JP4807148B2 - Document impression evaluation apparatus and document impression evaluation program - Google Patents

Description

  The present invention relates to a document impression evaluation apparatus and a document impression evaluation program that present information related to an impression that a document gives to a person based on visual information acquired from the document.

  With the recent increase in information processing speed and capacity of corporate marks, products, presentation materials, website pages, etc., many colored documents are used in presentation materials and various websites. It has become so. In these documents, the visual impression given to humans varies greatly depending on the selection, arrangement, area, and area ratio of colors used in the documents.

  However, much of the actual document creation is left to the general user. A general user who is unfamiliar with document creation often does not know how to color and color a document to obtain his intended atmosphere, aesthetics and visibility. In addition, a means for objectively evaluating an impression given to a user by a created document is also required for a document creation specialist.

  In order to solve this problem, research on processing and document evaluation based on human sensitivity has been actively conducted, and in particular, sensitivity evaluation means for evaluating human sensitivity, and the results and document characteristics are analyzed. Many sensuous document creation support means have been proposed that combine document analysis means.

  Patent Document 1 and Patent Document 2 disclose an interactive color arrangement support method and a color arrangement support apparatus using the same. In this color arrangement support method, when a user edits image data, the appropriateness of the color arrangement such as the background of the image, characters or graphs is presented as a specific numerical value, or a color suitable for the color arrangement is presented as a candidate. .

  In Patent Document 3, a feature amount is extracted from an image to be evaluated with reference to a database in which a condition for a visual feature amount related to an image is associated with expression information representing an impression felt by a person who views the image. An image impression evaluation apparatus is disclosed that extracts expression information associated with a condition that the extracted feature amount satisfies, and displays the expression information on an output screen as information about an impression that the image gives to a person.

JP-A-7-306935 JP-A-8-249441 JP 2004-30377 A

  However, in the above prior art, the impression that a document gives to a person is not evaluated according to the type of document to be evaluated. For example, a document such as a web page displayed on a display and a document expressed on a print medium such as paper have different impressions given to a person due to different dynamic ranges of brightness (brightness). It was not possible to carry out an evaluation according to.

  Specifically, when the area of a white (high luminance value) background area is large in a document represented on the display, the conventional document impression evaluation apparatus has a stronger impression of “cold” and “soft” than the actual impression. There is a tendency to be evaluated. On the other hand, when the area of the black (low luminance value) background region is large, the conventional document impression evaluation apparatus tends to evaluate the impression of “stronger” weaker than the actual impression.

  An object of the present invention is to provide a document impression evaluation apparatus and a document impression evaluation program capable of evaluating an impression of a document suitable for the type of document to be evaluated in view of the problems of the conventional techniques.

The present invention provides a document impression evaluation apparatus that presents information related to an impression given to a human by a document based on visual information extracted from the document, wherein the type of the document to be evaluated is the evaluation target. the difference between the maximum value and the minimum value of the luminance of the document is equal to or greater than a predetermined value is determined that the document be evaluated document represented by the light-emitting type or transmission type media, reflective media is less than the predetermined value A document discriminating means for discriminating from a document expressed by the above, a feature quantity extracting means for extracting at least one feature quantity from the document to be evaluated, and a condition for at least one visual feature quantity regarding the document for each document type And expression information that expresses the impression of the person who sees the document The expression information extracting means for extracting the expression information associated with the type of the document to be evaluated and the condition that the feature quantity of the document to be evaluated satisfies, and the extracted expression Output means for outputting information as information relating to an impression given to a human by the document to be evaluated.
Further, the document impression evaluation apparatus presents information related to an impression given to a human by the document based on visual information extracted from the document, and extracts at least one feature amount from the evaluated document to be evaluated. At least a document amount for each type of the document to be evaluated indicating whether the document to be evaluated input by the user is a document represented by a light-emitting type, a transmission type, or a reflection type medium. The type of the document to be evaluated and the feature amount of the document to be evaluated with reference to the expression information database that associates the condition for one visual feature amount with the expression information that represents the impression that a person sees the document feels The expression information associated with the condition that And expression information extraction means for extracting, a representation of the extracted information, the the object to be evaluated document document characterized in that it comprises an output means for outputting the information on the impression to be given to humans, the.

These document impression evaluation apparatuses according to the present invention can be realized by a program executed by a computer. Specifically, it is a document impression evaluation program for performing a document impression evaluation that presents information related to an impression given to a human by a document based on visual information extracted from the document, the computer being an evaluation object If the difference between the maximum value and the minimum value of the brightness of the evaluated document is equal to or greater than a predetermined value, the evaluated document is determined to be a document expressed by a luminescent or transparent medium. , a document discrimination means for discriminating a document represented by reflective media is less than the predetermined value, the feature value extraction means for extracting at least one feature quantity from the evaluation document for each type of document, the document For at least one visual feature And the expression information database associating the expression and the expression information representing the impression felt by the person who viewed the document, and the condition that the feature value of the evaluated document and the type of the evaluated document are satisfied A document impression that functions as expression information extraction means for extracting expression information, and output means for outputting the extracted expression information as information about an impression given to a human by the document to be evaluated. It can be realized by an evaluation program.
A document impression evaluation program for performing a document impression evaluation that presents information related to an impression given to a person based on visual information extracted from a document, the computer being an evaluation target A feature quantity extracting means for extracting at least one feature quantity from a document; and the subject indicating whether the evaluated document input by a user is a document represented by a light-emitting type, a transmission type, or a reflection type media. For each type of evaluation document, the evaluated document is referred to by referring to an expression information database in which a condition for at least one visual feature amount related to the document is associated with expression information representing an impression felt by a person viewing the document. Type and the evaluated doki Expression information extraction means for extracting expression information associated with a condition satisfied by the feature amount of the document, and output means for outputting the extracted expression information as information about an impression given to the person by the document to be evaluated And a document impression evaluation program characterized by functioning as

  Note that each means realized by the document impression evaluation program is equivalent to each step or combination of steps in the flowchart in the embodiment of the present invention. Each means realized by the document impression evaluation program need not be realized by one computer, and may be realized by a plurality of computers connected so as to be able to transmit information through a network or the like.

  Here, the output means divides the area of the output screen into a plurality of divided screen areas, assigns the condition for each of the divided screen areas, and the divided screen corresponding to the condition that the feature amount of the evaluated document satisfies. It is preferable to display the extracted expression information in a region. The output means divides an output screen area into a plurality of divided screen areas, assigns the condition to each of the divided screen areas, and the divided screen area corresponding to the condition satisfied by the feature amount of the evaluated document. It is also preferable to display information on the feature amount of the document to be evaluated.

  In this way, by dividing the output screen and displaying the information related to the expression information and the feature amount in the form of a chart, the impression of the evaluated document can be presented to the user in an easily understandable manner.

  According to the present invention, it is possible to evaluate an appropriate document impression according to the type of document to be evaluated.

  Embodiments of the present invention will be described below in detail with reference to the drawings. As shown in FIG. 1, an impression evaluation apparatus according to an embodiment of the present invention basically includes a control unit 10, an internal storage unit 12, a large-capacity storage unit 14, an output unit 16, a standard input unit 18, and a document input unit 20. Composed. The control unit 10, the internal storage unit 12, the mass storage unit 14, the output unit 16, the standard input unit 18, and the document input unit 20 are connected via a bus 24 so that information (data) can be transmitted.

  It is preferable that the impression evaluation apparatus further includes an interface unit 22. The interface unit 22 is connected to other components via a bus 24 so that information (data) can be transmitted. The interface unit 22 can be used for reading document data such as a web page from a server external to the impression evaluation apparatus via the network 26.

  The control unit 10 executes the document impression evaluation program held in the internal storage unit 12 and appropriately reads the document data stored in the large-capacity storage unit 14 or the document data via the network 26, and the document data Evaluate the impression of the document expressed by. The result of impression evaluation is output to the output unit 16 or the internal storage unit 12. As the control unit 10, a CPU of a general computer can be used.

  The internal storage unit 12 stores and holds an impression evaluation program executed by the control unit 10, each parameter used for evaluation processing, an impression evaluation value that is a processing result, and the like. The data held in the internal storage unit 12 can be referred to as appropriate from the control unit 10 via the bus 24. As the internal storage unit 12, a general semiconductor memory, a hard disk device, a magneto-optical disk device, or the like can be appropriately selected and used.

  The large-capacity storage unit 14 stores and holds document data of a document (hereinafter referred to as an “evaluated document”) subjected to impression evaluation by the control unit 10. Document data is held in various data formats such as a bitmap format, a jpeg format, a tiff format, and an HTML format. The document data held in the large-capacity storage unit 14 can be referred to as appropriate from the control unit 10 via the bus 24. The large-capacity storage unit 14 can select and use a large-capacity storage device such as a general hard disk device or a magneto-optical disk device.

  The output unit 16 outputs the processing result output from the control unit 10 as information that can be confirmed by the user. It is also used as a user interface when the user inputs control commands and parameters necessary for impression evaluation processing. As the output unit 16, a display device, a printer, a touch panel, or the like can be appropriately selected and used.

  The standard input unit 18 is used by a user to input control commands and parameters for document evaluation. For example, it is used when a control command for instructing the control unit 10 to start executing an impression evaluation program held in the internal storage unit 12 is used. The standard input unit 18 can be used by appropriately selecting a keyboard, a mouse, a touch panel, or the like.

  The document input unit 20 inputs document data to be subjected to impression evaluation. Document data input from the document input unit 20 is stored and held in the mass storage unit 14 or the internal storage unit 12. The document input unit 20 can appropriately select and use a general document input device such as a scanner, a digital camera, or a digital video.

  The impression evaluation apparatus according to the present embodiment can be basically configured by a general computer. Moreover, it is not limited to the said structure, It is suitable to add, delete, or change a component suitably.

<Document impression evaluation method>
A document impression evaluation processing method using the impression evaluation apparatus will be described below with reference to the drawings. FIG. 2 shows a flowchart of the first document impression evaluation method.

  As shown in FIG. 2, the present impression evaluation method includes input of a document to be evaluated (step S1), determination of a document type (document type) (step S2), a subroutine for acquiring physical feature values (step S3), impression This includes the extraction of the evaluation (step S4) and the output of the evaluation result (step S5). Specifically, each step is stored and held in the internal storage unit 12 as an impression evaluation program that can be executed by a computer, and the impression evaluation program is executed by the control unit 10.

  When the user inputs a control command for starting execution of the impression evaluation program from the standard input unit 18, the control unit 10 executes the impression evaluation program held in the internal storage unit 12. As a result, the process immediately proceeds to step S1.

  In step S <b> 1, using the document input unit 20, document data of a document that is an impression evaluation target is acquired. For example, document data displayed on a display such as a web page is acquired via the network 26. In addition, document data displayed on a print medium such as paper is acquired using the document input unit 20. The document data is stored and held in the large-capacity storage unit 14 or the internal storage unit 12, and is appropriately read out by the control unit 10 for processing.

  Note that the document data acquired in step S1 may be an entire document such as a website as shown in FIG. 3, or a header part 30, a title part 31, a heading part 32, a link button part 33, an image image. The document may be divided into areas 34 and text 35. It is also preferable to automatically divide the document into regions by applying an image region dividing algorithm typified by clustering based on the K-average algorithm, and to make each a target document.

  In step S2, the type (kind) of the evaluated document is determined. In this embodiment, based on the dynamic range of the luminance (brightness) of the document data of the document to be evaluated, it is determined whether the document to be evaluated is a light emitting (transmission) document or a reflection document. Here, the light emitting type (transmission type) document is a document displayed by a device that emits light by itself, such as a display, and a device that displays the document by transmitting light, such as a slide projection device. Refers to the document to be created. In addition, the reflection type document refers to a document such as a printed matter or a photograph that is image-formed on a print medium such as paper displayed by reflecting light received from the outside.

  Specifically, the difference between the maximum value and the minimum value of the brightness (brightness) of the document data of the evaluated document is calculated, and if the difference is equal to or greater than a predetermined threshold, the evaluated document is a light emitting type (transmission type) document. If it is less than the predetermined threshold, it is determined that the document to be evaluated is a reflective document. Thus, the document data type can be automatically determined by using the dynamic range of the document data.

  Note that the type of the document to be evaluated may be manually set by the user inputting whether the type of the document to be evaluated is a light emitting type (transmission type) document or a reflection type document using the standard input unit 18.

  In step S3, a physical feature amount is calculated for each document area. Step S3 is processed as a subroutine as shown in FIG. Hereinafter, a case where a document such as a website is divided into several areas and each area is processed as an evaluated document will be described.

Here, the physical feature amounts are the area of the document area, the width w and height h of the document area, the upper left positions x and y, the color average of the entire document area, the average value of the L ^* component, and the a ^* component. mean values of, b ^* average component, color difference color average and the document area overall color average of the entire document ΔL * ^a * ^{b *,} color differences in color average of the document area to be close to the document region Δ _n L ^* a ^* B ^* , the color difference of the average color between the background and the document area [Delta _] bL ^* a ^* b ^* , the color dispersion in the document area, the number of the same color, and the like.

  Hereinafter, although the calculation method of each feature-value is demonstrated, it is not necessary to calculate about all the feature-values in this Embodiment, What is necessary is just to calculate only about the feature-value used for document evaluation in step S4 and subsequent steps.

In step S31, the color space of the document data of each divided document area is converted from the RGB space to the L ^* a ^* b ^* space. In general, document data used in a computer is often expressed in an RGB color space, which is a non-uniform color space, and cannot be analyzed close to the human sense. Therefore, by converting the RGB color space, which is a non-uniform color space, to the L ^* a ^* b ^* color space, which is a uniform color space, the document can be analyzed and evaluated as an impression closer to human sensitivity. The L ^* a ^* b ^* space is also preferable because it can express the dynamic range of the document. Of course, if the document data is already expressed in the L ^* a ^* b ^* color space, no conversion is necessary.

  FIG. 5 shows an example in which the uniform color space is expressed as a general Munsell hue ring (different colors are expressed by different hatching in the drawing). Usually, the Munsell hue ring performs multi-color classification, but a part of them is shown in FIG. In the following, description will be made using a Munsell hue ring in which the color space is divided into 10 for both hue and brightness. Of course, it is preferable to use a color palette in which the color space is further subdivided.

  In step S32, the document data of each document area subjected to color space conversion is stored and held in the large-capacity storage unit 14 or the internal storage unit 12.

  In step S33, the feature amount of position, area, color average, color dispersion, and number of colors is extracted for each document area. The document data of each document area held in the large-capacity storage unit 14 or the internal storage unit 12 is sequentially selected, and each feature amount for each document area is obtained. At this time, a document area having the maximum area among all document areas is defined as a background area.

For example, the position is determined by obtaining the position x, y of the upper left pixel for each document area. The area is determined by extracting the width w and height h of each document area. The color average and color variance are determined by calculating the arithmetic mean and variance value for the L ^* component, a ^* component, and b ^* component of all pixels in each document area, respectively. The number of colors is determined by accumulating the number of colors in which all of the L ^* component, a ^* component, and b ^* component are different for all pixels in each document area. Similarly, the color average, color dispersion, and number of colors of the entire document and the background area can be obtained.

In step S34, the color difference between each document area, the entire document, and the background area is obtained. First, differences ΔL _i ^* , Δa _i ^*, and Δb _i ^* of the respective color components with respect to the entire document are obtained for each document area. Differences ΔL _i ^* , Δa _i ^*, and Δb _i ^* between the color components are expressed by Equation (1).
(Equation 1)
[Delta] L _i ^* = color average of ^{the L *} component of the document area i - color average of the entire document ^{L *} component .DELTA.a _i ^* = color average of ^{a *} component of the document area i - entire document ^{a *} component of the color average [Delta] b _i ^* = B of the document area i ^* color average of the component-b of the entire document ^* color average of the component where i is an identification code of the document area (1)

Similarly, differences ΔL _j ^* , Δa _j ^*, and Δb _j ^* between the color components of the document area and the background area are obtained. Differences ΔL _j ^* , Δa _j ^*, and Δb _j ^* between the color components are expressed by Equation (2).

(Equation 2)
ΔL _j ^* = color average of ^{the L *} component of the document area j - color average of ^{the L *} component of the background area .DELTA.a _j ^* = color average of ^{a *} component of the document area j - the background area ^{a *} component of the color average [Delta] b _j ^* = B of the document area j ^* color average of the component-b of the background area ^* color average of the component where j is an identification code of the document area (2)

The color difference Δ _i L ^* a ^* b ^* between each document area and the entire document and the color difference Δ _bj L ^* a ^* b ^* between each document area and the background area can be obtained using Equation (3).

(Equation 3)
Δ _i L ^* a ^* b ^* = {ΔL _i ^{* 2} + Δa _i ^{* 2} + Δb _i ^{* 2} } ^1/2
Δ _bj L ^* a ^* b ^* = {ΔL _j ^{* 2} + Δa _j ^{* 2} + Δb _j ^{* 2} } ^1/2
Here, i and j are document area identifiers (3).

In step S35, the color difference between each document area and the document area adjacent to that area is obtained. When the document area i is adjacent to the document area j, the differences ΔL _ij ^* , Δa _ij ^*, and Δb _ij ^* of the respective color components are obtained using Equation (4).

(Equation 4)
[Delta] L _ij ^* = color average of ^{the L *} component of the document area i - color average of ^{the L *} component of the document area j .DELTA.a _ij ^* = color average of ^{a *} component of the document area i - of the ^{a *} component of the document area j color average [Delta] b _ij ^* = average color of ^{the b *} component of the document area i - of the document area j ^{b *} component of the color average ........................... (4)

The color difference Δ _ni L ^* a ^* b ^* between the document area i and the document area j can be obtained using Equation (5).

(Equation 5)
_Δni L ^* a ^* b ^* = {ΔL _ij ^{* 2} + Δa _ij ^{* 2} + Δb _ij ^{* 2} } ^1/2
・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ ・ （5）

If the document area is adjacent to a plurality of document areas, the difference ΔL _ij ^* , Δa _ij ^* and Δb _ij ^* of each color component with respect to all adjacent document areas is obtained, and the color difference is obtained by performing an arithmetic average thereof. Is preferably obtained.

  FIG. 6 illustrates the result of obtaining each feature amount for each document area. These feature amounts are stored and held in the mass storage unit 14 or the internal storage unit 12 in association with each document area. When the extraction of each feature amount is completed, the process proceeds to step S4 of the main routine.

  In step S4, an evaluation for the impression of the document is obtained based on each feature amount extracted in step S3. Specifically, an expression information database in which the document feature value and the expression information expressing the impression of the document are associated with each other is prepared in advance, and the expression information corresponding to the feature value extracted in step S3 is extracted. . The expression information is preferably not only text information but also image information and audio information.

  At this time, in this embodiment, the evaluation is performed using an expression information database in which different expression information is associated with the same feature value depending on the type of the document to be evaluated. The expression information database is stored and held in the internal storage unit 12 or the mass storage unit 14. In the expression information database, a condition relating to at least one feature amount and expression information relating to an impression felt by a person who sees the document are registered in association with each document type.

In the present embodiment, description will be made using an expression information database shown in FIG. 7 as an example. In this database, expression information is registered for each of the light emitting (transmissive) document type and the reflective document type for the combination of L ^* component, a ^* component, and b ^* component of the average color in the document. .

For example, when the L ^* component of the background region (the document region having the largest area) is 6, the a ^* component is 20 and the b ^* component is 10, the evaluated document is a light emitting (transmission) document in step S2. If it is determined that the expression information “decorative” is extracted, the expression information “traditional” is extracted if the evaluated document is determined to be a reflection type document. When the acquired feature amount matches other conditions, expression information associated with the conditions can be extracted.

Note that the feature quantity that can be used to extract information about the impression of the document is not limited to the combination of the L ^* component, a ^* component, and b ^* component of the average color in the document. Color average (L ^* component, a ^* component, and b ^* component), feature amount related to the color component of the document area (main area) where the color difference from the background area is equal to or larger than a predetermined value and the area is the largest, and the background is less than the predetermined value You may use the feature-value regarding the color component of the document area (accent area | region) with the largest color difference from an area | region. The feature amount includes the area of the document area, the width w and height h of the document area, the upper left positions x and y, the color average of the entire document area, the average value of the L ^* component, the average value of the a ^* component, b ^* average values of the components, the document color difference overall color average and the document area overall color average [delta] L * ^a * ^{b *,} color differences in color average of the document area to be close to the document region delta _{n L} * ^a * ^{b *,} background a color average of the color difference Δ _{^b L} * ^a * _b * of the document ^area, the color of the dispersion in the document area may be used the same color number.

  Further, a multidimensional expression information database in which conditions combining these feature quantities and expression information related to the impression of a document are associated may be used. In this way, by combining as many feature quantities as possible, the impression that the document gives to humans can be made more detailed. In particular, by using conditions that include differences in feature quantities between different document areas, such as color differences between document areas, to extract expression information that represents impressions received from places with strong contrast in the evaluated document Is also possible.

  In step S <b> 5, the output unit 16 displays information about the acquired feature amount and the extracted expression information. The output is preferably performed in such a manner that the user can easily grasp information about the document.

  For example, as shown in FIG. 8, the document 90 to be evaluated, the document color information display unit 91 showing the distribution of the area and average color of each document area included in the document to be evaluated, and the expression information extracted based on the feature amount are displayed. It is preferred to include a color image 92 to be shown and a display 93 to show the average color of the main document area.

  As shown in FIG. 9, the document color information display unit 91 obtains a color on the color palette that most closely approximates the average color of each document area for each document area included in the document to be evaluated. Then, the total area of the document areas having an average color approximate to the color is obtained, and the area proportional to the area is filled with the color of the color palette and displayed.

Specifically, as shown in FIG. 10, a database in which the screen position of the document color information display unit 91 is associated with the conditions of the color component range included in the color palette is stored in the internal storage unit 12 or the large capacity storage unit 14. Each color is referred to by referring to each color component (L ^* component, a ^* component and b ^* component) and area of the average color of each document area held in the internal storage unit 12 or the large-capacity storage unit 14 An image in which the total area of a document area having an average color that matches the condition of the component range is obtained, and the area proportional to the total area is filled with the color of the color palette at the screen position associated with the condition of the color component range Display information.

  The document color information display unit 91 allows the user to confirm at a glance the distribution of colors (average colors) included in the document to be evaluated.

  As shown in FIG. 11, the color image 92 divides the output screen area into a plurality of divided screen areas 95, and assigns in advance a condition for the feature amount included in the database in step 4 for each divided screen area 95. In step 4, the expression information extracted from the condition is displayed in the divided screen area 95 to which the condition used when extracting the information related to the impression of the document is assigned.

  Specifically, as shown in FIG. 12A and FIG. 12B, the display in which the position information of each divided screen area 95 and the condition for the feature amount included in the database shown in FIG. 7 are associated with each other. The database for information is stored in the internal storage unit 12 or the large-capacity storage unit 14 in advance, and the expression information is displayed at the position of the matching screen with reference to this database. At this time, when assigning conditions to the divided screen area 95, it is preferable to assign conditions closer to the impression that humans feel from the document to the divided screen areas 95 that are close to each other.

  For example, in the color image 92 of FIG. 11, conditions that give a “warm” impression are assigned to the left side of the color image 92, and conversely, conditions that give a “cold” impression are assigned to the right side of the color image 92. In addition, a condition that gives a “soft” impression is assigned to the upper side of the color image 92, and conversely, a condition that gives a “hard” impression is assigned to the lower side of the color image 92. However, the assignment is not limited to these, and the assignment may be changed according to information required by the user.

For example, by assigning a condition in which the a ^* component increases from the left side to the right side of the screen area and the b ^* component increases from the lower side to the upper side of the screen area, , It can be assigned to a divided screen area 95 that is closer. The same applies to other feature amounts. In this way, by assigning conditions with a tendency, it is possible to know the tendency for the impression of the document to be evaluated from the position and concentration of the information displayed on the color image 92.

  Further, a display database is registered for each document type, and processing is performed by changing the display database to be referred to according to the type of document to be evaluated determined in step S2. In this embodiment, a display database for a light emitting (transmission) document as shown in FIG. 12A and a display database for a reflection document as shown in FIG. 12B are prepared.

  For example, the document 2 which is one of the evaluated documents is a light emitting (transparent) document, and the feature information acquired from the document 2 matches the condition 2 in FIG. Is extracted, referring to the display database in FIG. 12A, the display area 96 to which the condition 2 in the color image 92 is assigned is displayed as “decorative information” as shown in FIGS. “N” is displayed. In FIG. 8 and FIG. 13, expression information (“property” and “peaceful”) is also displayed for each of the document 1 and the document 3 which are evaluated documents.

  Furthermore, it is preferable to simultaneously display information indicating feature amounts that match the conditions. For example, as shown in FIGS. 8 and 13, an area 96 proportional to the area of the document to be evaluated that satisfies the condition 2 is displayed with the average color of the document to be evaluated in the document 2 as the document to be evaluated. Thus, by simultaneously displaying text information indicating the impression of the document and information indicating the feature amount on the color image 92, the user can determine what feature amount is used to evaluate the impression of the document. It can be easily recognized in association with the feature amount. In FIGS. 8 and 13, the average color is also displayed on the color image 92 together with the expression information (“has a personality” and “peaceful”) for the document 1 and the document 3 that are evaluated documents. ing.

  In step S4, when the expression information is extracted using a condition composed of a combination of a plurality of feature quantities, the condition assigned to each divided screen area 95 in FIG. 11 is a condition composed of a combination of a plurality of feature quantities. Is preferred. In this case, the average color of the document area from which the combined feature amount is extracted may be displayed together. For example, when the expression information is extracted from a condition that combines the average colors of the background area, the main area, and the accent area of the document to be evaluated, as shown in FIG. 14, the extracted expression information (here “has a personality”) and It is preferable that the average colors of the background area, main area, and accent area used for the extraction are displayed on the color image 92 at the same time. In addition, it is preferable to display the average colors of the background area, the main area, and the accent area on the display unit 93 that indicates the average color of the main document area.

  In this way, by presenting the result of extracting the feature amount of the main document area of the document to be evaluated, the user can compare with the display of the color image 92 and determine what kind of feature value of each document area. You can clearly see if an impression is given.

  In the present embodiment, documents are classified into light-emitting (transmission-type) documents and reflection-type documents, and processing is performed according to each document type. However, the present invention is not limited to this. The document to be evaluated may be classified and processed according to “purpose of use”. For example, as shown in FIG. 15, an expression information database in which documents are classified according to the purpose of use, such as “web”, “catalog”, etc., and expression information is associated for each purpose of use with respect to feature condition It is preferable to use it. In this case, it is preferable to use a display database in which screen positions are associated with feature conditions for each purpose of use.

  Further, processing may be performed by classifying the type according to the environment in which the evaluated document is used. Specifically, based on the difference in brightness or brightness contrast between the evaluated document and the surrounding environment where the evaluated document is used, the evaluated document is determined according to whether the contrast is equal to or higher than a predetermined threshold. Classify types. This is a process that focuses on the impression that the document gives to the user depending on the contrast with the surrounding environment. For example, even when the document is displayed on a device such as a display with relatively high brightness, It is possible to appropriately evaluate the difference in impression that the document gives to the user when the display is used outdoors in a bright environment and when the display is used indoors where the surroundings are relatively dark.

  Further, in the present embodiment, a different expression information database and display database are used for each document type. However, the same expression information database and display database can be used for processing regardless of the document type. . For example, the feature quantity extracted in step S3 is corrected according to the document type, the expression information associated with the condition that the corrected feature quantity satisfies is extracted with reference to the expression information database, Expression information or the like is displayed in a divided screen area on a color image associated with a condition that is satisfied by a feature amount corrected with reference to the database.

<Second document impression evaluation method>
The second document impression evaluation method will be described below. In the second document impression evaluation method, a color palette including a plurality of colors is prepared in advance, a database is prepared in which expression information representing the impression of the document is assigned to a combination of the colors included in the color palette. A feature amount relating to the color is extracted from the evaluation document, and the expression information assigned to the color on the color palette corresponding to the feature amount is selected and displayed.

  A document impression evaluation processing method using a color palette will be described below with reference to the drawings. Similar to the first document impression evaluation method, as shown in FIG. 2, the input of the document to be evaluated (step S1), the determination of the document type (step S2), and the subroutine for acquiring the physical feature amount (step S3) , Including impression evaluation extraction (step S4) and evaluation result output (step S5), and is executed by sequentially performing each step.

  In steps S1 and S2, processing is performed in the same manner as in the first document impression evaluation method, and a description thereof will be omitted.

  In step S3, a feature amount is calculated for each document area, and a feature amount relating to the color in the document region is associated with a color on the color palette. Step S3 is processed as a subroutine as shown in FIG.

In step S31, the color space of the document data in each document area is converted from the RGB space to the L ^* a ^* b ^* space. In step S32, the document data of each document area subjected to color space conversion is stored and held in the large-capacity storage unit 14 or the internal storage unit 12. Since these processes are the same as those in the first document impression evaluation method, description thereof will be omitted.

  In step S37, the feature quantity of the position, area, color dispersion, and number of colors is extracted for each document area, and the color on the color palette that most closely approximates the color average feature quantity of each document area is also characterized. Calculate as a quantity.

  Since the calculation method of the feature amount regarding the position, area, color dispersion, and number of colors of each document area is the same as the first document impression evaluation method, description thereof is omitted.

  The feature amount of the color on the color palette is obtained by performing pattern matching based on the color average of each document area calculated in the same manner as the first document impression evaluation method, so that the color palette is closest to the color average. Find the color.

  In step S38, the base color, sub color, and accent color are calculated based on the color palette color obtained for each document area and the area of the document area. Here, the base color is a color used in the maximum area in the document to be evaluated. The sub color is a color in which the color difference from the base color is not less than a predetermined value and two colors used in a wider area are selected in order. The accent color is a color that is selected from two colors in order from the one in which the used area is equal to or less than a predetermined ratio to the area of the evaluated document and the color difference from the base color is larger. FIG. 17 illustrates one selected base color, two sub colors, and two accent colors. However, the color selection conditions are not limited to these, and any color that clearly shows the characteristics of the document to be evaluated may be used.

  In step S4, based on the selected color, that is, the base color, the sub color, and the accent color, information on the impression given to the person by the evaluated document is extracted. Specifically, an expression information database is created in advance by associating conditions that combine base colors, sub-colors, or accent colors with expression information related to impressions received by humans from the combinations, and select the selected base color and sub-color. Expression information associated with a condition that matches the combination of color and accent color is extracted.

  At this time, also in the present embodiment, the evaluation is performed using the expression information database in which different expression information is associated with the condition combining the base color, the sub color, or the accent color according to the type of the document to be evaluated.

  An example will be described using the database shown in FIG. This database includes a database on the condition of the combination of the base color and the two sub-colors and a database on the condition of the combination of the two accent colors. However, the combination conditions of the base color, the sub color, and the accent color are not limited to these, and other combinations may be used as the conditions.

  Referring to these databases, for example, in step S2, the document to be evaluated is determined as a light emitting (transmission) document, and the base color, sub color, and accent color selected from the document to be evaluated are extracted as shown in FIG. The text information “classic” and “clear” can be extracted.

  In step S5, the output unit 16 displays the selected base color, sub color, accent color, and extracted expression information. The output is preferably performed in such a manner that the user can easily grasp information about the document.

  For example, as shown in FIG. 19, a document 160 to be evaluated 160, a document color information display unit 161 indicating the color area on the color palette included in the document to be evaluated, and a color image that displays expression information extracted from the selected color. It is preferable to include a display unit 163 that displays 162 and the selected color.

  Similarly to the first document impression evaluation method, the document color information display unit 161 displays the color area on the color palette included in the document to be evaluated and the screen area proportional to the area on the color palette. It is displayed filled with.

  The color image 162 divides an output screen area into a plurality of divided screen areas, assigns a condition composed of a combination of a base color, a sub color, and an accent color to each divided screen area, and is used when extracting expression information The expression information extracted from the condition is displayed in the area to which the condition that matches is assigned. In addition, it is also preferable to display the base color, the sub color, and the accent color used for extracting the expression information.

  At this time, as in the first embodiment, a display database is prepared for each document type, and the representation information and the display database corresponding to the evaluated document type determined in step S2 are referred to. Determines the screen position for displaying the color. Since the specific method is the same as the first document impression evaluation method, the description thereof is omitted here.

  As described above, according to the first and second document impression evaluation methods, information on the impression that the document gives to the human from the feature amount suitable for evaluating the impression that the document gives to the human and the condition that the combination satisfies. Can be presented automatically. Therefore, even a user who has little experience in document creation can obtain information regarding an accurate impression only by inputting document data. In addition to the information related to the impression that the document gives to humans, the feature quantities used in the evaluation can be presented in an easy-to-understand manner for the user, and the user can easily grasp general information about the document. be able to.

  Furthermore, the impression of a document can be appropriately evaluated according to the document type by using a database suitable for the evaluation of the document type, or by correcting the feature amount according to the document type.

<Third document impression evaluation method>
In the case of a document in which content such as a hypertext format is structured, it is possible to automatically perform segmentation of the document and extraction of feature amounts by analyzing the syntax of text information constituting the content.

  Hereinafter, a processing method for impression evaluation of a structured document will be described with reference to the drawings. Similar to the first document impression evaluation method, input of the document to be evaluated (step S1), discrimination of the document type (step S2), a subroutine for acquiring physical features (step S3), extraction of impression evaluation (step S4) and an evaluation result output (step S5), which are executed by sequentially performing each step.

  In step S1, an evaluation document is acquired in the same manner as in the first document impression evaluation method. At this time, when the document to be evaluated is divided into a plurality of areas, the structured document data is analyzed and divided into divided document areas for each structured content. For example, when a document described in the HTML format read from the network 26 is an evaluation target, the content enclosed by each tag included in the document data is set as one divided document area. For example, a portion between a <head> tag and a </ head> tag can be divided as a header portion.

  In step S2, the type of document to be evaluated is determined. Since the process here is the same as that of the first embodiment, a description thereof will be omitted.

  In step S3, a feature amount is extracted from each document area divided in step S2. That is, information such as color, size, and arrangement for each content divided as each document area is extracted as a feature amount.

  Hereinafter, in step S4 and step S5, processing is performed in the same manner as in the first document impression evaluation method, and thus description thereof is omitted.

  As described above, according to the third document impression evaluation method, it is possible to extract feature amounts from structured document data such as a hypertext format and present information related to impressions given to humans by the document. Furthermore, by combining the document data in the bitmap format of the document to be evaluated and the above parsing, more accurate area division can be performed.

  Of course, in the second and third document impression evaluation methods, similarly to the first document impression evaluation method, the document to be evaluated may be classified and processed according to the “purpose of use”. Further, processing may be performed by classifying the type according to the environment in which the evaluated document is used.

  Furthermore, although different expression information databases and display databases are used for each document type, processing may be performed using the same expression information database and display database regardless of the document type.

It is a block diagram of the structure of the document impression evaluation apparatus in this Embodiment. It is a figure which shows the flowchart of the 1st document impression evaluation method in this Embodiment. It is a figure which shows the example of the document used as evaluation object. It is a figure which shows the flowchart of step S3 of the 1st document impression evaluation method in embodiment of this invention. It is a figure which shows the Munsell hue ring in uniform color space. It is a figure which shows the example of the feature-value acquired with the 1st document impression evaluation method in embodiment of this invention. It is a figure which shows the example of the expression information database used with the 1st document impression evaluation method in embodiment of this invention. It is a figure which shows the example of an output of the evaluation result of the 1st document impression evaluation method in embodiment of this invention. It is explanatory drawing of the method of displaying the document color information display part of the 1st document impression evaluation method in embodiment of this invention. It is explanatory drawing of the method of displaying the document color information display part of the 1st document impression evaluation method in embodiment of this invention. It is explanatory drawing of the method of displaying the color image of the 1st document impression evaluation method in embodiment of this invention. It is explanatory drawing of the method of displaying the color image of the 1st document impression evaluation method in embodiment of this invention. It is a figure which shows the example of a display of the color image of the 1st document impression evaluation method in embodiment of this invention. It is a figure which shows another example of a display of the evaluation result of the 1st document impression evaluation method in embodiment of this invention. It is a figure which shows another example of the expression information database used with the 1st document impression evaluation method in embodiment of this invention. It is a figure which shows the flowchart of the 2nd document impression evaluation method in embodiment of this invention. It is a figure which shows the example of the base color, sub color, and accent color which were acquired with the 2nd document impression evaluation method in embodiment of this invention. It is a figure which shows the example of the expression information database used with the 2nd document impression evaluation method in embodiment of this invention. It is a figure which shows the example of an output of the evaluation result of the 2nd document impression evaluation method in embodiment of this invention.

Explanation of symbols

  10 control section, 12 internal storage section, 14 large capacity storage section, 16 output section, 18 standard input section, 20 document input section, 22 interface section, 24 bus, 26 network, 30 header section, 31 title section, 32 header section , 33 Link button part, 34 Image image part, 35 Text part, 90 Document to be evaluated, 91 Document color information display part, 92 Color image, 93 Average color display part, 95 Split screen area, 96 Display area, 160 Document to be evaluated 161 Document color information display section, 162 color image, 163 color display section.

Claims (6)

A document impression evaluation device that presents information about an impression given to a human by the document based on visual information extracted from the document,
The type of document to be evaluated is a document in which the document to be evaluated is expressed by a luminescent or transparent medium if the difference between the maximum and minimum luminance values of the document to be evaluated is a predetermined value or more. and document discrimination means for discriminating a document represented by the discriminated, reflective media is less than the predetermined value,
Feature quantity extraction means for extracting at least one feature quantity from the evaluated document;
For each document type, referring to an expression information database that associates a condition for at least one visual feature amount related to the document with expression information representing an impression felt by a person who viewed the document, Expression information extraction means for extracting expression information associated with a type and a condition that the feature amount of the document to be evaluated satisfies,
An output means for outputting the extracted expression information as information on an impression given to a human by the document to be evaluated;
A document impression evaluation device comprising: The document impression evaluation device according to claim 1,
The output means divides the area of the output screen into a plurality of divided screen areas, assigns the condition to each of the divided screen areas, and assigns the condition to the divided screen area corresponding to the condition satisfied by the feature amount of the evaluated document. A document impression evaluation apparatus characterized by displaying extracted expression information. The document impression evaluation device according to claim 1 or 2,
The output means divides the area of the output screen into a plurality of divided screen areas, assigns the condition for each of the divided screen areas, and assigns the condition to the divided screen area corresponding to the condition satisfied by the feature amount of the evaluated document. A document impression evaluation apparatus characterized by displaying information on a feature amount of a document to be evaluated. A document impression evaluation program for performing a document impression evaluation based on visual information extracted from a document and presenting information on an impression given to a human by the document,
Computer
The type of document to be evaluated is a document in which the document to be evaluated is expressed by a luminescent or transparent medium if the difference between the maximum and minimum luminance values of the document to be evaluated is a predetermined value or more. and document discrimination means for discriminating a document represented by the discriminated, reflective media is less than the predetermined value,
Feature quantity extraction means for extracting at least one feature quantity from the evaluated document;
For each document type, referring to an expression information database that associates a condition for at least one visual feature amount related to the document with expression information representing an impression felt by a person who viewed the document, Expression information extraction means for extracting expression information associated with a type and a condition that the feature amount of the document to be evaluated satisfies,
An output means for outputting the extracted expression information as information on an impression given to a human by the document to be evaluated;
Document impression evaluation program characterized by functioning as   A document impression evaluation device that presents information about an impression given to a human by the document based on visual information extracted from the document,
  Feature quantity extraction means for extracting at least one feature quantity from the evaluated document to be evaluated;
  At least one visual feature for the document for each type of the evaluated document that indicates whether the evaluated document input by the user is a document represented by luminescent or transmissive or reflective media Referring to the expression information database that associates the condition for the quantity with the expression information that expresses the impression that the person who sees the document feels, associates the type of the document to be evaluated and the condition that the feature value of the document to be evaluated satisfies Expression information extracting means for extracting the expressed expression information;
  An output means for outputting the extracted expression information as information on an impression given to a human by the document to be evaluated;
A document impression evaluation device comprising:   A document impression evaluation program for performing a document impression evaluation based on visual information extracted from a document and presenting information on an impression given to a human by the document,
  Computer
  Feature quantity extraction means for extracting at least one feature quantity from the evaluated document to be evaluated;
  At least one visual feature for the document for each type of the evaluated document that indicates whether the evaluated document input by the user is a document represented by luminescent or transmissive or reflective media Referring to the expression information database that associates the condition for the quantity with the expression information that expresses the impression that the person who sees the document feels, associates the type of the document to be evaluated and the condition that the feature value of the document to be evaluated satisfies Expression information extracting means for extracting the expressed expression information;
  An output means for outputting the extracted expression information as information on an impression given to a human by the document to be evaluated;
Document impression evaluation program characterized by functioning as

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