JP2009093473A - Graphic change device, graphic change method, computer program, and recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To change a graphic with versatility even when there are not many rules related with the change of a graphic. <P>SOLUTION: A similarity calculation part 13 calculates the degree of similarity between an attribute value of a graphic before change in a plurality of rules stored in a rule storage part 11 and an attribute value of a graphic included in an input image, and a selection part 14 selects two or more rules having high degree of similarity. A rule composition part 15 reads out the two or more rules selected by the selection part 14 from the storage part 11, and combines the rules in a ratio corresponding to the degree of similarity. A rule application part 17 applies the rule combined by the rule composition part 15 to the graphic included in the image accepted by an acceptance part 2 to change the graphic. An output part 3 outputs an image including the changed graphic to which the rule has been applied by the rule application part 17. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a graphic change device that changes a graphic using a plurality of rules.

Conventionally, a technique for changing the layout of a figure by using a rule has been developed (see, for example, Patent Document 1).
In addition, a visual language called Viscuit has been developed, and animation and games can be easily created by using the visual language (for example, see Non-Patent Document 1). In the biscuit, the figure can be moved or changed by using a predetermined rule regarding the change of the figure. Also, a plurality of rules can be used when changing the figure. In that case, the figure is changed by selecting the rule closest to the figure before the rule is applied and applying the selected rule to the figure.
JP 2005-18380 A Nippon Telegraph and Telephone Communication Science Laboratories, “Bisket”, [online], [September 25, 2007], Internet <URL: http://www.viscuit.com>

  On the other hand, in order to realize a variety of graphic changes, many rules must be used. In that case, there is also a problem that the user's labor for setting the rules is enormous.

  The present invention has been made to solve such problems, and provides a graphic change device and the like that can realize a variety of graphic changes even if a large number of rules are not prepared in advance. The purpose is to do.

In order to achieve the above object, a graphic change device according to the present invention includes a rule storage unit that stores a plurality of change rule information indicating correspondence before and after a change in a graphic attribute value, and an input image. A similarity calculation unit that calculates the similarity between the attribute value of the included graphic and each of the attribute values of the graphic before the change indicated by the plurality of rules, and two or more high similarity calculated by the similarity calculation unit A selection unit that selects the rule, a rule synthesis unit that synthesizes two or more rules selected by the selection unit at a ratio according to the similarity calculated by the similarity calculation unit, and the rule synthesis unit And a rule applying unit that changes a figure included in the image using the rule, and the figure in the image is changed according to the change rule.
With such a configuration, even if a large number of rules are not prepared in advance, it is possible to realize a variety of graphic changes. Further, by synthesizing the rules according to the similarity, it is possible to obtain the same effect as when a new rule for interpolating a preset rule is set. Further, since it is not necessary to prepare a large number of rules, the user's labor for setting the rules is also reduced.

In the graphic change device according to the present invention, the selection unit may select a rule whose similarity calculated by the similarity calculation unit is a predetermined threshold or more.
With such a configuration, it is possible to appropriately select two or more rules suitable for synthesis by appropriately setting a predetermined threshold value.

In the graphic change device according to the present invention, the selection unit may select a predetermined number of rules from the highest similarity calculated by the similarity calculation unit.
With such a configuration, it is possible to appropriately select two or more rules suitable for synthesis.

Further, in the graphic change device according to the present invention, the information of the plurality of rules stored in the rule storage unit is grouped into a plurality of groups, and the group has a representative attribute value for each group, The selection unit selects a group having a high similarity with the attribute value of the graphic included in the input image calculated based on the representative attribute value by the similarity calculation unit, and the rule synthesis unit Two or more rules included in the group selected by the selection unit may be combined.
With such a configuration, it is possible to appropriately synthesize rules by appropriately setting groups.

  Further, in the graphic change device according to the present invention, among the rules stored in the synthesis rule storage unit and the synthesis rule storage unit that stores the rules synthesized by the rule synthesis unit, the graphics included in the input image And a determination unit that determines whether there is a rule that matches the attribute value of the graphic before the change, and the rule application unit uses the rule that is determined by the determination unit to match the attribute value Thus, the figure included in the image may be changed.

  In the graphic change device according to the present invention, the rule synthesis unit may synthesize a rule when it is determined by the determination means that there is no rule when the attribute values match.

  Also, the graphic change method according to the present invention is a graphic change apparatus in which a graphic attribute value included in an input image and a plurality of graphic attribute values stored in the rule storage unit are stored before and after the graphic attribute value is changed. A similarity calculation process for calculating the similarity to each of the attribute values of the graphic before the change indicated by the change rule indicating the correspondence, and a selection for selecting two or more rules having a high similarity calculated in the similarity calculation process Using a process, a rule synthesis process for synthesizing two or more rules selected in the selection process at a ratio corresponding to the similarity calculated in the similarity calculation process, and a rule synthesized in the rule synthesis process, And a rule application process for changing a figure included in the image.

The present invention also provides a computer program that causes a computer to operate as the graphic change device described above.
The present invention is also a computer-readable recording medium that records the above-described computer program.

  According to the graphic change device or the like according to the present invention, by combining and applying rules, even if a large number of rules are not prepared in advance, a variety of graphic changes can be realized.

  Hereinafter, a graphic change device according to the present invention will be described using embodiments. In the following embodiments, components and steps denoted by the same reference numerals are the same or equivalent, and repetitive description may be omitted.

A figure changing apparatus according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a block diagram showing a configuration of a graphic change apparatus according to the present embodiment. In FIG. 1, the graphic change device 1 according to the present embodiment includes a rule storage unit 11, a determination unit 12, a similarity calculation unit 13, a selection unit 14, a rule synthesis unit 15, and a synthesis rule storage unit 16. The rule application unit 17 is connected to the reception unit 2 and the output unit 3 as external devices.

  The accepting unit 2 accepts image data including graphics. Hereinafter, image data is simply referred to as an image. This image reception is reception of an image input from the outside, for example, reception of an image input from an input device (for example, a keyboard, mouse, touch panel, etc.), via a wired or wireless communication line. The transmitted image may be received, or an image read from a predetermined recording medium (for example, an optical disk, a magnetic disk, a semiconductor memory, etc.) may be received. The accepting unit 2 may or may not include a device for accepting (for example, a modem or a network card). The receiving unit 2 may be realized by hardware, or may be realized by software such as a driver that drives a predetermined device.

  The rule storage unit 11 stores a plurality of rules. Here, the rule is information indicating correspondence before and after the change of the attribute value of the figure. The figure is an object (object) whose attribute value is to be changed according to this rule. For example, the figure may be a figure such as a vehicle such as an automobile or an airplane, an animal, a person, a round shape, a square shape, It may be a figure such as a star or a character string, and is not limited to a specific one. The attribute value of the figure may be, for example, the position of the figure, the angle of the figure, the color of the figure, the size of the figure, or the shape of the figure. It may be the thickness of a line for drawing a graphic, the size and type of a font included in the graphic, or a combination of two or more thereof. This rule may be, for example, information indicating the attribute value of the graphic before the change and the attribute value of the graphic after the change, and information indicating the attribute value of the graphic before the change and the change of the attribute value of the graphic (For example, a numerical value indicating the attribute value of the graphic before the change, a vector or a scalar indicating the change in the attribute value of the graphic, etc.), and information indicating the graphic before the change and the graphic after the change by an image. There may be other types of information. This rule is strictly information indicating a rule, but is simply referred to as a rule.

The plurality of rules stored in the rule storage unit 11 may be grouped into a plurality of groups. This grouping may or may not be done according to the attribute value. The former case may be, for example, a color change rule group, a movement group, etc., or, among movements, a straight movement group, a right movement group, a left movement group, etc. It may be a moving group or the like.
In addition, it is preferable that the number of rules stored in the rule storage unit 11 is at least equal to the number of figure attribute values plus one.

  The rule storage unit 11 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, etc.). The process in which a rule is memorize | stored in the rule memory | storage part 11 is not ask | required. For example, a rule may be stored in the rule storage unit 11 via a recording medium, a rule transmitted via a communication line or the like may be stored in the rule storage unit 11, or an input device The rule input via the rule may be stored in the rule storage unit 11. The rule storage in the rule storage unit 11 may be temporary storage in a RAM (Random Access Memory) of a rule read from an external storage device or the like, or may be long-term storage.

  The synthesis rule storage unit 16 stores the rules synthesized by the rule synthesis unit 15 (hereinafter referred to as “synthesis rules”). The synthesis rule storage unit 16 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, an optical disk, etc.). Similar to the rule storage unit 11, the synthesis rule storage unit 16 can be realized by a predetermined recording medium (for example, a semiconductor memory, a magnetic disk, or an optical disk).

  The determination unit 12 includes the attribute value of the graphic included in the image received by the reception unit 2 or the image output by the rule application unit 17 and before the change of a plurality of rules stored in the synthesis rule storage unit 16. The similarity is calculated using an existing method for determining whether or not the attribute values match for the attribute value of the figure. If it is determined from the calculated similarity that there is a matching rule for the matching attribute value, the rule for the matching attribute value is selected.

  The similarity calculation unit 13 includes an attribute value of a graphic included in the image determined to have no matching rule in the determination unit 12 and a graphic before change indicated by a plurality of rules stored in the rule storage unit 11. The similarity with the attribute value of is calculated. The similarity of position may be determined according to, for example, the proximity of a figure, the similarity of angle may be determined, for example, according to a difference in angle, and the similarity of shape may be determined, for example, as a shape It may be determined depending on whether the feature points are approximated by extracting the feature points. In addition, when the pattern of the shape change is determined in advance, the shape similarity may be determined by pattern matching, for example. Since a method for calculating the similarity of various attribute values (for example, position, angle, shape, color, etc. as described above) of these figures is already known, detailed description thereof will be omitted. When calculating the similarity, for example, if it is necessary to calculate the attribute value from the figure before the change indicated by the rule or the figure included in the image input to the determination unit 12, Processing shall also be performed. Further, when calculating the similarity, it is not necessary to use all the attribute values of the graphic. For example, the similarity may be calculated using only the figure angle among the figure color, position, and angle.

  The selection unit 14 selects two or more rules having a high similarity calculated by the similarity calculation unit 13. High similarity means that it is higher than the similarity of other rules. Selecting a rule may be, for example, a process of storing information for identifying the selected rule in a predetermined recording medium. As a method for selecting this rule, the following (1) to (4) can be used.

(1) Select a predetermined number from those with higher similarity;
The selecting unit 14 specifies only a predetermined number from the highest similarity among the plurality of similarities calculated by the similarity calculating unit 13, and sets rules corresponding to the specified similarities. You may choose. In this case, for example, information indicating a predetermined number is stored in a recording medium (not shown), and the selection unit 14 may perform selection processing using the information.

(2) Select a similarity with a threshold value or higher;
The selection unit 14 specifies a similarity level equal to or higher than a predetermined threshold among the plurality of similarity levels calculated by the similarity level calculation unit 13, and selects a rule corresponding to each specified similarity level. Also good. In this case, for example, information indicating a predetermined threshold is stored in a recording medium (not shown), and the selection unit 14 may perform a selection process using the information. Note that when a selection is made using a threshold value, there may be a case where only one rule can be selected, but a plurality of rules can be selected by appropriately setting the threshold value. Can be done.

(3) A predetermined number is selected from those whose similarity is equal to or greater than a threshold value;
The selection unit 14 identifies a similarity degree equal to or greater than a predetermined threshold among the plurality of similarity degrees calculated by the similarity degree calculation unit 13, and has the highest similarity degree among the identified similarity degrees From this, only a predetermined number may be specified, and a rule corresponding to each specified similarity may be selected.

(4) Selection for each group;
When the rules are grouped, the selection unit 14 may select a group having a high similarity calculated by the similarity calculation unit 13. Selecting a group having a high degree of similarity means selecting each rule included in the group having the highest degree of similarity. Note that the similarity corresponding to the group in this case may be an average value of the similarity regarding each rule included in the group, and when the number of rules included in each group is the same, the similarity May be the total value. Alternatively, an attribute value is stored in association with each group (this is used as a representative attribute value), and the similarity calculation unit 13 inputs the attribute value of the graphic input to the determination unit 12 and the representative of each group. The similarity with the attribute value may be calculated, and the selection unit 14 may select a group with the calculated high similarity.

  The rule synthesizing unit 15 synthesizes two or more rules selected by the selecting unit 14 at a ratio corresponding to the similarity calculated by the similarity calculating unit 13 and writes the synthesized rule to the synthesis rule storage unit 16. For example, when the rule A and the rule B are selected, and the similarity with the rule A is higher than the similarity with the rule B, the rule composition unit 15 determines that the rule is more than the rule B. Rule A and rule B are combined so as to be closer to A. The rule synthesizing unit 15 can synthesize a rule by, for example, multiplying the amount of change indicated by the rule and the similarity ratio of the rule and adding the result for each selected rule. When the rules are grouped, the rule synthesis unit 15 may synthesize two or more rules included in the group selected by the selection unit 14. A specific rule composition method will be described later.

  The rule application unit 17 changes the graphic included in the image using the rule selected by the determination unit 12 or the rule synthesized by the rule synthesis unit 15. More specifically, the rule application unit 17 applies the rule selected by the determination unit 12 or the rule synthesized by the rule synthesis unit 15 to the graphic included in the image input to the determination unit 12. The figure is changed. The change depends on the content of the rule. The change is, for example, movement or rotation, color change, shape change, or the like. A specific rule application method will be described later. The result output by the rule application unit 17 is again input to the determination unit 12.

  The output unit 3 outputs an image including the changed figure to which the rule applying unit 17 applied the rule. Here, this output may be displayed on a display device (for example, a CRT (cathode ray tube) or a liquid crystal display), may be transmitted via a communication line to a predetermined device, or may be printed by a printer. It may be stored in a recording medium or information may be transferred to other components. The output unit 3 may perform two or more processes among those processes. In the present embodiment, as described above, the result output by the rule application unit 17 is applied again to the determination unit 12 to change the figure repeatedly, but the output unit 3 It is assumed that the image of the current figure is stored in a predetermined recording medium. The output unit 3 may or may not include an output device (for example, a display device or a printer). Further, the output unit 3 may be realized by hardware, or may be realized by software such as a driver for driving these devices.

  Next, the operation of the graphic change device 1 according to the present embodiment will be described using a flowchart.

  (Step S101) The determination unit 12 determines whether an image has been input. If an image is input, the process proceeds to step S102. If not, the process of step S101 is repeated until an image is input. The determination unit 12 may receive an input from the reception unit 2 outside the graphic change device 1 or may receive an input from the rule application unit 17.

  (Step S <b> 102) The determination unit 12 includes the attribute value of the graphic before the change in the plurality of combination rules stored in the combination rule storage unit 16 and the image input from the reception unit 2 or the rule application unit 17. The similarity with the attribute value of the figure included in the is calculated, and it is determined whether there is a synthesis rule for the matching attribute value. The similarity calculation performed here is performed by a simple method for determining whether or not the attribute values match. Any existing method can be used for this. The determination unit 12 proceeds to step S103 if there is no matching rule for the matching attribute value, and proceeds to step S107 if there is any.

  (Step S103) The similarity calculation unit 13 includes the attribute value of the graphic before the change in the plurality of rules stored in the rule storage unit 11, and the attribute value of the graphic included in the image input to the determination unit 12. The similarity is calculated. This process will be described later with reference to the flowchart of FIG.

(Step S <b> 104) The selection unit 14 selects two or more rules having a high similarity calculated by the similarity calculation unit 13.
(Step S105) The rule synthesizing unit 15 reads two or more rules selected by the selecting unit 14 from the rule storage unit 11, and synthesizes these rules. As described above, the rules are combined at a rate corresponding to the similarity calculated by the similarity calculation unit 13.
(Step S106) The rule synthesis unit 15 writes the rule synthesized in step S105 in the synthesis rule storage unit 16. When the rule synthesized in step S105 is already stored in the synthesis rule storage unit 16, the synthesis rule may be read from the synthesis rule storage unit 16 and applied without writing.

(Step S107) The rule application unit 17 includes the rule synthesized by the rule synthesis unit 15 in Step S105 or the synthesis rule determined to have the matching attribute value in Step S102 in the image input to the determination unit 12. Applies to contained shapes. By this application, the figure is changed.
(Step S <b> 108) The output unit 3 outputs an image including the changed figure to which the rule applying unit 17 applied the rule. In the present embodiment, as described above, the output unit 3 accumulates the image including the changed graphic in a predetermined recording medium, and the rule application unit 17 outputs the image to the determination unit 12. . Then, the process returns to step S101.

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

  FIG. 3 is a flowchart showing details of the process of calculating the similarity (step S103) in the flowchart of FIG.

(Step S201) The similarity calculation unit 13 sets a counter i to 1.
(Step S <b> 202) The similarity calculation unit 13 reads the i-th rule from the rule storage unit 11, the attribute value of the graphic before the change in the rule, and the attribute of the graphic included in the image input to the determination unit 12. The similarity with the value is calculated.
(Step S203) The similarity calculation unit 13 temporarily stores the calculated similarity in association with information for identifying the rule used in the calculation in a predetermined recording medium.
(Step S204) The similarity calculation unit 13 increments the counter i by 1.
(Step S205) The similarity calculation unit 13 refers to the rule storage unit 11 and determines whether or not the i-th rule exists. And when it exists, it returns to step S202, and when it does not exist, it returns to the flowchart of FIG.

  Next, the operation of the graphic change device 1 according to the present embodiment will be described using a specific example. In this specific example, description will be made using an airplane figure. The change due to the rule is assumed to be the movement of the airplane and the change (rotation) of the direction. In addition, the selection unit 14 selects a rule having the highest similarity from the top two.

  FIG. 4 is a diagram illustrating an example of a plurality of rules stored in the rule storage unit 11. As shown in FIG. 4, the graphic before the change and the graphic after the change are associated with each other. The rule ID is information for identifying each rule. For example, the rule indicated by the rule ID “1” defines a rule that the airplane moves forward.

  FIG. 5 is an example of a rule description method different from FIG. In this description method, the figure before and after the change (in this example, an airplane figure) is displayed on the same screen. Set the x-axis in the horizontal direction and the y-axis in the vertical direction with the reference point of the figure before the change (in this example, the center of the airplane) as the origin, and the main axis of the figure (in this example, the longitudinal direction of the fuselage of the airplane) And the angle θi between the x axis and the axis. Further, by setting a vector Vi (xi, yi) having the reference point of the graphic after the change and the reference point of the graphic after the change as the end point and a relative angle difference Φi between the graphic before and after the change. Write the rules. Therefore, the rule shown in FIG. 5 indicates that the vector moves by Vi and rotates counterclockwise by the angle Φi. In the example of FIG. 5, two axes are taken in the horizontal direction and the vertical direction. However, any two axes can be taken as long as they are orthogonal with the reference point of the figure before the change as the origin.

  Processing for applying the rule shown in FIG. 5 to the graphic before application of the rule shown in FIG. 6 will be described. The x axis and the y axis are set so that the main axis of the graphic before application of the rule in FIG. 6 and the main axis of the graphic in FIG. At the set xy coordinates, the rule set in FIG. 5 is applied, that is, the translation by the vector Vi and the rotation operation of the angle difference Φi are performed. Thereby, a rule for a figure can be applied.

Next, a rule synthesis method will be described. Here, a case where the following two rules are combined will be described.
(Rule 1): Vector V1, rotation angle φ1
(Rule 2): Vector V2, rotation angle φ2

Further, it is assumed that the similarity between the attribute value of the figure to which the rule is applied and the attribute value of the figure before the change of the rule is as follows. A method for calculating the similarity will be described later.
(Rule 1): Similarity r1
(Rule 2): Similarity r2

  In this case, the combined vector V is as follows.

  Further, the rotation angle φ after synthesis is expressed by the following equation.

  As for the application of the rule after synthesis, only the vector V after synthesis and the rotation angle φ after synthesis are applied to the figure before the rule application, and it is the same as described above.

Next, a series of processes from when an initial image is received until an image including a graphic after change is output will be described.
First, it is assumed that the initial image shown in FIG. 7 is input to the determination unit 12 (FIG. 2: step S101). When there is no combination rule in the combination rule storage unit 16 in which the attribute value of the image before the change matches the attribute value of the input initial image (FIG. 2: Step S102: NO), the similarity by the similarity calculation unit 13 A degree calculation process is performed (FIG. 2: S103). Specifically, the similarity calculation unit 13 reads the rule with the rule ID “1” shown in FIG. 4 from the rule storage unit 11, and the attribute value of the graphic before the change of the rule and the received FIG. 7. The degree of similarity with the attribute value of the figure included in the image shown in FIG. 3 is calculated (FIG. 3: steps S201 and S202). Here, it is assumed that the similarity calculation unit 13 calculates the similarity r using the following equation.

  Here, W is a constant value to be appropriately selected and is stored in advance in the graphic change device 10, but may be changed as appropriate. In addition, θ is an angle of a graphic included in the image input to the determination unit 12, and θi is an angle of the graphic before the change in the rule ID “i”. As shown in FIG. 8, θ is an angle between the X axis of the XY coordinate system, which is an absolute coordinate system set for the image, and the orientation of the figure. That is, the angle is used as the attribute value of the figure for calculating the similarity. The orientation of the figure is set in the longitudinal direction of the airplane fuselage as described above. The same applies to rules. Therefore, the angle difference between the graphic before the change of the rule and the graphic included in the image input to the determination unit 12 is obtained by | θi−θ |. The similarity is a value corresponding to the difference in angle. The similarity r becomes closer to 1 as the difference between the values of θi and θ is smaller (that is, as the difference between the angles is smaller), and as the difference between the values of θi and θ is larger (that is, as described above). The larger the angle difference, the closer to 0.

  Assume that the similarity between the angle of the graphic before the change in the rule of rule ID “1” and the angle of the graphic included in the image input to the determination unit 12 is 0.5. Then, the similarity calculation unit 13 temporarily stores the similarity “0.5” in association with the rule ID “1” (FIG. 3: step S203). The first record in FIG. 9 shows the correspondence between the rule ID temporarily stored in this way and the similarity. Thereafter, the similarity calculation unit 13 sequentially calculates the similarity for each rule ID (FIG. 3: steps S204, S205, S202, S203). Finally, it is assumed that information associating the temporarily stored rule ID with the similarity is as shown in FIG. The similarity calculation unit 13 passes the table shown in FIG. 9 to the selection unit 14.

  Upon receiving the table, the selection unit 14 sorts the records included in the table in descending order of similarity, and selects the top two rule IDs (FIG. 2: step S104). Here, it is assumed that the selected rule IDs are “1” and “2”. Then, the selection unit 14 passes the selected rule ID and the corresponding degree of similarity to the rule synthesis unit 15.

  The rule synthesizing unit 15 reads the rules with the rule IDs “1” and “2” received from the selection unit 14 from the rule storage unit 11, respectively, and from the read rules, the vector V and the rotation angle φ as described above. Are calculated (FIG. 2: Step S105). Then, the calculated vector V and the rotation angle φ are passed to the rule applying unit 17. In addition, the rule synthesis unit 15 synthesizes the attribute values of the image before the change of the rule IDs “1” and “2” at a ratio according to the similarity, and the synthesized attribute value of the image before the change and the vector V And a synthesis rule including the rotation angle φ is written in the synthesis rule storage unit 16.

  The rule application unit 17 changes the graphic included in the image shown in FIG. 7 as described above using the vector V received from the rule synthesis unit 15 and the rotation angle φ (FIG. 2: step). S107). As a result, the figure is changed as shown in FIG. In FIG. 10, the graphic included in the initial image is indicated by a broken line, but this is for convenience of explanation, and the broken line graphic is not originally included in the image. Further, the image shown in FIG. 10 shows an outline of the screen to which the rule shown in FIG. 4 is applied, and the position of the figure is not accurate.

  The rule application unit 17 passes the image shown in FIG. 10 to which the combined rule is applied to the determination unit 12 and accumulates it in a predetermined recording medium (FIG. 2: step S108). Then, the process from the input to the output of the image is repeatedly executed, so that a moving image is generated using the rule. Since the two rules are combined and used in the generation of the moving image, it is possible to generate a moving image utilizing each rule.

In this specific example, the case where the degree of similarity is calculated using the angle of the graphic as the attribute value has been described. However, the degree of similarity may be calculated using an attribute value other than the angle of the graphic, or Similarity may be calculated using other attribute values together with the angle of the figure. In this specific example, the case where the similarity is in the range of 0 to 1 has been described, but this need not be the case.
Further, in this specific example, the case where the graphic is changed by movement and angular change (rotation) has been described. However, as described above, other changes may be made. For example, a shape change, a size change, a color change, or the like may be performed.
Further, in this specific example, the case where two rules are combined has been described, but the same can be done when three or more rules are combined. For example, it can be synthesized as follows. However, N is an integer greater than or equal to 3.

Further, in this specific example, the case has been described in which the determination unit 12 receives the image output from the rule application unit 17 to repeatedly change the figure, but this need not be the case. For example, a change may be made only once for a graphic included in the image input from the reception unit 2 to the determination unit 12.
In this specific example, the case where the result output from the rule application unit 17 is input again to the determination unit 12 has been described. However, the output of the output unit 3 may be input to the reception unit 2 again. That is, for example, the accepting unit 2 may accept an initial image from the outside and input it to the graphic change device 1, accept a subsequent image from the output unit 3, and input it to the graphic change device 1 again.

  As described above, according to the graphic change device 1 according to the present embodiment, two or more rules are selected, and these rules are combined and applied according to the degree of similarity, so that the rules are not combined. Compared with the conventional example, it is possible to realize more diverse movements. In addition, since such a variety of movements can be realized without setting a large number of rules, the labor of the user who sets the rules is reduced.

  In the above embodiment, each processing or each function may be realized by centralized processing by a single device or a single system, or fractionally processed by a plurality of devices or a plurality of systems. It may be realized by doing.

  In the above embodiment, each component may be configured by dedicated hardware, or a component that can be realized by software may be realized by executing a program. For example, each component can be realized by a program execution unit such as a CPU (central processing unit) reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory. Note that the software that realizes the information processing apparatus in the above embodiment is the following program. In other words, this program stores a change rule indicating correspondence between before and after the change of the attribute value of the figure included in the input image and a plurality of attribute values stored in the rule storage unit in the computer. A similarity calculation step for calculating a similarity with each of the attribute values of the graphic before the change indicated by the selection, a selection step for selecting two or more rules having a high similarity calculated by the similarity calculation step, and the selection step And a rule synthesis step of synthesizing the two or more rules selected in step 1 at a ratio corresponding to the similarity calculated in the similarity calculation step.

Note that the program does not include at least processing performed only by hardware, for example, processing performed by a modem or an interface card.
Further, this program may be executed by being downloaded from a server or the like, and a program recorded on a predetermined recording medium (for example, an optical disk such as a CD-ROM, a magnetic disk, a semiconductor memory, or the like) is read out. May be executed by
Further, the computer that executes this program may be singular or plural. That is, centralized processing may be performed, or fractional processing may be performed.

FIG. 11 is a schematic diagram showing an example of the appearance of a computer that executes the program and realizes the graphic change apparatus 1 according to the embodiment. The above-described embodiment is realized by computer hardware and a computer program executed on the computer hardware.
In FIG. 11, a computer system 100 includes a computer 101 including a CD-ROM (Compact Disk Read Only Memory) drive 105, an FD (Flexible Disk) drive 106, a keyboard 102, a mouse 103, and a monitor 104.

  FIG. 12 is a diagram illustrating a computer system. 12, in addition to the CD-ROM drive 105 and the FD drive 106, a computer 101 is connected to a CPU 111, a ROM (Read Only Memory) 112 for storing a program such as a boot-up program, and the CPU 111. A RAM (Random Access Memory) 113 that temporarily stores application program instructions and provides a temporary storage space, a hard disk 114 that stores application programs, system programs, and data, and a CPU 111 and a ROM 112 are mutually connected. And a bus 115. The computer 101 may include a network card (not shown) that provides connection to the LAN.

A program that causes the computer system 100 to execute the functions of the graphic change device 1 according to the above embodiment is stored in the CD-ROM 121 or FD 122, inserted into the CD-ROM drive 105 or FD drive 106, and stored in the hard disk 114. May be forwarded. Instead, the program may be transmitted to the computer 101 via a network (not shown) and stored in the hard disk 114. The program is loaded into the RAM 113 at the time of execution. The program may be loaded directly from the CD-ROM 121, the FD 122, or the network.
The program does not necessarily include an operating system (OS), a third-party program, or the like that causes the computer 101 to execute the functions of the graphic change device 1 according to the above-described embodiment. The program may include only a part of an instruction that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 100 operates is well known and will not be described in detail.
Further, the present invention is not limited to the above-described embodiment, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, according to the graphic change device or the like according to the present invention, it is possible to change a graphic by combining and applying a rule. For example, in a system or the like that creates a moving image by changing a graphic according to the rule Useful.

The block diagram which shows the structure of the figure change apparatus by one embodiment of this invention. The flowchart which shows operation | movement of the figure change apparatus by the embodiment. The flowchart which shows operation | movement of the figure change apparatus by the embodiment. The figure which shows an example of the rule in the embodiment. The figure which shows an example of the rule in the embodiment. The figure for demonstrating application of the rule in the embodiment. The figure which shows an example of the initial stage image in the embodiment. The figure for demonstrating calculation of the similarity in the same embodiment. The figure which shows an example of the similarity in the same embodiment. The figure which shows an example of the image to which the rule in the same embodiment was applied. The schematic diagram which shows an example of the external appearance of the computer system in the embodiment. The figure which shows an example of a structure of the computer system in the embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Graphical change apparatus 11 ... Rule memory | storage part 12 ... Judgment part 13 ... Similarity calculation part 14 ... Selection part 15 ... Rule synthesis | combination part 16 ... Synthesis | combination rule memory | storage part 17 ... Rule application part 2 ... Reception part 3 ... Output part

Claims (9)

A graphic change device for changing a graphic contained in an image,
A rule storage unit for storing a plurality of change rule information indicating correspondence before and after the change of the attribute value of the figure;
A similarity calculation unit that calculates the similarity between the attribute value of the graphic included in the input image and the attribute value of the graphic before change indicated by the plurality of rules;
A selection unit for selecting two or more rules having a high similarity calculated by the similarity calculation unit;
A rule synthesis unit that synthesizes two or more rules selected by the selection unit at a ratio according to the similarity calculated by the similarity calculation unit;
Using a rule synthesized by the rule synthesis unit, and a rule application unit that changes a figure included in the image,
A graphic change device characterized by changing a graphic in an image according to a change rule.   The graphic change device according to claim 1, wherein the selection unit selects a rule whose similarity calculated by the similarity calculation unit is a predetermined threshold value or more.   The graphic change device according to claim 1, wherein the selection unit selects a predetermined number of rules from the highest similarity calculated by the similarity calculation unit. Information of a plurality of rules stored in the rule storage unit is grouped into a plurality of groups,
The group has a representative attribute value for each group,
The selection unit selects a group having a high similarity with the attribute value of the graphic included in the input image, calculated based on the representative attribute value by the similarity calculation unit,
The rule combining unit combines two or more rules included in the group selected by the selection unit;
The graphic change device according to any one of claims 1 to 3, wherein A synthesis rule storage unit for storing the rules synthesized by the rule synthesis unit;
Judgment means for judging whether there is a rule in which the attribute value of the figure included in the inputted image and the attribute value of the figure before the change match among the rules stored in the synthesis rule storage unit; Prepared,
The rule application unit changes a figure included in an image using a rule determined by the determination unit to match an attribute value.
The graphic change device according to claim 1, wherein the graphic change device is a graphic change device. The rule synthesis unit synthesizes a rule when the determination unit determines that there is no rule when the attribute values match.
The figure changing apparatus according to claim 5, wherein A figure changing method used in a figure changing device for changing a figure included in an image,
The graphic change device is
The attribute value of the figure included in the input image and the attribute value of the figure before the change indicated by the change rule indicating the correspondence before and after the change of the attribute value of the figure stored in the rule storage unit A similarity calculation process for calculating the similarity with each of them,
A selection process for selecting two or more rules having a high similarity calculated in the similarity calculation process;
A rule synthesis process for synthesizing two or more rules selected in the selection process at a ratio according to the similarity calculated in the similarity calculation process;
A figure changing method comprising: a rule applying process for changing a figure included in an image using the rule synthesized in the rule synthesizing process.   A computer program for causing a computer to operate as the graphic change device according to any one of claims 1 to 6.   The computer-readable recording medium which recorded the computer program of Claim 8.

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