WO2013145445A1 - 色評価装置、色評価方法及びコンピュータ・プログラム - Google Patents
色評価装置、色評価方法及びコンピュータ・プログラム Download PDFInfo
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- WO2013145445A1 WO2013145445A1 PCT/JP2012/080982 JP2012080982W WO2013145445A1 WO 2013145445 A1 WO2013145445 A1 WO 2013145445A1 JP 2012080982 W JP2012080982 W JP 2012080982W WO 2013145445 A1 WO2013145445 A1 WO 2013145445A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
Definitions
- the present invention relates to the technical field of information processing for evaluating the appropriateness of color.
- the color evaluation apparatus disclosed in Patent Document 1 extracts color and image information from layer / color arrangement information according to Web content. Next, the color evaluation apparatus calculates an index value (brightness, hue, saturation) relating to readability from the color and image information. Finally, the color evaluation apparatus uses the index value and evaluates readability in a multi-stage and comprehensive manner based on the extracted information. In that way, the color evaluation apparatus inspects the readability of the character color and the background color, and further presents a recommended color.
- Patent Document 2 assigns a base color and an emphasis color according to the area of objects constituting a document and the occupation ratio of the entire document.
- the technique arranges an accent color that is an emphasized color for an object having the smallest area and a base color that is a base color for an object having the largest area.
- Patent Document 3 analyzes input content and obtains its feature data. Next, the technique checks the relationship between the obtained feature data and the input index data, and weights each index data according to the relationship. Next, the technology associates the content with a plurality of index data subjected to weighting processing and registers them in a database.
- a main object of the present invention is to provide a color evaluation apparatus and the like that can evaluate the appropriateness of the color arrangement in the image to be evaluated.
- the color evaluation apparatus according to the present invention has the following configuration.
- the color evaluation apparatus is A partial image specifying unit for specifying a partial area of the input image; Color information for specifying a color included in the partial area; an information acquisition unit for acquiring a first character string included in the partial area; A first extraction unit for extracting a second character string previously associated with the color information; And an evaluation unit that evaluates the appropriateness of the color information according to a result of comparing the first character string and the second character string.
- the color evaluation method is Identify the partial area of the input image, Obtaining color information for specifying a color included in the partial area, and a first character string included in the partial area; Extract a second character string previously associated with the color information, The suitability of the color information is evaluated according to the result of comparing the first character string and the second character string.
- Another object of the present invention is to use a computer program for realizing the color evaluation apparatus having the above-described configuration and the corresponding method using a computer, and a computer-readable storage medium storing the computer program. Is also achieved.
- FIG. 1 is a block diagram showing the configuration of the color evaluation apparatus according to the first embodiment.
- a color evaluation apparatus 101 includes a dividing unit 102 that is a partial image specifying unit that specifies a partial region of an input image, color information that specifies a color included in the partial region, and An acquisition unit 103 that is an information acquisition unit that acquires a character string included in the partial area, an extraction unit 104 that is an extraction unit that extracts a character string associated with color information in advance, and an evaluation that evaluates the appropriateness of the color information Unit 105.
- the color evaluation apparatus 101 receives the evaluation target screen information as an input.
- the evaluation target screen information is information for generating image information (image data) constituting an image to be displayed on a display device (not shown in FIG. 1).
- the evaluation target screen information is expressed using a language such as HyperText Markup Language (hereinafter abbreviated as “HTML”) and image data such as a bitmap format.
- HTML HyperText Markup Language
- image data such as a bitmap format.
- the dividing unit 102 divides image information (image data) (hereinafter, sometimes abbreviated as “screen”) constituting an image to be displayed on the display device into at least one or more small regions.
- image data image data
- one small area may be a portion corresponding to a description surrounded by a certain start tag and a corresponding end tag.
- a description portion surrounded by a certain start tag and a corresponding end tag is referred to as a “tag scope”.
- the dividing unit 102 divides the image data into the small areas as described above.
- the dividing unit 102 divides the image data into small regions having the same type of information using an existing image processing technique or the like.
- the dividing unit 102 divides the screen into small regions as follows. That is, the dividing unit 102 divides the screen into a title area 110, a navigation area 111, a heading area 112, an input area 113, an input area label area 114, an auxiliary information area 115, an auxiliary information area 116, The button area 117 and the background 118 are divided into nine small areas.
- component means a small area divided using tag scope analysis or image processing technology.
- screen configuration indicates a state in which components existing on the screen are combined. Further, the examination of the screen configuration can be realized by analyzing the tag scope or image processing technology as described above. Note that “divided” includes the case where there is one component.
- the acquisition unit 103 acquires a color existing in each small area created by the division unit 102 and a character string representing the meaning of the information. These character strings express the meaning of telling the user who viewed the screen using a display device for each small area.
- FIG. 2 is a diagram illustrating an example of an evaluation target screen in the first embodiment.
- FIG. 2 is a diagram illustrating an example of the evaluation target screen in the second to fifth embodiments as well as the first embodiment.
- This screen includes a title area 110 that indicates the title of the screen, a navigation area 111 that displays a description of the current position and operations performed on the screen, a heading area 112 that displays a headline, and an input area 113 that inputs information and the like.
- information such as the label area 114 of the input area indicating the label of the input area is included in a color-coded manner according to each area.
- the heading area 112 is colored in blue.
- the auxiliary information area 115 is colored in red.
- the auxiliary information area 116 is colored purple. That is, it is color-coded according to each area.
- This screen may include areas other than those described above.
- the auxiliary information area 115 is an area in which a text indicating “prohibited” is displayed as a character string. That is, the auxiliary information area 115 is an area for displaying information meaning “prohibited”.
- the information associated with the area includes not only information existing in the area but also information such as an auxiliary information area and a label area related thereto.
- FIG. 3 is a diagram illustrating an example of the area information table in the first embodiment.
- FIG. 3 is a diagram showing an example of the area information table in the second to fifth embodiments as well as the first embodiment.
- the area information table T2 includes information about each small area existing in the image, an identifier for distinguishing the small area, its position coordinates, its height, its width, and a notation representing the color (hereinafter, “color information”).
- color information I3 a further reference numeral is added and described as “color information I3”
- a character string or the like representing the meaning of display information associated therewith is stored in association with each other.
- the operation of the dividing unit 102 and the acquiring unit 103 will be described with reference to FIGS.
- the evaluation target screen information I1 is described using HTML.
- the division unit 102 and the acquisition unit 103 may use an image even in a language other than HTML. The description is omitted below because the same operation is performed.
- the dividing unit 102 divides the screen into at least one or more small areas. For example, when the screen is described using HTML, the dividing unit 102 analyzes the tag scope and divides it into the small areas as described above.
- the acquisition unit 103 acquires the color information I3 of each small area.
- the acquisition unit 103 refers to a cascading style sheet (Cascading Style Sheets, hereinafter referred to as CSS) or the like, and the color information I3, position coordinates, height, width, and small area of the small area Get the attributes etc. Note that if the acquisition unit 103 determines that the color in the small area is not uniform, the acquisition unit 103 may acquire the median value or the like as the color of the small area.
- CSS cascading style sheet
- the acquisition unit 103 acquires a character string in each small area divided by the division unit 102.
- the method for obtaining the character string may be an Optical Character Reader (hereinafter abbreviated as “OCR”) or may be read as a character string.
- OCR Optical Character Reader
- the acquisition unit 103 acquires the acquired character string, the color information I3 acquired by the acquisition unit 103, the position coordinates, the height, the width, and the attributes of the small region for one small region to be evaluated. Are added to the area information table T2 as a row of the area information table T2.
- the acquisition unit 103 may perform the above processing for all the small areas created by the dividing unit 102. In addition, the acquisition unit 103 may perform the above processing for a small area from which a character string can be acquired. Thereby, the acquisition unit 103 creates a row of the region information table T2 for the small region divided by the dividing unit 102.
- the extraction unit 104 extracts color information from the area information table T2 for each small area. Then, the extraction unit 104 extracts a character string representing a color image associated with the extracted color information in advance.
- the character string representing the color image stores a table (not shown) in which the color information and the character string representing the color image for the color information are associated with each other, and at least one kind of such a table is stored. It may be stored in a database (not shown).
- the extracting unit 104 can extract a character string representing a color image associated with the extracted color information in advance by referring to the table or the database. A plurality of character strings may be extracted.
- FIG. 4 is a diagram illustrating an example of the specification information table in the first embodiment.
- the extraction unit 104 associates the extracted character string as a color image with a row of the area information table T2, and creates a row of the specification information table T3.
- FIG. 4 is a diagram showing an example of the specification information table in the second to fifth embodiments as well as the first embodiment.
- the evaluation unit 105 takes out one row from the specification information table T3. Each row in the table represents being associated with each other. This is the same in the description of other parts, regardless of the type of table.
- the evaluation unit 105 compares the extracted character string representing the meaning of the display information with the character string associated as the color image. When there are a plurality of character strings associated as color images, a character string included in the character strings is compared with a character string representing the meaning of display information. Thus, taking out a character string from a character string or character string group associated with a color is expressed as “associating from color”.
- the evaluation unit 105 if there is a character string that matches the character string representing the meaning of the small area in the character string associated as the color image (hereinafter, including a plurality of character strings), The small area color is evaluated as “no problem with color scheme”. On the other hand, if there is no character string that matches the character string representing the meaning of the small area in the character string group associated as the color image, the evaluation unit 105 determines that there is a problem with the color arrangement for the color of the small area. evaluate. The evaluation unit 105 may perform these processes for all the rows in the specification information table T3.
- FIG. 5 is a flowchart relating to processing of the color evaluation apparatus according to the first embodiment. The operation of the color evaluation apparatus according to the first embodiment will be described with reference to the flowchart of FIG.
- the dividing unit 102 divides the screen data to be evaluated into small areas.
- the acquisition unit 103 extracts the color and character string of each small region, associates the extracted information, and registers the information in the region information table T2 (step S101).
- the extraction unit 104 refers to an external table or database and creates a specification information table T3 (step S102). Then, the extraction unit 104 transmits the specification information table T3 and the character string assigned to the small area to the evaluation unit 105.
- the evaluation unit 105 matches the character string assigned to the small area with the character string associated as the color image related to the color assigned to the small area. It is checked whether or not (step S103). As a result, when the matching character string is included, the evaluation unit 105 evaluates “no problem with the color scheme” (step S104), while the evaluation unit 105 includes the matching character string. If not, it is evaluated that “there is a problem with the color scheme” (step S105).
- the color evaluation apparatus determines whether or not a character string representing a color image of a color assigned to each small area of the evaluation target screen matches a character string representing information on the small area. To assess the appropriateness of the color scheme and the meaning contained in the subregion.
- the color evaluation apparatus according to the first embodiment, it is possible to evaluate the appropriateness of the color scheme of the area in the image to be evaluated and the meaning included in the area.
- the color evaluation apparatus 101 can also be configured to receive an evaluation reference area name as input.
- the acquisition unit 103 searches for a table associated with the evaluation reference area name from an external table or database, and performs the above-described processing represented by step S102 while referring to the table. good.
- a table in which color information and a character string representing a color image for the color information are associated may be stored for each evaluation reference area name. According to this configuration, the color evaluation apparatus 101 can perform a color arrangement evaluation according to a region.
- FIG. 6 is a block diagram showing the configuration of the color evaluation apparatus according to the second embodiment.
- the color evaluation apparatus according to the second embodiment further includes an extraction unit 106 and a storage unit 127 instead of the extraction unit 104 in addition to the configuration of the color evaluation apparatus according to the first embodiment. Prepare.
- the storage unit 127 stores a color image database 107.
- the color image database 107 includes a color image table T1 (hereinafter simply referred to as “color image”) in which color information and a character string representing an image (color image) that a user feels when viewing a color represented by the color information. At least one color image table).
- color image table The structure of the color image table is as follows.
- FIG. 7 is a diagram illustrating an example of information held in the color image database 107 according to the second embodiment.
- FIG. 7 is a diagram showing an example of information held in the color image database 107 in not only the second embodiment but also third to fifth embodiments described below.
- the color image database 107 has at least one color image table.
- the color image table may be associated with the evaluation reference area name.
- the color image database 107 has a color image table 108 associated with Japan and a color image table 109 associated with China.
- the following description will be made using the color image table 108.
- the following description is not limited to the color image table 108, but may be a color image table other than this.
- the color image table 108 includes a color name, a notation using a hexadecimal number corresponding to the color (hereinafter abbreviated as “hexadecimal notation”), a Hue / Lightness / Saturation value (hereinafter abbreviated as “HLS value”). And a word expressing a color image are associated with each other.
- the word expressing the color image may be a character string.
- the color image table 108 may be associated with values other than those described above, or may not necessarily be associated with all items illustrated here.
- a numerical value representing a color includes various expressions such as a Red, Green, Blue (hereinafter abbreviated as “RGB”) value, an HLS value, and a hexadecimal notation. May be included.
- the color image table 108 stores expressions according to at least one notation method so that the input evaluation target color can be handled in any notation.
- the character string representing the color image existing in the color image table 108 represents an image that many people feel when looking at the color as a character string, and is an aggregation of the characters.
- the color # FF0000 in hexadecimal notation means “passion, ban, push-in, revolution, ...” near Japan, and “prohibition, wedding, bridal gown, ... ”And so on. Since the color image varies depending on the region, the color image database 107 can also have at least one color image table 108 associated with the evaluation reference region name.
- the extracting unit 106 extracts color information from the region information table T2 for each small region, and compares the extracted color information with the color information in the color image table 108 in the storage unit 127. Then, the extraction unit 106 extracts a character string representing the color image associated with the color information of the small area from the color image table 108. Next, the extraction unit 106 associates the row of the related area information table T2 with the extracted character string for each small area, and registers them in the specification information table T3 as a set (FIG. 4).
- the acquisition unit 103 retrieves the color image table 108 related to the area name from the storage unit 127 and then performs the above-described processing.
- step S602 in FIG. 8 in the present embodiment will be mainly described.
- the overlapping description is abbreviate
- FIG. 8 is a flowchart regarding processing of the color evaluation apparatus according to the second embodiment. The operation of the color evaluation apparatus according to the second embodiment will be described with reference to the flowchart of FIG.
- the retrieving unit 106 searches the storage unit 127 for the color image table 108 associated with the received evaluation reference area name, and creates the specification information table T3 as described above (step S602). Then, the extraction unit 106 transmits the specification information table T3 and a character string representing the information on the small area to the evaluation unit 105.
- a character string representing a color image associated with a color assigned to each small area of the evaluation target screen matches a character string representing information on the small area. Whether the color scheme and the meaning contained in the small area are appropriate.
- the color evaluation apparatus it is possible to evaluate the appropriateness of the color scheme of the area in the evaluation target image and the meaning included in the area.
- FIG. 9 is a block diagram showing a configuration of a color evaluation apparatus according to the third embodiment.
- the color evaluation apparatus 119 includes a dividing unit 102, an acquiring unit 103, an extracting unit 104, a semantic similarity calculating unit 120, and a matching evaluation unit 121. .
- FIG. 10 is an example of the semantic similarity table T4 in the third embodiment.
- the semantic similarity table T4 includes area information I4, area display information meaning S2 (hereinafter referred to as a “character string representing the meaning of area display information”), and a character string representing a color image of the small area. And the calculated semantic similarity are associated with each other.
- region information I4 information including the position coordinates, height, width, and region color of each small region can be used.
- the semantic similarity table T4 is not limited to the items exemplified here.
- the semantic similarity calculation unit 120 extracts one row from the specification information table T3.
- the semantic similarity calculation unit 120 calculates the similarity between the character string representing the meaning of the display information and the character string representing the color image in the extracted line.
- LSA latent semantic analysis
- a character string representing the meaning of display information in a small area and a color image character string S1 (hereinafter referred to as a “character string representing a color image”) are each represented as a vector in the semantic space.
- the LSA calculates the cosine of the angle formed by these vectors, and the result is obtained by calculating the semantic similarity between the character string representing the meaning of the display information of the small area and the character string representing the color image of the area. To do.
- the value of the semantic similarity becomes higher as the similarity between character strings is higher.
- the method of calculating the semantic similarity in the third embodiment is not limited to LSA, and may be calculated by other calculation methods.
- the semantic similarity calculation unit 120 associates one row extracted from the specification information table T3 with the result of the similarity performed above, and sets it as a set for all rows of the specification information table T3. .
- the semantic similarity calculation unit 120 stores all sets obtained as a result of calculating the similarity for all rows of the specification information table T3 in the semantic similarity table T4.
- the coincidence evaluation unit 121 receives the semantic similarity table T4, and if the calculated similarity is equal to or greater than a predetermined threshold value, evaluates “no problem in color scheme”, and if the calculated similarity is less than the predetermined threshold value. If there is a problem with the color scheme, it is evaluated.
- FIG. 11 is a flowchart regarding processing performed by the color evaluation apparatus according to the third embodiment.
- the characteristic part according to the present embodiment will be mainly described, and the same processes as those in the first embodiment described above will be denoted by the same reference numerals, and redundant description will be omitted. To do.
- the semantic similarity calculation unit 120 extracts one row from the specification information table T3.
- the semantic similarity calculation unit 120 calculates the similarity between the character string representing the meaning of the display information and the character string representing the color image for the extracted line.
- the semantic similarity calculation unit 120 associates one row extracted from the specification information table T3 with the similarity calculated above, and a set of the one row configured by the association and the similarity. (Pair) is registered in the semantic similarity table T4.
- the semantic similarity calculation unit 120 generates such a set for all rows of the specification information table T3 (step S203).
- the coincidence evaluation unit 121 receives the semantic similarity table T4, and determines whether or not the calculated similarity is equal to or greater than a predetermined threshold (step S204). If the calculated similarity is greater than or equal to a predetermined threshold, it is evaluated that “there is no problem with the color scheme” (step S205), and if the calculated similarity is less than the predetermined threshold, it is evaluated that “there is a problem with the color scheme” ( Step S206).
- the color evaluation apparatus has a similarity between a character string representing a color image associated with a color assigned to each small area of the evaluation target screen and a character string associated with the small area. , And whether or not the result value is equal to or greater than a predetermined threshold is evaluated, and the appropriateness of the color scheme and the meaning included in the small area is evaluated according to the result.
- the color evaluation apparatus according to the third embodiment, it is possible to evaluate the appropriateness of the color scheme of the area in the evaluation target image and the meaning included in the area.
- the color evaluation apparatus calculates similarity between a character string representing the meaning of display information existing in a region and a character string representing a color image of the region, thereby calculating the similarity. It is calculated as a continuous value. Therefore, according to the color evaluation apparatus according to the third embodiment, the degree of similarity between the color image that is perceived by looking at the color assigned to each small area on the evaluation target screen and the meaning of the information displayed in the small area is determined. I can know.
- the color evaluation apparatus according to the third embodiment is based on the first embodiment.
- the color evaluation apparatus according to the third embodiment may acquire the color image database 107 from the storage unit 127 as in the second embodiment. Even in that case, according to the color evaluation apparatus according to the third embodiment, all of the same effects as described above can be obtained.
- FIG. 12 is a block diagram showing a configuration of a color evaluation apparatus according to the fourth embodiment.
- the configuration of the color evaluation apparatus 122 in the fourth embodiment is different from the first embodiment described above in that a color recommendation unit 123 is further provided.
- the color recommendation unit 123 When the evaluation unit 105 evaluates that “there is a problem with the color scheme”, the color recommendation unit 123 includes the meaning of the display information of the area in the character string group representing all the color images in the color image table existing in the color database. It is checked whether there is a character string that matches the character string representing. Next, when there is a matching character string, the color recommendation unit 123 acquires color information related to the character string. When there is no matching character string, the color recommendation unit 123 generates information indicating “no recommended color”. As such, the color recommendation unit 123 selects a color suitable for the area. In the above description, the color recommendation unit 123 is based on whether or not the character strings match, but similar processing can be performed based on similarity.
- the color recommendation unit 123 uses a technique such as LSA to compare each character string in the character string group representing the color image with a character string representing the meaning of the display information of the area. Calculate the degree. Next, the color recommendation unit 123 acquires color information associated with the character string having the maximum calculated similarity. As such, the color recommendation unit 123 selects a color suitable for the area.
- a technique such as LSA to compare each character string in the character string group representing the color image with a character string representing the meaning of the display information of the area. Calculate the degree.
- the color recommendation unit 123 acquires color information associated with the character string having the maximum calculated similarity. As such, the color recommendation unit 123 selects a color suitable for the area.
- FIG. 13 illustrates a flowchart regarding processing performed by the color evaluation apparatus according to the fourth embodiment.
- the color recommendation unit 123 displays all the colors in the color image table that exist in the color database. It is checked whether there is a character string that matches the character string representing the meaning of the display information in the small area in the character string representing the image (step S305). Next, when there is a matching character string, the color recommendation unit 123 acquires color information paired with the character string, and when there is no matching character string, generates information indicating “no recommended color” To do. As such, the color recommendation unit 123 selects a recommended color that is suitable for the area (step S306). In the above description, the color recommendation unit 123 is based on whether or not the character strings match. However, similar processing is performed even if the similarity is used as in the color evaluation apparatus according to the third embodiment. Can do.
- the color evaluation apparatus according to the fourth embodiment, it is possible to evaluate the appropriateness of the color scheme of the area in the image to be evaluated and the meaning included in the area.
- the color evaluation apparatus in addition to the effect according to the third embodiment, if the color scheme in the area is inappropriate, the meaning represented by the character string associated with the area The color suitable for is presented to the user using a display device (not shown).
- the color evaluation apparatus according to the fourth embodiment is based on the first embodiment.
- the color evaluation apparatus according to the fourth embodiment may acquire the color image database 107 from the storage unit 127 as in the second embodiment. Even in that case, according to the color evaluation apparatus according to the fourth embodiment, it is possible to obtain all the same effects as described above.
- FIG. 14 is a block diagram showing a configuration of a color evaluation apparatus according to the fifth embodiment.
- the color evaluation device 124 according to the fifth embodiment further includes a color image learning unit 125 in addition to the configuration of the color evaluation device according to the third embodiment.
- the color image learning unit 125 uses the character string in the color image table. It is added to the character string representing the color image associated with the color having the same value as the color of the small area where the character string exists. By doing so, the color evaluation apparatus according to the fifth embodiment can increase the types of character strings representing color images.
- FIG. 15 is a flowchart regarding processing performed by the color evaluation apparatus according to the fifth embodiment.
- the color image learning unit 125 uses a character string representing the meaning of the small area as a character string in the color image table. A line having the same value as the color of the small area is added to the character string representing the color image (step S407).
- the color evaluation apparatus calculates a similarity between a character representing a color image of a color assigned to each small region of the evaluation target screen and a character string representing the meaning of the small region, Whether the result value is equal to or greater than a predetermined threshold value is examined, and the appropriateness of the color arrangement and the meaning included in the small area is evaluated.
- the color evaluation apparatus according to the fifth embodiment, it is possible to evaluate the appropriateness of the color scheme of the area in the image to be evaluated and the meaning included in the area.
- the color evaluation apparatus calculates a semantic similarity between a character string representing a meaning conveyed by display information associated with a region and a character string representing a color image of the region. Degrees are expressed as continuous values. That is, according to the color evaluation apparatus according to the fifth embodiment, in addition to the effect according to the fourth embodiment, a color image that feels by looking at the color assigned to each area on the evaluation target screen, and the area It is possible to know the degree of similarity with the meaning of the information displayed on the screen.
- the color evaluation apparatus determines the coincidence between the character string representing the meaning conveyed by the display information associated with the area and the character string representing the color image in the color image table. If the results match, the color evaluation apparatus according to the fifth embodiment adds a character string representing the meaning of the area to the color image table. Therefore, the color evaluation apparatus according to the fifth embodiment can keep the color image table in the latest state every time color evaluation is performed. In other words, the color evaluation apparatus according to the fifth embodiment can learn the color image each time the evaluation is performed, so that the color can be evaluated more accurately.
- the color evaluation apparatus according to the fifth embodiment is based on the third embodiment.
- the color evaluation apparatus according to the fifth embodiment may acquire the color image database 107 from the storage unit 127 as in the second embodiment. Even in that case, according to the color evaluation apparatus according to the fifth embodiment, it is possible to obtain all the same effects as described above.
- FIG. 16 is a diagram schematically illustrating a hardware configuration of a calculation processing apparatus capable of realizing the color evaluation apparatus according to the embodiment.
- the color evaluation apparatus may be realized using at least two types of calculation processing apparatuses physically or functionally.
- the color evaluation device may be realized as a dedicated device.
- FIG. 16 is a diagram schematically illustrating a hardware configuration of a calculation processing apparatus capable of realizing the color evaluation apparatus according to the first to fifth embodiments.
- the calculation processing device 133 includes a CPU (Central Processing Unit) 128, a memory 129, a disk 130, an output device 131, and an input device 132.
- CPU Central Processing Unit
- the CPU 128 copies a software program (computer program) stored in the disk 130 (hereinafter simply referred to as a program) to the memory 129 at the time of execution, and executes arithmetic processing.
- the CPU 128 reads data necessary for program execution from the memory 129. When display is necessary, the CPU 128 displays the output result on the output device 131. When inputting a program from the outside, the CPU 128 reads the program from the input device 132.
- the CPU 128 interprets and executes the color evaluation program in the memory 129.
- the CPU 128 sequentially performs processing according to the flowcharts (FIGS. 5, 8, 11, 13, and 15) referred to in the above-described embodiments.
- a partial image specifying unit for specifying a partial region of the input image, color information for specifying a color included in the partial region, an information acquiring unit for acquiring a first character string included in the partial region, and the color information
- a color comprising: a first extraction unit that extracts a second character string associated in advance; and an evaluation unit that evaluates appropriateness of the color information according to a result of comparing the first character string and the second character string. Evaluation device.
- the image processing apparatus further includes a first storage unit that stores the second character string associated in advance for each color information, and the first extraction unit adds the color information acquired by the information acquisition unit from the first storage unit.
- the color evaluation apparatus according to supplementary note 1, wherein the associated second character string is extracted.
- the evaluation unit evaluates that the color information related to the partial area is appropriate, the first character string associated with the partial area is related to the partial area stored in the first storage unit.
- the color evaluation apparatus according to any one of supplementary notes 3 to 5, which is added to a list of the second character strings associated with color information.
- a table indicating the association between the color information and the second character string is provided in place of the first storage unit, and stores a second storage unit that stores the table in association with the evaluation reference area name. Note that the table associated with a predetermined evaluation reference area name is searched for, and a second extraction unit for extracting the second character string associated with the partial area in the table is provided instead of the first extraction unit.
- the color evaluation apparatus according to any one of 2 to appendix 6.
- the partial image specifying unit specifies the partial region based on tag scope analysis or image processing, or both tag scope analysis and image processing, and the first character string is associated with the first character string. Further, the second character string is a word associated with the color represented by the color information associated with the second character string, and the second character string is a word associated with the second region.
- the color evaluation apparatus according to any one of the above.
- a partial area of the input image is specified, color information for specifying a color included in the partial area, and a first character string included in the partial area are acquired, and a second character string previously associated with the color information is obtained.
- a color evaluation method for evaluating the appropriateness of the color information according to a result of taking out and comparing the first character string and the second character string.
- a function for specifying a partial area of the input image, color information for specifying a color included in the partial area, an acquisition function for acquiring a first character string included in the partial area, and the color information are associated in advance.
- a computer program that causes a computer to implement an extraction function for extracting the second character string and an evaluation function for evaluating the appropriateness of the color information in accordance with a result of comparing the first character string and the second character string .
- I1 Evaluation target screen information I2 Evaluation standard area name I3 Color information I4 Area information T1 Color image table T2 Area information table T3 Specification information table T4 Semantic similarity table S1 Color image character string S2 Meaning of display information of area 101 Color evaluation Device 102 Dividing unit 103 Acquisition unit 104 Extraction unit 105 Evaluation unit 106 Extraction unit 107 Color image database 108 Color image table 109 Color image table 110 Title area 111 Navigation area 112 Heading area 113 Input area 114 Label area 115 Input information area 115 Auxiliary information area 116 Auxiliary Information Area 117 Button Area 118 Background 119 Color Evaluation Device 120 Semantic Similarity Calculation Unit 121 Consistency Evaluation Unit 122 Color Evaluation Device 123 Recommendation unit 124 color evaluation apparatus 125 color image learning unit 126 color evaluation apparatus 127 storage unit 128 CPU 129 Memory 130 Disk 131 Output device 132 Input device 133 Calculation processing device
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Abstract
Description
入力画像の部分領域を特定する部分画像特定部と、
前記部分領域に含まれる色を特定する色情報と、前記部分領域に含まれる第1文字列を取得する情報取得部と、
前記色情報と予め関連付けられた第2文字列を取り出す第1取出部と、
前記第1文字列と前記第2文字列とを比較した結果に応じて前記色情報の適切さを評価する評価部と
を備える。
入力画像の部分領域を特定し、
前記部分領域に含まれる色を特定する色情報と、前記部分領域に含まれる第1文字列を取得し、
前記色情報と予め関連付けられた第2文字列を取り出し、
前記第1文字列と前記第2文字列とを比較した結果に応じて前記色情報の適切さを評価する。
図1は、第1の実施形態に係る色評価装置の構成を示すブロック図である。
次に、上述した第1の実施形態を基本とする第2の実施形態について説明する。以下の説明においては、本実施形態に係る特徴的な部分を中心に説明すると共に、上述した第1の実施形態と同様な構成については、同一の参照番号を付すことにより、重複する説明は省略する。
次に、第3の実施形態について説明する。以下の説明においては、上述した第1の実施形態と本実施形態との差異を中心に説明する。上述した第1の実施形態と同様な構成については、同一の参照番号を付すことにより、重複する説明は省略する。
次に、上述した第1の実施形態を基本とする第4の実施形態について説明する。第4の実施形態は、上述した第2の実施形態を基本とすることもできる。以下の説明においては、本実施形態と第1の実施形態との差異を中心に説明する。上述した第1の実施形態と同様な構成については、同一の参照番号を付すことにより、重複する説明は省略する。
次に、上述した第3の実施形態を基本とする第5の実施形態について説明する。以下の説明においては、本実施形態と第3の実施形態との差異を中心に説明する。上述した第3の実施形態と同様な構成については、同一の参照番号を付すことにより、重複する説明は省略する。
図16は実施形態に係る色評価装置を実現可能な計算処理装置のハードウェア構成を、概略的に示す図である。
尚、前述の各実施形態の一部又は全部は、以下の付記のようにも記載されうるが、以下には限られない。
入力画像の部分領域を特定する部分画像特定部と、前記部分領域に含まれる色を特定する色情報と、前記部分領域に含まれる第1文字列を取得する情報取得部と、前記色情報と予め関連付けられた第2文字列を取り出す第1取出部と、前記第1文字列と前記第2文字列とを比較した結果に応じて前記色情報の適切さを評価する評価部とを備える色評価装置。
前記色情報毎に予め関連付けられた前記第2文字列を記憶する第1記憶部を更に備え、前記第1取出部は、前記第1記憶部から、前記情報取得部が取得した前記色情報に関連付けられた前記第2文字列を取り出す付記1に記載の色評価装置。
前記評価部は、前記第1文字列と前記第2文字列との類似度が閾値以上であるか否かに応じて、前記色情報の適切さを評価する付記2に記載の色評価装置。
前記評価部が前記部分領域に係る前記色情報を適切でないと評価した場合に、前記第1記憶部が記憶する前記第2文字列の一覧から前記第1文字列を検索し、検索された前記第2文字列に予め関連付けられた前記色情報を、前記部分領域に対応する適切な前記色情報として出力する色推薦部を更に備える、付記2または付記3記載の色評価装置。
前記評価部が前記部分領域に係る前記色情報を適切でないと評価した場合に、前記第1文字列と、前記第1記憶部が記憶する、当該色情報以外の前記色情報に予め関連付けられた前記第2文字列との類似度を計算し、当該類似度が閾値以上であるか否かに応じて、前記第2文字列に予め関連付けられた前記色情報を、前記部分領域に対応する適切な前記色情報として出力する色推薦部を更に備える、付記3に記載の色評価装置。
前記部分領域に係る前記色情報を適切であると前記評価部が評価した場合に、前記部分領域に関連付けられた前記第1文字列を、前記第1記憶部が記憶する前記部分領域に係る前記色情報に関連付けられた前記第2文字列の一覧に追加する、付記3乃至付記5のいずれか1項記載の色評価装置。
前記色情報と前記第2文字列との関連を示すテーブルを、評価基準地域名に関連付けて記憶する第2記憶部を前記第1記憶部の代わりに備え、前記第2記憶部の中から、所定の評価基準地域名と関連付けられた前記テーブルを探し、当該テーブルにおいて、前記部分領域と関連付けられた前記第2文字列を取り出す第2取出部を、前記第1取出部の代わりに備える、付記2乃至付記6のいずれか1項記載の色評価装置。
前記部分画像特定部は、タグスコープの解析若しくは画像処理、又はタグスコープの解析及び画像処理の両方に基づいて前記部分領域を特定し、前記第1文字列は、当該第1文字列に関連付けられた前記部分領域の意味を表す文字列であり、前記第2文字列は、当該第2文字列に関連付けられた前記色情報によって表される色彩から連想される単語である、付記1乃至付記7のいずれか1項記載の色評価装置。
入力画像の部分領域を特定し、前記部分領域に含まれる色を特定する色情報と、前記部分領域に含まれる第1文字列を取得し、前記色情報と予め関連付けられた第2文字列を取り出し、前記第1文字列と前記第2文字列とを比較した結果に応じて前記色情報の適切さを評価する色評価方法。
入力画像の部分領域を特定する特定機能と、前記部分領域に含まれる色を特定する色情報と、前記部分領域に含まれる第1文字列を取得する取得機能と、前記色情報と予め関連付けられた第2文字列を取り出す取出機能と、前記第1文字列と前記第2文字列とを比較した結果に応じて前記色情報の適切さを評価する評価機能とをコンピュータに実現させるコンピュータ・プログラム。
I2 評価基準地域名
I3 色情報
I4 領域情報
T1 色彩イメージテーブル
T2 領域情報テーブル
T3 諸元情報テーブル
T4 意味的類似度テーブル
S1 色彩イメージ文字列
S2 領域の表示情報の意味
101 色評価装置
102 分割部
103 取得部
104 取り出し部
105 評価部
106 取り出し部
107 色彩イメージデータベース
108 色彩イメージテーブル
109 色彩イメージテーブル
110 タイトル領域
111 ナビゲーション領域
112 見出し領域
113 入力領域
114 入力領域のラベル領域
115 補助情報領域
116 補助情報領域
117 ボタン領域
118 背景
119 色評価装置
120 意味的類似度算出部
121 一致性評価部
122 色評価装置
123 色推薦部
124 色評価装置
125 色彩イメージ学習部
126 色評価装置
127 記憶部
128 CPU
129 メモリ
130 ディスク
131 出力装置
132 入力装置
133 計算処理装置
Claims (10)
- 入力画像の部分領域を特定する部分画像特定部と、
前記部分領域に含まれる色を特定する色情報と、前記部分領域に含まれる第1文字列を取得する情報取得部と、
前記色情報と予め関連付けられた第2文字列を取り出す第1取出部と、
前記第1文字列と前記第2文字列とを比較した結果に応じて前記色情報の適切さを評価する評価部と
を備える色評価装置。 - 前記色情報毎に予め関連付けられた前記第2文字列を記憶する第1記憶部
を更に備え、
前記第1取出部は、前記第1記憶部から、前記情報取得部が取得した前記色情報に関連付けられた前記第2文字列を取り出す
請求項1に記載の色評価装置。 - 前記評価部は、前記第1文字列と前記第2文字列との類似度が閾値以上であるか否かに応じて、前記色情報の適切さを評価する
請求項2に記載の色評価装置。 - 前記評価部が前記部分領域に係る前記色情報を適切でないと評価した場合に、前記第1記憶部が記憶する前記第2文字列の一覧から前記第1文字列を検索し、検索された前記第2文字列に予め関連付けられた前記色情報を、前記部分領域に対応する適切な前記色情報として出力する色推薦部
を更に備える、請求項2または請求項3記載の色評価装置。 - 前記評価部が前記部分領域に係る前記色情報を適切でないと評価した場合に、前記第1文字列と、前記第1記憶部が記憶する、当該色情報以外の前記色情報に予め関連付けられた前記第2文字列との類似度を計算し、当該類似度が閾値以上であるか否かに応じて、前記第2文字列に予め関連付けられた前記色情報を、前記部分領域に対応する適切な前記色情報として出力する色推薦部
を更に備える、請求項3に記載の色評価装置。 - 前記部分領域に係る前記色情報を適切であると前記評価部が評価した場合に、前記部分領域に関連付けられた前記第1文字列を、前記第1記憶部が記憶する前記部分領域に係る前記色情報に関連付けられた前記第2文字列の一覧に追加する、
請求項3乃至請求項5のいずれか1項記載の色評価装置。 - 前記色情報と前記第2文字列との関連を示すテーブルを、評価基準地域名に関連付けて記憶する第2記憶部を前記第1記憶部の代わりに備え、
前記第2記憶部の中から、所定の評価基準地域名と関連付けられた前記テーブルを探し、当該テーブルにおいて、前記部分領域と関連付けられた前記第2文字列を取り出す第2取出部を、前記第1取出部の代わりに備える、
請求項2乃至請求項6のいずれか1項記載の色評価装置。 - 前記部分画像特定部は、タグスコープの解析若しくは画像処理、又はタグスコープの解析及び画像処理の両方に基づいて前記部分領域を特定し、
前記第1文字列は、当該第1文字列に関連付けられた前記部分領域の意味を表す文字列であり、
前記第2文字列は、当該第2文字列に関連付けられた前記色情報によって表される色彩から連想される単語である、
請求項1乃至請求項7のいずれか1項記載の色評価装置。 - 入力画像の部分領域を特定し、
前記部分領域に含まれる色を特定する色情報と、前記部分領域に含まれる第1文字列を取得し、
前記色情報と予め関連付けられた第2文字列を取り出し、
前記第1文字列と前記第2文字列とを比較した結果に応じて前記色情報の適切さを評価する
色評価方法。 - 入力画像の部分領域を特定する特定機能と、
前記部分領域に含まれる色を特定する色情報と、前記部分領域に含まれる第1文字列を取得する取得機能と、
前記色情報と予め関連付けられた第2文字列を取り出す取出機能と、
前記第1文字列と前記第2文字列とを比較した結果に応じて前記色情報の適切さを評価する評価機能と
をコンピュータに実現させるコンピュータ・プログラム。
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