Cartoon frame image sorting system and cartoon frame image sorting method

Abstract

To provide a cartoon frame image sorting system and a cartoon frame image sorting method, capable of easily extracting frame images contained in a cartoon image drawn using a gray scale or the like and sorting the frame images along a cartoon story.SOLUTION: A cartoon frame image sorting system includes a gray scale conversion unit 21, an edge detection unit 22, a frame image contour detection unit 23, an order information addition unit 24, a frame image extraction unit 25, a frame image sorting unit 26, and a file storage unit 27. The system converts a cartoon image into a gray scale before detecting edge information; on the basis thereof, determines order of frame images; extracts the frame images before sorting; and storing the sorted frame images in a file.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to a system for extracting frame images from a manga image that includes a plurality of frame images, and creating a file in which the frame images are rearranged to match the story of the manga. [Background technology]

[0002] In recent years, there are many opportunities to read manga on mobile devices with small display screens such as smartphones. Manga created for mobile devices from the beginning has image data optimized for mobile devices. Specifically, for example, the image data is displayed on a mobile device for each frame image so that readers can easily read it.

[0003] On the other hand, manga images that are intended to be printed on paper contain multiple frame images in one manga image, which makes them difficult to read when displayed on a small screen, and requires parts to be enlarged.

[0004] In response to this situation, for example, a frame extraction method has been proposed, which includes "a binarization step of binarizing a comic image into black and white, a first extraction step of extracting contours from the comic image and extracting areas surrounded by frame lines in the comic image as frames, a clustering step of clustering black areas from the remaining areas in the comic image that were not extracted as frames by the first extraction step, and a second extraction step of treating each of the clustered areas as a rectangular area and extracting the rectangular areas as frames" (see Patent Document 1). [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent Publication No. 2021-60875 Summary of the Invention [Problem to be solved by the invention]

[0006] However, since manga uses not only black and white but also intermediate colors (grayscale), the above-mentioned frame extraction method has a problem in that the accuracy of extracting manga frames is low for such manga. Also, there is a problem that the manga image cannot be binarized if parts other than the frame images are colored. Furthermore, since binarization depends on the image color, there is a problem that the frame images cannot be extracted unless the difference in color between the image and other parts is clear.

[0007] In view of the above-mentioned circumstances, the present invention aims to provide a manga frame image rearrangement system and a manga frame image rearrangement method that can easily extract frame images contained in manga images drawn in grayscale or the like, and rearrange them in accordance with the story of the manga. [Means for solving the problem]

[0008] The inventors of the present invention have conducted intensive research into the above-mentioned problems and have discovered the following revolutionary manga frame image rearrangement system and manga frame image rearrangement method.

[0009] A first aspect of the present invention for solving the above problem is a manga frame image rearrangement system for creating an altered manga image from a manga image containing a plurality of manga frame images by rearranging the frame images in accordance with the story of the manga, the manga frame image rearrangement system comprising: a grayscale conversion unit for converting the manga image into a grayscale image expressed in grayscale; an edge detection unit for detecting edge information relating to edges from the grayscale image; a frame image contour detection unit for detecting contour information indicative of the contours of the frame images based on the edge information; an order information assignment unit for assigning order information indicative of the order of the frame images to the frame images in accordance with the story of the manga based on the contour information; a frame image extraction unit for extracting frame images from the manga image based on the contour information; a frame image rearrangement unit for rearranging the frame images in accordance with the story of the manga based on the order information; and a file storage unit for saving the frame images rearranged by the frame image rearrangement unit as an altered manga image.

[0010] Here, the "edge" refers to the boundary that separates a frame image from other images.

[0011] According to the first aspect, the frame images included in the manga image can be rearranged according to the story of the manga.

[0012] A second aspect of the present invention resides in the manga frame image rearrangement system described in the first aspect, characterized in that the frame images are approximately rectangular, the contour information includes frame image coordinate information indicating the coordinates of the frame images in the manga image in a predetermined coordinate system, and the contour frame image extraction unit extracts the frame images from the manga image based on the frame image coordinate information.

[0013] According to the second aspect, each frame image can be easily extracted from a manga image.

[0014] A third aspect of the present invention resides in the manga frame image rearrangement system according to the first or second aspect, further comprising a noise reduction section that reduces noise contained in the manga images.

[0015] According to the third aspect, by reducing noise from the manga image using the noise reduction unit before converting the manga image into a grayscale image, it is possible to convert the manga image into a grayscale image with less noise.

[0016] A fourth aspect of the present invention resides in a manga frame image rearrangement system according to the first or second aspect, characterized in that it has a frame image contour approximation unit that creates contour approximation information that approximates the contour of the frame image from the contour information detected by the frame image contour detection unit, and converts the contour approximation information into contour information.

[0017] According to the fourth aspect, since an outline is usually composed of consecutive coordinate points, the processing by the frame image extraction unit takes time, but the outline can be simplified by the outline approximation information, which results in improved accuracy in extracting frame images by the frame image extraction unit and improved efficiency in this processing.

[0018] A fifth aspect of the present invention resides in a manga frame image rearrangement system as described in the first or second aspect, characterized in that it has a frame image adjustment unit that enlarges or reduces the frame images extracted by the frame image extraction unit to a predetermined size to create a scaled image, and replaces the scaled image with a frame image.

[0019] According to the fifth aspect, the frame images can be enlarged or reduced to a predetermined size, making it possible to create an easily readable modified manga image.

[0020] A sixth aspect of the present invention is the manga frame image rearrangement system according to the first or second aspect, further comprising a frame image coloring unit that colors the frame images.

[0021] According to the sixth aspect, since it is possible to color monochrome or grayscale frame images, and to change the coloring of color frame images, it is possible to create modified manga images with greater added value.

[0022] A seventh aspect of the present invention is a manga frame image rearrangement method for creating an altered manga image from a manga image containing a plurality of manga frame images by rearranging the frame images in accordance with the story of the manga, the method comprising the steps of: a grayscale conversion step of converting the manga image into a grayscale image; an edge detection step of detecting edge information relating to edges from the grayscale image; a frame image contour detection step of detecting contour information indicative of the contours of the frame images based on the edge information; an order information assignment step of assigning order information indicative of the order of the frame images to the frame images in accordance with the story of the manga based on the contour information; a frame image extraction step of extracting frame images from the manga image based on the contour information; a frame image rearrangement step of rearranging the frame images in accordance with the story of the manga based on the order information; and a file saving step of saving the frame images rearranged by the frame image rearrangement unit as an altered manga image.

[0023] According to the seventh aspect, the frame images included in the manga image can be rearranged according to the story of the manga. [Brief description of the drawings]

[0024] [Figure 1] FIG. 1 is a conceptual diagram of a manga frame image rearrangement system according to the first embodiment. [Diagram 2] FIG. 2 is a conceptual diagram of a terminal according to the first embodiment. [Diagram 3] FIG. 3 is an example of a manga image according to the first embodiment. [Figure 4] FIG. 4 is a conceptual diagram of the frame image rearrangement server according to the first embodiment. [Diagram 5]FIG. 5 shows an example of the frame image contour detection section according to the first embodiment detecting contour information indicating the contour of a frame image based on edge information. [Figure 6] FIG. 6 is an example of an altered manga image according to the first embodiment. [Figure 7] FIG. 7 is a flowchart showing the operation of the manga frame image rearrangement system according to the first embodiment. [Figure 8] FIG. 8 is a conceptual diagram of a frame image rearrangement server according to the second embodiment. [Figure 9] FIG. 9 is a conceptual diagram of a frame image rearrangement server according to the third embodiment. [Figure 10] FIG. 10 is a conceptual diagram of a frame image rearrangement server according to the fourth embodiment. [Figure 11] FIG. 11 is an example of an altered manga image according to the fourth embodiment. [Figure 12] FIG. 12 is a conceptual diagram of a frame image rearrangement server according to the fifth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0025] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of a manga frame image rearrangement system according to the present invention will be described with reference to the accompanying drawings. Note that the present invention is not limited to the following embodiment.

[0026] (Embodiment 1) 1 is a conceptual diagram of a manga frame image rearrangement system according to this embodiment. As shown in this diagram, the frame image rearrangement system 1 is made up of a plurality of terminals 10 and a frame image rearrangement server 20 connected to the plurality of terminals 10 via a network 30. Note that the network 30 is not particularly limited as long as it can connect the terminals 10 and the frame image rearrangement server 20, regardless of whether it is wired or wireless. Examples of the network 30 include the Internet and an intranet.

[0027] First, terminal 10 will be described. As shown in Fig. 2, terminal 10 is not particularly limited as long as it has input unit 11 capable of inputting manga image 100 (described later) and display unit 12 capable of displaying modified manga image 200 (described later). Input unit 11 is not particularly limited as long as it is capable of inputting manga image 100 to terminal 10. Examples of input unit 11 include a DVD (CD) drive capable of reading manga image 100 from a DVD (CD) on which manga image 100 is recorded, and a USB memory reader on which manga image 100 is stored. Examples of terminal 10 include a commercially available personal computer.

[0028] Here, a manga image 100 is image data including one or more frame images 101 as shown in Fig. 3, and each frame image 101 is arranged according to the story of a manga. The manga image 100 is a concept that includes a collection of multiple pieces of image data as shown in Fig. 3. A frame image 101 refers to a single piece of image data that represents a certain point in the story of a manga. An example of a manga image 100 is image data of a comic that was previously printed on paper.

[0029] Note that manga image 100 including frame image 101 may be color image data, grayscale image data, or monochrome image data. The format of the manga image data is not particularly limited, and may be PDF, JPEG, PNG, or a unique format. Furthermore, manga image 100 may be a collection of multiple manga images organized according to the story of the manga, for example, image data of each page of a commercially available paper comic organized according to the story.

[0030] Next, the frame image rearrangement server 20 will be described. As shown in Fig. 4, the frame image rearrangement server 20 has a grayscale conversion unit 21, an edge detection unit 22, a frame image contour detection unit 23, a sequence information addition unit 24, a frame image extraction unit 25, a frame image rearrangement unit 26, a file storage unit 27, and an altered manga image DB 28. Note that the frame image rearrangement server 20 is not particularly limited as long as it has these functions. Examples of the frame image rearrangement server 20 include a commercially available personal computer or server.

[0031] Grayscale conversion unit 21 is not particularly limited as long as it can convert manga image 100 into a grayscale image. Examples of grayscale conversion unit 21 include programs having such functions, specifically OpenCV. Note that a grayscale image is an image in which manga image 100 is expressed by a gradation of a predetermined tone from white to black. By removing color information (converting to grayscale) using grayscale conversion unit 21, frame image 101 becomes light and dark information (information consisting of a gradation from white to black), which improves the accuracy of edge detection of frame image 101 (described later) and reduces the amount of data of frame image 101, thereby increasing the processing speed for processing (manufacturing) (described later).

[0032] The edge detection unit 22 is not particularly limited as long as it can detect edge information from a grayscale image. In other words, the edge detection unit 22 is not particularly limited as long as it can detect boundary information (edge ​​information) in which the color change of the image in the grayscale image is the largest. As the edge detection unit 22, for example, a program having such a function can be mentioned, specifically, OpenCV, etc. By detecting the edge, it is possible to easily detect the contour information described later.

[0033] Frame image contour detection unit 23 is not particularly limited as long as it can detect contour information indicating the contour of frame image 101 based on edge information. An example of frame image contour detection unit 23 is a program having a function of detecting a portion of manga image 100 surrounded by straight line B as contour information of frame image 101, as shown in Fig. 5, and a specific example is OpenCV.

[0034] Here, the contour information refers to information including the shape and position of each frame image 101 included in the manga image 100. For example, when the frame image 101 is substantially rectangular, the contour information may include the intersection coordinates of each side forming the frame image 101 in a predetermined coordinate system (the intersection coordinates of two straight lines), as will be described later.

[0035] There are no particular limitations on the order information assigning unit 24, so long as it can assign order information indicating the order of the frame images 101 to each frame image 101 based on the outline information and in line with the story of the manga. Examples of the order information assigning unit 24 include a program that creates order information in accordance with a predetermined rule based on the outline information and assigns the order information to each frame image 101, or a program that creates order information using trained artificial intelligence (AI) and assigns the order information to each frame image 101.

[0036] Note that the predetermined rules include, for example, the following rules. First, sequence information is assigned in order horizontally from the top right frame image 101 to the top left frame image 101. Next, sequence information is assigned horizontally from the frame image 101 directly below the top right frame image 101 toward the left. These operations are repeated until the bottom left frame image 101 is reached. Using these rules, sequence information can be assigned to each frame image 101.

[0037] Frame image extraction unit 25 is not particularly limited as long as it can extract frame image 101 from manga image 100 based on the contour information. An example of frame image extraction unit 25 is a program having such a function, specifically, OpenCV or the like.

[0038] Here, when frame image 101 has a substantially rectangular shape, frame image 101 can be easily extracted from manga image 100 as follows. First, a predetermined coordinate system is constructed in manga image 100. An example of the predetermined coordinate system is an orthogonal coordinate system (XY coordinate system) with the lower right corner of manga image 100 as the origin. Note that a substantially rectangular shape refers to a shape in which a closed space is formed by a plurality of straight lines, such as not only a rectangle but also a trapezoid, rhombus, pentagon, hexagon, etc., as in frame images 101a and 101b shown in FIG. 5.

[0039] Next, a set of edge information that forms a closed space (for example, a set of straight lines (edge ​​information) that form a closed space) is detected from the edge information (for example, straight line information) detected by the edge detection unit 22. After that, coordinates (frame image coordinate information) indicating the intersection of each edge information (intersection of two straight lines B) are extracted.

[0040] Then, image portions specified based on the plurality of frame image coordinate information are extracted as frame images 101 from manga image 100. In this manner, each frame image 101 can be easily extracted from manga image 100.

[0041] Frame image rearrangement unit 26 is not particularly limited as long as it can rearrange frame images 101 in accordance with the story of the manga based on the sequence information. An example of frame image rearrangement unit 26 is a program having such a function, and a specific example is OpenCV.

[0042] The order in which the frame images 101 are rearranged by the frame image rearrangement unit 26 is not particularly limited. For example, as shown in FIG. 6, the frame images 101 may be rearranged from top to bottom in accordance with the story of the manga (based on the order information), or the frame images 101 may be rearranged from right to left in accordance with the story of the manga (based on the order information).

[0043] File storage unit 27 is not particularly limited as long as it can save (store) frame images 101 rearranged by frame image rearrangement unit 26 in altered manga image DB 28 as altered manga image 200. An example of file storage unit 27 is a program having such a function.

[0044] There are no particular limitations on the file format of altered manga image 200 stored by file storage unit 27. Examples of the file format of altered manga image 200 include JPEG format, PNG format, MP4 format, and the like.

[0045] There are no particular limitations on altered manga image DB 28, so long as it is capable of storing altered manga images 200. An example of altered manga image DB 28 is a commercially available relational database.

[0046] Next, a description will be given of the operation of the manga frame image rearrangement system 1 according to this embodiment. Fig. 7 is a flowchart showing the operation of the manga frame image rearrangement system 1.

[0047] As shown in this diagram, when manga frame image rearrangement system 1 operates, first, manga image 100 is input from input unit 11 of terminal 10 (S1). Input manga image 100 is transmitted to frame image rearrangement server 20.

[0048] The transmitted manga image 100 is converted into a grayscale image by grayscale conversion unit 21 of frame image rearrangement server 20 (S2). Then, edge detection unit 22 detects edge information from the grayscale image (S3).

[0049] Thereafter, frame image contour detection unit 23 detects contour information of frame images 101 based on the edge information (S4). Then, order information assignment unit 24 assigns order information to each frame image 101 in manga image 100 based on the detected contour information (S5). Also, frame image extraction unit 25 extracts each frame image 101 from manga image 100 based on the contour information (S6).

[0050] Then, frame image rearrangement unit 26 rearranges frame images 101 in accordance with the storyline of the manga based on the order information (S7), and file storage unit 27 stores the rearranged manga image 200 in altered manga image DB 28 (S8). Altered manga image 200 is then transmitted to terminal 10 from which manga image 100 was input. Then, altered manga image 200 is displayed on display unit 12 (S9), and the operation of manga frame image rearrangement system 1 comes to an end.

[0051] By configuring a manga frame image rearrangement system as described above, frame images 101 included in manga image 100 can be easily rearranged in accordance with the storyline of the manga.

[0052] (Embodiment 2) In the first embodiment, the manga image is directly converted into a grayscale image, but the present invention is not limited to this.

[0053] For example, as shown in FIG. 8, a manga frame image rearrangement system may be configured such that frame image rearrangement server 20A has a noise reduction section 29A that reduces noise contained in manga images.

[0054] Noise reduction unit 29A is not particularly limited as long as it can reduce (remove) noise contained in a manga image. Methods for reducing (removing) noise include, for example, moving average filtering and median filtering. Examples of noise reduction unit 29A include a program having such a function, and specifically, OpenCV.

[0055] Before converting a manga image into a grayscale image, noise reduction unit 29A is used to reduce noise from the manga image, thereby converting the manga image into a grayscale image with less noise. As a result, edge detection unit 22 can clearly detect boundary information (edge ​​information) where the color change of the image in the grayscale image is the greatest, and therefore the edge information can be detected more accurately.

[0056] (Embodiment 3) In the first embodiment, frame images are extracted based on contour information, but the present invention is not limited to this.

[0057] For example, as shown in FIG. 9, a manga frame image rearrangement system may be configured so that frame image rearrangement server 20B creates contour approximation information that approximates the contours of frame images from contour information and has frame image contour approximation unit 29B that converts the contour approximation information into contour information.

[0058] Frame image contour approximation unit 29B is not particularly limited as long as it can create contour approximation information that approximates the contour of a frame image and convert the contour approximation information into contour information. An example of frame image contour approximation unit 29B is a program having such a function, specifically, OpenCV. Note that the method of approximating the contour of a frame image is not particularly limited, and a known approximation method can be used.

[0059] The frame image contour approximation unit 29B creates contour approximation information that approximates the contours of the frame images, and converts the contour approximation information into contour information, which simplifies the contours compared to when the contour information is used as is. As a result, the accuracy of frame image extraction by the frame image extraction unit can be improved, and the processing efficiency of the frame image extraction unit can be increased.

[0060] (Embodiment 4) In the first embodiment, the frame images extracted by the frame image extraction unit are rearranged as is, without being enlarged or reduced, to create an altered manga image, but the present invention is not limited to this.

[0061] For example, as shown in FIG. 10, a manga frame image rearrangement system may be configured so that frame image rearrangement server 20C has a frame image adjustment unit 29C that enlarges or reduces a frame image extracted by frame image extraction unit 25 to a predetermined size to create a scaled image, and replaces the frame image with the scaled image.

[0062] Frame image adjustment section 29C is not particularly limited as long as it can enlarge or reduce the frame images extracted by frame image extraction section 25 to a predetermined size to create a scaled image and replace the frame image with the enlarged or reduced image. The method of enlargement or reduction is not particularly limited, and the enlarged or reduced images may be created so that the horizontal widths of each frame image are the same, or the enlarged and reduced images may be created so that the vertical widths of each frame image are the same.

[0063] An example of frame image adjustment section 29C is a program that can enlarge or reduce frame images so that the widths are the same, such as ImageMagick, as shown in Fig. 11. Note that Fig. 11 shows an altered manga image in which each frame image shown in the figure has been enlarged or reduced so that the widths of the images are the same.

[0064] Frame image adjustment section 29C can enlarge or reduce a frame image to a predetermined size, making it possible to create an easily read altered manga image.

[0065] (Embodiment 5) In the first embodiment, the frame images extracted by the frame image extraction unit are rearranged as is without changing their colors to create an altered manga image, but the present invention is not limited to this.

[0066] For example, as shown in FIG. 12, a manga frame image rearrangement system may be configured such that a frame image rearrangement server 20D has a frame image coloring unit 29D that colors frame images.

[0067] There are no particular limitations on the frame image coloring unit 29D as long as it can color the frame images. Examples of the frame image coloring unit 29D include programs that have such functions, such as Petalica Paint for Manga.

[0068] Frame image coloring unit 29D can be used to color monochrome or grayscale frame images, or to change the coloring of color frame images, making it possible to create modified manga images with greater added value.

[0069] (Other embodiments) In the first embodiment, the manga frame image rearrangement system is configured with a plurality of terminals, a frame image rearrangement server, and a network, but the present invention is not limited to this. For example, the frame image rearrangement server may be provided with the same functions as the input unit and display unit of the terminal, so that the manga frame image rearrangement system is configured with the frame image rearrangement server alone. Even with such a configuration, the same effects as those of the first embodiment can be obtained.

[0070] In the above-described embodiment, the frame image rearrangement system is configured so that the frame image rearrangement server includes a grayscale conversion unit, an edge detection unit, a frame image contour detection unit, a sequence information assignment unit, a frame image extraction unit, a frame image rearrangement unit, a file storage unit, an altered manga image DB, etc., but the present invention is not limited to this. As long as the above-described processing can be performed, the frame image rearrangement system may be configured so that a terminal includes some of these components. Even with such a configuration, the same effects as those of the first embodiment can be obtained.

[0071] Furthermore, in the above-described embodiment, the frame images rearranged by the frame image rearrangement unit are stored as an altered manga image, but the present invention is not limited to this. For example, a frame image rearrangement confirmation step may be added in which a human judges whether the order of the frame images rearranged by the frame image rearrangement unit is correct, and corrects it if it is incorrect. After this step, the altered manga image is saved using the file storage unit. This frame image rearrangement confirmation step allows the frame images to be rearranged more accurately. [Explanation of symbols]

[0072] 1 Manga frame image sorting system 10 Terminal 11 Input section 12 Display section 20, 20A, 20B, 20C, 20D Frame image sorting server 21 Grayscale conversion section 22 Edge detection section 23 Frame image edge detection section 24 Order information assignment section 25 Frame Image Extraction Section 26 Frame Image Rearrangement Section 27 File Storage Section 28 Modified Manga Image DB 29A Noise reduction section 29B Frame image contour approximation 29C Frame Image Adjustment Section 29D Frame image coloring section 30 Network 100 Manga Images 101, 101a, 101b frame images 200, 200A modified manga images

Claims

1. A manga frame image rearrangement system for creating an altered manga image from a manga image including a plurality of manga frame images by rearranging the frame images in accordance with a story of the manga, comprising: a grayscale conversion unit for converting the manga image into a grayscale image represented in grayscale; an edge detection unit for detecting edge information relating to edges from the grayscale image; a frame image edge detection unit that detects edge information indicating an edge of the frame image based on the edge information; an order information adding unit that adds order information indicating an order of the frame images to the frame images according to a story of the manga based on the outline information; a frame image extraction unit that extracts the frame images from the manga image based on the contour information; a frame image sorting unit that sorts the frame images according to a story of the manga based on the order information; a file storage unit that stores the frame images rearranged by the frame image rearrangement unit as the altered manga image; A manga frame image rearrangement system comprising:

2. The frame image is substantially rectangular, the contour information includes frame image coordinate information indicating coordinates of the frame image in the manga image in a predetermined coordinate system; the contour frame image extraction unit extracts the frame images from the manga image based on the frame image coordinate information; 2. The manga frame image rearrangement system according to claim 1.

3. 3. The manga frame image rearrangement system according to claim 1, further comprising a noise reduction unit that reduces noise contained in the manga images.

4. 3. The manga frame image rearrangement system according to claim 1, further comprising a frame image contour approximation unit that creates contour approximation information that approximates the contour of the frame image from the contour information detected by the frame image contour detection unit, and converts the contour approximation information into the contour information.

5. The manga frame image rearrangement system according to claim 1 or 2, characterized in that it has a frame image adjustment unit that enlarges or reduces the frame image extracted by the frame image extraction unit to a predetermined size to create a scaled image, and replaces the scaled image with the frame image.

6. 3. The manga frame image rearrangement system according to claim 1, further comprising a frame image coloring unit for coloring the frame images.

7. 1. A manga frame image rearrangement method for creating an altered manga image from a manga image including a plurality of manga frame images by rearranging the frame images in accordance with a story of the manga, comprising: a grayscale conversion step of converting the manga image into a grayscale image; an edge detection step of detecting edge information relating to edges from the grayscale image; a frame image edge detection step of detecting edge information indicating an edge of the frame image based on the edge information; a sequence information assigning step of assigning sequence information indicating the sequence of the frame images to the frame images in accordance with the story of the manga based on the outline information; a frame image extraction step of extracting the frame image from the manga image based on the contour information; a frame image rearrangement step of rearranging the frame images in accordance with a story of the manga based on the order information; a file saving step of saving the frame images rearranged by the frame image rearrangement unit as the altered manga image; A method for rearranging manga frame images, comprising:

8. a frame image rearrangement confirmation step of determining whether the frame image rearrangement by the frame image rearrangement unit is correct, and correcting the frame image rearrangement if the frame image rearrangement is incorrect; 8. The method for rearranging manga frame images according to claim 7.

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