Video editing system

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

Description

Technical Field

[0001] The present invention relates to a video editing system. More specifically, it relates to a video editing system for editing videos of vehicle maintenance.

Background Art

[0002] Conventionally, the safety of various products has attracted the attention of consumers. When consumers select products, they have come to show interest even in what the products themselves and their raw materials are.

[0003] Therefore, providers of products provide products by describing information such as the components, origin, manufacturing date, etc. of the products and their raw materials on labels attached to the product packaging or recording them on IC tags.

[0004] However, simply attaching information described or recorded to products is prone to forgery and falsification of such information. In fact, there are cases where forgery and falsification of information have occurred, resulting in low consumer confidence and difficulty for consumers to safely select products.

[0005] Therefore, the inventor of the present invention has proposed a technique of providing food products by attaching a sample of raw material powder obtained by pulverizing the raw materials of food to the food, rather than simply attaching information described or recorded to the products, thereby realizing the visualization of food products (see Patent Document 1).

Prior Art Documents

Patent Documents

[0006]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0007] By the way, the demand for visualization is not limited to products (food), but is also required in services.

[0008] The present invention was devised in view of the above points, and an object thereof is to provide a video editing system that enables consumers to safely select vehicle maintenance (services).

Means for Solving the Problems

[0009] To achieve the above object, the video editing system of the present invention includes video recording means for recording videos of vehicle maintenance, performing an Internet search for information related to vehicle maintenance, determining extraction criteria based on the search results, and extracting a specific video that is a video portion corresponding to the extraction criteria from the videos recorded by 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] Further, the video editing system of the present invention includes video recording means for recording videos of vehicle maintenance, inputting a prompt for outputting attention information related to vehicle maintenance to a predetermined generation AI, determining extraction criteria based on the output result of the generation AI, and extracting a specific video that is a video portion corresponding to the extraction criteria from the videos recorded by the video recording means; and highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlighted video.

[0011] Furthermore, the video editing system of the present invention includes video recording means for recording videos of vehicle maintenance, replacement part information recording means for recording information on replacement parts that are parts to be replaced in the vehicle maintenance, determining extraction criteria based on the information on the replacement parts recorded by the replacement part information recording means, and extracting a specific video that is a video portion corresponding to the extraction criteria from the videos recorded by 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] In addition, the video editing system of the present invention includes a video recording means for recording a video of vehicle maintenance, a basic wage corresponding to the basic work generated when performing the vehicle maintenance, and an additional work not included in the basic work, which is an additional wage corresponding to the additional work performed in response to a request from a consumer. A wage information recording means for separately recording, a video extraction means for determining an extraction criterion based on the information of the additional wage recorded by the wage information recording means, and extracting a specific video which is a video part corresponding to the extraction criterion from the video recorded by the video recording means, and a highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video.

[0013] Here, by adopting a configuration in which the "video extraction means" extracts a specific video and the "highlight video generation means" combines the specific videos to generate a highlight video, video editing of vehicle maintenance (generation of a video in a shorter time than the working time of vehicle maintenance) is realized. And by viewing the edited video (highlight video), the "visualization" of vehicle maintenance (vehicle maintenance service) will be realized.

[0014] By the way, although the "visualization" of vehicle maintenance (vehicle maintenance service) can also be realized by viewing the videos of all the work processes of vehicle maintenance, the "video time = the working time of vehicle maintenance", and even if it is played back at double speed or the like, an enormous amount of time is required for viewing, which is not realistic. Therefore, in the present invention, a video (highlight video) that can be viewed in a short time and can realize the "visualization" of vehicle maintenance is generated.

[0015] Note that "extracting a specific video (a video part corresponding to the extraction criterion) from the video recorded by the video recording means" includes both (1) the case of cutting out a part from a long video (the video recorded by the video recording means which is the original data), and (2) the case of selecting a part from a plurality of videos (the videos recorded by the video recording means which is the original data).

[0016] Here, when "performing an Internet search for information related to vehicle maintenance and determining extraction criteria based on the search results", it becomes possible to generate a highlight video that includes video portions of items attracting attention regarding vehicle maintenance.

[0017] And generally, regarding information on "items where fraud is likely to occur" and "items that the user (the person requesting vehicle maintenance) should check", since it is empirically known that they will be found in an Internet search, it can be expected that by determining extraction criteria based on the results of the Internet search, even a highlight video can sufficiently contribute to "visualizing" vehicle maintenance.

[0018] Note that "determining extraction criteria based on the results of an Internet search" includes cases such as (1) determining extraction criteria based on the number of hits in an Internet search and (2) determining extraction criteria based on the search ranking in an Internet search.

[0019] Also, when "inputting a prompt for outputting attention information related to vehicle maintenance to a predetermined generative AI and determining extraction criteria based on the output result of the generative AI", it also becomes possible to generate a highlight video that includes video portions of items attracting attention regarding vehicle maintenance.

[0020] And since the output result of the generative AI is, in some cases, average and ordinary information mechanically generated after referring to Internet information (for example, information on "items where fraud is likely to occur" and "items that the user (the person requesting vehicle maintenance) should check"), it is possible to determine more objective extraction criteria without being biased towards specific information, and it can be expected that even a highlight video can sufficiently contribute to "visualizing" vehicle maintenance.

[0021] Furthermore, when determining the extraction criteria based on "information on replacement parts (parts replaced in vehicle maintenance)" or when determining the extraction criteria based on "information on additional wages (wages corresponding to additional work that is not included in the basic wage and is performed in response to a request from a consumer)", generally, it becomes possible to generate a highlight video that includes video portions of "items where fraud is likely to occur".

Advantages of the Invention

[0022] In the video editing system of the present invention, consumers can safely select vehicle maintenance, and it is possible to improve the reliability of vehicle maintenance services.

Brief Description of the Drawings

[0023]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Modes for Carrying Out the Invention

[0024] Hereinafter, modes for carrying out the invention (hereinafter referred to as "embodiments") will be described. Here, in the present embodiment, a case will be described as an example where a consumer (owner of a vehicle) requests a worker to perform vehicle maintenance for a mandatory vehicle inspection, and in addition to the basic "vehicle maintenance" service, the following are requested as optional services (additional work). · Engine oil replacement · Oil filter replacement · Seal replacement · Battery replacement · Replacement of air conditioner filter (A / C filter) · Replacement of wiper blade · Replacement of short parts

[0025] Note that the explanations will be given in the following order. 1. First Embodiment 2. Second Embodiment 3. Variations

[0026] <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 FIG. 1 includes a worker terminal 3 used by a worker who performs vehicle maintenance (for example, a person who provides vehicle maintenance services), a consumer terminal 4 used by a consumer who requests vehicle maintenance (for example, the owner of the vehicle to be maintained), and is configured to be able to exchange various information via the Internet 2. Here, the consumer terminal 4 is not limited to the user, but does not include the worker terminal 3.

[0027] The vehicle maintenance video editing system 1 also includes a vehicle maintenance information recording means 5, a replacement part information recording means 6, a wage information recording means 7, a highlight video recording means 8, a vehicle maintenance video extraction means 9, and a highlight video generation means 10.

[0028] Here, the vehicle maintenance information recording means 5 is configured to be able to record the "vehicle maintenance video (original data)" transmitted from the worker terminal 3. The "vehicle maintenance video" recorded in the vehicle maintenance information recording means 5 is a video that captures all the work processes of vehicle maintenance, and the video time (the time required for playback at normal speed) is the same as the work time of vehicle maintenance. For example, if the work time of vehicle maintenance is 4 hours, the length of the "vehicle maintenance video (original data)" is also 4 hours.

[0029] Here, assuming that the working time for vehicle maintenance is 4 hours, the "video of vehicle maintenance" recorded in the vehicle maintenance information recording means 5 may be: (1) all of the working time may be recorded as one video (a video with a length of 4 hours), (2) the working time may be recorded as a plurality of videos (for example, 4 videos with a length of 1 hour) divided at predetermined time intervals, or (3) the working time may be recorded as a plurality of videos (for example, 9 videos for each of the 9 working processes) divided for each working process.

[0030] In addition, the replacement part information recording means 6 records information on replacement parts (parts to be replaced) in vehicle maintenance.

[0031] In the present embodiment, as shown in FIG. 2, for "engine oil" as "management number 1", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "engine oil" 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 is recorded.

[0032] In addition, for "oil filter" as "management number 2", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "oil filter" 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 is recorded.

[0033] Furthermore, for "sealing ring" as "management number 3", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "sealing ring" 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 is recorded.

[0034] In addition, for "battery" as "management number 4", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "battery" as the name, "1" as the quantity, "40,000 yen" as the unit price, "40,000 yen" as the total parts, and "9,000 yen" as the labor cost is recorded.

[0035] Also, regarding the "A / C filter" as "Management Number 5", its quantity, unit price, total parts, and labor cost are recorded. Specifically, information such as "A / C filter" as the name, "2" as the quantity, "6,150 yen" as the unit price, "12,300 yen" as the total parts, and "7,200 yen" as the labor cost is recorded.

[0036] Also, regarding the "wiper blade" as "Management Number 6", its quantity, unit price, total parts, and labor cost are recorded. Specifically, information such as "wiper blade" as the name, "1" as the quantity, "14,300 yen" as the unit price, "14,300 yen" as the total parts, and "0 yen" as the labor cost is recorded.

[0037] Also, regarding the "short parts" as "Management Number 7", its quantity, unit price, total parts, and labor cost are recorded. Specifically, information such as "short parts" as the name, "1" as the quantity, "3,000 yen" as the unit price, "3,000 yen" as the total parts, and "0 yen" as the labor cost is recorded.

[0038] Also, the labor cost information recording means 7 records the labor cost information in vehicle maintenance. Note that the "labor cost information" recorded in the labor cost information recording means 7 corresponds to the "replacement parts information" recorded in the replacement parts information recording means 6 and is assigned a common management number.

[0039] In this embodiment, as shown in FIG. 3, regarding "vehicle maintenance" as "Management Number 0", its labor cost is recorded. Specifically, information such as "vehicle maintenance" as the name and "45,000 yen" as the labor cost is recorded.

[0040] Also, regarding "Engine Oil Change" as "Management Number 1", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "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 is recorded (the same information as Management Number 1 in Figure 2).

[0041] Furthermore, regarding "Oil Filter Change" as "Management Number 2", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "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 is recorded (the same information as Management Number 2 in Figure 2).

[0042] Also, regarding "Seal Ring Change" as "Management Number 3", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "Seal Ring Change" 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 is recorded (the same information as Management Number 3 in Figure 2).

[0043] Also, regarding "Battery Change" as "Management Number 4", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "Battery Change" 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 is recorded (the same information as Management Number 4 in Figure 2).

[0044] Also, regarding "A / C Filter Change" as "Management Number 5", its quantity, unit price, total parts cost, and labor cost are recorded. Specifically, information such as "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, and "7,200 yen" as the labor cost is recorded (the same information as management number 5 in Figure 2).

[0045] Also, regarding "Wiper blade replacement" as "management number 6", its quantity, unit price, total parts, and labor cost are recorded. Specifically, information such as "Wiper blade replacement" as the name, "1" as the quantity, "14,300 yen" as the unit price, "14,300 yen" as the total parts, and "0 yen" as the labor cost is recorded (the same information as management number 6 in Figure 2).

[0046] Also, regarding "Short parts replacement" as "management number 7", its quantity, unit price, total parts, and labor cost are recorded. Specifically, information such as "Short parts replacement" as the name, "1" as the quantity, "3,000 yen" as the unit price, "3,000 yen" as the total parts, and "0 yen" as the labor cost is recorded (the same information as management number 7 in Figure 2).

[0047] Also, the highlight video recording means 8 is configured to be able to record a highlight video generated by the "highlight video generation means 10" described later based on the "vehicle maintenance video (original data)" recorded by the vehicle maintenance information recording means 5.

[0048] Also, 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.

[0049] Here, the Internet search means 91 uses a general-purpose search engine to perform an Internet search regarding "vehicle maintenance" and assigns scores according to the search results.

[0050] For example, perform an Internet search using keywords such as "points to be noted to prevent fraud during vehicle maintenance", "points where fraud is likely to occur during vehicle maintenance", and "points to be noted for visualizing vehicle maintenance", and assign scores to the top 5 items listed as search results. Specifically, when the following are listed as search results, assign scores of 5 points for the first place, 4 points for the second place, 3 points for the third place, 2 points for the fourth place, and 1 point for the fifth place. First place (5 points): Check the braking performance Second place (4 points): Check the angle of the front tires Third place (3 points): Check the brightness of the headlights Fourth place (2 points): Measure the error of the speedometer Fifth place (1 point): Check the carbon monoxide concentration of the exhaust gas

[0051] In addition, the extraction criterion determination means 92 is configured to be able to access the replacement part information recording means 6, and assigns scores to the top 3 items among the replacement parts with a large total amount of parts. Specifically, referring to the data shown in FIG. 2, assign scores of 3 points for the first place, 2 points for the second place, and 1 point for the third place as follows. First place (3 points): Battery Second place (2 points): Engine oil Third place (1 point): Wiper blade

[0052] Furthermore, the extraction criterion determination means 92 is configured to be able to access the wage information recording means 7, and assigns scores to the top 3 items among the additional work contents with a large wage amount. Specifically, referring to the data shown in FIG. 3, assign scores of 3 points for the first place, 2 points for the second place, and 1 point for the third place as follows. First place (3 points): Battery replacement Second place (2 points): A / C filter replacement Third place (1 point): Engine oil replacement

[0053] Further, the extraction criterion determination means 92 determines the final score by comprehensively considering the "score based on Internet search results (score by the Internet search means 91)", the "score based on the total amount of parts", and the "score based on the wage amount". As an example, the scores are calculated by adding the three items as follows. 1st place (6 points): Battery replacement 2nd place (5 points): Checking the effectiveness of the brakes 3rd place (4 points): Checking the angle of the front tire 4th place (3 points): Checking the brightness of the headlights 4th place (3 points): Engine oil change 6th place (2 points): Measuring the error of the speedometer 6th place (2 points): A / C filter replacement 8th place (1 point): Exhaust gas carbon monoxide concentration inspection 8th place (1 point): Wiper blade replacement

[0054] Furthermore, the extraction criterion determination means 92 determines the "extraction criterion", which is the criterion for extracting videos from the original data, based on the calculated scores. In this embodiment, for the top 5 items, the "extraction criterion" is determined so that the time distribution conforms to the score distribution. For example, if the total score of the top 5 items is "21" and the highlight is 21 minutes in total, then "the video of 'battery replacement' in the 1st place is 6 minutes (6 / 21 of the total 21 minutes)", "the video of 'checking the effectiveness of the brakes' in the 2nd place is 5 minutes (5 / 21 of the total 21 minutes)", "the video of 'checking the angle of the front tire' in the 3rd place is 4 minutes (4 / 21 of the total 21 minutes)", and "the videos of 'checking the brightness of the headlights' and 'engine oil change' in the 4th place are 3 minutes (3 / 21 of the total 21 minutes)", and so on.

[0055] Also, the specific video extraction means 93 extracts the video part (specific video) corresponding to the extraction criterion from the "vehicle maintenance video (original data)" recorded in the vehicle maintenance information recording means 5 based on the "extraction criterion" determined by the extraction criterion determination means 92.

[0056] Specifically, as shown in Fig. 4(a), the "video of battery replacement (specific video)" is 6 minutes (the area indicated by symbol a in Fig. 4(a)), the "video of checking brake effectiveness (specific video)" is 5 minutes (the area indicated by symbol b in Fig. 4(a)), the "video of checking the angle of the front tire (specific video)" is 4 minutes (the area indicated by symbol c in Fig. 4(a)), the "video of checking the brightness of the headlight (specific video)" is 3 minutes (the area indicated by symbol d in Fig. 4(a)), and the "video of engine oil change (specific video)" is 3 minutes (the area indicated by symbol e in Fig. 4(a)), and extraction is performed in this manner.

[0057] Further, the highlight video generation means 10 combines the specific videos (all 5 specific videos in this embodiment) extracted by the specific video extraction means 93 in order from the top to generate a highlight video, and records it in the highlight video recording means 8.

[0058] Specifically, as shown in Fig. 4(b), five specific videos such as "6 minutes (the area indicated by symbol a in Fig. 4(b))", "5 minutes (the area indicated by symbol b in Fig. 4(b))", "4 minutes (the area indicated by symbol c in Fig. 4(b))", "3 minutes (the area indicated by symbol d in Fig. 4(b))", and "3 minutes (the area indicated by symbol e in Fig. 4(b))" are combined to generate a 21-minute highlight video.

[0059] [Effect] In the vehicle maintenance video editing system 1 to which the above-described present invention is applied, by a consumer accessing the highlight video recording means 8 via the consumer terminal 4, a highlight video (a video in a shorter time than the original data) can be viewed.

[0060] Also, since points are assigned according to the search results of the Internet search means 91, it can be expected that the specific videos are likely to include the work processes (videos) to be viewed in realizing the visualization of vehicle maintenance. As a result, just by viewing the highlight video (a video in a shorter time than the original data), the "visualization" of vehicle maintenance can be sufficiently realized.

[0061] Furthermore, since the extraction criterion determination means 92 assigns points according to the amount of the replacement parts, there is a high possibility that the specific video includes the replacement work process (video) of high-cost parts. Even by only viewing the highlight video (a video shorter than the original data), the "visualization" of vehicle maintenance can be sufficiently realized.

[0062] Also, since the extraction criterion determination means 92 assigns points according to the amount of the labor cost, there is a high possibility that the specific video includes the work process (video) with a large labor cost. Even by only viewing the highlight video (a video shorter than the original data), the "visualization" of vehicle maintenance can be sufficiently realized.

[0063] <2. Second Embodiment> [Configuration of the Present Invention] FIG. 5 is a schematic diagram for explaining another example of the configuration example of the vehicle maintenance video editing system to which the video editing system of the present invention is applied. In the following, the description will be mainly focused on the points different from the first embodiment, and the description of the parts common to the first embodiment will be omitted.

[0064] In the vehicle maintenance video editing system 21 shown in FIG. 5, it has a target information generation means 94 (instead of the "Internet search means 91" in the first embodiment, in the second embodiment, it has the "target information generation means 94").

[0065] Here, the target information generation means 94 is configured to be able to access the generation AI 22 provided separately from the vehicle maintenance video editing system 21.

[0066] For example, by inputting the "name of the vehicle to be maintained" and the "model of the vehicle to be maintained" as input information into the general-purpose generative AI (generation AI) 22 and obtaining the output result of the generation AI 22, "points to be noted so that no fraud occurs during vehicle maintenance", "points where fraud is likely to occur in vehicle maintenance", and "points to be noted for visualizing vehicle maintenance" are generated. Also, points are assigned to the generation results.

[0067] [Effect] In the vehicle maintenance video editing system 21 of the present invention described above, since the scoring is performed according to the generation result of the attention information generation means 94, it can be expected that a specific video is highly likely to include a work process (video) to be viewed in realizing the visualization of vehicle maintenance. As a result, even by only viewing the highlight video (a video shorter than the original data), the "visualization" of vehicle maintenance can be sufficiently realized.

[0068] <3. Modification Example> [Modification Example 1] In the above-described first embodiment, the case of performing scoring according to the "Internet search result", the "price of replacement parts", and the "price of labor for work" is taken as an example for explanation. However, it is not always necessary to perform scoring corresponding to all of the "Internet search result", the "price of replacement parts", and the "price of labor for work".

[0069] For example, (1) scoring corresponding only to the "Internet search result", (2) scoring corresponding only to the "price of replacement parts", (3) scoring corresponding only to the "price of labor for work", (4) scoring corresponding to the "Internet search result" and the "price of replacement parts", (5) scoring corresponding to the "Internet search result" and the "price of labor for work", (6) scoring corresponding to the "price of replacement parts" and the "price of labor for work" may be sufficient.

[0070] [Modification Example 2] In the above-described second embodiment, the case of performing scoring according to the "output result of the generation AI", the "price of replacement parts", and the "price of labor for work" is taken as an example for explanation. However, it is not always necessary to perform scoring corresponding to all of the "output result of the generation AI", the "price of replacement parts", and the "price of labor for work".

[0071] For example, it may be (1) scores corresponding only to the "output results of generative AI", (2) scores corresponding only to the "amount of replacement parts", (3) scores corresponding only to the "amount of labor wages", (4) scores corresponding to the "output results of generative AI" and the "amount of replacement parts", (5) scores corresponding to the "output results of generative AI" and the "amount of labor wages", (6) scores corresponding to the "amount of replacement parts" and the "amount of labor wages".

Explanation of symbols

[0072] 1 Vehicle maintenance video editing system 2 Internet 3 Operator terminal 4 Consumer terminal 5 Vehicle maintenance information recording means 6 Replacement part information recording means 7 Wage information recording means 8 Highlight video recording means 9 Vehicle maintenance video extraction means 10 Highlight video generation means 21 Vehicle maintenance video editing system 22 Generative AI

Claims

1. Video recording means for recording a video of vehicle maintenance; Video extraction means for performing an Internet search for information related to vehicle maintenance, determining extraction criteria based on the search results, and extracting a specific video that is a video portion corresponding to the extraction criteria from among the videos recorded by the video recording means; Highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video. A video editing system.

2. The video extraction means determines the extraction criteria based on the number of hits in the Internet search. The video editing system according to claim 1.

3. The video extraction means determines the extraction criteria based on the search ranking of the Internet search. The video editing system according to claim 1.

4. Video recording means for recording a video of vehicle maintenance; Video extraction means for inputting a prompt for outputting attention information related to vehicle maintenance to a predetermined generative AI, determining extraction criteria based on the output result of the generative AI, and extracting a specific video that is a video portion corresponding to the extraction criteria from among the videos recorded by the video recording means; Highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlighted video. A video editing system.

5. Replacement part information recording means for recording information on replacement parts, which are parts to be replaced, in the vehicle maintenance; The video extraction means determines the extraction criteria based also on the information on the replacement parts recorded by the replacement part information recording means. The video editing system according to claim 1 or claim 4.

6. Wage information recording means for separately recording the basic wage corresponding to the basic work performed in the vehicle maintenance and the additional wage corresponding to additional work that is not included in the basic work and is performed in response to a request from a consumer; The video extraction means determines the extraction criteria based also on the information on the additional wage recorded by the wage information recording means. The video editing system according to claim 1 or claim 4.

7. Video recording means for recording a video of vehicle maintenance; Replacement part information recording means for recording information on replacement parts, which are parts to be replaced, in the vehicle maintenance; Video extraction means for determining extraction criteria based on the information of the replacement parts recorded by the replacement part information recording means, and extracting a specific video which is a video part corresponding to the extraction criteria from the videos recorded by the video recording means; Highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video; A video editing system. **Claim 8** Video recording means for recording videos of vehicle maintenance; Wage information recording means for separately recording a basic wage corresponding to a basic operation that occurs when performing the vehicle maintenance, and a supplementary wage corresponding to an additional operation not included in the basic operation and performed in response to a request from a consumer; Video extraction means for determining extraction criteria based on the information of the supplementary wage recorded by the wage information recording means, and extracting a specific video which is a video part corresponding to the extraction criteria from the videos recorded by the video recording means; Highlight video generation means for combining the specific videos extracted by the video extraction means to generate a highlight video; A video editing system.

Images