Information processing device, information processing method, and information processing program

Abstract

This information processing device is provided with a processor, and the processor receives designation of a scene included in a captured moving image, and presents information related to the imaging technology of the designated scene.

Description

Information processing device, information processing method, and information processing program

[0001] The technology disclosed herein relates to an information processing device, an information processing method, and an information processing program.

[0002] Japanese Patent Application Laid-Open Publication No. 2022-040912 describes a detection method characterized by having an operation information acquisition step of acquiring operation information used by a photographer to photograph an object prior to or during image capture, and an intention detection step of detecting the photographing intention of the captured image based on the operation information acquired in the operation information acquisition step.

[0003] Japanese Patent Application Laid-Open Publication No. 2014-179855 describes a display control device that includes a reading means for reading attribute information of an image, including information about the settings when the image was captured, and a display control means for controlling the display of guidance showing how to operate the imaging device to set the settings when the image was captured, based on the attribute information of the image.

[0004] One embodiment of the technique of the present disclosure provides an information processing device, an information processing method, and an information processing program that allow a user to easily check information related to a shooting technique for a desired scene.

[0005] An information processing device according to the technique of the present disclosure includes a processor, and the processor accepts a specification of a scene included in a captured video, and presents information relating to the shooting technique of the specified scene.

[0006] The processor preferably presents the operation history of the camera that captured the video as information about the photography technique.

[0007] Preferably, the processor presents documented information regarding the imaging technique.

[0008] The processor preferably documents the information about the photography technique based on at least one of the video and the operating history of the camera that captured the video.

[0009] Preferably, the processor estimates information about the photography technique based on at least one of the video and an operating history of the camera that captured the video.

[0010] The information relating to the photography technique preferably includes information relating to the composition of the scene.

[0011] The information about the filming techniques preferably includes camera work.

[0012] The information about the photography technique preferably includes the intention behind the photography of the scene.

[0013] Preferably, the processor utilizes a machine learning model to at least one of obtain information about the imaging technique and present information about the imaging technique.

[0014] It is preferable that the method of presenting information about imaging techniques be selectable.

[0015] Preferably, the processor presents information regarding the cinematography including additional cinematography information corresponding to earlier and later portions of the scene.

[0016] Preferably, the processor presents a documented version of the information about the photography techniques, including the information about the additional photography techniques, or presents an estimated photography intent for the scene based on the information about the additional photography techniques.

[0017] The information processing method according to the technology of the present disclosure causes a processor to execute a process of accepting a designation of a scene included in a captured video, and a process of presenting information related to the shooting technique of the designated scene.

[0018] An information processing program according to the disclosed technique causes a processor to execute a process of accepting a designation of a scene included in a captured video and a process of presenting information related to the shooting technique of the designated scene.

[0019] According to the technology of the present disclosure, a user can easily check information related to the shooting technique for a desired scene.

[0020] 9 is a diagram illustrating an example of an information processing device and a server that distributes information to the information processing device. FIG. 10 is a diagram illustrating an example of an operation history of a camera. FIG. 11 is a diagram illustrating an example of the hardware configuration of an information processing device. FIG. 12 is a flowchart illustrating an example of a processing procedure for presenting photography technique information. FIG. 13 is a diagram illustrating an overview of the functions of a processor. FIG. 14 is a diagram illustrating an example of putting photography technique information into text. FIG. 15 is a diagram illustrating an example of presenting scene composition and camera work as photography technique information. FIG. 16 is a diagram illustrating an example of photography technique information including shooting intention. FIG. 17 is a diagram illustrating a scene different from FIG. 7. FIG. 18 is a diagram illustrating an example of photography technique information for the scene in FIG. 10. FIG. 11 is a diagram illustrating an example of estimating photography technique information from a video. FIG. 12 is a diagram illustrating an example in which a method for presenting photography technique information can be selected. FIG. 13 is an example of presenting additional photography technique information for scenes before and after a specified scene.

[0021] The information processing device 10 shown in FIG. 1 is an example of an information processing device according to the technology of the present disclosure. The information processing device 10 has a function of presenting information related to the shooting technique of a video M. A dataset DS including the video M and an operation history HO of the camera that shot the video M is uploaded to a server 12. The video M was shot, for example, by a professional photographer using a camera 14. The camera 14 has a function of recording the camera operation history HO and a communication function, and the video M and the camera operation history HO are uploaded, for example, from the professional photographer's camera 14. Of course, the camera operation history HO may also be uploaded to the server 12 via a mobile terminal or a personal computer. The server 12 distributes the camera operation history HO corresponding to the video M, thereby enabling a user to learn, for example, the shooting technique of a professional photographer.

[0022] The server 12 is capable of distributing all or part of the uploaded data set DS in response to a distribution request from a client terminal. The information processing device 10 functions as a client terminal that can access the server 12. When the server 12 receives a distribution request from the information processing device 10 that includes a designation of a video M and a designation of a scene SM included in the video M, the server 12 distributes the operation history HO of the camera 14 that corresponds to the designated scene SM to the information processing device 10 that issued the request.

[0023] As shown as an example in FIG. 2 , the camera operation history HO is a chronological record of information such as exposure (e.g., F-stop), ISO sensitivity, focal length, and distance from the main subject. This information, such as exposure, ISO sensitivity, and focal length, is classified, for example, as shooting conditions and camera setting information. The distance from the main subject is the distance from the camera to the main subject, and is classified, for example, as shooting conditions. Furthermore, since the distance from the main subject changes as the camera position is moved, it is also classified as camerawork. The distance from the main subject is detected, for example, by a distance measurement sensor or a phase-difference AF (autofocus) pixel. Changes in focal length can also be classified as camerawork, such as zooming in or zooming out.

[0024] Camerawork is an action that changes the angle of view and composition of the captured image, and includes dolly-in / dolly-out, track, pan, tilt, and zoom-in / zoom-out. Dolly-in / dolly-out is an action that moves the camera so as to change the distance to the subject, such as by moving the camera closer to the subject or farther away from the subject. Track is an action that moves the camera position together with the subject without changing the distance to the subject. Pan is an action that changes the camera orientation horizontally, and tilt is an action that changes the camera orientation vertically. Zoom-in / zoom-out is an action that changes the angle of view by changing the focal length. Focal length is information that can be detected according to the zoom operation of the lens. Other camera movements and attitude changes can be detected, for example, by a gyro sensor. Although omitted from the operation history HO shown in FIG. 2 , such camerawork is also recorded in the operation history HO. In this way, the camera operation history HO is history information that includes at least one of the camera's shooting conditions, setting information, and camerawork, and is an example of "information related to shooting techniques" related to the technology of the present disclosure.

[0025] 3, the information processing device 10 is configured, for example, by a personal computer. The information processing device 10 includes a display unit 21, an input unit 22, a processor 23, a memory 24, a communication I / F (Interface) 25, and a storage 27. These are interconnected via a bus line 26.

[0026] The display unit 21 is a display that displays an operation screen, images, and various other information. The input unit 22 is composed of a mouse, a keyboard, and the like. When the display unit 21 is configured as a touch panel display, the touch panel display also constitutes the input unit 22. The storage 27 is a data storage device such as a flash memory. The memory 24 is a work memory for the processor 23 to execute processing, and is composed of a RAM (Random Access Memory) and the like.

[0027] The storage 27 stores control programs such as an operating system, various application programs, and various data associated with these programs. The processor 23 is, for example, a CPU (Central Processing Unit). The processor 23 loads the programs stored in the storage 27 into the memory 24 and executes processing in accordance with the programs, thereby providing overall control over each part of the computer. The application programs included in the programs are programs that cause the computer to function as the information processing device 10, and are an example of an information processing program related to the technology of the present disclosure. The processor 23 functions as the information processing device 10 by executing the application programs.

[0028] The communication I / F 25 is a network interface for communication via a communication network and performs transmission control. Communication with the server 12 is performed via the communication I / F 25.

[0029] As shown in FIG. 4 , in step ST1100, the processor 23 of the information processing device 10 accepts the user's designation of a desired video M and scene SM. The user selects a desired video M from the videos M uploaded to the server 12, and then selects a scene SM from the selected video M in which the shooting technique is of interest. When the designation of the scene SM of the selected video M is input (Y in step ST1100), the processor 23 proceeds to step ST1200. In step ST1200, the processor 23 transmits a distribution request including the designation of the specified video M and scene SM to the server 12, and acquires information about the shooting technique of the specified scene SM (hereinafter referred to as shooting technique information) distributed from the server 12. In this example, the information about the shooting technique is the camera operation history HO.

[0030] In step ST1300, the processor 23 presents the acquired camera operation history HO as the photography technique information PT, as shown in Fig. 5. Specifically, the processor 23 displays the camera operation history HO, an example of which is shown in Fig. 2, on the display unit 21.

[0031] In this way, in the information processing device 10 according to the technology of the present disclosure, the processor 23 accepts the designation of a scene SM included in the shot video M and presents the shooting technique information PT of the designated scene SM. Therefore, compared to when the scene SM cannot be designated, the user can easily check the shooting technique information PT of the desired scene SM.

[0032] In the above embodiment, the processor 23 presents, as the photography technique information PT, the operation history HO of the camera that captured the video M. Therefore, the camera operation history HO displays each item of the photography technique in chronological order, making it easy to understand the operation content and the order of the operations.

[0033] When presenting the camera operation history HO, items that do not need to be changed and items that need to be changed can be distinguished by highlighting, hatching, changing the font, etc. This allows a user learning how to operate the camera to focus on the items that need to be changed, making it easier to learn how to operate the camera.

[0034] (Written Photography Technique Information) In the above embodiment, an example was shown in which the camera operation history HO shown in Figure 2 was presented as the photography technique information PT as is, but the photography technique information PT may also be presented in written form, as shown in Figure 6.

[0035] The processor 23 uses a machine learning model as an application program to generate text. For example, a generative AI (artificial intelligence) capable of natural language processing and generating text is used as the machine learning model. The processor 23 uses the machine learning model to present textualized photography technique information PT from the camera operation history HO. The photography technique information PT shown in FIG. 6 is an example of textualization of the camera operation history HO shown in FIG. 2 , and generates a sentence such as, "The exposure and ISO sensitivity were constant throughout the entire period, and the camera zoomed in halfway through to close the distance to the main subject."

[0036] In this way, the processor 23 presents the photography technique information PT in written form, so that even users with little experience using cameras can easily understand the photography techniques.

[0037] The processor 23 also converts the photographing technique information PT into text based on the camera operation history HO. The operation history HO records operation information and the like in chronological order, making the context of the operation information clear, making it easy to convert into text.

[0038] The processor 23 also uses a machine learning model to generate text from the photography technique information PT. By using a machine learning model to present the photography technique information PT in this way, it is possible to generate text that is high-quality in terms of grammar and readability relatively easily, compared to when a rule-based program is used.

[0039] (Estimation of Shooting Technique Information) In the above embodiment, an example was shown in which the camera operation history HO shown in FIG. 2 was presented as the shooting technique information PT as is. However, as shown in FIG. 7, the shooting technique information PT may be estimated based on at least one of the video M and the camera operation history HO. In the example shown in FIG. 7, information regarding the composition of a scene SM in the video M is estimated. The processor 23 performs scene analysis, which analyzes the image content of the scene SM using a machine learning model, to estimate information regarding the composition of the scene SM. As the machine learning model, for example, a model capable of image recognition, such as a convolutional neural network (CNN), is used. Furthermore, the processor 23 presents the results of the scene analysis in text form.

[0040] The scene SM shown as an example in Figure 7 depicts a child approaching his mother, transitioning from an initial composition capturing a full view of the mother and child to a composition capturing a close-up of the child's face. The photography technique information PT is presented including information about the composition of this scene SM, in addition to the documented information about the camera's operation history HO. The documented information about the camera's operation history HO is also more specific, reflecting the results of scene analysis. In other words, compared to the example in Figure 6, information about the main subject, such as "zooming in on the child's face while leaving part of the mother's face intact," is more specific.

[0041] In addition, with regard to the shooting technique information PT, in addition to the composition of the scene SM, the processor 23 may also estimate the content of camera work such as zooming in based on the video M instead of or in addition to the camera operation history HO.

[0042] Furthermore, as shown in an example in FIG. 8 , the shooting technique information PT may include the shooting intention. The processor 23 estimates the shooting intention of the scene SM based on at least one of the video M and the camera operation history HO. A machine learning model is also used to estimate the shooting intention. For example, in the example of scene SM shown in FIG. 7 , an explanation of how the shooting technique contributes to the expressive effect is added as the shooting intention, such as "by synchronizing the child approaching his mother with the camerawork zooming in on the child's face, we aim to create an expressive effect that emphasizes the changes in the child's facial expression as his feelings of joy grow."

[0043] 9 depicts a man and a woman standing by a roadside with a mountain in the background. The processor 23 estimates information about the scene's composition, camerawork, and shooting intention based on the video M of this scene SM and the camera operation history HO, and presents the estimated shooting technique information PT.

[0044] FIG. 10 is an example of the photography technique information PT presented by the processor 23 for the scene SM shown in FIG. 9 . As shown in FIG. 10 , the information about the scene composition is such that "the sequence transitions from a close-up of the mountain peak in the background, a composition capturing a panoramic view of the mountain, a composition capturing the entire body of the man and woman against the mountain background, and a composition centered on the man and woman." The information about the camerawork and operation history HO is such that "the camera zooms out from a close-up of the mountain peak to capture a panoramic view of the mountain, then pans left to capture the man and woman against the mountain background, and then zooms in on the man and woman. The aperture is fully open." Furthermore, the photography intent is such that "the camerawork, which zooms out, pans, and zooms in sequentially, expresses the sense of distance between the man and woman and the mountain in the background, aiming to create an expressive effect that emphasizes the vacant emotions of the man and woman standing against the majestic mountain backdrop. Furthermore, by opening the aperture and softening the focus, the vacant emotions of the man and woman are further emphasized." Of course, the information about the scene composition, camera work, and shooting intentions may be interrelated, and the items may be presented together.

[0045] In this way, by presenting not only the camera operation history HO but also information such as scene composition, camera work, and shooting intention as shooting technique information PT, the user can learn about the composition, camera work, and shooting intention for a specific scene SM and the relationship between them.

[0046] (Modification) In the above embodiment, as shown in Fig. 1, an example has been described in which a video M shot by a professional cameraman and a camera operation history HO corresponding to the video M are uploaded to the server 12. However, as shown in Fig. 11, the camera operation history HO does not have to be uploaded to the server 12. Therefore, for example, the video M may be a movie or a television drama (indicated by TV in Fig. 11).

[0047] In this case, the processor 23 uses a machine learning model to estimate, from the video M, the camera operation history HO corresponding to the video M. According to the machine learning model, by performing scene analysis of the video M, it is possible to obtain, as the analysis result, information such as changes in the position and size of the subject in the scene SM, changes in the angle of view and composition, and changes in brightness. Furthermore, depending on how the machine learning model is trained, it is also possible to distinguish between different F-numbers even when the brightness is the same. The time-series changes in this information become the camera operation history HO. Furthermore, the processor 23 estimates information such as the scene composition, camerawork, and shooting intention from at least one of the video M and the camera operation history HO. This information is presented as shooting technique information PT.

[0048] In this way, the processor 23 estimates shooting technique information PT such as the camera operation history HO from the video M, so that the user can easily learn the shooting technique of a scene SM that interests them from a video M such as a movie or TV drama for which the camera operation history HO has not been uploaded.

[0049] Furthermore, the processor 23 uses a machine learning model to acquire the photography technique information PT, such as the camera operation history HO. Therefore, compared to when a machine learning model is not used, the photography technique information PT can be acquired more easily.

[0050] Furthermore, as shown in FIG. 12 , the presentation method of the photography technique information PT may be selectable. As described above, the photography technique information PT includes information such as the camera operation history HO, information about the scene composition, and the shooting intention. Selecting the presentation method involves, for example, specifying which of these pieces of information to present. For example, it may be difficult for a user with little experience using a camera to understand photography techniques from the camera operation history HO alone. On the other hand, a user with a certain level of skill may not need the shooting intention. Therefore, by allowing the user to select the presentation method, the necessary information can be selected according to the user's skills and preferences. The example shown in FIG. 12 illustrates three presentation methods: a pattern that presents only the camera operation history HO; a pattern that adds information about the scene composition to the operation history HO; and a pattern that also adds the shooting intention. Furthermore, the presentation method may also allow the user to select whether or not to document the camera operation history HO.

[0051] Furthermore, as shown in FIG. 13 , the processor 23 may present, as the photography technique information PT, additional photography technique information corresponding to portions of the scene that precede and follow it in time. For example, as shown in FIG. 13 , assume that the specified scene SM is scene 1, and there are scenes 0 and 2 that precede and follow scene 1 in time. In this case, the processor 23 uses a machine learning model to estimate not only the photography technique information for scene 1, but also the photography technique information for scenes 0 and 2 as additional photography technique information. The processor 23 then compiles and presents this as the photography technique information PT. The photography technique information PT includes information corresponding to scene 1 and information corresponding to scenes 0 and 2 that precede and follow scene 1 for each of the camera operation history HO, composition information, and shooting intention. Because scenes 0 to 2 are a chronological sequence of scenes, scenes 0 and 2 may affect the representation of scene 1.

[0052] For example, if scene 1 is relatively bright while scene 0 is relatively dark, scene 1 may be more strongly impressed by the contrast in brightness between scene 0 and scene 1. Or, with regard to composition, if scene 0 captures the subject from a bird's-eye view, but the scene immediately switches to scene 1 and transitions to a composition in which part of the subject is enlarged, scene 1 may be more strongly impressed by the contrast between the bird's-eye view composition of scene 0 and the enlarged view of scene 1. In such cases where a specified scene is closely related to the scenes before and after it, presenting the photography technique information of the specified scene and the photography technique information of the scenes before and after it as additional photography technique information may allow a deeper understanding of the meaning of the specified scene.

[0053] In FIG. 13 , the processor 23 also presents the photography technique information PT in a document format, including additional photography technique information (for example, photography technique information for scenes 0 and 2). The processor 23 also presents the photography intention estimated based on the additional photography technique information. The photography intention is the photography intention for the specified scene. In the example of FIG. 13 , the processor 23 estimates and presents the photography intention for the specified scene 1 based on the additional photography technique information corresponding to scenes 0 and 2 that precede and follow scene 1. The photography intention for scene 1 thus estimated is presented as a photography intention understood in comparison with the preceding and following scenes. This allows the user to learn photography techniques, such as the importance of the relationship between the preceding and following scenes in a series of scenes and how to effectively connect scenes.

[0054] In the above embodiment, the scene SM is a part of the designated moving image M, but since the scene SM is at least a part of the moving image M, it may be the entire moving image M.

[0055] Furthermore, a scene SM is typically designated by the user by inputting a time period, for example, by inputting the start and end times of the scene SM. Alternatively, the scene SM may be designated by the user selecting a scene extracted using a technology that automatically analyzes scene boundaries.

[0056] In addition, in the above embodiment, the information processing device 10 has been described as a personal computer, but the information processing device 10 may also be a mobile terminal such as a smartphone or a tablet terminal, or the camera 14 may function as the information processing device 10.

[0057] The above description can be used to understand the technologies described in the following supplementary items. [Supplementary Item 1] An information processing device including a processor, wherein the processor accepts specification of a scene included in a captured video, and presents information related to the shooting technique of the specified scene. [Supplementary Item 2] The information processing device described in Supplementary Item 1, wherein the processor presents the operation history of the camera that captured the video as information related to the shooting technique. [Supplementary Item 3] The information processing device described in Supplementary Item 1 or Supplementary Item 2, wherein the processor presents the information related to the shooting technique in a documented form. [Supplementary Item 4] The information processing device described in Supplementary Item 3, wherein the processor presents the information related to the shooting technique in a documented form based on at least one of the video and the operation history of the camera that captured the video. [Supplementary Item 5] The information processing device described in any one of Supplementary Items 1 to 4, wherein the processor estimates the information related to the shooting technique based on at least one of the video and the operation history of the camera that captured the video. [Supplementary Item 6] The information processing device described in Supplementary Item 5 ... [Supplementary Item 7] The information processing device according to Supplementary Item 5 or Supplementary Item 6, wherein the information about photography techniques includes camera work. [Supplementary Item 8] The information processing device according to any one of Supplementary Items 5 to 7, wherein the information about photography techniques includes the intention behind shooting the scene. [Supplementary Item 9] The information processing device according to any one of Supplementary Items 1 to 8, wherein the processor uses a machine learning model for at least one of acquiring the information about photography techniques and presenting the information about photography techniques. [Supplementary Item 10] The information processing device according to any one of Supplementary Items 1 to 9, wherein the method of presenting the information about photography techniques can be selected. [Supplementary Item 11] The information processing device according to any one of Supplementary Items 1 to 10, wherein the processor presents the information about photography techniques including information about additional photography techniques corresponding to parts of the scene that occur before and after in time. [Supplementary Item 12] The information processing device according to Supplementary Item 11, wherein the processor presents information about the photography techniques, including information about additional photography techniques, in a written form, or presents an estimated intention for the scene based on the information about the additional photography techniques.[Supplementary Item 13] An information processing method that causes a processor to execute a process of accepting designation of a scene included in a shot video, and a process of presenting information related to the shooting techniques of the designated scene. [Supplementary Item 14] An information processing program that causes a processor to execute a process of accepting designation of a scene included in a shot video, and a process of presenting information related to the shooting techniques of the designated scene.

[0058] In the above-described embodiments, the processing performed by the processing unit that executes processes such as information presentation and estimation in the information processing device is executed by an arbitrary computer. Furthermore, the arbitrary computer may execute these processes using a processor as hardware, a program as software, or a combination thereof. In such a case, the processor is configured to execute various processes in the present embodiment in cooperation with the program, and may function as each unit or means in the present embodiment. Furthermore, the order in which the processes are executed by the processor is not limited to the order described above and may be changed as appropriate.

[0059] The given computer may be a general-purpose computer, a computer for specific applications, a workstation, or any other system capable of executing each process. The processor may be configured with one or more pieces of hardware, and the type of hardware is not limited. For example, the processor may be configured with hardware such as a central processing unit (CPU), a micro processing unit (MPU), a programmable logic device such as a field programmable gate array (FPGA), a dedicated circuit for executing specific processes such as an application specific integrated circuit (ASIC), a graphics processing unit (GPU), or a neural processing unit (NPU). The type of hardware may also be a combination of different types of hardware. When multiple pieces of hardware are configured to execute one or more processes of a certain processor, the multiple pieces of hardware may be located in devices physically separated from each other, or may be located in the same device. Furthermore, in any embodiment, the order of the processes performed by the processor is not limited to the order described above and may be changed as appropriate. The hardware is configured by an electric circuit (circuitry) or the like that combines circuit elements such as semiconductor elements.

[0060] Furthermore, the program may be software, such as firmware or microcode. The program may also be, for example, a group of program modules, each function of which may be implemented by a processor configured to perform the respective function. The program may be program code and / or multiple code segments stored in one or more non-transitory computer-readable media (e.g., storage media and / or other storages). The program may be stored across multiple non-transitory computer-readable media that reside in physically separate devices. The program code or code segment may represent a procedure, a function, a subprogram, a routine, a subroutine, a module, a software package, a class, or any combination of instructions, data structures, or program statements. The program code or code segment may be connected to another code segment or a hardware circuit by sending or receiving information, data, arguments, parameters, or memory contents.

[0061] The technology of the present disclosure can also be appropriately combined with the various embodiments and / or various modified examples described above. Furthermore, the technology is not limited to the above embodiments, and various configurations can be adopted without departing from the spirit of the present disclosure. Furthermore, the technology of the present disclosure also covers, in addition to programs, storage media that non-temporarily store programs. The storage medium is, for example, a computer-readable non-temporary storage medium such as a USB (Universal Serial Bus) memory, a flexible disk, or a CD-ROM (Compact Disc Read Only Memory). The program may also be provided online via a network such as the Internet. The technology of the present disclosure also covers, in addition to programs, program products. A program product includes any type of product for providing a program. Like a program, a program product may be provided stored on a computer-readable non-temporary storage medium or provided online.

[0062] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0063] In this specification, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed by connecting them with "and / or."

[0064] The disclosure of Japanese Patent Application No. 2024-057945, filed on March 29, 2024, is incorporated herein by reference in its entirety. In addition, all documents, patent applications, and technical standards described herein are incorporated herein by reference to the same extent as if each individual document, patent application, and technical standard was specifically and individually indicated to be incorporated by reference.

Claims

1. An information processing device comprising a processor that receives a specification of a scene included in a captured video and presents information related to the shooting technique of the specified scene.

2. The information processing device according to claim 1, wherein the processor presents the operation history of the camera that captured the video as information about the photography technique.

3. The information processing device according to claim 1, wherein the processor presents the information relating to the photography technique in text form.

4. The information processing device according to claim 3, wherein the processor documents the information relating to the photography technique based on at least one of the video and the operation history of the camera that captured the video.

5. The information processing device according to claim 1, wherein the processor estimates the information relating to the photography technique based on at least one of the video and the operation history of the camera that captured the video.

6. The information processing device according to claim 5, wherein the information relating to the photographing technique includes information relating to the composition of the scene.

7. The information processing device according to claim 5, wherein the information relating to the photography technique includes camera work.

8. The information processing device according to claim 5, wherein the information relating to the photography technique includes the intention behind the photography of the scene.

9. The information processing device of claim 1, wherein the processor utilizes a machine learning model for at least one of obtaining information about the photography technique and presenting information about the photography technique.

10. The information processing device according to claim 1, wherein the method of presenting the information relating to the photography technique can be selected.

11. The information processing device according to claim 1, wherein the processor presents the information relating to the shooting technique together with information relating to additional shooting techniques corresponding to portions of the scene before and after in time.

12. The information processing device according to claim 11, wherein the processor presents information relating to the photography techniques, including information relating to the additional photography techniques, in a written form, or presents an estimated photography intention for the scene based on the information relating to the additional photography techniques.

13. An information processing method that causes a processor to perform the following processes: accepting the designation of a scene included in a captured video; and presenting information regarding the filming technique of the designated scene.

14. An information processing program that causes a processor to execute the following processes: accepting the designation of a scene included in a filmed video; and presenting information regarding the filming technique of the designated scene.

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