JP4666071B2 - Document editing apparatus, program, and storage medium - Google Patents

Description

  The present invention relates to a technique for editing a document.

  A technique for editing a document including data (character string) converted into data or an object (digital content) such as an image is known. For example, Patent Document 1 discloses a presentation material creation support system that calculates the visual comfort level of a part when the user changes the arrangement or shape of the part. Patent documents 2 and 3 disclose an apparatus for evaluating and creating a design. According to Patent Documents 2 and 3, the stored proportion data and the input design data are synthesized and displayed. Patent Document 4 discloses a technique for extracting composition information from an image and reconstructing a picture based on the extracted composition information.

JP-A-8-180037 JP-A-10-289262 Japanese Patent Laid-Open No. 10-301980 JP 2000-200434 A

However, according to Patent Documents 1 to 4, it is difficult to change the arrangement of objects in order to achieve a balanced arrangement as a whole document, that is, an arrangement with excellent aesthetics.
On the other hand, the present invention provides a technique for changing the arrangement of objects in order to achieve a balanced arrangement as a whole, that is, an arrangement with excellent aesthetics.

In order to solve the above-described problem, the present invention provides an object acquisition unit that acquires an object that is data indicating at least one of text or an image included in a document to be edited, and an object acquired by the object acquisition unit. Of these, based on the size or position of at least one target object selected from the object selection means for selecting at least two target objects that are objects to be processed, and at least one of the target objects selected by the object selection means Golden rectangle forming means for forming a golden rectangle having a predetermined positional relationship with one target object, and position changing means for changing the position of the target object so as to be inscribed in the golden rectangle formed by the golden rectangle forming means Document with To provide a device.
According to this document editing apparatus, the position of the target object is changed so as to be inscribed in the golden rectangle.

In a preferred aspect, in the document editing apparatus, the object acquisition unit acquires at least three objects, the object selection unit is a combination of at least two objects among the at least three objects, and the circumscribed rectangle is A combination closest to the golden rectangle may be selected.
According to this document editing apparatus, the position of the target object is changed so that the target object whose initial position is closest to the golden rectangle is inscribed in the golden rectangle.

In another preferred embodiment, in the document editing apparatus, the object acquisition unit acquires at least three objects, and the object selection unit is configured to circumscribe a combination of at least two of the at least three objects. A combination of circumscribed rectangles that are closest to the golden rectangle may be selected.
According to this document editing apparatus, objects having the same object type are selected as target objects.

In still another preferred aspect, in the document editing apparatus, the object selecting means may select at least two objects in order from the one with the largest amount of text among the at least three objects.
According to this document editing apparatus, objects are selected in descending order of text amount.

In still another preferred aspect, in the document editing apparatus, the object acquisition unit acquires at least three objects, and the object selection unit acquires at least two objects in order from the largest of the at least three objects. You may choose.
According to this document editing apparatus, objects are selected in descending order of area.

In still another preferred aspect, in the document editing apparatus, the object acquisition unit acquires at least three objects having category information indicating a category, and the object selection unit selects specific category information among the at least three objects. You may select at least two objects having
According to this document editing apparatus, a combination of objects in a specific category is selected as a target object.

In still another preferred aspect, in the document editing apparatus, the object acquisition unit acquires at least three objects having attribute information indicating attributes, and each object is acquired from the attribute information of the object acquired by the object acquisition unit. Importance level determining means for determining the importance level, and the object selecting means may select at least two objects in descending order of importance level determined by the importance level determining means.
According to this document editing apparatus, target objects are selected in descending order of importance.

According to another aspect of the invention, there is provided a step of acquiring an object, which is data indicating at least one of text or an image included in a document to be edited, in a computer device; A step of selecting at least two target objects, and a golden rectangle having a predetermined positional relationship with the at least one target object based on a size or position of at least one target object among the selected target objects There is provided a program for executing a forming step and a step of changing the position of the target object so as to be inscribed in the formed golden rectangle.
Furthermore, the present invention provides a storage medium storing the above program.
According to this program, the position of the target object is changed so as to be inscribed in the golden rectangle.

1. Configuration FIG. 1 is a diagram showing a functional configuration of a document editing apparatus 100 according to an embodiment of the present invention. The document editing apparatus 100 edits a document so that a golden rectangle is formed by a plurality of objects. The “document” refers to data including layout information indicating the arrangement of at least one object arranged in the layout area and the object in the layout area, or a result output according to the data. “Object” refers to data indicating at least one of text (character string) or image, or text or image indicated by the data. A “layout area” refers to a physical boundary of an output document. The layout area refers to, for example, one or a plurality of papers, one page, a plurality of continuous pages, or a part of a page on which a document is printed.

The object acquisition unit 101 acquires an object included in a document to be edited. The object selection unit 102 selects at least two target objects from the acquired objects. Here, “target object” refers to an object to be processed. The golden rectangle forming unit 103 forms a golden rectangle based on the size or position of at least one target object. Here, the golden rectangle is formed so as to have a predetermined positional relationship with at least one target object. The position changing unit 104 changes the position of the target object so as to be inscribed in the formed golden rectangle. The “golden rectangle” refers to a quadrangle in which the ratio of the lengths of two adjacent sides is a ratio represented by the following formula (1) (so-called golden ratio). Note that the right term and the left term in Equation (1) may be interchanged.

FIG. 2 is a diagram illustrating a hardware configuration of the document editing apparatus 100. A CPU (Central Processing Unit) 110 is a control device that controls each element of the document editing apparatus 100. R
The OM (Read Only Memory) 120 is a storage device that stores data and programs necessary for starting the document editing apparatus 100. A RAM (Random Access Memory) 130 is a storage device that functions as a work area when the CPU 110 executes a program. An I / F (Interface) 140 is an interface for inputting / outputting data and control signals to / from various input / output devices and storage devices. An HDD (Hard Disk Drive) 150 is a storage device that stores various programs and data. Regarding the present embodiment, the HDD 150 stores a document editing program for editing a document. The keyboard / mouse 160 is an input device for the user to input instructions to the document editing apparatus 100. The display 170 is an output device that displays data contents or processing status. The network IF 180 is an interface for transmitting and receiving data to and from other devices connected via a network (not shown). For example, the document editing apparatus 100 can receive a document (more precisely, electronic data indicating the document) via the network and the network IF 180. CPU 110, ROM 120, RAM 130, and I / F 140 are connected via a bus 190. When the CPU 110 executes the document editing program, the document editing apparatus 100 has the functional configuration shown in FIG. The document editing apparatus 100 may be any apparatus as long as it includes the functional configuration shown in FIG. 1 and the hardware configuration shown in FIG. For example, the document editing apparatus 100 is a so-called personal computer. Note that some elements of the hardware configuration described above may be omitted.

2. Operation FIG. 3 is a flowchart showing the operation of the document editing apparatus 100. In step S100, the CPU 110 acquires an object. In the present embodiment, the object is acquired as a part of a document to be edited (hereinafter referred to as “target document”). The HDD 150 stores the target document. CPU 110 reads the target document from HDD 150.

Figure 4 is a diagram showing a document D ₁ is a target document. The document D ₁ has three objects T ₁ , T ₂ and I _{1 in} the layout area L. Objects T ₁ and T ₂ are text objects. The object T ₁ includes a character string “Golden ratio is beautiful” and attribute information indicating its own attribute. The object T ₁ indicates, as attribute information, the object type “text”, the category “title”, the font size “48 points”, the font type “Gothic”, the font style “bold”, and the size of the object T _1. Contains information. Similarly to the object T ₁ , the object T ₂ includes a character string and attribute information. In particular, the object T ₂ has an attribute of the category “text”. The object I ₁ is an image object. An object I ₁ indicates image information and attribute information. The object I ₁ includes, as attribute information, information indicating the object type “image”, the category “main image”, and the size of the object I ₁ . The document D ₁ includes information (hereinafter referred to as “layout information”) indicating the arrangement of the objects T ₁ , T _2, and I ₁ in the layout area L.

A description will be given with reference to FIG. 3 again. In step S110, CPU 110 selects a target object from the document D _1.

FIG. 5 is a flowchart showing details of the object selection process. In step S111, the CPU 110 stores the objects in the RAM 130 as an array. Hereinafter, the xth object in the array is represented as O (x). Now, O (1) = object T ₁ , O (2) = object T ₂ , and O (3) = object I ₁ .

In step S112, CPU 110 initializes variables i, j, and n. A variable i indicates an object to be compared. The variable j indicates an object to be compared (that is, a comparison partner). The variable n indicates the total number of objects included in the document D _1. Here, the CPU 110 initializes i = 1, j = i + 1 = 2, and n = 3.

  In step S113, the CPU 110 obtains a circumscribed rectangle between the object O (i) and the object O (j). Further, the CPU 110 stores the ratio r between the long side and the short side of the circumscribed rectangle in the RAM 130. Here, r = (long side length) / (short side length). Note that “the circumscribed rectangle of the object O (i) and the object O (j)” has (1) a side in a predetermined direction (for example, the vertical direction and the horizontal direction), and (2) the object O (i ) And the object O (j) inside, and (3) the one having the smallest area. The ratio r is stored so as to correspond to information (here, the values of the variables i and j) that specify the two objects used to calculate the value.

  In step S114, CPU 110 determines whether there is an object that is not a comparison target, that is, whether variables j and n satisfy condition j <n. If it is determined that there is an object that has not yet been compared (S114: YES), in step S115, the CPU 110 updates the variable j as j = j + 1. When the variable j is updated, the CPU 110 shifts the processing to step S113. If it is determined that there is no object that is not the comparison partner (S114: NO), the CPU 110 shifts the processing to step S116.

  In step S116, CPU 110 determines whether there is an object that has not been compared, that is, whether variables i and n satisfy condition i <n-1. If it is determined that there is an object that has not been compared yet (S116: YES), in step S117, the CPU 110 updates the variables i and j as i = i + 1 and j = i + 1. When the variables i and j are updated, the CPU 110 shifts the processing to step S113. When it is determined that there is no object that has not been compared (S116: NO), the CPU 110 shifts the processing to step S118.

  In step S118, the CPU 110 selects two objects corresponding to the circumscribed rectangle closest to the golden ratio. That is, the CPU 110 selects a combination of objects having the smallest difference from the golden ratio among the ratios r stored in the RAM 130 as the target object.

  A description will be given with reference to FIG. 3 again. In step S120, the CPU 110 forms a golden rectangle based on the target object.

  FIG. 6 is a flowchart showing details of the golden rectangle forming process. In step S <b> 121, the CPU 110 rearranges the target objects in order of increasing width (lateral length). In step S122, the CPU 110 forms a golden rectangle with the widest target object (hereinafter referred to as “reference object”) as a reference. Here, the CPU 110 has a golden rectangle having a long side that is equal in width and length to the reference object (that is, a horizontally long golden rectangle) and a golden rectangle having a short side that is equal in width and length to the reference object (that is, a vertically long golden rectangle). ). The golden rectangle is formed at a position where a predetermined side (hereinafter referred to as “reference side”) of the reference object and the golden rectangle coincide. For example, when the upper side is a reference line, the upper side of the golden rectangle matches the upper side of the reference object. Now, for a vertically long golden rectangle, the upper and lower sides are determined as reference lines, and for a horizontally elongated golden rectangle, the right and left sides are determined as reference lines. That is, the CPU 110 has two vertically long golden rectangles (one whose upper side is the reference side and one whose lower side is the reference side) and two horizontally long golden rectangles (one whose right side is the reference side and one whose left side is the reference side) ).

  Here, “to form a golden rectangle” means to calculate a parameter necessary for specifying the golden rectangle, and the golden rectangle is not necessarily displayed on the display 170. The parameters necessary for specifying the golden rectangle are, for example, the coordinates of the four vertices, or the coordinates of the reference point and the lengths of the long side and the short side.

In step S123, the CPU 110 selects a golden rectangle that satisfies a predetermined condition from the formed golden rectangles. The CPU 110 performs subsequent processing using the selected golden rectangle. In the present embodiment, the following conditions are used.
(1) A golden rectangle does not overlap with an object that was not used to form the golden rectangle. (2) The golden rectangle does not protrude from the layout area.

  A description will be given with reference to FIG. 3 again. In step S130, the CPU 110 changes the arrangement of the target objects based on the formed golden rectangle. Here, the CPU 110 changes the arrangement of objects other than the reference object among the target objects so that the circumscribed rectangle of the target object matches the golden rectangle, that is, the target object is inscribed in the golden rectangle. Since the object arrangement is determined by the layout information, the CPU 110 rewrites the layout information.

FIG. 7 is a diagram illustrating an object before movement. FIG. 7 shows a case where another object O ₀ is located inside the golden rectangle G ₀ . The CPU 110 moves the other object O ₀ in a predetermined direction, for example, the vertical direction. In this case, the moving direction is a direction in which the distance between a certain point (for example, the center of gravity) in the reference object and a certain point (for example, the center of gravity) in another object is increased. The CPU 110 moves the other object O ₀ to a position in contact with the golden rectangle. If the circumscribed rectangle of the target object may move other objects O ₀ in the vertical direction does not match the golden rectangle, CPU 110 may be another direction, for example, to move the other object O ₀ in the left-right direction.

FIG. 8 is a diagram illustrating another example of the object before movement. FIG. 8 shows a case where another object O ₀ protrudes from the golden rectangle G ₀ . The CPU 110 moves the other object O ₀ in a predetermined direction, for example, the vertical direction. In this case, the moving direction is a direction in which the distance between a certain point (for example, the center of gravity) in the reference object and a certain point (for example, the center of gravity) in another object is shortened. The CPU 110 moves another object in the vertical direction until the other object O ₀ does not protrude from the golden rectangle. If the other object O ₀ still protrudes from the golden rectangle even if it moves in the vertical direction, the CPU 110 moves the other object O ₀ in another direction, for example, the left-right direction.

FIG. 9 is a diagram illustrating an edited document. In this example, the objects T ₁ and I ₁ are selected as target objects. The objects T ₁ and I ₁ are arranged so as to be inscribed in the golden rectangle G ₁ . Golden rectangle G ₁ is a golden rectangle of the portrait. FIG. 9 shows an example in which the condition (1) in step S123 is not applied, as will be described later.

FIG. 10 is a diagram illustrating another example of a document after editing. In this example, the objects T ₁ and T ₂ are selected as target objects. The objects T ₁ and T ₂ are arranged so as to be inscribed in the golden rectangle G ₂ . Golden rectangle G ₂ is a golden rectangle of the portrait. Note that FIG. 10 illustrates an example in which the condition (1) of step S123 is not applied, as will be described later.

FIG. 11 is a diagram showing still another example of the edited document. In this example, the objects T ₁ and T ₂ are selected as target objects. The objects T ₁ and T ₂ are arranged so as to be inscribed in the golden rectangle G ₃ . Golden rectangle G ₃ is a golden rectangle of the landscape.

FIG. 12 is a diagram showing still another example of the edited document. In this example, the objects T ₁ and T ₂ are selected as target objects. The objects T ₁ and T ₂ are arranged so as to be inscribed in the golden rectangle G ₄ . Golden rectangle G ₄ is a golden rectangle of the landscape.

  As described above, according to the present embodiment, based on the golden rectangle, a document that is balanced in the entire layout area, that is, excellent in aesthetics is edited.

3. Other Embodiments The present invention is not limited to the above-described embodiments, and various modifications can be made. Note that in the following modified examples, descriptions of matters common to the embodiment are omitted. In addition, common reference numerals are used for elements common to the embodiment.

3-1. Modification 1
FIG. 13 is a flowchart illustrating details of the object selection processing according to the first modification. In the first modification, the target object is selected based on its type. In the first modification, the flow of FIG. 13 is used instead of the flow of FIG.

  In step S201, the CPU 110 stores the acquired objects in an array. In step S202, CPU 110 initializes variables i and n. A variable i indicates an object to be determined. The variable n indicates the total number of acquired objects. Here, the CPU 110 sets i = 1 and n = 3. In step S203, the CPU 110 determines whether the object O (i) is a text object. Since each object has information indicating the type of object as attribute information, the CPU 110 determines the type of object based on the attribute information. When it is determined that the object O (i) is a text object (S203: YES), the CPU 110 shifts the processing to step S204. When it is determined that the object O (i) is not a text object (S203: NO), the CPU 110 shifts the processing to step S205.

  In step S204, the CPU 110 stores the identifier of the object O (i) in the RAM 130. Alternatively, the CPU 110 may store the object O (i) in the RAM 130. Thus, the identifier of the text object is stored in the RAM 130.

  In step S205, the CPU 110 determines whether there is an object that has not yet been determined, that is, whether the variables i and n satisfy the condition i <n. If it is determined that there is an object that has not yet been determined (S205: YES), the CPU 110 shifts the processing to step S206. When it is determined that there is no object that is not a determination target (S205: NO), the CPU 110 shifts the processing to step S207.

In step S206, the CPU 110 updates the variable i to i = i + 1. When the variable i is updated, the CPU 110 shifts the processing to step S203.
In step S207, the CPU 110 selects an object whose identifier is stored in the RAM 130, that is, a text object as a target object. As described above, according to the first modification, the text object is selected as the target object. 10 to 13 are examples in which a text object is selected as a target object.

Note that the number of objects may be narrowed down based on conditions from those extracted as text objects. As the condition, for example, “m objects (m is a positive integer satisfying m ≧ 2) are selected in descending order of the number of characters” is used. In this case, in step S204, the CPU 110 obtains the number of characters of each object and stores it in the RAM 130 together with the identifier. In step S207, the CPU 110 selects m objects as the target objects in order from the one with the largest number of characters.
Further, although the text object is extracted in step S203, an image object may be extracted.

3-2. Modification 2
FIG. 14 is a flowchart showing details of the object selection processing according to the second modification. In the second modification, the target object is selected based on its area. In Modification 2, the flow of FIG. 14 is used instead of the flow of FIG.

  In step S301, the CPU 110 stores the acquired objects in an array. In step S302, the CPU 110 rearranges objects in descending order of area. Since each object has information indicating the area of the object as attribute information, the CPU 110 determines the area of the object based on the attribute information. In step S303, the CPU 110 selects m objects in descending order of area. Thus, according to the second modification, an object having a large area is selected as a target object.

  Note that importance may be used instead of area. Since each object has information indicating the priority of the object as attribute information, the CPU 110 determines the importance of the object based on the attribute information. Or CPU110 may calculate the importance of the object from attribute information, such as a category and a priority, according to a predetermined algorithm. In this case, the HDD 150 stores a table or function for converting attributes into importance. The CPU 110 calculates the importance of the object according to this table or function. At this time, the importance may be calculated according to a combination of a plurality of attribute information. Further alternatively, the CPU 110 may calculate the importance using an index obtained by a known technique such as a degree of attraction.

3-3. Modification 3
FIG. 15 is a flowchart illustrating details of the object selection process according to the third modification. In the third modification, the target object is selected based on the category of the object. In the modification 3, the flow of FIG. 15 is used instead of the flow of FIG.

  In step S401, the CPU 110 stores the acquired objects in an array. In step S402, CPU 110 initializes variables i and n. A variable i indicates an object to be determined. The variable n indicates the total number of acquired objects. Here, the CPU 110 sets i = 1 and n = 3.

  In step S403, the CPU 110 determines whether the category of the object O (i) is “title”. Since each object has information indicating a category as attribute information, the CPU 110 determines the category of the object based on the attribute information. When it is determined that the category of the object O (i) is “title” (S403: YES), the CPU 110 shifts the processing to step S404. When it is determined that the category of the object O (i) is not “title” (S403: NO), the CPU 110 shifts the processing to step S405.

  In step S404, the CPU 110 stores the identifier of the object O (i) in the RAM 130. Alternatively, the CPU 110 may store the object O (i) in the RAM 130. Thus, the identifier of the object whose category is “title” is stored in the RAM 130.

  In step S405, the CPU 110 determines whether the category of the object O (i) is “main image”. When it is determined that the category of the object O (i) is “main image” (S405: YES), the CPU 110 shifts the processing to step S406. When it is determined that the category of the object O (i) is not “main image” (S405: NO), the CPU 110 shifts the processing to step S407.

  In step S406, the CPU 110 stores the identifier of the object O (i) in the RAM 130. Thus, the identifier of the object whose category is “main image” is stored in the RAM 130.

  In step S407, CPU 110 determines whether there is an unprocessed object, that is, whether variables i and n satisfy condition i <n. When it is determined that there is an unprocessed object (S407: YES), in step S408, the CPU 110 updates the variable i to i = i + 1. When the variable i is updated, the CPU 110 shifts the processing to step S403.

  When it is determined that there is no unprocessed object (S407: NO), the CPU 110 sets an object whose identifier is stored in the RAM 130, that is, an object whose category is “title” or “main image” as a target object. Select (S409). As described above, according to the third modification, an object of a specific category is selected as a target object.

3-4. Other Modifications In step S100, the object may not be acquired together with the target document. That is, each object and layout information need not be acquired simultaneously from the same source. The object and the target document may be acquired from another device via the network and the network IF 180, for example. Alternatively, the object and the target document may be input by the user operating the keyboard / mouse 160.

  In step S121, the object selected as the reference object is not limited to the widest target object. A target object having the highest height (length in the vertical direction) may be selected as the reference object. In addition, the positional relationship between the reference object and the golden rectangle is not limited to that in which the reference sides match. For example, a positional relationship in which a reference point (for example, the upper left vertex) of the reference object matches a reference point (for example, the upper left vertex) of the golden rectangle may be used.

The conditions used in step S123 are not limited to those described in the embodiment. For example, only one of the conditions (1) and (2) may be used. FIG. 9 shows an example in which only the condition (2) is used. The object T _2, which is another object, overlaps the golden rectangle G ₁ , but the golden rectangle G ₁ is adopted. Alternatively, other conditions other than the conditions (1) and (2) may be used, such as a condition that the area of the golden rectangle is greater than or equal to a predetermined threshold value.

  The process corresponding to step S123 may be performed after step S130. In this case, the process of step S123 is not performed in the flow of FIG. In step S <b> 130, the CPU 110 performs object arrangement change processing for a plurality of golden rectangles (that is, candidates for golden rectangles). After the process of step S130, the CPU 110 selects, from among a plurality of golden rectangle candidates, an object whose arrangement has not been overlapped.

  After step S130, a process may be performed to determine whether the edited document satisfies a predetermined condition, for example, a condition that the objects do not overlap each other. In this case, the CPU 110 displays a message indicating the determination result on the display 170. Alternatively, when the condition is not satisfied, the CPU 110 may further perform a process of editing the document so that the condition is satisfied. In this case, the CPU 110 enlarges the golden rectangle based on a certain point, for example, the center of gravity. CPU 110 moves the reference object and other objects so as to be inscribed in the enlarged golden rectangle. Further, the CPU 110 moves each object in a predetermined direction, for example, the title to the left and the text to the right in order to eliminate the overlap. FIG. 12 shows an example edited in this way.

  The numbers of objects and target objects are not limited to those described in the embodiment and the modification. The target document may include four or more objects. Also, three or more objects may be selected as target objects. When three or more objects are selected as target objects, it is not necessary for all target objects to be inscribed in the golden rectangle. It is sufficient that the conditions (1) to (3) described in step S113 are satisfied.

  The attribute information possessed by each object is not limited to that described in the above embodiment or modification. For example, the following may be used as attributes. (1) Object type (“text”, “image”, etc.), (2) Object category (“title”, “subtitle”, “body”, “main image”, “subimage”, etc.), (3) ) Font size, (4) Font type (“Mincho”, “Gothic”, etc.), (5) Font style (“Standard”, “Bold”, “Italic”, etc.), (6) Object size ( Area, number of characters, number of pixels, etc.), (7) object priority (“high”, “medium”, “low”, index, etc.), (8) image content (“person”, “landscape”, “ Mountain "," flower ", etc.). Each object need not have all the attribute information exemplified above.

  Each object may not have attribute information. The attribute of the object may be defined by data different from the object such as layout information. Alternatively, the attribute of the object may be determined in advance.

  The types of data, information, and parameters stored in the HDD 150 in the above-described embodiments and modifications may be stored in a device other than the HDD 150. For example, the document data may be stored in a device other than the document editing device 100. In this case, the document editing apparatus 100 acquires a design rule from another apparatus through communication or direct connection via a network. In this case, the document editing apparatus 100 does not need to store design rules in advance. Alternatively, data, information and parameter classes may be entered by the user.

  The types of data, information, and parameters that are “predetermined” in the above-described embodiments and modifications may be determined according to a user instruction. Alternatively, these types of data, information and parameters may be determined by CPU 110 according to a predetermined algorithm.

  The ratio described as the “golden ratio” in the above-described embodiments and modifications may be a ratio other than the golden ratio. Further, although an example in which the number of target objects is one has been described, the number of target objects may be plural.

  In the embodiment and the modification described above, the moving image generation program is stored in the HDD 150. However, the moving image generation program may be provided by a storage medium such as a CD-ROM (Compact Disk Read Only Memory).

It is a figure which shows the function structure of the document editing apparatus 100 which concerns on one Embodiment. 2 is a diagram illustrating a hardware configuration of a document editing apparatus 100. FIG. 3 is a flowchart showing the operation of the document editing apparatus 100. It is a figure which shows the document D1 which is an object document. It is a flowchart which shows the detail of an object selection process. It is a flowchart which shows the detail of a golden rectangle formation process. It is a figure which illustrates the object before a movement. It is a figure which shows another example of the object before a movement. It is a figure which illustrates the document after an edit. It is a figure which shows another example of the document after an edit. It is a figure which shows another example of the document after an edit. It is a figure which shows another example of the document after an edit. 10 is a flowchart showing details of an object selection process according to Modification 1. 10 is a flowchart showing details of an object selection process according to Modification 2. 14 is a flowchart illustrating details of an object selection process according to Modification 3.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 ... Document editing apparatus 101 ... Object acquisition part 102 ... Object selection part 103 ... Golden rectangle formation part 104 ... Position change part 110 ... CPU, 120 ... ROM, 130 ... RAM, 140 ... I / F, 150 ... HDD, 160 ... Keyboard / mouse, 170 ... Display, 180 ... Network IF, 190 ... Bus

Claims (11)

An object acquisition means for acquiring an object which is data indicating at least one of text or an image included in a document to be edited;
Object selection means for selecting at least two target objects that are objects to be processed among the objects acquired by the object acquisition means;
Of the target objects selected by the object selecting means, the first target object is used as a reference object, and a golden rectangle forming means for forming one side in common with the reference object and forming a golden rectangle inscribed by the first target object. When,
Wherein the second object of the selected target object, the golden rectangle forming means golden rectangle formed by the document editing apparatus having a changing means for causing inscribed to the side opposite to the one side. The golden rectangle forming means uses the target object having the longest side in a specific direction as the reference object.
The document editing apparatus according to claim 1, wherein: The one side is a side in the specific direction.
The document editing apparatus according to claim 2, wherein: The object acquisition means acquires at least three objects;
The object selection unit selects a combination in which a circumscribed rectangle is closest to a golden rectangle among combinations of at least two of the at least three objects . The document editing device described in the section . The object acquisition means acquires at least three objects;
The object selection means, said at least three document editing apparatus according to any one of claims of claims 1, characterized in that selecting a combination of objects between between objects or images of text 3 among the objects. The at least three objects are text objects;
The document editing apparatus according to claim 5 , wherein the object selection unit selects at least two objects in order from the largest text amount among the at least three objects. The object acquisition means acquires at least three objects;
The object selection means, said at least three document editing apparatus according to any one of claims 1 to 3, wherein selecting at least two objects from having a large area in the order of the objects. The object acquisition means acquires at least three objects having category information indicating a category;
The document editing apparatus according to any one of claims 1 to 3, wherein the object selecting unit selects at least two objects having specific category information among the at least three objects. The object acquisition means acquires at least three objects having attribute information indicating attributes;
From the attribute information of the object acquired by the object acquisition means, having an importance level determination means for determining the importance level of each object,
The object selection means, the importance document editing apparatus according to any one of claims 1 to 3, characterized in that selecting at least two objects from highest importance determined sequentially by determining means . Computer equipment,
An object acquisition means for acquiring an object which is data indicating at least one of text or an image included in a document to be edited;
An object selection unit that selects at least two target objects that are objects to be processed among the objects acquired by the object acquisition unit;
Golden rectangle forming means for forming a golden rectangle in which the first target object is inscribed in common with the first target object as a reference object among the target objects selected by the object selection means, ,
Changing means for inscribed a second target object among the selected target objects in a side opposite to the one side of the golden rectangle formed by the golden rectangle forming means;
Program to make it function. Computer equipment,
An object acquisition means for acquiring an object which is data indicating at least one of text or an image included in a document to be edited;
An object selection unit that selects at least two target objects that are objects to be processed among the objects acquired by the object acquisition unit;
Golden rectangle forming means for forming a golden rectangle in which the first target object is inscribed in common with the first target object as a reference object among the target objects selected by the object selection means, ,
Changing means for inscribed a second target object among the selected target objects in a side opposite to the one side of the golden rectangle formed by the golden rectangle forming means;
A storage medium that records a program for functioning.

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