Video editing system

The video editing system addresses the issue of falsified product information by generating highlight videos from recorded data using internet searches and AI, enhancing consumer trust through transparent product and service visualizations.

JP2025162911AActive Publication Date: 2025-10-28SUNAO NET CO LTD
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Patent Information

Application Number
JP2024066414
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-04-16
Publication Date
2025-10-28
Estimated Expiration
2044-04-16

AI Technical Summary

Technical Problem

Existing methods for providing product information, such as those described in Patent Document 1, are susceptible to falsification and do not adequately address consumer concerns about product authenticity and reliability, making it difficult for consumers to make informed choices.

Method used

A video editing system that records, extracts, and combines specific video segments based on extraction criteria derived from internet searches or AI outputs to generate highlight videos, allowing consumers to visualize product and service details effectively.

Benefits of technology

The system enhances consumer confidence by providing concise, reliable visualizations of products and services, ensuring transparency and authenticity.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a video editing system that enables a consumer to select vehicle maintenance (service) with peace of mind.SOLUTION: A video editing system includes vehicle maintenance information recording means 5, replacement part information recording means 6, and labor cost information recording means 7, and generates, on the basis of a result of Internet search, a highlight video by assigning a point corresponding to cost of a replacement part, and a labor cost.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present invention relates to a video editing system, and more particularly to a video editing system for editing various types of video. [Background technology]

[0002] Traditionally, consumers have paid attention to the safety of various products, and when choosing a product, they have become interested in the product itself and the ingredients of the product.

[0003] Therefore, product providers provide their products by listing information about the products they offer, such as the ingredients and origin of the raw materials used in the products, and the date of manufacture, on labels affixed to the product packaging or by recording it on an IC tag.

[0004] However, simply providing written or recorded information attached to products makes it easy to tamper with or falsify that information, and in fact, falsification and falsification of information has been practiced, resulting in low consumer confidence and making it difficult for consumers to select products with confidence.

[0005] Therefore, the inventor of the present invention has proposed a technology to provide food by attaching a sample of raw material powder made from powdered ingredients to the food product, rather than simply attaching written or recorded information to the product (see Patent Document 1). [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Laid-Open No. 2009-5656 Summary of the Invention [Problem to be solved by the invention]

[0007] However, the need for visualization is not limited to products (food), and it is difficult to say that the technology described in Patent Document 1 alone is sufficient for visualization of products (food).

[0008] The present invention has been devised in view of the above points, and aims to provide a video editing system that enables consumers to select products and services with peace of mind. [Means for solving the problem]

[0009] In order to achieve the above object, the video editing system of the present invention comprises video recording means for recording predetermined videos, video extraction means for performing an internet search for information relating to the content of the videos, determining extraction criteria based on the search results, and extracting specific videos that are video portions that correspond to the extraction criteria from the videos recorded in the video recording means, and highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0010] The video editing system of the present invention also includes video recording means for recording predetermined videos, video extraction means for performing an internet search for information relating to the content of the videos and extracting specific videos from the videos recorded in the video recording means based on the results of the internet search, and highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0011] Furthermore, the video editing system of the present invention comprises video recording means for recording predetermined videos, video extraction means for inputting prompts to a predetermined generation AI for outputting noteworthy information related to the content of the video, determining extraction criteria based on the output results of the generation AI, and extracting specific videos, which are video portions that correspond to the extraction criteria, from the videos recorded in the video recording means, and highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0012] The video editing system of the present invention also includes video recording means for recording predetermined videos, video extraction means for inputting a prompt to a predetermined generation AI to output noteworthy information related to the content of the video, and extracting a specific video from the videos recorded in the video recording means based on the output result of the generation AI, and highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0013] The video editing system of the present invention also includes video recording means for recording videos of a specified service, replacement part information recording means for recording information on replacement parts that are parts to be replaced in the service, video extraction means for determining extraction criteria based on the information on the replacement parts recorded in the replacement part information recording means and extracting specific videos that are video portions that correspond to the extraction criteria from the videos recorded in the video recording means, and highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0014] The video editing system of the present invention also includes video recording means for recording videos of a specified service, replacement part information recording means for recording information on replacement parts that are parts to be replaced in the service, video extraction means for extracting specific videos from the videos recorded in the video recording means based on the information on the replacement parts recorded in the replacement part information recording means, and highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0015] The video editing system of the present invention also includes video recording means for recording videos of a predetermined service, fee information recording means for recording a basic fee corresponding to basic work incurred in providing the service and an additional fee corresponding to additional work not included in the basic work and performed at the request of a consumer, video extraction means for determining extraction criteria based on the additional fee information recorded in the fee information recording means and extracting specific videos that are video portions that correspond to the extraction criteria from the videos recorded in the video recording means, and highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0016] The video editing system of the present invention also includes a video recording means for recording videos of a predetermined service, a fee information recording means for recording a basic fee corresponding to basic work incurred in providing the service and an additional fee corresponding to additional work not included in the basic work and performed at the request of a consumer, a video extraction means for extracting a specific video from the videos recorded in the video information recording means based on information about the additional fee recorded in the fee information recording means, and a highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0017] Here, by adopting a configuration in which a "video extraction means" extracts specific videos and a "highlight video generation means" combines the specific videos to generate a highlight video, editing of various videos (generation of videos shorter than the videos recorded in the video recording means) is realized. Then, by watching the edited video (highlight video), the content of the video (various products and services) can be "visualized."

[0018] By the way, while "visualization" of various services (for example, vehicle maintenance services) can be achieved by watching videos of all work processes of the service, the "video time = work time of the service (for example, work time of vehicle maintenance)", and even if it is played back at double speed, it would take a huge amount of time to watch, which is not realistic. Therefore, in the present invention, a video (highlight video) is generated that can be viewed in a short time and that allows "visualization" of various services to be realized.

[0019] Note that "extracting a specific video (for example, a video portion corresponding to extraction criteria) from the videos recorded in the video recording means" includes both (1) cutting out a portion from a long video (a video recorded in the video recording means, which is the original data), and (2) selecting a portion from multiple videos (videos recorded in the video recording means, which is the original data).

[0020] Here, if "an internet search is conducted for information regarding the content of the video and extraction criteria are determined based on the search results," a highlight video can be generated that includes video segments of items that are attracting attention regarding the content of the video.

[0021] Furthermore, it is generally known from experience that information on "items that are prone to fraud" and "items that users (consumers receiving products or services) should check" will generally be found through internet searches, so by determining extraction criteria based on the results of internet searches, it is expected that even highlight videos can contribute significantly to "visualizing" products and services.

[0022] Similarly, when "an internet search for information relating to the content of a video is conducted and a specific video is extracted from the videos recorded in the video recording means based on the results of the internet search," a highlight video can be generated that includes video portions of items that are attracting attention in relation to the content of the video.

[0023] As mentioned above, it is known from experience that information on "items that are prone to fraud" and "items that users (consumers receiving products or services) should check" will turn up in internet searches, so by extracting specific videos based on the results of internet searches, even highlight videos can be a sufficient contribution to "visualizing" products and services.

[0024] In addition, "determining extraction criteria based on the results of an internet search" and "extracting specific videos based on the results of an internet search" refer to (1) cases where extraction criteria are determined or specific videos are extracted based on the number of hits in an internet search, and (2) cases where extraction criteria are determined or specific videos are extracted based on the search ranking of an internet search.

[0025] In addition, if "a prompt for outputting noteworthy information about the content of the video is input to a specified generation AI, and the extraction criteria are determined based on the output results of the generation AI," it will be possible to generate a highlight video that includes video segments of items that are noteworthy about the content of the video.

[0026] Similarly, when "a prompt for outputting noteworthy information about the content of a video is input to a specified generation AI, and a specific video is extracted from the videos recorded in a video recording means based on the output result of the generation AI," it is possible to generate a highlight video that includes video portions of items that are noteworthy about the content of the video.

[0027] Furthermore, the output of the generation AI is average, ordinary information that is mechanically generated, in some cases by referring to Internet information (for example, information on "items that are prone to fraud" or "items that users (consumers receiving products or services) should check"), and therefore it is possible to determine more objective extraction criteria and extract specific videos more objectively without being biased towards specific information, and it is expected that even highlight videos can contribute significantly to the "visualization" of products and services.

[0028] Furthermore, when determining extraction criteria based on information about "replacement parts (parts replaced in a specified service)," when "specific videos are extracted based on information about replacement parts," when "determining extraction criteria based on information about additional fees (fees for additional work that is not included in the basic work and is performed at the request of the consumer)," or when "specific videos are extracted based on information about additional fees," it will be possible to generate highlight videos that generally include video portions of "items that are prone to fraud." [Effects of the Invention]

[0029] The video editing system of the present invention allows consumers to select products and services with peace of mind, thereby improving the reliability of products and services. [Brief explanation of the drawings]

[0030] [Figure 1] FIG. 1 is a schematic diagram illustrating an example of a configuration example of a vehicle maintenance video editing system. [Figure 2] FIG. 2 is a schematic diagram for explaining a replacement part information recording means. [Figure 3] FIG. 10 is a schematic diagram for explaining a labor cost information recording means. [Figure 4] FIG. 10 is a schematic diagram for explaining extraction and combination of specific moving images. [Figure 5] FIG. 10 is a schematic diagram for explaining another example of the configuration of the vehicle maintenance video editing system. DETAILED DESCRIPTION OF THE INVENTION

[0031] Hereinafter, a mode for carrying out the invention (hereinafter referred to as "embodiment") will be described. Here, in this embodiment, we will explain the example of a case where a consumer (vehicle owner) requests a technician to perform vehicle maintenance for a statutory vehicle inspection, and in addition to the basic ``vehicle maintenance'' service, requests the following as optional services (additional work). Engine oil change Oil filter replacement ·Sealing replacement Battery replacement Air conditioner filter (A / C filter) replacement Wire blade replacement Short part replacement

[0032] The explanation will be given in the following order. 1. First embodiment 2. Second embodiment 3. Variations

[0033] <1. First embodiment> [Configuration of the present invention] FIG. 1 is a schematic diagram for explaining an example of the configuration of a vehicle maintenance video editing system to which the video editing system of the present invention is applied. The vehicle maintenance video editing system 1 shown in Figure 1 is configured to be able to exchange various information via the Internet 2 with a worker terminal 3 used by a worker performing vehicle maintenance (e.g., a person providing vehicle maintenance services) and a consumer terminal 4 used by a consumer requesting vehicle maintenance (e.g., the owner of the vehicle to be serviced). Furthermore, the consumer terminal 4 here does not limit the subject of use, but does not include the worker terminal 3.

[0034] The vehicle maintenance video editing system 1 also includes a vehicle maintenance information recording means 5, a replacement parts information recording means 6, a labor cost information recording means 7, a highlight video recording means 8, a vehicle maintenance video extraction means 9, and a highlight video generation means 10.

[0035] Here, the vehicle maintenance information recording means 5 is configured to be able to record the “video of vehicle maintenance (original data)” transmitted from the worker terminal 3. The "vehicle maintenance video" recorded in the vehicle maintenance information recording means 5 is a video of the entire vehicle maintenance work process, and the video length (the time required when played back at normal speed) is the same as the vehicle maintenance work time. For example, if the vehicle maintenance work time is four hours, the length of the "vehicle maintenance video (original data)" will also be four hours.

[0036] Here, if the work time for vehicle maintenance is four hours, the "vehicle maintenance video" recorded in the vehicle maintenance information recording means 5 may be (1) a single video (a video four hours long) of the entire work time, (2) a multiple video divided into predetermined time intervals (for example, four videos each one hour long), or (3) a multiple video divided into work processes (for example, if there are nine work processes, nine videos for each work process).

[0037] Furthermore, the replacement part information recording means 6 records information on replacement parts (parts to be replaced) in vehicle maintenance.

[0038] In this embodiment, as shown in FIG. 2, the quantity, unit price, total parts price, and labor cost are recorded for "engine oil" under "control number 1." Specifically, the information recorded is "engine oil" as the name, "8" as the quantity, "3,100 yen" as the unit price, "24,800 yen" as the total parts price, and "6,300 yen" as the labor cost.

[0039] Additionally, for "Oil filters" under "Control Number 2," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "oil filter" as the name, "1" as the quantity, "4,600 yen" as the unit price, "4,600 yen" as the total parts price, and "2,700 yen" as the labor cost.

[0040] Furthermore, for "sealing" under "control number 3," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "sealing" as the name, "1" as the quantity, "1,650 yen" as the unit price, "1,650 yen" as the total parts cost, and "0 yen" as the labor cost.

[0041] Additionally, for "battery" under "control number 4," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "battery" as the name, "1" as the quantity, "40,000 yen" as the unit price, "40,000 yen" as the total parts cost, and "9,000 yen" as the labor cost.

[0042] Additionally, for "A / C filter" under "control number 5," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "A / C filter" as the name, "2" as the quantity, "6,150 yen" as the unit price, "12,300 yen" as the total parts cost, and "7,200 yen" as the labor cost.

[0043] Additionally, for "wiper blades" under "control number 6," the quantity, unit price, total parts cost, and labor costs are recorded. Specifically, the following information is recorded: name "wiper blade," quantity "1," unit price "14,300 yen," total parts price "14,300 yen," and labor cost "0 yen."

[0044] Additionally, for "short parts" under "control number 7," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "short parts" as the name, "1" as the quantity, "3,000 yen" as the unit price, "3,000 yen" as the total parts cost, and "0 yen" as the labor cost.

[0045] Moreover, the labor cost information recording means 7 records information on labor costs for vehicle maintenance. The "labor cost information" recorded in the labor cost information recording means 7 corresponds to the "replacement part information" recorded in the replacement part information recording means 6, and a common management number is assigned to each of them.

[0046] In this embodiment, as shown in FIG. 3, the labor cost for "vehicle maintenance" is recorded under "management number 0." Specifically, information such as the name "vehicle maintenance" and the labor cost "45,000 yen" is recorded.

[0047] Additionally, for "engine oil change" under "control number 1," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "Engine oil change" as the name, "8" as the quantity, "3,100 yen" as the unit price, "24,800 yen" as the total parts cost, and "6,300 yen" as the labor cost (this is the same information as control number 1 in Figure 2).

[0048] Furthermore, for "Control Number 2" the quantity, unit price, total parts, and labor costs for "Oil filter replacement" are recorded. Specifically, the information recorded is "oil filter change" as the name, "1" as the quantity, "4,600 yen" as the unit price, "4,600 yen" as the total parts cost, and "2,700 yen" as the labor cost (this is the same information as control number 2 in Figure 2).

[0049] Additionally, for "Sealing replacement" under "Management Number 3," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "Sealing replacement" as the name, "1" as the quantity, "1,650 yen" as the unit price, "1,650 yen" as the total parts cost, and "0 yen" as the labor cost (this is the same information as control number 3 in Figure 2).

[0050] Additionally, for "battery replacement" under "control number 4," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "battery replacement" as the name, "1" as the quantity, "40,000 yen" as the unit price, "40,000 yen" as the total parts price, and "9,000 yen" as the labor cost (this is the same information as control number 4 in Figure 2).

[0051] Additionally, for "A / C filter replacement" under "Control Number 5," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "A / C filter replacement" as the name, "2" as the quantity, "6,150 yen" as the unit price, "12,300 yen" as the total parts cost, and "7,200 yen" as the labor cost (this is the same information as control number 5 in Figure 2).

[0052] Additionally, for "wiper blade replacement" under "control number 6," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the following information is recorded: name "Wiper blade replacement," quantity "1," unit price "14,300 yen," total parts price "14,300 yen," and labor cost "0 yen" (this is the same information as control number 6 in Figure 1).

[0053] Additionally, for "replacement of short parts" under "control number 7," the quantity, unit price, total parts, and labor costs are recorded. Specifically, the information recorded is "Short parts replacement" as the name, "1" as the quantity, "3,000 yen" as the unit price, "3,000 yen" as the total parts cost, and "0 yen" as the labor cost (this is the same information as control number 7 in Figure 2).

[0054] In addition, the highlight video recording means 8 is configured to be able to record highlight videos generated by the "highlight video generating means 10" described below based on the "vehicle maintenance video (original data)" recorded in the vehicle maintenance information recording means 5.

[0055] The vehicle maintenance video extraction means 9 includes an internet search means 91 , an extraction criterion determination means 92 , and a specific video extraction means 93 .

[0056] Here, the internet search means 91 uses a general-purpose search engine to perform an internet search related to "vehicle maintenance" and assigns points according to the search results.

[0057] For example, an internet search is conducted using keywords such as "Points to look out for when maintaining vehicles to prevent fraud," "Points where fraud is likely to occur when maintaining vehicles," and "Points to pay attention to in order to visualize vehicle maintenance," and then a score is assigned to the top five items that appear in the search results. Specifically, if the following results appear in the search results, 5 points will be awarded to the first place, 4 points to the second place, 3 points to the third place, 2 points to the fourth place, and 1 point to the fifth place. 1st place (5 points): Checking the effectiveness of the brakes 2nd place (4 points): Check the angle of the front tire 3rd place (3 points): Check the brightness of the headlights 4th place (2 points): Speedometer error measurement 5th place (1 point): Carbon monoxide concentration test of exhaust gas

[0058] The extraction criteria determination means 92 is configured to be able to access the replacement part information recording means 6, and assigns points to the top three items with the highest total part prices among the replacement parts. Specifically, referring to the data shown in Figure 2, 3 points are awarded to first place, 2 points to second place, and 1 point to third place, as follows: 1st place (3 points): Battery 2nd place (2 points): Engine oil 3rd place (1 point): Wiper blade

[0059] Furthermore, the extraction criteria determination means 92 is configured to be able to access the labor cost information recording means 7, and assigns points to the top three items with the highest labor costs among the added work contents. Specifically, referring to the data shown in Figure 3, 3 points are awarded to first place, 2 points to second place, and 1 point to third place, as follows: 1st place (3 points): Battery replacement 2nd place (2 points): A / C filter replacement 3rd place (1 point): Engine oil change

[0060] In addition, the extraction criteria determination means 92 determines the final score by combining the "score allocation based on internet search results (score allocation by the internet search means 91)," "score allocation based on the total price of parts," and "score allocation based on the price of labor." As an example, the three points are added together to calculate the score as follows: 1st place (6 points): Battery replacement 2nd place (5 points): Checking the effectiveness of the brakes 3rd place (4 points): Check the angle of the front tire 4th place (3 points): Check the brightness of the headlights 4th place (3 points): Engine oil change 6th place (2 points): Speedometer error measurement 6th place (2 points): A / C filter replacement 8th place (1 point): Carbon monoxide concentration test of exhaust gas 8th place (1 point): Replacing wiper blades

[0061] Furthermore, the extraction criterion determination means 92 determines the "extraction criterion" that is the criterion for extracting moving images from the original data based on the calculated score. In this embodiment, the "extraction criteria" are determined so that the time allocation is in accordance with the point allocation for the top five items. For example, if the total score for the top five items is 21, meaning the highlights are 21 minutes long, then the first place "battery replacement video" is 6 minutes long (6 / 21 of the total 21 minutes), the second place "braking effectiveness check video" is 5 minutes long (5 / 21 of the total 21 minutes), the third place "front tire angle check video" is 4 minutes long (4 / 21 of the total 21 minutes), and the fourth place "headlight brightness check video" and "engine oil change video" are 3 minutes long (3 / 21 of the total 21 minutes).

[0062] In addition, the specific video extraction means 93 extracts video portions (specific videos) corresponding to the extraction criteria from the ``vehicle maintenance video (original data)'' recorded in the vehicle maintenance information recording means 5 based on the ``extraction criteria'' determined by the extraction criteria determination means 92.

[0063] Specifically, as shown in Figure 4(a), the following is extracted: 6 minutes of "battery replacement video (specific video)" (area indicated by symbol a in Figure 4(a)), 5 minutes of "checking braking effectiveness video (specific video)" (area indicated by symbol b in Figure 4(a)), 4 minutes of "front tire angle check video (specific video)" (area indicated by symbol c in Figure 4(a)), 3 minutes of "headlight brightness check video (specific video)" (area indicated by symbol d in Figure 4(a)), and 3 minutes of "engine oil change video (specific video)" (area indicated by symbol e in Figure 4(a)).

[0064] Further, the highlight video generating means 10 generates a highlight video by combining the specific videos (in this embodiment, a total of five specific videos) extracted by the specific video extracting means 93 in order from the top down, and records the generated highlight video in the highlight video recording means 8.

[0065] Specifically, as shown in Figure 4(b), five specific videos, namely, "6 minutes (area indicated by symbol a in Figure 4(b))," "5 minutes (area indicated by symbol b in Figure 4(b))," "4 minutes (area indicated by symbol c in Figure 4(b))," "3 minutes (area indicated by symbol d in Figure 4(b))," and "3 minutes (area indicated by symbol e in Figure 4(b))," are combined to generate a highlight video of a total of 21 minutes.

[0066] [effect] In the vehicle maintenance video editing system 1 to which the present invention is applied, consumers can access the highlight video recording means 8 via the consumer terminal 4 to view highlight videos (videos that are shorter than the original data).

[0067] Furthermore, since the scores are assigned according to the search results of the internet search means 91, it can be expected that the specific video is highly likely to contain the work processes (videos) that should be viewed in order to make vehicle maintenance visible, and as a result, simply viewing the highlight video (a video that is shorter than the original data) can be sufficient to make vehicle maintenance visible.

[0068] Furthermore, since the extraction criteria determination means 92 assigns points according to the price of the replacement parts, there is a high possibility that the specific video will include the replacement work process (video) of an expensive part, and simply watching the highlight video (a video that is shorter than the original data) can sufficiently ``visualize'' vehicle maintenance.

[0069] Furthermore, since the extraction criteria determination means 92 assigns points according to the amount of labor costs involved in the work, it is highly likely that a particular video will include a work process (video) that requires a large labor cost, and simply viewing a highlight video (a video that is shorter than the original data) can adequately "visualize" vehicle maintenance.

[0070] <2. Second embodiment> [Configuration of the present invention] FIG. 5 is a schematic diagram for explaining another example of the configuration of a vehicle maintenance video editing system to which the video editing system of the present invention is applied. In the following, the differences from the first embodiment will be mainly described, and a description of the points common to the first embodiment will be omitted.

[0071] The vehicle maintenance video editing system 21 shown in FIG. 5 has an attention information generating means 94 (instead of the "Internet search means 91" in the first embodiment, the second embodiment has an "attention information generating means 94").

[0072] Here, the attention information generating means 94 is configured to be able to access a generating AI 22 provided separately from the vehicle maintenance video editing system 21.

[0073] For example, "the name of the vehicle to be serviced" and "the model of the vehicle to be serviced" are input as input information to a general-purpose generative AI (generation AI) 22, and the output results of the generation AI 22 are obtained to generate "points to be observed to prevent fraud in vehicle maintenance," "points where fraud is likely to occur in vehicle maintenance," and "points to pay attention to in order to visualize vehicle maintenance." In addition, points are assigned to the generated results.

[0074] [effect] In the vehicle maintenance video editing system 21 of the present invention described above, points are assigned according to the results generated by the attention information generation means 94, so it can be expected that a specific video is likely to contain work processes (videos) that should be viewed in order to make vehicle maintenance visible.As a result, simply viewing a highlight video (a video that is shorter than the original data) can be enough to make vehicle maintenance visible.

[0075] <3. Modifications> [Variation 1] In the first embodiment described above, an example is given in which points are assigned based on the "Internet search results," "cost of replacement parts," and "labor costs," but it is not necessarily necessary to assign points based on all of the "Internet search results," "cost of replacement parts," and "labor costs."

[0076] For example, (1) points may be assigned based only on the "Internet search results," (2) points may be assigned based only on the "price of the replacement part," (3) points may be assigned based only on the "labor cost amount," (4) points may be assigned based on the "Internet search results" and the "price of the replacement part," (5) points may be assigned based on the "Internet search results" and the "labor cost amount," and (6) points may be assigned based on the "price of the replacement part" and the "labor cost amount."

[0077] [Variation 2] In the second embodiment described above, an example is given in which points are assigned based on the "output result of the generation AI," "cost of the replacement part," and "labor cost," but it is not necessarily necessary to assign points based on all of the "output result of the generation AI," "cost of the replacement part," and "labor cost."

[0078] For example, (1) points may be allocated based only on the "output result of the generation AI," (2) points may be allocated based only on the "cost of the replacement part," (3) points may be allocated based only on the "labor cost amount," (4) points may be allocated based on the "output result of the generation AI" and the "cost of the replacement part," (5) points may be allocated based on the "output result of the generation AI" and the "labor cost amount," and (6) points may be allocated based on the "cost of the replacement part" and the "labor cost amount."

[0079] [Variation 3] In the first and second embodiments described above, the "vehicle maintenance" service has been used as an example for explanation, but the application of the video editing system of the present invention is not limited to "vehicle maintenance" and may also be to other services (for example, various construction works, food preparation, product manufacturing, cleaning work, repair work, etc.).

[0080] Furthermore, in order to "visualize" not only the service but also the product, a highlight video related to the product may be generated. Specifically, (1) a highlight video of the manufacturing process of a product may be generated to visualize the product; (2) a highlight video of the manufacturing process of a food product (secondary product) may be generated to visualize the food product (secondary product); (3) a highlight video of the production process of raw materials for the food product (secondary product) may be generated to visualize the food product (secondary product); or (4) a highlight video of the production process of the food product (primary product) may be generated to visualize the food product (primary product). [Explanation of symbols]

[0081] 1. Vehicle maintenance video editing system 2. Internet 3. Worker terminal 4 Consumer Devices 5. Vehicle maintenance information recording means 6. Replacement parts information recording means 7. Labor cost information recording means 8. Highlight video recording method 9. Vehicle maintenance video extraction method 10. Highlight video generation method 21 Vehicle maintenance video editing system 22 Generation AI

Claims

1. a video recording means for recording a predetermined video; a video extraction means for performing an internet search for information on the content of the video, determining extraction criteria based on the search results, and extracting specific video segments corresponding to the extraction criteria from the videos recorded in the video recording means; a highlight video generating means for combining the specific videos extracted by the video extracting means to generate a highlight video; Video editing system.

2. a video recording means for recording a predetermined video; a video extracting means for searching the Internet for information on the contents of the video and extracting a specific video from the videos recorded in the video recording means based on the results of the Internet search; a highlight video generating means for combining the specific videos extracted by the video extracting means to generate a highlight video; Video editing system.

3. a video recording means for recording a predetermined video; a video extraction means for inputting a prompt for outputting attention information related to the content of the video to a predetermined generation AI, determining extraction criteria based on the output result of the generation AI, and extracting a specific video, which is a video portion corresponding to the extraction criteria, from the videos recorded in the video recording means; a highlight video generating means for combining the specific videos extracted by the video extracting means to generate a highlight video; Video editing system.

4. a video recording means for recording a predetermined video; a video extraction means for inputting a prompt to a predetermined generation AI to output attention information related to the content of the video, and extracting a specific video from the videos recorded in the video recording means based on the output result of the generation AI; a highlight video generating means for combining the specific videos extracted by the video extracting means to generate a highlight video; Video editing system.

5. The video is related to a predetermined service.

5. The video editing system according to claim 1, claim 2, claim 3 or claim 4.

6. The video is related to the manufacturing of a specified product, or the production of a specified food product, or the production of ingredients for a specified food product.

5. The video editing system according to claim 1, claim 2, claim 3 or claim 4.

7. a video recording means for recording videos of a predetermined service; a replacement part information recording means for recording information on replacement parts that are replaced in the service; a moving image extracting means for determining extraction criteria based on the information of the replacement parts recorded in the replacement part information recording means, and extracting specific moving images that are moving image portions corresponding to the extraction criteria from the moving images recorded in the moving image recording means; a highlight video generating means for combining the specific videos extracted by the video extracting means to generate a highlight video; Video editing system.

8. a video recording means for recording videos of a predetermined service; a replacement part information recording means for recording information on replacement parts that are replaced in the service; a moving image extracting means for extracting a specific moving image from the moving images recorded in the moving image recording means based on the information of the replacement part recorded in the replacement part information recording means; a highlight video generating means for combining the specific videos extracted by the video extracting means to generate a highlight video; Video editing system.

9. a video recording means for recording videos of a predetermined service; a fee information recording means for recording a basic fee corresponding to a basic operation that occurs when providing the service, and an additional fee corresponding to an additional operation that is not included in the basic operation and is performed in response to a request from a consumer; a video extraction means for determining extraction criteria based on the additional fee information recorded in the fee information recording means, and extracting specific videos that are video portions corresponding to the extraction criteria from the videos recorded in the video recording means; a highlight video generating means for combining the specific videos extracted by the video extracting means to generate a highlight video; Video editing system.

10. a video recording means for recording videos of a predetermined service; a fee information recording means for recording a basic fee corresponding to a basic operation that occurs when providing the service, and an additional fee corresponding to an additional operation that is not included in the basic operation and is performed in response to a request from a consumer; a video extracting means for extracting a specific video from the videos recorded in the video information recording means based on the additional fee information recorded in the fee information recording means; a highlight video generating means for combining the specific videos extracted by the video extracting means to generate a highlight video; Video editing system.

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