium on which an image has been formed by the image forming apparatus 2 at a color measurement interval set in advance. The color measurement interval is an interval (number of recording media) from when color measurement is performed to when color measurement is performed next in a print job. For example, in a case where the color measurement interval is set to 10, color measurement by the color measurement section 2B is performed every 10 printings in a print job.

[0033] The image forming control section 2C has a CPU (Central Processing Unit), a ROM (ReadOnly Memory), a RAM (Random Access Memory), and the like. The CPU reads out a program corresponding to a processing content from the ROM and expands it in the RAM, and collectively controls the actions of each module and the like of the image forming apparatus 2 in cooperation with the expanded program. The image forming control section 2C controls not only an image forming process in the image forming section but also a color measurement process in the color measurement section 2B.

[0034] Specifically, the image forming control section 2C controls the color measurement section 2B so that the part of the first image (print image) obtained by the image forming section being formed with image formation, in which the color measurement section part extracted by the extraction device 100, is color measured. Also, the image forming control section 2C performs a correction process of a second image formed after the first image based on the color measurement information of the color measurement section part of the first image. In more detail, in a case where the difference between the color measurement value of the color measurement section part of the first image and the reference value (reference information) exceeds the allowable range, the image forming control section 2C performs a correction process of the second image so that the color value of the image data related to the color measurement value becomes the reference value when printed on the recording medium.

[0035] The reference information is information indicating the color value of the print image on the recording medium after image formation, which becomes the reference. The reference information may, for example, be the color measurement value of the print image on the first recording medium in the print job, or a value defined based on the image data.

[0036] The allowable range is a range of the amount of deviation from the reference value that can be allowed, and is a range that can be appropriately set by the user or the device.

[0037] The correction process of the second image is a process of correcting the image data so that the difference between the color measurement value and the reference value is offset. The correction process of the second image may, for example, be any correction process as long as it is an adjustment related to color adjustment such as profile making, tone curve adjustment, engine adjustment, controller calibration, and the like.

[0038] In this way, in the image forming device 2, by performing the correction process based on the color measurement information of the color measurement section part extracted from the extraction device 100, color adjustment for color variation over time in the print job is performed.

[0039] The storage device 3 is, for example, a cloud server or the like, and stores information related to color measurement of the first image transmitted from the extraction device 100 via a known network. The information related to color measurement of the first image may, for example, contain color measurement value information of the color measurement section part of the first image, information indicating whether the difference between the color measurement value and the reference value exceeds the allowable range, information indicating the difference between the color measurement value and the reference value, and the like color measurement history information.

[0040] The analysis device 4 is a device that analyzes the degree of attention of a person based on image information, and extracts a part (attention part) of the person's attention from the image information. The analysis device 4 has an input section 4A, an output section 4B, and an analysis control section 4C.

[0041] The input section 4A acquires image information based on the image data of the print job from the extraction device 100 via the network and inputs to the analysis control section 4C. In the present embodiment, the image information is information (RIP (raster image processor) image) that is converted and processed from the image data of the print job into information after image formation. Further, the input section 4A can also acquire the image data of the print job from the image forming device 2.

[0042] The output section 4B outputs information of the attention site extracted based on the analysis result of the degree of human attention to the image information by the analysis control section 4C to the extraction device 100.

[0043] The analysis control section 4C has a CPU, a ROM, a RAM, and the like. The CPU reads out a program corresponding to the processing content from the ROM and expands in the RAM, and collectively controls the actions of each module and the like of the analysis device 4 in cooperation with the expanded program. The analysis control section 4C analyzes the degree of human attention based on the feature amount of the image in the image information input through the input section 4A.

[0044] Specifically, the analysis control section 4C extracts a feature amount based on human sensibility from the image information. The feature amount based on human sensibility is, for example, a low-order image feature amount and a high-order image feature amount.

[0045] The low-order image feature amount is, for example, a physical image feature amount including color, brightness, orientation (direction of an edge, shape), and the like, and is a component that guides the line of sight of a person so that the gaze is performed externally and passively. The low-order image feature amount can also be a concept that broadly includes at least any one of color, brightness distribution, contrast, and the like, a face, a font, and a motion. The impact on a person who views the image, the degree of gaze (prominence, saliency) differs depending on elements such as the color used for each part of the image (for example, complementary color difference, and the like), the distribution of the brightness (luminance) of each part, the orientation (direction), the contrast, and the like.

[0046] For example, in a portion where a complementary color difference is large (for example, a boundary portion of red against green, blue against yellow, and the like), there is a tendency that a person's line of sight is easily gathered and conspicuity is high. Also, for example, in a case where there is a portion branching in a direction perpendicular to an object extending in a horizontal direction as a whole, there is a tendency that a person's line of sight is gathered in the portion. Also, in a case where there is a portion recognized as a face within an image, there is a general tendency that a person gazes at the portion. Also, in a case where an element constituting an image is a character, the degree of a viewer's gaze differs depending on the kind, size of the font. A character includes a particular font within a font, and there are various kinds of characters such as a printed font, a segmented font, a hand-written font, and the like. Sometimes, the degree of a viewer's attention differs depending on how the font is expressed. Also, even in the same font, there is a tendency that a large character is more likely to concentrate attention than a small character.

[0047] A high-order image feature quantity is a physiological and mental image feature quantity reflecting a person's memory, experience, insight, and the like, and is a component that guides a person's line of sight so that gazing is performed inherently and actively. Specifically, a high-order image feature quantity is a component derived from a person's mental and psychological tendency, a line-of-sight movement tendency, and the like, which have an influence on the degree of gazing (conspicuity, conspicuity) brought to a person viewing an image, an impact, and the like. A high-order image feature quantity can also include the degree of at least either one of position bias and processing fluency.

[0048] For example, position bias has an influence on the degree of gazing of a person viewing an image, and can also be a concept including a tendency that a line of sight is a motion of a person's line of sight, and a line of sight is easily gathered in an object at the center of an image such as "center bias". Also, position bias can also be a concept including a tendency that a line of sight of a person easily moves from the upper left of an image toward the lower right and a line of sight is easily gathered in the upper left in a magazine, a web page, and the like. Also, position bias can also be a concept including a tendency that a line of sight of a person moves from the upper right toward the lower left and a line of sight is easily gathered in the upper right in a case where a vertically written text is viewed. Also, position bias can also be a concept including a tendency that a line of sight of a person is easily gathered in a portion close to the height of a line of sight in a layout within a store in a supermarket and the like.

[0049] Processing fluency generally means that a person easily processes simple things and easily recognized things, and hardly processes complex things and difficult to understand things. For example, regarding a portion easily recognized and high in processing fluency in an image, there is a tendency that a line of sight of a person easily goes toward and is easily gazed at. Also, regarding a portion not easily recognized and low in processing fluency in an image, there is a tendency that a line of sight of a person does not easily go toward and is not gazed at.

[0050] The degree of processing fluency can also be determined based on at least one of complexity, design density, and spatial frequency. Parts that are difficult to identify are cluttered and complex parts, or parts with dense designs that are difficult to understand. In areas of an image with cluttered and dense designs, sudden changes such as edges occur in the image, and the spatial frequency of such areas is high. Therefore, processing fluency is low in such areas. Furthermore, areas that do not contain information, such as areas with low complexity, design density, or spatial frequency, tend to be difficult to read and not be noticed.

[0051] The analysis control unit 4C calculates the degree of attention for each portion of the image based on the aforementioned low-order and high-order image features. For example, the analysis control unit 4C may calculate the low-order and high-order image features separately and use the sum of the weighted values ​​of the calculated values ​​as the degree of attention.

[0052] In the following, it is assumed that low-order image features are based on the color difference between adjacent areas, and high-order image features are based on the positional offset relative to the center offset. Furthermore, the weighting coefficients for the low-order image features are 0.5, and the weighting coefficients for the high-order image features are 0.5.

[0053] The low-order image feature value is any score from 1 to 5. The analysis control unit 4C calculates the low-order image feature value such that the score increases as the color difference increases, for example.

[0054] The high-order image feature value is any score from 1 to 5. The analysis control unit 4C calculates the high-order image feature value such that the score increases as the position in the image becomes closer to the center.

[0055] For example, Figure 2 As shown in the figure, assume that there is an image containing objects A, B, and C. Assume that the background color of the image is white, object A is black, object B is a lighter color than object A, and object C is a lighter color than object B. Object A is located in the lower center of the image, object B is located near the center of the image, and object C is located above object B in the image.

[0056] Object A has a significant color difference from the background color, so the analysis control unit 4C sets the low-order image feature value to 5. Furthermore, object A is located in the lower center of the image, so the analysis control unit 4C sets the high-order image feature value to 3. The analysis control unit 4C multiplies the low-order image feature value and the high-order image feature value by a weighting coefficient (0.5) and adds the multiplied values. The sum in this case becomes 4 (5×0.5+3×0.5). Furthermore, the analysis control unit 4C sets the ratio of the maximum score (5) to the sum as the degree of attention. The degree of attention associated with object A becomes 80%.

[0057] The object B has a smaller color difference from the background color than the object A, and therefore the analysis control section 4C sets the low-order image feature quantity to 2. In addition, the object B is located near the center of the image, and therefore the analysis control section 4C sets the high-order image feature quantity to 5. The sum of the values obtained by multiplying the weighting coefficients in this case by each image feature quantity becomes 3.5 (2 x 0.5 + 5 x 0.5), and the attention degree related to the object B becomes 70%.

[0058] The object C has a smaller color difference from the background color than the object B, and therefore the analysis control section 4C sets the low-order image feature quantity to 1. In addition, the object B is located above the object B in the image, and therefore the analysis control section 4C sets the high-order image feature quantity to 4. The sum of the values obtained by multiplying the weighting coefficients in this case by each image feature quantity becomes 2.5 (1 x 0.5 + 4 x 0.5), and the attention degree related to the object C becomes 50%.

[0059] In this way, the analysis control section 4C calculates the attention degree of each part in the image. Furthermore, in the low-order image feature quantity, a feature quantity related to brightness and orientation can be included in addition to the color difference. In addition, in the high-order image feature quantity, a feature quantity related to a position bias other than the center bias and processing fluency can be included. In addition, the value of the weighting coefficient can be different in the low-order image feature quantity and the high-order image feature quantity, respectively.

[0060] Furthermore, as the feature quantity based on human perceptual sensitivity, the low-order image feature quantity and the high-order image feature quantity are exemplified, but are not limited thereto. For example, either one of the low-order image feature quantity and the high-order image feature quantity can be used, or an image feature quantity other than the low-order image feature quantity and the high-order image feature quantity can be used.

[0061] The analysis control section 4C controls the output section 4B so as to output information of the attention part for which the attention degree is calculated to the extraction device 100. The information of the attention part includes information of a color corresponding to the attention part, position information corresponding to the attention part in the image, and information of the attention degree of the attention part.

[0062] Furthermore, the analysis control section 4C can calculate the attention degree for all parts in the image, or can calculate the attention degree for parts other than parts in which human attention is not easily concentrated (for example, parts in which both the low-order image feature quantity and the high-order image feature quantity are 1).

[0063] Next, the extraction device 100 will be described.

[0064] As Figure 1As shown, the extraction device 100 is a device that extracts a color measurement site of an image formed by the image forming device 2, based on information of a site of interest of a person in the image information. The extraction device 100 is, for example, a computer device such as a personal computer, and has a CPU, a ROM, a RAM, and the like. In the extraction device 100, the CPU reads out a program corresponding to the processing content from the ROM and expands it in the RAM, and collectively controls the actions of each module and the like of the extraction device 100 in cooperation with the expanded program. The extraction device 100 has a communication section 110, a display processing section 120, an extraction section 130, and a storage processing section 140.

[0065] The communication section 110 is a section that transmits and receives information with a device outside via a network. The communication section 110 receives image information based on prescribed image data from the image forming device 2, and transmits the received image information to the analysis device 4. Further, as for the image information, information after conversion processing into a RIP image is transmitted to the analysis device 4, and the conversion processing into a RIP image can be performed by the image forming device 2 or by the extraction device 100.

[0066] Further, the communication section 110 receives (acquires) information of a site of interest analyzed by the analysis device 4 based on the image information from the analysis device 4. The communication section 110 corresponds to the "acquisition section" of the present application.

[0067] The display processing section 120 performs display processing of the information of the site of interest acquired from the analysis device 4 in a display device. The display device can be, for example, a display section in the case where the extraction device 100 has the display section, or a display device provided separately from the extraction device 100.

[0068] Specifically, the display processing section 120 controls the information of the site of interest to be subjected to display processing based on the information of the site of interest. For example, the display processing section 120 displays the information of the site of interest in the order of the degree of interest from high to low in the display device.

[0069] For example, in the example shown in Figure 2 As shown in Figure 3 The display processing section 120 arranges and displays the information of the site of interest related to the object A, the information of the site of interest related to the object B, and the information of the site of interest related to the object C in the order of the degree of interest from high to low, in the example shown in Figure 3 In the example shown in

[0070] In this way, the user can easily recognize which site of interest is the site of interest having a high degree of interest.

[0071] Further, the display processing section 120 displays information indicating the attention site overlaid in the image. For example, in the case where the attention site is a person, the display processing section 120 displays a circle surrounding the person in the image. Figure 3 Further, the display processing section 120 displays information indicating the attention site overlaid in the image. For example, in the case where the attention site is a person, the display processing section 120 displays a circle surrounding the person in the image.

[0072] Thus, the user can easily recognize the position of the attention site in the image.

[0073] Further, the display processing section 120 can be controlled to display information of the attention site having the attention degree of the prescribed threshold value or more on the display device, and not to display information of the attention site having the attention degree less than the prescribed threshold value on the display device. The prescribed threshold value can be, for example, 65% or the like, which can be appropriately set. Further, the prescribed threshold value can be changed by the user changing the setting of the extraction device 100.

[0074] Thus, it is possible to save the display of the attention site having a low attention degree.

[0075] The extraction section 130 extracts a color measurement site of the image formed by the image forming device 2 based on the information of the attention site. Specifically, the extraction section 130 extracts information of the attention site selected by the user from among all the attention sites acquired from the analysis device 4 as the information of the color measurement site.

[0076] For example, the selection by the user can be made via an operation section (not shown) of the extraction device 100, for example, by checking a check box displayed in correspondence with the information of the attention site displayed on the screen of the display device, or the like.

[0077] Further, the extraction section 130 can automatically extract information of the attention site having the prescribed threshold value or more described above from among all the attention sites acquired from the analysis device 4 as the information of the color measurement site.

[0078] The communication section 110 transmits the information of the color measurement site extracted by the extraction section 130 to the image forming device 2. The information of the color measurement site includes information of the attention degree, information of the color of the color measurement site, and information of the position of the color measurement site.

[0079] In the image forming device 2 that has acquired the information of the color measurement site, as described above, based on the color measurement information of the color measurement site of the first image, a correction process of a second image formed after the first image is executed.

[0080] Further, the communication section 110 acquires information related to the color measurement of the first image described above from the image forming device 2. Further, the storage processing section 140 performs a storage process of the acquired information related to the color measurement of the first image to the storage device 3 via the communication section 110. The storage processing section 140 corresponds to the "first storage processing section" of the present application.

[0081] The information related to the color measurement of the first image can also be stored in the storage device 3 via the communication section 110 and the storage processing section 140 each time the color measurement is performed by the image forming apparatus 2. Alternatively, the information related to all the color measurements can be stored in the storage device 3 via the communication section 110 and the storage processing section 140 after the print job is completed.

[0082] Alternatively, the display processing section 120 can also display the information related to the color measurement of the first image on the display device. The information displayed on the display device can be, for example, information indicating the relationship between the difference (color deviation amount) between the color measurement value and the reference value and the number of printed sheets (or the elapsed time of printing). In Figure 4 an example of displaying information indicating a graph in which the color deviation amount is set as the vertical axis and the number of printed sheets is set as the horizontal axis together with the information of the attention site is shown.

[0083] Alternatively, for the information related to the color measurement of the first image displayed on the display device, the information can be acquired by the user based on the user's operation. For example, an example of being able to acquire by the user by operating the button displayed as "Download" is shown in Figure 4 Alternatively, the information acquired by the user can include the information of the above-described allowable range, the information of the reference, and the like.

[0084] Thus, the user can easily confirm the information related to the color measurement.

[0085] An example of the operation of the extraction control in the extraction apparatus 100 configured as described above will be described. Figure 5 is a flowchart indicating an example of the operation of the extraction control in the extraction apparatus 100. Further, when the print job is executed and the image information is input to the analysis apparatus 4, the flowchart shown in Figure 5 is appropriately executed.

[0086] As shown in Figure 5 , the extraction apparatus 100 acquires the information of the attention site from the analysis apparatus 4 (step S101). After the information of the attention site is acquired, the extraction apparatus 100 extracts the color measurement site from the information of the attention site (step S102).

[0087] After the color measurement site is extracted, the extraction apparatus 100 transmits the information of the color measurement site to the image forming apparatus 2 (step S103). After the information of the color measurement site is transmitted and the print job is started, the extraction apparatus 100 acquires the color measurement value (step S104).

[0088] After the color measurement value is acquired, the extraction apparatus 100 stores the information of the color measurement value in the storage device (step S105). After being stored in the storage device, the extraction apparatus 100 determines whether the print job is completed (step S106).

[0089] In a case where the result of the determination is that the print job is not ended (step S106: No), the process returns to step S104. On the other hand, in a case where the print job is ended (step S106: Yes), the present control is ended.

[0090] According to the present embodiment configured as above, the color measurement site of the image formed by the image forming apparatus 2 based on the image data is extracted in accordance with the information of the human attention site in the image information based on the image data.

[0091] Thereby, the extracted color measurement site can be set as the site of human attention. Since the color variation for the site of human attention makes the human cognitive degree higher, in the present embodiment, the site of which the human cognitive degree is high can be set as the color measurement site. As a result, the appropriate color measurement site can be extracted.

[0092] Further, the correction process of the second image is performed by the image forming apparatus 2 using such a color measurement site, and thus the portion of which the human cognitive degree is high in the image can be accurately corrected.

[0093] In addition, the information of the attention site is acquired from the analysis apparatus 4 that analyzes the human attention degree in accordance with the feature quantity based on the human sensibility in the image information, and thus the color measurement site considering the human sensibility can be extracted.

[0094] For example, in a case where the analysis is performed based on artificial intelligence, statistical data is required, and thus it can be impossible to accurately research the attention degree of new image data.

[0095] On the contrary, in the present embodiment, the human attention degree is analyzed in accordance with the feature quantity based on the human sensibility in the image information, and thus accurate research can be performed in the analysis of the attention degree of new image data.

[0096] In addition, the image information is the RIP image after the image data is converted and processed, and thus, for example, compared with a structure of extracting the attention site from the image formed on the recording medium, the deviation of each position and each color of the image is less. As a result, the information of the attention site can be accurately extracted from the image information.

[0097] Since the display process of the information of the attention site is performed in the display apparatus, the user can grasp the information of the attention site. In addition, the color measurement site is extracted based on the information of the attention site displayed in the display apparatus, and thus the matching of the color measurement site and the site grasped by the user can be achieved, and further, the site is appropriately corrected.

[0098] In addition, the display processing section 120 controls the information of the attention site to be subjected to the display process based on the information of the attention site, and thus the display of the site of which the attention degree is low and which is not gazed at by the human can be saved.

[0099] Furthermore, the storage processing unit 140 stores information related to the color measurement of the first image in the storage device 3. This information can be retained as color measurement history information. Consequently, after the print job is completed, information such as color changes based on color measurement can be provided to the user.

[0100] Furthermore, in the above embodiment, the image forming device 2 performs correction processing, such as calculating the difference between the colorimetric information and the reference information. However, the present invention is not limited thereto. For example, the extraction device 100 may also perform correction processing.

[0101] like Figure 6 As shown, the extraction device 100 of this structure has Figure 1 In addition to the structure shown, a calculation unit 150 and a setting unit 160 are provided.

[0102] The calculation unit 150 calculates the difference between the colorimetric information of the first image and the reference information. The calculation unit 150 corresponds to the "first calculation unit" of the present invention.

[0103] The setting unit 160 is a portion of the extraction device 100 that sets processes related to the correction processing of the image forming device 2. When the difference calculated by the calculation unit 150 exceeds the aforementioned allowable range, the setting unit 160 sets the correction processing of the image forming device 2. Specifically, the setting unit 160 sets the correction processing of the second image described above to the image forming device 2 via the communication unit 110.

[0104] This allows correction settings of the image forming apparatus 2 to be performed from the extraction apparatus 100 .

[0105] Furthermore, the above-mentioned permissible range can be changed by the user operating the setting unit 160. In this way, the reference for the correction process of the second image can be easily changed according to the user's intention. The setting unit 160 corresponds to the "first setting unit" of the present invention.

[0106] Furthermore, the above-mentioned allowable range may be changed for each degree of attention of each color measurement location. In other words, the setting unit 160 may set the allowable range for each of the plurality of color measurement locations.

[0107] For example, if the attention level is 80% or higher, setting unit 160 sets the permissible range to be less than a color deviation amount of 3. A color deviation amount is, for example, the absolute value of the difference between a color value and a value corresponding to the same reference value. If the attention level is between 50% and 80%, setting unit 160 sets the permissible range to be less than a color deviation amount of 5. Furthermore, if the attention level is less than 50%, setting unit 160 sets the permissible range to be less than a color deviation amount of 7.

[0108] For example, in the color measurement site where the attention degree is 80% or more, in the case where the difference between the color measurement value and the reference value is 3, the color deviation amount as the allowable range (less than 3) is exceeded, and thus correction of the color measurement site is performed. In addition, in the color measurement site where the attention degree is less than 50%, in the case where the difference between the color measurement value and the reference value is 3, the color deviation amount as the allowable range (less than 7) is not exceeded, and thus correction of the color measurement site is not performed.

[0109] Thus, the allowable range of each color measurement site can be made different according to the attention degree, and thus in the color measurement site where the attention degree is relatively low, correction is not required with the same reference as in the color measurement site where the attention degree is relatively high. As a result, it is possible to suppress unnecessary correction of the image data of the color measurement site where the attention degree is low.

[0110] In the case where the difference calculated by the calculation section 150 is not within the allowable range, the display processing section 120 displays information showing this to the user on the display device, and reports this information to the user. This information can also be character information for display on the display device of the extraction device 100. The display processing section 120 corresponds to the "first reporting section" of the present application.

[0111] Thus, the user can easily grasp the information of the difference between the color measurement value and the reference value. In addition, based on this difference information, the user judges whether or not correction is required, and changes the setting of correction via the setting section 160, and thus it is possible to improve the degree of freedom of correction of the second image.

[0112] An example of the operation of the extraction control in the extraction device 100 of the modification example thus configured will be described. Figure 7 is a flowchart showing an example of the operation of the extraction control in the extraction device 100 of the modification example. Further, the flowchart shown in Figure 7 is executed appropriately when a print job is executed and image information is input to the analysis device 4. In addition, the processing of steps S101 to S106 in the flowchart shown in Figure 7 is the same as the flowchart shown in Figure 5 .

[0113] As shown in Figure 7 , after step S104, the extraction device 100 determines whether or not the difference between the color measurement value and the reference value is within the allowable range (step S107). In the case where the result of the determination is that the difference is within the allowable range (step S107: YES), the processing proceeds to step S105.

[0114] On the other hand, if the difference is not within the allowable range (step S107: No), the extraction device 100 sets the correction of the image data in the image forming device 2 (step S108). After step S108, the process returns to step S104.

[0115] In the above embodiment, the color measurement intervals of the colorimetric unit 2B are preset, but the present invention is not limited thereto. For example, the extraction device 100 may calculate the color measurement intervals.

[0116] Specifically, calculation unit 150 calculates the color measurement interval during a print job of image forming apparatus 2 based on the degree of interest of the target area corresponding to the color measurement area. Specifically, calculation unit 150 calculates the color measurement interval so that the color measurement interval becomes shorter as the degree of interest increases. Calculation unit 150 corresponds to the "second calculation unit" of the present invention.

[0117] For example, in Figure 8 In the example shown, object A has the highest level of interest, so calculation unit 150 calculates the colorimetric interval as 5 images. Object B has a lower level of interest than object A, so calculation unit 150 calculates the colorimetric interval as 10 images. Furthermore, object C has the lowest level of interest, so calculation unit 150 calculates the colorimetric interval as 20 images. The colorimetric interval can also be calculated by referring to a table that lists colorimetric intervals associated with levels of interest, for example.

[0118] As a result, the timing of color measurement at each colorimetric location varies according to the degree of attention, reducing the frequency of colorimetric measurement at locations with lower levels of attention and increasing the frequency of colorimetric measurement at locations with higher levels of attention. This improves colorimetric efficiency compared to a configuration that measures all colorimetric locations in a single colorimetric measurement.

[0119] Furthermore, the calculation unit 150 may calculate the predicted printing time of the print job based on the calculated color measurement interval. The predicted printing time is calculated based on the following formula (1), for example.

[0120] Predicted time = time until the color measurement unit of the image forming device operates + time for the color measurement unit to move in the main scanning direction + time for the color measurement unit to move in the sub-scanning direction + color measurement time + time from printing to output without color measurement operation... (1)

[0121] The estimated time corresponds to the time required to print, measure color, and output a single sheet of recording medium. The colorimetric unit's movement time in the main scanning direction is the sum of the movement time for each colorimetric location. The movement time in the sub-scanning direction is the sum of the time required to transport the recording medium in the sub-scanning direction for colorimetric measurement. The colorimetric time is the sum of the colorimetric time for each colorimetric location.

[0122] Information other than the moving time of the color measurement section in the main scanning direction can also be acquired from the image forming apparatus 2 via the communication section 110. In addition, the moving time of the color measurement section in the main scanning direction can also be calculated from the storage apparatus 3 based on past print information. For example, the calculation section 150 selects, from the print information in past print jobs, print information in which the number of color measurement section positions of the image in the new print job is closest, and print information in which the positions of the color measurement section positions of the image in the new print job are closest. Furthermore, the calculation section 150 selects, from the selected print information, print information in which the difference between the predicted time in the past print job and the actual time taken for printing in that print job is the smallest.

[0123] The calculation section 150 acquires the position information of the color measurement section from the selected past print information, and calculates the moving time of the color measurement section in the main scanning direction. This moving time is calculated based on the following equation (2).

[0124] Moving time of color measurement section in main scanning direction in past print job = | actual time taken for printing - (time until color measurement operation + moving time in sub-scanning direction + color measurement time + time taken from printing to output without color measurement operation) |... (2)

[0125] The moving time in the sub-scanning direction of equation (2) is the time taken when the recording medium is conveyed, and is therefore information possessed by the image forming apparatus 2, but can also be calculated by the extraction apparatus 100. The moving time in the sub-scanning direction can be calculated, for example, by dividing the distance from the top of the recording medium to the color measurement section position by the speed at which the recording medium passes the color measurement section 2B.

[0126] The calculation section 150 calculates the moving speed of the color measurement section in the main scanning direction in the past print job based on the moving time calculated in equation (2). This moving speed is calculated based on the following equation (3).

[0127] Moving speed of color measurement section in main scanning direction in past print job = moving distance of color measurement section in main scanning direction / moving time of color measurement section in main scanning direction in past print job... (3)

[0128] The calculation section 150 calculates the moving time of the color measurement section in the main scanning direction in the new print job based on the moving speed calculated in equation (3). This moving time is calculated based on the following equation (4). The moving distance of the color measurement section in the main scanning direction of equation (4) is calculated based on the color measurement section position in the new print job.

[0129] Moving time of color measurement section in main scanning direction in new print job = moving distance of color measurement section in main scanning direction / moving speed of color measurement section in main scanning direction in past print job... (4)

[0130] Further, the moving time of the above-described color measurement section in the main scanning direction for calculating the predicted time can also be calculated based on information acquired from the image forming apparatus 2. For example, an image for time calculation can be output using the image forming apparatus 2 before the print job, and the moving time and the like information can be calculated.

[0131] The image for time calculation can also be an image used in the print job, or a prescribed chart image.

[0132] The storage processing section 140 can also perform storage processing of the color measurement interval and the predicted time (information related to the color measurement interval) calculated by the calculation section 150 to the storage device 3. In the information related to the color measurement interval, position information of the color measurement section and the like can be included in addition to the color measurement interval and the predicted time. The storage processing section 140 corresponds to the "second storage processing section" of the present application.

[0133] In this way, the predicted time of the new print job is left as history, and thus can be effectively used as the past predicted time when the predicted time is calculated in the new print job.

[0134] Further, the user can also set the print time of the print job via the setting section 160. In this case, the calculation section 150 can also calculate the color measurement interval based on the print time set by the user.

[0135] Thus, the color measurement interval suitable for the print time desired by the user can be set.

[0136] Further, the display processing section 120 can also display the color measurement interval calculated by the calculation section 150 on the display device, and report the information of the color measurement interval to the user. Further, the display processing section 120 can also report the information of the predicted time to the user in addition to the color measurement interval. For example, in the case where the color measurement interval is 10 seconds and the predicted time is 20 seconds, the display processing section 120 can display the color measurement interval and the predicted time on the display device, and report the information to the user. Figure 8 An example of displaying the color measurement interval and the print time (predicted time) is shown in FIG. 10. The display processing section 120 corresponds to the "second reporting section" of the present application.

[0137] In this way, the user can grasp the color measurement interval and the predicted time.

[0138] Further, the display processing section 120 can also report the maximum print time in the case where the color measurement is performed on all the color measurement sections to the user in addition to the color measurement interval and the predicted time.

[0139] By reporting the maximum print time to the user, the user can grasp that the print time is shortened to some extent by the color measurement interval and the predicted time.

[0140] In addition, the user can change the color measurement site or change the color measurement interval via the setting section 160. The setting section 160 corresponds to the "second setting section" of the present application. In addition, in a case where the user changes the color measurement interval, the calculation section 150 can calculate the predicted time of printing again based on the changed color measurement interval.

[0141] In addition, the information of the color measurement interval calculated by the calculation section 150 as described above is set to the color measurement interval of the color measurement section 2B of the image forming apparatus 2 via the communication section 110. After the color measurement interval is set, the print job is performed. In addition, in the print job, the color measurement is performed in accordance with the set color measurement interval. In addition, after the print job is completed, the storage processing section 140 performs the storage processing of the actually spent print time to the storage apparatus 3.

[0142] An example of the operation of the color measurement interval calculation control in the extraction apparatus 100 of the modification will be described. Figure 9 is a flowchart showing an example of the operation of the color measurement interval calculation control in the extraction apparatus 100 of the modification. In addition, the flowchart shown in Figure 9 is appropriately executed when the information of the site of interest is acquired from the analysis apparatus 4.

[0143] As shown in Figure 9 , the extraction apparatus 100 calculates the color measurement interval and the predicted time (step S201). After the color measurement interval and the predicted time are calculated, the extraction apparatus 100 displays the calculated color measurement interval and the predicted time (step S202).

[0144] After the color measurement interval and the predicted time are displayed, the extraction apparatus 100 determines whether there is no change in the color measurement interval (step S203). In a case where the result of the determination is that there is no change in the color measurement interval (step S203: Yes), the extraction apparatus 100 transmits the information of the color measurement interval to the image forming apparatus 2 (step S204).

[0145] On the other hand, in a case where there is a change in the color measurement interval (step S203: No), the extraction apparatus 100 calculates the predicted time again based on the changed color measurement interval (step S205).

[0146] After the predicted time is calculated again, the extraction apparatus 100 displays the color measurement interval and the predicted time (step S206). After step S206, the process proceeds to step S204.

[0147] After step S204, the extraction apparatus 100 causes the storage apparatus 3 to store the calculated color measurement interval and the predicted time (step S207). After step S207, the present control is ended. In addition, the extraction apparatus 100 can acquire the information of the actually spent print time after the print job based on the image forming apparatus 2 is completed, and perform the storage processing in the storage apparatus 3.

[0148] In addition, the computing section 150 can calculate the color measurement interval based on information other than the information on the degree of attention. For example, the computing section 150 can calculate the color measurement interval based on color measurement history information of the image forming apparatus 2 in addition to the information on the degree of attention. The color measurement history information is, for example, information indicating a difference between a color measurement value of a prescribed color and a reference value and information associated with the information indicating the difference. The information associated with the information indicating the difference can be, for example, information of the number of printouts when the difference between the color measurement value and the reference value exceeds an allowable range.

[0149] Specifically, the computing section 150 extracts, from the color measurement history information, information of the number of printouts when the difference between the color measurement value and the reference value of a color identical with each color of each color measurement site of the current print job exceeds an allowable range. The computing section 150 extracts CMYK values of each color of the extracted information, groups the information of the number of printouts by each feature of C value, M value, Y value, and K value based on the features of the C value, M value, Y value, and K value, and sorts the groups in order from small to large in the number of printouts.

[0150] For example, as groups, a group including a color with a C value of 100%, a group including a color with an M value of 80%, and a group including a color with a C value of 60% are sorted in order from small to large in the number of printouts.

[0151] Among them, with respect to the color measurement site related to the group with the smallest number of printouts, that is, the group including the color with the C value of 100%, the computing section 150 calculates an interval further smaller than the color measurement interval calculated based on the information on the degree of attention as the color measurement interval. For example, in a case where the color measurement interval calculated based on the information on the degree of attention is 30, an interval (for example, 15) further smaller than the interval is set as the color measurement interval.

[0152] In addition, in this case, the computing section 150 can set the color measurement interval so that the predicted time becomes a time in which a difference from the predicted time calculated based on only the information on the degree of attention does not exceed a prescribed time.

[0153] In addition, the color measurement interval in this case can be set by the user via the setting section 160.

[0154] In addition, the display processing section 120 can display information indicating that a color whose difference between a color measurement value and a reference value is likely to exceed an allowable range is included in the color measurement site, and that the color measurement interval is further reduced, on the display apparatus and report the information to the user.

[0155] Also, in the above-described embodiment, the information on the color measurement of the first image (the information on the attention site) and the like are stored in the storage device 3, but the job information of the print job can also be stored. That is, the storage processing section 140 can also associate the information on the attention site with the job information of the image forming apparatus 2 and perform the storage processing to the storage device 3. The storage processing section 140 corresponds to the "third storage processing section" of the present application.

[0156] The job information includes, for example, the image information, the information on the color of the image (CMYK values, L*a*b* values, and the like), the kind of the recording medium, the kind of the image forming apparatus 2, the attention degree, the user name, the job name, and the like.

[0157] Also, when the information on the attention site analyzed by the analysis device 4 is reported to the user as the color measurement site via the extraction device 100, there are cases where the color measurement site and the site actually attended by the user are different. This is because, for example, in the case of using the recording medium having a special background color such as a transparent film, the color tone of the image formed on the recording medium can be changed.

[0158] For example, assume that the user most attends to the object B among the objects A, B, and C in the image shown in FIG. 17. However, as in the above-described example, in the case where the analysis device 4 sets the attention degree of the object B to be lower than the attention degree of the object A, a difference is generated between the analysis result of the analysis device 4 and the attention site of the user. Figure 2

[0159] In this case, the user can also perform the setting of the attention degree of the color measurement site via the setting section 160 or the like. The setting can also be performed, for example, by the user inputting the attention degree via the setting section 160.

[0160] The extraction section 130 extracts the attention site corresponding to the setting of the user as the color measurement site. That is, the extraction section 130 changes the information on the attention site acquired from the analysis device 4 according to the setting of the user from before the setting of the user. Also, the extraction section 130 feeds back the changed information to the analysis device 4 via the communication section 110.

[0161] In the case where the feedback of the changed information is performed from the extraction device 100, the analysis device 4 can also change the setting of the analysis so that the fed back information is effectively used in the next analysis. The setting of the analysis can also be, for example, the setting of the weighting coefficient or the like changed from the usual setting in the case where the analysis of the print job similar to the print job which is the feedback target is performed, or the setting suitable for the content changed by the user.

[0162] ​In a similar print job, for example, a job having the same user name as the print job that is the feedback target, a job having the same color of the color measurement site as the print job that is the feedback target, and the like are listed.

[0163] In addition, the analysis device 4 can also store information of the attention site whose attention degree is changed by the user in advance based on the information after the feedback, and perform analysis of a similar print job based on the list of the stored information.

[0164] In addition, in a case where the analysis device 4 performs analysis based on the information after the feedback, the list of the above-mentioned stored information (past job information) can also be displayed in the display device in the extraction device 100.

[0165] In addition, in a case where there is feedback of the changed information, the analysis device 4 can also perform re-analysis of the attention site based on the feedback information and output to the extraction device 100.

[0166] In addition, in the above embodiment, information of the attention site of the person in the image information is acquired from the analysis device 4, but the present application is not limited thereto. For example, information acquired by the extraction device 100 referring to a table in which a boundary portion of two different colors of an image and a survey result of the easiness of attention to the boundary portion by a plurality of evaluators are associated, and the like, can also be acquired as information of the attention site of the person. The survey result can also be an average value, a median value, and the like of evaluation points respectively added by the plurality of evaluators.

[0167] In addition, in the above embodiment, the display processing portion 120 performs display in the display device, thereby reporting information to the user, but the present application is not limited thereto, and for example, information can also be reported to the user by sound output by the sound output portion.

[0168] In addition, in the above embodiment, the storage processing to the storage device 3 is performed by the extraction device 100, but the present application is not limited thereto, and can also be performed by the image forming device 2.

[0169] In addition, in the above embodiment, the storage processing portion is provided, but the present application is not limited thereto, and for example, the storage processing portion can also not be provided in a case where the storage device is not provided.

[0170] In addition, in the above embodiment, the image information is a RIP image, but the present application is not limited thereto. For example, the image information can also be information of a read image after a print image based on image data is read.

[0171] In addition, in the above embodiment, the extraction device 100 is a device separate from the image forming device 2, but the present application is not limited thereto, and can also be a device included in the image forming device.

[0172] In addition, the above-described embodiments are merely examples of specific embodiments of the present application, and the technical scope of the present application is not limited by these. That is, the present application can be implemented in various forms without departing from the spirit or essential characteristics thereof.

Claims

1. An extraction device, wherein, Possessing: an acquisition section that acquires information of a person's attention site in image information based on image data; and an extraction section that extracts a color measurement site of an image formed by an image forming apparatus based on the image data based on the information of the attention site.

2. The extraction apparatus according to claim 1, wherein the acquisition section acquires the information of the attention site from an analysis apparatus, the analysis apparatus analyzes the person's attention degree from a feature amount in the image information based on the person's sensibility, and outputs the information of the attention site to the extraction apparatus based on the analysis result.

3. The extraction apparatus according to claim 1, wherein the image forming apparatus performs a correction process of a second image based on color measurement information of the color measurement site of a first image formed on a recording medium, the second image being an image based on the same image data as the first image, and the second image being formed on the recording medium after the first image.

4. The extraction apparatus according to claim 1, wherein the image information is information that is converted from the image data into information after image formation.

5. The extraction apparatus according to claim 1, further possessing a display processing section that performs display processing of the information of the attention site acquired by the acquisition section in a display apparatus, the extraction section extracts the color measurement site based on the information of the attention site displayed in the display apparatus.

6. The extraction apparatus according to claim 5, wherein the display processing section controls the information of the attention site to be display-processed based on the information of the attention site.

7. The extraction apparatus according to claim 3, wherein the acquisition section acquires the color measurement information of the first image, the extraction apparatus further possesses: a first calculation section that calculates a difference between the color measurement information of the first image and reference information; and a first reporting section that reports information indicating that the difference is not within an allowable range to a user in a case where the difference is not within the allowable range.

8. The extraction apparatus according to claim 7, further possessing a first setting section that sets the allowable range.

9. The extraction apparatus according to claim 8, wherein the color measurement site is a plurality of sites, the first setting section sets the allowable range for each of the plurality of color measurement sites.

10. The extraction apparatus according to claim 7, further possessing a first storage processing section that performs storage processing of information related to color measurement of the first image to a storage apparatus.

11. The extraction apparatus according to claim 3, further possessing a second calculation section that calculates a color measurement interval in a print job of the image forming apparatus based on an attention degree of an attention site corresponding to the color measurement site.

12. The extraction apparatus according to claim 11, wherein the second calculation section calculates a predicted time of printing of the print job.

13. The extraction apparatus according to claim 11, further possessing: a second reporting section that reports the calculated color measurement interval to a user; and ​ ​ ​ ​ ​ The second setting section sets the color measurement interval.

14. The extraction device according to claim 11, wherein The second storage processing section performs storage processing of information on the color measurement interval in the print job to a storage device.

15. The extraction device according to claim 11, wherein The second calculation section calculates the color measurement interval based on the color measurement history information of the image forming device in addition to the attention degree.

16. The extraction device according to claim 11, wherein The image forming device has a color measurement section that measures a print image obtained by performing print processing by a print job, The extraction device further has an output section that outputs information on the color measurement interval calculated by the second calculation section to the image forming device, The image forming device controls the color measurement section based on the information on the color measurement interval.

17. The extraction device according to claim 1, wherein The third storage processing section associates information on the attention site with job information of the image forming device and performs storage processing to a storage device.

18. The extraction device according to claim 2, wherein The extraction section changes information on the attention site acquired from the analysis device from before a user's setting according to the user's setting, The extraction section feeds back the changed information to the analysis device.

19. An extraction method performed by an extraction device, wherein The extraction method includes: acquiring information on an attention site of a person in image information based on image data; and extracting a color measurement site of an image formed by an image forming device based on the image data based on the information on the attention site.

20. The extraction method according to claim 19, wherein The acquiring includes acquiring the information on the attention site from an analysis device, The analysis device analyzes an attention degree of the person according to a feature amount based on a feeling of the person in the image information, and outputs the information on the attention site to the extraction device based on the analysis result.

21. The extraction method according to claim 19, wherein The image forming device performs correction processing of a second image based on color measurement information of the color measurement site of a first image formed on a recording medium, the second image being an image based on the same image data as the first image and formed on the recording medium after the first image.

22. The extraction method according to claim 19, wherein The image information is information obtained by conversion processing of the image data into an image formation.

23. The extraction method according to claim 19, wherein The extraction method further includes display processing of the information on the attention site acquired in the acquiring in a display device, The extracting includes extracting the color measurement site based on the information on the attention site displayed in the display device.

24. The extraction method according to claim 23, wherein The display processing includes controlling information of the attention site to be subjected to display processing, based on information of the attention site.

25. The extraction method according to claim 21, wherein The acquisition includes acquiring the color measurement information of the first image, The extraction method further includes: calculating a difference between the color measurement information of the first image and reference information; and in a case where the difference is not within an allowable range, reporting information indicating that the difference is not within the allowable range to a user.

26. The extraction method according to claim 25, wherein The extraction method further includes setting the allowable range.

27. The extraction method according to claim 26, wherein The color measurement site has a plurality of sites, Setting the allowable range includes setting an allowable range for each of the plurality of color measurement sites.

28. The extraction method according to claim 25, wherein The extraction method further includes performing storage processing of information related to color measurement of the first image to a storage device.

29. The extraction method according to claim 21, wherein The extraction method further includes calculating a color measurement interval in a print job of the image forming apparatus, based on an attention degree of an attention site corresponding to the color measurement site.

30. The extraction method according to claim 29, wherein Calculating the color measurement interval includes calculating a predicted time of printing of the print job.

31. The extraction method according to claim 29, wherein The extraction method further includes: reporting the calculated color measurement interval to a user; and setting the color measurement interval.

32. The extraction method according to claim 29, wherein The extraction method further includes performing storage processing of information related to a color measurement interval in the print job to a storage device.

33. The extraction method according to claim 29, wherein Calculating the color measurement interval includes calculating the color measurement interval based on color measurement history information of the image forming apparatus in addition to based on the attention degree.

34. The extraction method according to claim 29, wherein The image forming apparatus has a color measurement section that color measures a printed image obtained by print processing of a print job, The extraction method further includes outputting information of the color measurement interval calculated by calculating the color measurement interval to the image forming apparatus, The image forming apparatus controls the color measurement section based on the information of the color measurement interval.

35. The extraction method according to claim 19, wherein The extraction method further includes associating the information of the attention site with job information of the image forming apparatus and performing storage processing to a storage device.

36. The extraction method according to claim 20, wherein The extraction includes: changing the information of the attention site acquired from the analysis device from a user's setting, according to the user's setting; and feeding back the changed information to the analysis device.

37. A computer program product that is a computer program product storing an extraction program executed by an extraction device, wherein The extraction program causes the computer to execute the following processing: acquiring information of an attention site of a person in image information based on image data; and extracting, based on the information of the attention site, a color measurement site of an image formed by an image forming apparatus based on the image data.

38. The computer program product according to claim 37, wherein the acquiring processing includes acquiring the information of the attention site from an analysis apparatus, the analysis apparatus analyzes the attention of the person in accordance with a feature amount based on a feeling of the person in the image information, and outputs the information of the attention site to the extraction apparatus based on a result of the analysis.

39. The computer program product according to claim 37, wherein the image forming apparatus performs correction processing of a second image based on color measurement information of the color measurement site of a first image formed on a recording medium, the second image being an image based on the same image data as the first image and formed on the recording medium after the first image.

40. The computer program product according to claim 37, wherein the image information is information after conversion processing of the image data into an image.

41. The computer program product according to claim 37, wherein the extraction program causes the computer to further execute the following processing: display processing of the information of the attention site acquired in the acquiring processing in a display apparatus, the extracting processing includes the following processing: extracting the color measurement site based on the information of the attention site displayed in the display apparatus.

42. The computer program product according to claim 41, wherein the display processing includes the following processing: controlling the information of the attention site to be subjected to the display processing based on the information of the attention site.

43. The computer program product according to claim 39, wherein the acquiring processing includes the following processing: acquiring the color measurement information of the first image, the extraction program causes the computer to further execute the following processing: calculating a difference between the color measurement information of the first image and reference information; and in a case where the difference is not within an allowable range, reporting information indicating a meaning that the difference is not within the allowable range to a user.

44. The computer program product according to claim 43, wherein the extraction program causes the computer to further execute the following processing: setting the allowable range.

45. The computer program product according to claim 44, wherein the color measurement site has a plurality of sites, the processing of setting the allowable range includes the following processing: setting the allowable range for each of the plurality of color measurement sites.

46. The computer program product according to claim 43, wherein the extraction program causes the computer to further execute the following processing: performing storage processing of information related to color measurement of the first image to a storage apparatus.

47. The computer program product according to claim 39, wherein the extraction program causes the computer to further execute the following processing: The color measurement interval is calculated based on the attention degree of the attention site corresponding to the color measurement site.

48. The computer program product according to claim 47, wherein The process of calculating the color measurement interval includes a process of calculating a predicted time of printing of the print job.

49. The computer program product according to claim 47, wherein The extraction program causes the computer to further perform a process of: reporting the calculated color measurement interval to a user; and setting the color measurement interval.

50. The computer program product according to claim 47, wherein The extraction program causes the computer to further perform a process of: performing a storage process of information related to the color measurement interval in the print job to a storage device.

51. The computer program product according to claim 47, wherein The process of calculating the color measurement interval includes a process of calculating the color measurement interval based on the attention degree and based on color measurement history information of the image forming apparatus.

52. The computer program product according to claim 47, wherein The image forming apparatus has a color measurement section that performs color measurement on a printed image obtained by a print process of a print job, The extraction program causes the computer to further perform a process of outputting information of the color measurement interval calculated by the process of calculating the color measurement interval to the image forming apparatus, The image forming apparatus controls the color measurement section based on the information of the color measurement interval.

53. The computer program product according to claim 37, wherein The extraction program causes the computer to further perform a process of: associating information of the attention site with job information of the image forming apparatus and performing a storage process to a storage device.

54. The computer program product according to claim 38, wherein The extraction process includes a process of: changing the information of the attention site acquired from the analysis device from a setting of a user before the setting of the user; and feeding back the changed information to the analysis device.

Images