Intelligent data acquisition and fusion method for tourism management

Abstract

The invention discloses an intelligent data acquisition and fusion method for tourism management, and the method comprises the steps: collecting a field video through a camera disposed on each performance vehicle, transmitting the field video to a designated data receiving vehicle, and obtaining the position information of all audience vehicles through the data receiving vehicle; the video data are sent to targeted audience vehicles for processing according to geographical location information contained in the video data, the audience vehicles select and delete video clips containing own contents and audience vehicles receiving the video data in a circulating transmission manner, and residual videos are transmitted to two sides to adjacent vehicles for processing according to the video contents. According to the technical scheme, the processing performance bottleneck of a certain vehicle is avoided, meanwhile, the processing pressure of other vehicles is reduced, and it is guaranteed that transmission processing is finished as far as possible. And the audience vehicle vertically splices the performance vehicle view angle video data and the audience view angle video data to leave an immersive activity participation video for the audience, so that the participation experience of the audience is improved.

Description

Technical Field

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

[0002] With the rapid development of China's economy, people's lives have undergone earth-shaking changes, and cultural tourism activities have become increasingly popular among ordinary people. The steady growth of residents' income and the continuous increase in disposable income enable people to have more funds for leisure and entertainment consumption. The consumption structure has also been continuously upgraded, shifting from meeting basic material needs to pursuing spiritual and cultural enjoyment, and cultural tourism exactly fits this trend.

[0003] Among numerous cultural and tourism activities, immersive performance activities are very popular. Immersive performances have redefined the relationship between the audience and the performance, enabling the audience to be more immersed in the performance environment and enjoy the interactive experience. The audience is no longer a passive recipient, but can freely shuttle through the plot, interact with the actors, and experience a unique theatrical world. The application of immersive performances in the field of drama is very extensive. It can be performed not only in theaters but also in non-traditional theater spaces such as factories, garages, streets, and shopping malls after transformation. This form has greatly stimulated the innovation potential of drama performances, becoming a new performance format and promoting the development of the "experience economy".

[0004] In a common immersive performance activity, multiple vehicles (performance vehicles) on which the actors ride form an inner circle, and the performance vehicles continuously move clockwise; multiple vehicles (audience vehicles) on which the audience rides form an outer circle, and the audience vehicles also continuously move clockwise. In this performance, the actors and the audience ride on their respective vehicles, and the audience participates immersively.

[0005] In order to achieve a better immersive experience effect, cameras are installed on both the performance vehicles and the audience vehicles to selectively capture the shots of the actors and the audience, and then the captured video data is edited and relayed to the audience vehicles for the audience to watch, or the video data is made into souvenirs to be shared with the audience to achieve a better viewing experience.

[0006] However, in order to achieve a better video production effect, currently, there is a need for specialized editing and relaying personnel to relay the edited video to the audience vehicles, with poor real-time performance and high production costs due to the need for professional editing and relaying personnel. Summary of the Invention

[0007] The purpose of this application is to provide a method for intelligent data collection and fusion in tourism management, which can quickly obtain the video data collected by the performance vehicles and the audience vehicles without the participation of editing and relaying personnel, and produce the video data that each audience vehicle is concerned about.

[0008] To achieve the above object, the technical solution of the present application is as follows: A data intelligent acquisition and fusion method for tourism management, comprising: Designate a data receiving vehicle from the audience vehicles. Cameras installed on each performance vehicle collect on-site videos, insert location information according to the first cycle, and send them to the designated data receiving vehicle; The data receiving vehicle obtains the location information of all audience vehicles, extracts the first location information from the received current cycle video data according to the second cycle, filters out the first audience vehicle closest to the first location information, and sends the current cycle video data to the first audience vehicle; After receiving the video data, the first audience vehicle filters out the video segments containing its own vehicle for storage, deletes the video segments with only its own vehicle and the video segments without any vehicle from the received video data, and then sends the remaining video data to the adjacent audience vehicle. The audience vehicle that receives the remaining video data processes the video data in the same way as the first audience vehicle; The audience vehicle classifies the saved video data according to the performance vehicle. For the video data corresponding to each performance vehicle category, time sorting is performed, and then the sorted video data corresponding to all performance vehicles is spliced to obtain the video data from the perspective of the performance vehicle that the audience vehicle is interested in; The audience vehicle splices the video data from the perspective of the performance vehicle that it is interested in with the video data from the audience perspective collected by its own audience vehicle to generate immersive activity video data for the audience on this audience vehicle.

[0009] Further, the cycle duration of the second cycle is greater than the cycle duration of the first cycle.

[0010] Further, the splicing of the sorted video data corresponding to all performance vehicles is performed in chronological order. For the overlapping parts in time, each audience vehicle selects its own central video for retention.

[0011] Further, the splicing of the video data from the perspective of the performance vehicle that the audience vehicle is interested in with the video data from the audience perspective collected by its own audience vehicle is splicing up and down.

[0012] Further, the data intelligent acquisition and fusion method for tourism management further comprises: The performance vehicle calculates the relative moving speed relative to the audience vehicle, and uses the duration of moving relative to three audience vehicles as the cycle duration of the second cycle.

[0013] Further, the data intelligent acquisition and fusion method for tourism management further comprises: The performance vehicle calculates the relative moving speed with respect to the spectator vehicle. If the duration of the relative movement of three spectator vehicles changes by more than a set threshold with respect to the cycle duration of the second cycle, the cycle duration of the second cycle is updated with the current duration of the relative movement of three spectator vehicles.

[0014] Further, the sending the remaining video data to the adjacent spectator vehicle further includes: Detect whether the remaining video data contains an adjacent spectator vehicle. If not, do not send the remaining video data to the adjacent spectator vehicle.

[0015] This application proposes a method for intelligent data collection and fusion in tourism management. The data receiving vehicle sends the video data to the targeted spectator vehicle for processing according to the geographical location information contained in the video data. The spectator vehicle cyclically selects and deletes the video segments containing its own content. The spectator vehicle that receives the video data transfers the remaining video to the adjacent vehicles on both sides for processing according to the video content. The technical solution of this application avoids making a certain vehicle a processing performance bottleneck, reduces the processing pressure on other vehicles at the same time, and ensures that the transfer processing ends as much as possible. The spectator vehicle splices the video data from the perspective of the performance vehicle and the video data from the perspective of the spectator vertically, leaving the immersive participation activity video for the spectator, improving the participation experience of the spectator. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the relative movement of the immersive performance vehicle of this application.

[0017] Figure 2 It is a flowchart of a method for intelligent data collection and fusion in tourism management of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] In order to make the objectives, technical solutions and advantages of this application clearer, the following further describes this application in detail with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0019] An embodiment of this application, such as Figure 1As shown in the figure, multiple performance vehicles on which the actors ride form an inner circle, and the performance vehicles continuously move clockwise; multiple audience vehicles on which the audience rides form an outer circle, and the audience vehicles also continuously move clockwise. Both the performance vehicles and the audience vehicles are open-top and are driven by dedicated drivers. The actors perform on the performance vehicles, and the audience can watch the performance and participate in interactions on the audience vehicles. Usually, cameras are installed on both the performance vehicles and the audience vehicles to selectively capture the shots of the actors and the audience, so as to generate video data and record the live performance program and the audience interaction scene. To give the audience a better viewing experience, a large screen can be set on the audience vehicles to display the generated video data on the large screen for the audience on the vehicle to watch closely; or the video data can be made into souvenirs so that the audience in need can take the video data back as a travel souvenir for preservation.

[0020] Example 1, as Figure 2 shown, this example provides a method for intelligent data collection and fusion in tourism management, including: Step S1: Designate a data receiving vehicle from the audience vehicles. The cameras installed on each performance vehicle collect on-site videos, insert location information according to the first period, and send them to the designated data receiving vehicle.

[0021] In this example, the cameras can be deployed on the roofs of each vehicle to facilitate shooting the performances or the audience on the opposite vehicles. Each camera has an independent ID and IP address, and all cameras are registered to the management platform. Each vehicle has an independent number, which is deployed at the top of the vehicle to facilitate the identification by the cameras on the opposite side. All the audience vehicles exclusively occupy a number of an audience vehicle in sequence (for example, from A to E), and all the performance vehicles also exclusively occupy a number of a performance vehicle in sequence (for example, from 1 to 4).

[0022] The administrator selects one of the audience vehicles as the vehicle for receiving video data, which is called the "data receiving vehicle". In this example, all the vehicles know the IP addresses of other vehicles and the binding correspondence between the vehicle numbers and the IP addresses.

[0023] The cameras on each performance vehicle selectively capture the shots of the actors and the audience, and then continuously send the captured videos to the data receiving vehicle.

[0024] It should be noted that when the video captured in this embodiment is sent to the data receiving vehicle, the current position information of this camera is carried. The position information of the performance vehicle and the camera installed thereon is regarded as the same. The position information can be provided by the satellite positioning device carried by the camera itself or by the satellite positioning device on the performance vehicle. The current time point information can also be carried. Since the camera shooting always has the current time, it may not be necessary to carry the current time point information additionally. The position information changes in real time, and the position information and the time point information are periodically inserted into the video data. The period for inserting the position information is called the first period in this embodiment. The time interval of the first period is usually set relatively small. For example, it is inserted into the video data every 1 minute.

[0025] The time interval of the first period is not limited to 1 minute. For example, it can also be any time interval between 30 and 60 seconds, which does not need to be too frequent and can ensure that the inserted position information can be obtained in time subsequently.

[0026] Step S2: The data receiving vehicle obtains the position information of all the audience vehicles, extracts the first position information from the received current period video data according to the second period, filters out the first audience vehicle closest to the first position information, and sends the current period video data to the first audience vehicle.

[0027] In this embodiment, after receiving the video data, the data receiving vehicle analyzes the received current period video data according to the second period to determine which audience vehicle to forward the current period video data to.

[0028] For example, the second period is set to 15 minutes. The period duration of the second period is longer than that of the first period, which can ensure that the position information can be obtained in each second period. The settings of the durations of the first period and the second period are comprehensively considered in terms of device performance, not too frequent and not too long in interval.

[0029] Specifically, after receiving the video data, the data receiving vehicle intercepts the video data in segments of 15 minutes as the current video data and analyzes it. And it sends a "position request" message to all the audience vehicles. After obtaining the reply, the position information of each audience vehicle is obtained. The data receiving vehicle searches for the position information inserted by the performance vehicle when sending the video data from the current video data. If there are multiple position information, it selects the first position information with the earliest time, selects the audience vehicle closest to the first position information, and sends the video data to this audience vehicle.

[0030] For example, the audience vehicles A - E form an outer circle, and one of them is designated as the data receiving vehicle, which is not limited to a specific audience vehicle.

[0031] The video data collected by the performance vehicle 1 is continuously sent to the data receiving vehicle. The data receiving vehicle obtains the position information of each audience vehicle. In the current cycle, if it is found that the first position information of the performance vehicle 1 is the closest to the audience vehicle A, the video data in the current cycle is sent to the audience vehicle A.

[0032] In this embodiment, the video data is sent to the audience vehicle A that is the closest to the first position of the performance vehicle 1, so that the content of the first few minutes of the video data is mainly about the audience vehicle A, which is targeted.

[0033] Step S3: After receiving the video data, the first audience vehicle filters out the video segments containing its own vehicle for storage, and deletes the video segments with only its own vehicle and the video segments without any vehicle from the received video data, and then sends the remaining video data to the adjacent audience vehicle. The audience vehicle that receives the remaining video data processes the video data in the same way as the first audience vehicle.

[0034] In a specific embodiment, after receiving the video, the audience vehicle A selects the video segments containing its own vehicle for storage. By performing object recognition on the video data, the own vehicle can be determined according to the audience vehicle number containing its own vehicle roof in the picture, so that the video segments containing its own vehicle can be selected and then saved.

[0035] At the same time, for the received video data, the video segments with only its own vehicle content and the video segments without any vehicle content are deleted to obtain the remaining video data. These remaining video data may include other audience vehicles and are sent to other audience vehicles for processing. When sending, it is only sent to the adjacent audience vehicles.

[0036] For example, if the adjacent audience vehicles of the audience vehicle A are the audience vehicle B and the audience vehicle E, the remaining video data is sent to the audience vehicle B and E.

[0037] It should be noted that sending the remaining video data to the adjacent audience vehicles can reduce the video analysis workload of other audience vehicles.

[0038] After receiving the data, the audience vehicles B and E also select the video segments containing their own vehicle content for storage, and at the same time delete the video segments with only their own vehicle content, and send the remaining video segments to the adjacent vehicles.

[0039] Preferably, in a specific embodiment of the present application, sending the remaining video data to the adjacent audience vehicles further includes: Detecting whether the remaining video data contains adjacent audience vehicles. If not, the remaining video data is not sent to the adjacent audience vehicle.

[0040] Specifically, the video analyzed by the spectator vehicles B and E will not contain content of the spectator vehicle A, so there is no need to consider whether to send it to the spectator vehicle A.

[0041] Assume that at this time, the adjacent vehicles of the spectator vehicle B are the spectator vehicle A and the spectator vehicle C, then it is only necessary to send it to the spectator vehicle C for further processing. Similarly, the adjacent vehicles of the spectator vehicle E are the spectator vehicle A and the spectator vehicle D, then it is only necessary to send it to the spectator vehicle D for further processing.

[0042] After the spectator vehicles C and D have completed the analysis and processing, if there is no video data left, the transfer analysis process ends.

[0043] This transfer processing method in this embodiment avoids the processing performance bottleneck formed by point-to-multipoint transmission during centralized analysis and processing.

[0044] Step S4: The spectator vehicles classify the saved video data according to the performing vehicles, sort the video data corresponding to each category of performing vehicles in time sequence, and then splice the sorted video data corresponding to all performing vehicles to obtain the video data from the perspective of the performing vehicles that the spectator vehicles are interested in.

[0045] Each spectator vehicle first classifies the above-obtained video segments according to the video source (i.e., the performing vehicle number that collected the video), that is, the videos collected by each performing vehicle are classified into one category. For each category, the video segments are sorted in chronological order to obtain the video sorted in time. Since the performing vehicles move relative to the spectator vehicles, the videos collected of the same spectator vehicle are not continuous. Therefore, after the video data corresponding to each category of performing vehicles is sorted in time, the obtained video segments are separated, not continuous.

[0046] In order to obtain a continuous video, in this embodiment, the sorted video data corresponding to all performing vehicles is spliced in chronological order. Since each performing vehicle collects the video of the same spectator vehicle at different times, through the splicing of the videos collected by all performing vehicles, a continuous video can be obtained in terms of time, and the video data from the perspective of the performing vehicles that the spectator vehicles are interested in can be obtained.

[0047] It should be noted that there is a certain overlap based on the time line among the video segments formed by each category (from different performing vehicles). For the overlapping part in time, each spectator vehicle selects the video in the middle of itself for retention, so as to form a continuous active video record. The obtained video data is from the perspective of the performing vehicles, and this embodiment is called the video data from the perspective of the performing vehicles.

[0048] Step S5: The spectator vehicle splices the video data of the performance vehicle's perspective that it is interested in with the video data of the spectator's perspective collected by itself, to generate immersive event video data for the spectators on this spectator vehicle.

[0049] In this embodiment, the spectator vehicle is also equipped with a camera to simultaneously collect the on-site video from the spectator's perspective. Each spectator vehicle's shooting of the performance vehicle is obtained based on its own perspective, so no cropping process is required.

[0050] In this embodiment, the spectator vehicle splices the video data of the performance vehicle's perspective and the video data of the spectator's perspective vertically, thus forming the immersive event video data for the spectators on this spectator vehicle, which can be provided to the spectators on this spectator vehicle as a video souvenir of the spectators' participation in the performance this time. The video data obtained by the spectators covers the video from the perspective of their own spectator vehicle and the video of this spectator vehicle collected by each performance vehicle, leaving an immersive participation event video for the spectators and improving the spectators' participation experience.

[0051] Embodiment 2: On the basis of Embodiment 1, in order to reasonably define the cycle duration of the second cycle, a data intelligent acquisition and fusion method for tourism management in this embodiment further includes: The performance vehicle calculates the relative moving speed with respect to the spectator vehicle, and takes the duration of relatively moving three spectator vehicles as the cycle duration of the second cycle.

[0052] In this embodiment, for the cycle duration of the second cycle, if the time interval is too long, more video data needs to be transmitted; if the time interval is too short, the transmission is too frequent. In order to obtain a better cycle duration, the performance vehicle calculates the relative moving speed with respect to the spectator vehicle. If it takes 15 minutes to relatively move three vehicles, a "interval processing time" message is sent to the data receiving vehicle, and the latter processes the video every 15 minutes.

[0053] This embodiment selects the duration of relatively moving three spectator vehicles. The video of three spectator vehicles can be covered during this duration. In this way, after the middle vehicle processes the video data, it can send the remaining video to the other two adjacent spectator vehicles, and a better processing effect can be achieved.

[0054] Embodiment 3: On the basis of Embodiment 2, considering the real-time change of the relative moving speed, a data intelligent acquisition and fusion method for tourism management in this embodiment further includes: The performance vehicle calculates the relative moving speed with respect to the spectator vehicle. If the duration of relatively moving three spectator vehicles changes by more than a set threshold with respect to the cycle duration of the second cycle, then the cycle duration of the second cycle is updated with the current duration of relatively moving three spectator vehicles.

[0055] Specifically, if the time change for the relative movement of three spectator vehicles is plus or minus two minutes, a "spacing processing time" message is re-sent to the data receiving vehicle, which processes the video according to the cycle duration of the new second cycle.

[0056] In the present application, spectator vehicles cyclically select and delete video segments containing their own content in a cyclic manner, avoiding a certain vehicle from becoming a processing bottleneck, reducing the processing pressure on other vehicles, and ensuring that the transfer processing is completed as much as possible; the data receiving vehicle sends the video data to the targeted spectator vehicles for processing according to the geographical location information contained in the video data; the spectator vehicle that receives the video data transfers the remaining video to the adjacent vehicles on both sides for processing according to the video content. And considering the real-time change of the relative movement speed, the cycle duration of the second cycle is dynamically adjusted. The technical solution of the present application realizes immersive interactive shooting, and spectators can obtain effective video segments.

[0057] The above-described embodiments merely represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several deformations and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method for intelligent data collection and fusion of tourism management, characterized in that: The method for intelligent data collection and fusion of tourism management includes: A data receiving vehicle is designated from the audience vehicles, and the cameras installed on each performance vehicle collect live video, insert the position information according to the first cycle, and send it to the designated data receiving vehicle; The data receiving vehicle obtains the position information of all audience vehicles, extracts the first position information from the received current cycle video data according to the second cycle, screens out the first audience vehicle closest to the first position information, and sends the current cycle video data to the first audience vehicle; After receiving the video data, the first spectator vehicle selects the video segments containing its own vehicle for storage, deletes the video segments containing only its own vehicle and the video segments containing no other vehicle from the received video data, and sends the remaining video data to the adjacent spectator vehicles. The spectator vehicles receiving the remaining video data process the video data in the same way as the first spectator vehicle. The audience vehicles classify the stored video data according to the performance vehicles, sort the video data of the corresponding category of each performance vehicle by time, and then splice the sorted video data corresponding to all the performance vehicles to obtain the video data of the performance vehicle perspective that the audience vehicles are interested in; The audience vehicle splices the video data from the perspective of the performance vehicle of interest with the video data from the perspective of the audience collected by its own audience vehicle to generate immersive activity video data for the audience in the audience vehicle.

2. The method for intelligent data collection and fusion of tourism management according to claim 1 is characterized in that: The cycle duration of the second cycle is greater than the cycle duration of the first cycle.

3. The method for intelligent data collection and fusion of tourism management according to claim 1 is characterized in that: The sorted video data corresponding to all performance vehicles are spliced ​​in chronological order. For the time overlapping parts, each audience vehicle selects the video in the center of itself to retain.

4. The method for intelligent data collection and fusion of tourism management according to claim 1 is characterized in that: The audience vehicle splices the video data from the perspective of the performance vehicle of interest with the video data from the perspective of the audience collected by its own audience vehicle, which is top-bottom splicing.

5. The method for intelligent data collection and fusion of tourism management according to claim 1 is characterized in that: The method for intelligent data collection and fusion of tourism management also includes: The performance vehicle calculates a relative moving speed with respect to the audience vehicle, and takes the duration of the relative movement of the three audience vehicles as the cycle duration of the second cycle.

6. The method for intelligent data collection and fusion of tourism management according to claim 5 is characterized in that: The method for intelligent data collection and fusion of tourism management also includes: The performance vehicle calculates the relative moving speed with respect to the audience vehicle. If the duration of the relative movement of the three audience vehicles varies more than a set threshold relative to the cycle duration of the second cycle, the cycle duration of the second cycle is updated with the current duration of the relative movement of the three audience vehicles.

7. The method for intelligent data collection and fusion of tourism management according to claim 1 is characterized in that: The sending of the remaining video data to adjacent spectator vehicles also includes: It is detected whether the remaining video data contains an adjacent spectator vehicle. If not, the remaining video data is not sent to the adjacent spectator vehicle.

Images