A method for intelligent data collection and fusion in tourism management

Abstract

This invention discloses a method for intelligent data collection and fusion in tourism management. Cameras installed on each performance vehicle collect live video and send it to a designated data receiving vehicle. The data receiving vehicle obtains the location information of all audience vehicles and sends it to targeted audience vehicles for processing based on the geographical location information contained in the video data. Audience vehicles cyclically select and delete video segments containing their own content. Upon receiving the video data, the audience vehicle passes the remaining video to adjacent vehicles for processing based on the video content. This technical solution avoids any single vehicle becoming a processing bottleneck, while reducing the processing pressure on other vehicles and ensuring that the transmission and processing are completed as quickly as possible. Audience vehicles stitch together the video data from the performance vehicle's perspective and the audience's perspective, leaving a video that provides an immersive experience for the audience, thus enhancing their participation experience.

Description

Technical Field

[0001] This application belongs to the field of immersive performance video fusion technology, and in particular relates to a data intelligent collection and fusion method for tourism management. Background Technology

[0002] With the rapid development of my country's economy, people's lives have undergone tremendous changes, and cultural tourism activities are becoming increasingly popular. Steady growth in residents' income and increasing disposable income have given people more funds for leisure and entertainment. The consumption structure is also continuously upgrading, shifting from meeting basic material needs to pursuing spiritual and cultural enjoyment, and cultural tourism perfectly aligns with this trend.

[0003] Immersive performances are particularly popular among cultural and tourism activities. They redefine the audience-performer relationship, allowing viewers to become more immersed in the performance environment and enjoy an interactive experience. Audiences are no longer passive recipients but can freely move through the storyline, interact with actors, and experience a unique theatrical world. Immersive performances have a wide range of applications in the theater industry, not only in theaters but also in non-traditional theater spaces such as factories, garages, streets, and shopping malls. This format greatly stimulates the innovative potential of theatrical performances, becoming a new performance industry model and promoting the development of the "experience economy."

[0004] In a common immersive performance, multiple vehicles carrying the performers (performance vehicles) form an inner circle, moving continuously clockwise; multiple vehicles carrying the audience (audience vehicles) form an outer circle, also moving continuously clockwise. In this type of performance, both performers and audience members ride in their respective vehicles, with the audience fully immersed in the experience.

[0005] To achieve a better immersive experience, cameras were installed on both the performance vehicles and the audience vehicles to selectively capture shots of the performers and audience members. The captured video data was then edited and broadcast to the audience vehicles for viewing, or the video data was made into souvenirs to share with the audience, thus achieving a better viewing experience.

[0006] However, to achieve better video production results, specialized editing and broadcasting personnel are currently needed to broadcast the edited video to the audience's vehicles. This results in poor real-time performance and requires professional editing and broadcasting personnel, leading to higher production costs. Summary of the Invention

[0007] The purpose of this application is to provide a data intelligent collection and fusion method for tourism management that can quickly acquire video data collected from performance vehicles and audience vehicles without the involvement of editing and broadcasting personnel, and produce video data that is relevant to each audience vehicle.

[0008] To achieve the above objectives, the technical solution of this application is as follows:

[0009] A method for intelligent data collection and fusion in tourism management includes:

[0010] The designated data receiving vehicle is selected from the audience vehicles. Cameras installed on each performance vehicle collect live video, insert location information according to the first cycle, and send it to the designated data receiving vehicle.

[0011] The data receiving vehicle acquires the location information of all audience vehicles, extracts the first location information from the received current period video data according to the second cycle, filters out the first audience vehicle closest to the first location information, and sends the current period video data to the first audience vehicle.

[0012] After receiving the video data, the first audience vehicle filters out the video clips containing its own vehicle and saves them. Then, it deletes the video clips containing only its own vehicle and those containing no other vehicles from the received video data. The remaining video data is then sent to the adjacent audience vehicles. The audience vehicles that receive the remaining video data process the video data in the same way as the first audience vehicle.

[0013] Audience vehicles are categorized according to the performance vehicles. The video data of each performance vehicle category is sorted by time. Then, the sorted video data of all performance vehicles are spliced ​​together to obtain the performance vehicle perspective video data that the audience vehicles are interested in.

[0014] Audience vehicles can stitch together video data from the perspective of the performance vehicles they are interested in with video data from the audience perspective collected by their own vehicles to generate immersive activity video data specific to the audience in their vehicles.

[0015] Furthermore, the duration of the second cycle is longer than the duration of the first cycle.

[0016] Furthermore, the process of stitching together the sorted video data corresponding to all the performance vehicles is done in chronological order. For overlapping time segments, the video of each audience vehicle is selected and retained based on its central position.

[0017] Furthermore, the audience vehicle will stitch together the video data from the perspective of the performance vehicle of interest with the audience perspective video data collected by its own audience vehicle, resulting in a top-to-bottom stitching.

[0018] Furthermore, the data intelligent collection and fusion method for tourism management also includes:

[0019] The relative speed of the performance vehicles to the audience vehicles is calculated, and the duration of the relative movement of three audience vehicles is used as the duration of the second cycle.

[0020] Furthermore, the data intelligent collection and fusion method for tourism management also includes:

[0021] The performance vehicles calculate their relative speed to the audience vehicles. If the time it takes for three audience vehicles to move relative to each other changes more than the duration of the second cycle, the duration of the second cycle is updated with the current time it takes for three audience vehicles to move relative to each other.

[0022] Furthermore, the step of sending the remaining video data to adjacent viewer vehicles also includes:

[0023] The remaining video data is checked to see if there are adjacent audience vehicles. If not, the remaining video data is not sent to those adjacent audience vehicles.

[0024] This application proposes a data intelligent collection and fusion method for tourism management. Data receiving vehicles send video data to targeted audience vehicles for processing based on the geographical location information contained within the video data. Audience vehicles cyclically select and delete video segments containing their own content. Upon receiving the video data, the audience vehicles, based on the video content, pass the remaining video to adjacent vehicles for processing. This technical solution avoids any single vehicle becoming a processing performance bottleneck, while reducing the processing pressure on other vehicles and ensuring that the transmission and processing are completed as quickly as possible. Audience vehicles stitch together the video data from the performance vehicle's perspective and the audience's perspective, leaving behind an immersive video experience tailored to the audience's participation, thus enhancing the audience's engagement experience. Attached Figure Description

[0025] Figure 1 This is a schematic diagram illustrating the relative motion of the immersive performance vehicles in this application.

[0026] Figure 2 This is a flowchart of a data intelligent collection and fusion method for tourism management according to this application. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0028] One embodiment of this application, such as Figure 1As shown, multiple performance vehicles carrying actors form an inner circle, moving clockwise continuously; multiple audience vehicles form an outer circle, also moving clockwise continuously. Both performance and audience vehicles are open-top and driven by dedicated drivers. Actors perform from the performance vehicles, while audience members watch and interact from their vehicles. Cameras are typically installed on both vehicles to selectively capture footage of actors and audience members, generating video data to record the live performance and audience interactions. To provide a better viewing experience, large screens can be installed on the audience vehicles to display the generated video data for close-up viewing; alternatively, the video data can be made into souvenirs so that interested audience members can take it home as a travel memento.

[0029] Example 1, as Figure 2 As shown, this embodiment provides a method for intelligent data collection and fusion in tourism management, including:

[0030] Step S1: Designate a data receiving vehicle from the audience vehicles. Cameras installed on each performance vehicle collect live video, insert location information according to the first cycle, and send it to the designated data receiving vehicle.

[0031] In this embodiment, cameras can be deployed on the roof of each vehicle for easy filming of performances or audience members on opposite vehicles. Each camera has a unique ID and IP address, and all cameras are registered to the management platform. Each vehicle has a unique number, deployed on its roof for easy identification by oncoming cameras. All audience vehicles are assigned a unique audience vehicle number in sequence (e.g., from A to E), and all performance vehicles are assigned a unique performance vehicle number in sequence (e.g., from 1 to 4).

[0032] The administrator selects one vehicle from the audience's vehicles to receive video data; this vehicle is called the "data receiving vehicle." In this embodiment, all vehicles are aware of the IP addresses of other vehicles, as well as the binding relationship between vehicle numbers and IP addresses.

[0033] The cameras on each performance vehicle selectively capture shots of the performers and audience, and then continuously send the captured video to the data receiving vehicle.

[0034] It should be noted that when the captured video is sent to the data receiving vehicle in this embodiment, the current location information of the camera is carried. The location information of the performance vehicle and the camera installed on it are considered to be consistent. The location information can be provided by the satellite positioning device on the camera itself, or by the satellite positioning device on the performance vehicle. The current time information can also be carried. Since the camera always captures the current time, it is not necessary to carry additional current time information. The location information changes in real time, and the location information and time information are periodically inserted into the video data. The period for inserting the location information is referred to as the first period in this embodiment. The time interval of the first period is usually set to be relatively small, for example, inserted into the video data every 1 minute.

[0035] The time interval for the first cycle is not limited to 1 minute. For example, it can be any time interval between 30 and 60 seconds. It does not need to be too frequent, but it can ensure that the inserted position information can be obtained in a timely manner.

[0036] Step S2: The data receiving vehicle acquires the location information of all audience vehicles, extracts the first location information from the received current period video data according to the second cycle, filters out the first audience vehicle closest to the first location information, and sends the current period video data to the first audience vehicle.

[0037] In this embodiment, after receiving video data, the data receiving vehicle analyzes the received current period video data according to the second cycle to determine which viewer vehicle to forward the current period video data to.

[0038] For example, setting the second cycle to 15 minutes, with a duration longer than the first cycle, ensures that location information is obtained in each second cycle. The duration of both the first and second cycles should be set considering device performance; they should not be too frequent nor too spaced out.

[0039] Specifically, after receiving the video data, the data receiving vehicle extracts segments of video data every 15 minutes as the current video data and analyzes them. It then sends a "location request" message to all audience vehicles, obtaining their location information upon receiving a response. The data receiving vehicle then searches the current video data for the location information inserted by the performing vehicle when sending the video data. If multiple location information entries are found, it selects the earliest one and chooses the audience vehicle closest to that entry, sending the video data to that vehicle.

[0040] For example, the audience vehicles (AE) form the outer ring, and one of them is designated as the data receiving vehicle, without being limited to any specific audience vehicle.

[0041] The video data collected by performance vehicle 1 is continuously sent to the data receiving vehicle. The data receiving vehicle obtains the location information of each audience vehicle. If the first location information of performance vehicle 1 is found to be closest to audience vehicle A within the current period, the video data of the current period is sent to audience vehicle A.

[0042] In this embodiment, the video data is sent to the audience vehicle A that is closest to the first position of the performance vehicle 1, so that the first few minutes of the video data are mainly about the audience vehicle A, which is targeted.

[0043] Step S3: After receiving the video data, the first audience vehicle filters out the video clips containing its own vehicle and saves them. After deleting the video clips containing only its own vehicle and the video clips that do not contain any vehicles from the received video data, the remaining video data is sent to the adjacent audience vehicles. The audience vehicles that receive the remaining video data process the video data in the same way as the first audience vehicle.

[0044] In a specific embodiment, after receiving the video, audience vehicle A selects and saves the video segment containing its own vehicle. By performing target recognition on the video data, the audience vehicle can be identified based on the audience vehicle number appearing on its roof in the frame, thus allowing the selection and saving of the video segment containing its own vehicle.

[0045] Simultaneously, the received video data is processed by removing video clips containing only the vehicle's own content and those containing no vehicle content, resulting in the remaining video data. This remaining video data may include other audience vehicles and is sent to them for processing. During transmission, only adjacent audience vehicles are sent.

[0046] For example, if the neighboring audience vehicles of audience vehicle A are audience vehicle B and audience vehicle E, then the remaining video data will be sent to audience vehicles B and E.

[0047] It should be noted that sending the remaining video data to adjacent audience vehicles can reduce the workload of video analysis for other audience vehicles.

[0048] After receiving the video clips, viewers' vehicles B and E select the video clips containing content about their own vehicles and save them. At the same time, they delete the video clips containing only content about their own vehicles and send the remaining video clips to their neighboring vehicles.

[0049] Preferably, in one specific embodiment of this application, sending the remaining video data to adjacent viewer vehicles further includes:

[0050] The remaining video data is checked to see if there are adjacent audience vehicles. If not, the remaining video data is not sent to those adjacent audience vehicles.

[0051] Specifically, the video analyzed by viewers' vehicles B and E will not contain content from viewers' vehicle A, so there is no need to consider whether to send it to viewers' vehicle A.

[0052] If, at this point, the adjacent vehicles of spectator vehicle B are spectator vehicle A and spectator vehicle C, then only spectator vehicle C needs to be processed. Similarly, if the adjacent vehicles of spectator vehicle E are spectator vehicle A and spectator vehicle D, then only spectator vehicle D needs to be processed.

[0053] Once the analysis and processing of spectator vehicle C and spectator vehicle D are complete, and there is no more video data, the transmission and analysis process ends.

[0054] The transmission-based processing method described above in this embodiment avoids the processing performance bottleneck caused by point-to-multipoint transmission during centralized analysis and processing.

[0055] Step S4: The audience vehicles are classified according to the performance vehicles. The video data of each performance vehicle category is sorted by time. Then, the sorted video data of all performance vehicles are spliced ​​together to obtain the performance vehicle perspective video data of interest to the audience vehicles.

[0056] For each audience vehicle, the acquired video clips are first categorized according to their video source (i.e., the vehicle number from which the video was captured). That is, the videos captured by each performance vehicle are grouped into one category. For each category, the video clips are then sorted chronologically to obtain a video sequence ordered by time. Because the performance vehicles move relative to the audience vehicles, the video captured from the same audience vehicle is not continuous. Therefore, after sorting the video data for each category for each performance vehicle by time, the resulting video clips are separate, not continuous.

[0057] In order to obtain continuous video, this embodiment splices the sorted video data corresponding to all performance vehicles in chronological order. Since each performance vehicle collects video of the same audience vehicle at different times, by splicing the videos collected by all performance vehicles, continuous video can be obtained in time, and video data from the perspective of the performance vehicle that the audience vehicle is interested in can be obtained.

[0058] It is important to note that the video clips from different types of performance vehicles exhibit some overlap based on their timelines. For the overlapping portions, each audience vehicle selects and retains the video clip centered within itself, thus creating a continuous video record of the event. The resulting video data is obtained from the perspective of the performance vehicles; in this embodiment, it is referred to as performance vehicle perspective video data.

[0059] Step S5: The audience vehicles stitch together the video data from the perspective of the performance vehicle of interest with the audience perspective video data collected by their own audience vehicles to generate immersive activity video data for the audience in their own audience vehicles.

[0060] In this embodiment, cameras are also installed in the audience vehicles to capture live video from the audience's perspective. Each audience vehicle captures the performance vehicle from its own perspective, so no cropping is required.

[0061] In this embodiment, the audience vehicle stitches together video data from the performance vehicle's perspective and the audience's perspective to create immersive activity video data of the audience in that vehicle. This data can be provided to the audience in that vehicle as a video memento of their participation in the performance. The video data obtained by the audience includes video from their own vehicle's perspective, as well as video from each performance vehicle, creating a personalized immersive experience and enhancing the audience's participation.

[0062] Example 2, based on Example 1, further includes a data intelligent collection and fusion method for tourism management, which, in order to reasonably define the duration of the second cycle, further includes:

[0063] The relative speed of the performance vehicles to the audience vehicles is calculated, and the duration of the relative movement of three audience vehicles is used as the duration of the second cycle.

[0064] In this embodiment, the duration of the second cycle is crucial. If the time interval is too long, more video data needs to be transmitted; if the time interval is too short, the transmission will be too frequent. To obtain a better cycle duration, the performance vehicle calculates its relative speed to the audience vehicles. If it takes 15 minutes to move three vehicles relative to each other, an "interval processing time" message is sent to the data receiving vehicle, which then processes the video every 15 minutes.

[0065] In this embodiment, the time duration for the relative movement of three audience vehicles is selected. This time duration can cover the video of the three audience vehicles. In this way, after the middle vehicle processes the video data, it can send the remaining video to the other two adjacent audience vehicles, which can achieve a better processing effect.

[0066] Example 3, based on Example 2, and considering the real-time changes in relative movement speed, this example of a data intelligent collection and fusion method for tourism management further includes:

[0067] The performance vehicles calculate their relative speed to the audience vehicles. If the time it takes for three audience vehicles to move relative to each other changes more than the duration of the second cycle, the duration of the second cycle is updated with the current time it takes for three audience vehicles to move relative to each other.

[0068] Specifically, if the time difference between the relative movement of the three spectator vehicles is plus or minus 2 minutes, a new "interval processing time" message is sent to the data receiving vehicle, which then processes the video according to the new second cycle duration.

[0069] This application employs a cyclical selection and deletion system between viewer vehicles, where video clips containing the viewer's own content are selected and deleted. This avoids any single vehicle becoming a processing bottleneck, reduces the processing pressure on other vehicles, and ensures that the transmission process is completed as quickly as possible. Data receiving vehicles send the video data to targeted viewer vehicles for processing based on the geographical location information contained within the video data. Viewer vehicles receiving the video data then pass the remaining video to adjacent vehicles for processing, based on the video content. Furthermore, considering real-time changes in relative movement speed, the duration of the second cycle is dynamically adjusted. This technical solution achieves immersive interactive shooting, allowing viewers to obtain effective video clips.

[0070] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for intelligent data collection and fusion in tourism management, characterized in that, The intelligent data collection and fusion method for tourism management includes: The performance vehicles form an inner circle, and the audience vehicles form an outer circle, moving in the same direction in a circular motion. The designated data receiving vehicle is selected from the audience vehicles. Cameras installed on each performance vehicle collect live video, insert location information according to the first cycle, and send it to the designated data receiving vehicle. The data receiving vehicle acquires the location information of all audience vehicles, extracts the first location information from the received current period video data according to the second cycle, filters out the first audience vehicle closest to the first location information, and sends the current period video data to the first audience vehicle; the cycle length of the second cycle is longer than the cycle length of the first cycle; After receiving the video data, the first audience vehicle filters out the video clips containing its own vehicle and saves them. Then, it deletes the video clips containing only its own vehicle and those containing no other vehicles from the received video data. The remaining video data is then sent to the adjacent audience vehicles. The audience vehicles that receive the remaining video data process the video data in the same way as the first audience vehicle. Audience vehicles are categorized according to the performance vehicles. The video data of each performance vehicle category is sorted by time. Then, the sorted video data of all performance vehicles are spliced ​​together to obtain the performance vehicle perspective video data that the audience vehicles are interested in. Audience vehicles can stitch together video data from the perspective of the performance vehicles they are interested in with video data from the audience perspective collected by their own vehicles to generate immersive activity video data specific to the audience in their vehicles.

2. The intelligent data collection and fusion method for tourism management according to claim 1, characterized in that, The process of stitching together the sorted video data corresponding to all performance vehicles is done in chronological order. For overlapping time segments, the video of each audience vehicle is selected and retained from the center of its video.

3. The intelligent data collection and fusion method for tourism management according to claim 1, characterized in that, The audience vehicles will stitch together the video data from the perspective of the performance vehicles they are interested in with the audience perspective video data collected by their own audience vehicles, resulting in a top-to-bottom stitch.

4. The intelligent data collection and fusion method for tourism management according to claim 1, characterized in that, The intelligent data collection and fusion method for tourism management also includes: The relative speed of the performance vehicles to the audience vehicles is calculated, and the duration of the relative movement of three audience vehicles is used as the duration of the second cycle.

5. The intelligent data collection and fusion method for tourism management according to claim 4, characterized in that, The intelligent data collection and fusion method for tourism management also includes: The performance vehicles calculate their relative speed to the audience vehicles. If the time it takes for three audience vehicles to move relative to each other changes more than the duration of the second cycle, the duration of the second cycle is updated with the current time it takes for three audience vehicles to move relative to each other.

6. The intelligent data collection and fusion method for tourism management according to claim 1, characterized in that, The step of sending the remaining video data to adjacent viewer vehicles also includes: The remaining video data is checked to see if there are adjacent audience vehicles. If not, the remaining video data is not sent to those adjacent audience vehicles.

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