Video retrieval method and system based on electronic map

文档序号:1889373 发布日期:2021-11-26 浏览:6次 中文

阅读说明:本技术 基于电子地图的视频检索方法及系统 (Video retrieval method and system based on electronic map ) 是由 李杰梅 程进 危勇刚 王追 曾鸣 陈忠忠 龚胜男 刘胜 蒋健 曾昌 罗磊 于 2021-07-13 设计创作,主要内容包括:本发明涉及数字通信技术领域,公开一种基于电子地图的视频检索方法及系统,以提高游客获取资源的便捷性、特色景观的曝光率及游客对景区的整体满意度。包括:提取景区内各特色景观的数字特征并封装为对应的数字模型,将电子地图、LBS定位与图像检索相结合,游客可以在景区内通过即兴拍照便捷地获取特色景观全景视频解说内容。且在检索过程中,先筛选出与检索请求LBS位置之间的距离在设定阈值内的数字模型,相比对景区内所有数字模型进行近似度比对而言,节约了云端服务器的资源并提高了数据处理的实时性。进一步地,通过仅对景区内真实游客开启调用移动终端的相机进行即兴拍照检索的权限,有效节约了网络带宽并缓解了云端服务器的负荷压力。(The invention relates to the technical field of digital communication, and discloses a video retrieval method and a video retrieval system based on an electronic map, which are used for improving the convenience of tourists for acquiring resources, the exposure rate of characteristic landscapes and the overall satisfaction of the tourists on scenic spots. The method comprises the following steps: the digital characteristics of each characteristic landscape in the scenic spot are extracted and packaged into a corresponding digital model, the electronic map, LBS positioning and image retrieval are combined, and tourists can conveniently obtain the explanation content of the characteristic landscape panoramic video through impromptu shooting in the scenic spot. In the searching process, the digital models with the distance between the digital models and the LBS position of the searching request within the set threshold value are screened out firstly, and compared with the comparison of the approximation degree of all the digital models in the scenic spot, the resources of a cloud server are saved, and the real-time performance of data processing is improved. Furthermore, the permission of calling the camera of the mobile terminal to perform impromptu photographing retrieval is opened only for real tourists in the scenic spot, so that the network bandwidth is effectively saved, and the load pressure of the cloud server is relieved.)

1. A video retrieval method based on an electronic map is characterized by comprising the following steps:

each tourist downloads and installs an APP client of a single scenic spot electronic map by a mobile terminal with an LBS function;

establishing a data interaction channel between the APP client and a cloud server, wherein the cloud server extracts digital features of each feature landscape in the scenic spot in advance and packages the digital features into corresponding digital models, each digital model is packaged with LBS position information corresponding to the feature landscape reality, and a mapping relation between each digital model and corresponding feature landscape panoramic video description content is established;

the APP client side judges whether a current user is in the scenic spot or not according to LBS position information of a corresponding mobile terminal, if so, the APP client side automatically starts the permission of calling a camera of the mobile terminal to carry out impromptu photographing retrieval, then acquires images in real time according to the operation of the user, generates a first retrieval request according to the real-time acquired images and the corresponding LBS position information and sends the first retrieval request to the cloud server;

the cloud server extracts LBS position information in the first retrieval request, selects a digital model with a distance between the LBS position information and the first retrieval request from each digital model in the scenic spot within a set threshold value, judges whether an image in the first retrieval request has an area with a similarity degree exceeding the set threshold value with the selected digital model, determines the digital model with the highest similarity value as a characteristic landscape model for user retrieval if the image in the first retrieval request has the area with the similarity degree exceeding the set threshold value, and sends characteristic landscape panoramic video explanation content mapped by the digital model to the APP client side for the tourists to click and play.

2. The method of claim 1, further comprising:

the APP client side searches a target image from a map library of the mobile terminal according to the visitor instruction, judges whether the target image is an image shot under the environment of starting and recording geographic position information based on a camera, judges whether the LBS position of the selected target image is in the scenic spot if the target image is the image shot under the environment of starting and recording the geographic position information, generates a second retrieval request according to the image and the corresponding LBS position information and sends the second retrieval request to the cloud server if the target image is not in the scenic spot, and outputs a corresponding warning prompt if the target image is not in the scenic spot; if the target image does not have the LBS position information, setting a field key value for recording the LBS position information in the second retrieval request as null;

the cloud server analyzes the second retrieval request, after LBS position information in the second retrieval request is identified to be empty, whether an area with the similarity degree exceeding a set threshold value exists in an image in the second retrieval request or not is judged in a traversal mode, if yes, a digital model with the highest similarity value is judged as a characteristic landscape model retrieved by a user, and characteristic landscape panoramic video explanation content mapped by the digital model is sent to the APP client side for the visitor to click and play; or:

the cloud server extracts LBS position information in the second retrieval request, selects a digital model with a distance between the LBS position information and the second retrieval request within a set threshold value from each digital model in the scenic region, judges whether an area with a similarity degree exceeding the set threshold value exists in an image in the second retrieval request, determines the digital model with the highest similarity value as a characteristic landscape model for user retrieval if the area is judged to be an area with a similarity degree exceeding the set threshold value, and sends characteristic landscape panoramic video explanation content mapped by the digital model to the APP client side for the tourists to click and play.

3. The method of claim 2, wherein when it is determined that there is no region in the first search request or the second search request where the similarity between the image and the screened digital model exceeds a set threshold, a prompt message that the featured landscape in the target image searched by the guest is temporarily unmodeled is returned to the APP client.

4. The method of claim 3, further comprising:

and after the sum of the number of the continuous unmatched feature landscape panoramic video commentary contents and the number of corresponding alarm prompts output because the target images are not in the scenic spot exceeds a set threshold value, the APP client automatically disables the video retrieval function in the next set duration range.

5. The method of claim 1, 2, 3, or 4, further comprising:

and after the APP client judges that the current user is not in the scenic spot according to the LBS position information of the corresponding mobile terminal, the APP client automatically closes the permission of calling the camera of the mobile terminal to carry out impromptu photographing retrieval.

6. An electronic map-based video retrieval system, comprising:

each tourist downloads and installs an APP client terminal carrying a scenic spot electronic map by using a mobile terminal with an LBS function;

the cloud server is used for establishing a data interaction channel with the APP client, extracting digital features of each feature landscape in the scenic spot in advance and packaging the digital features into corresponding digital models, packaging LBS (location based service) position information corresponding to the feature landscape reality in each digital model, and establishing a mapping relation between each digital model and corresponding feature landscape panoramic video explanation content;

the APP client is further used for judging whether a current user is in the scenic spot or not according to the LBS position information of the corresponding mobile terminal, if so, automatically starting the permission of calling a camera of the mobile terminal to carry out impromptu photographing retrieval, then acquiring images in real time according to the operation of the user, generating a first retrieval request according to the real-time acquired images and the corresponding LBS position information, and sending the first retrieval request to the cloud server;

the cloud server is further configured to extract LBS location information in the first retrieval request, screen out a digital model of which the distance to the LBS location is within a set threshold from each digital model of the scenic spot, and determine whether an area in which the similarity between the image in the first retrieval request and the screened digital model exceeds the set threshold exists, if so, determine the digital model with the highest similarity value as a feature landscape model for user retrieval, and send feature landscape video comment content mapped by the digital model to the APP client for the guest to click and play.

7. The system of claim 6, wherein:

the APP client is further used for searching a target image from a map library of the mobile terminal according to the visitor instruction, judging whether the target image is an image shot in an environment of recording geographic position information based on camera starting, if so, judging whether the LBS position of the selected target image is in the scenic spot, if so, generating a second retrieval request according to the image and the corresponding LBS position information and sending the second retrieval request to the cloud server, and if not, outputting a corresponding warning prompt; if the target image does not have the LBS position information, setting a field key value for recording the LBS position information in the second retrieval request as null;

the cloud server is further used for analyzing the second retrieval request, judging whether an image in the second retrieval request has an area with the similarity exceeding a set threshold value with any one of the digital models in the scenic region in a traversal mode after identifying that LBS position information in the second retrieval request is empty, if so, judging the digital model with the highest similarity value as a characteristic landscape model retrieved by a user, and sending the characteristic landscape panoramic video comment content mapped by the digital model to the APP client for the visitor to click and play; or:

the cloud server is further configured to extract LBS location information in the second retrieval request, screen out a digital model, the distance between which and the LBS location of the second retrieval request is within a set threshold, from each digital model of the scenic spot, and determine whether an area, the proximity of which to the screened digital model exceeds the set threshold, exists in the image in the second retrieval request, if so, the digital model with the highest proximity is determined as a feature landscape model for user retrieval, and the feature landscape panoramic video comment content mapped by the digital model is sent to the APP client for the visitor to click and play.

8. The system of claim 7, wherein the cloud server is further configured to: and when judging that the images in the first retrieval request and the second retrieval request do not have an area with the similarity of the screened digital model exceeding a set threshold value, returning prompt information that the characteristic landscape in the target image searched by the tourist is not modeled temporarily to the APP client.

9. The system of claim 8, wherein the APP client is further configured to automatically disable the video retrieval function for a next set duration after a sum of a number of consecutive unmatched feature landscape panoramic video narrative content and a number of corresponding alert prompts output due to the absence of a target image in the scene exceeds a set threshold.

10. The system according to any one of claims 5 to 9, wherein the APP client is further configured to automatically close the permission to call the camera of the mobile terminal for the impulse photo retrieval after determining that the current user is not in the scenic spot according to the LBS location information of the corresponding mobile terminal.

Technical Field

The invention relates to the technical field of digital communication, in particular to a video retrieval method and a video retrieval system based on an electronic map.

Background

The electronic map is a system for map making and application, is a map generated by the control of an electronic computer, is also a screen map based on a digital cartographic technology, and is a visual real map.

With the rise of intelligent scenic spots, electronic map programs of scenic spots are developed in part of scenic spots so as to facilitate navigation, shopping and tour route planning of tourists.

Meanwhile, in some scenic spots, especially in natural landscape scenic spots, there are numerous characteristic scenic spots and corresponding viewing platforms, such as the wonderful medicine-taking elder composed of mountain outlines, such characteristic scenic spots are often developed, packaged and popularized based on graceful history statements and combined with the visual effect and imagination of tourists, and the existing voice navigation is not convenient for user identification, and the tour guide cannot meet the needs of numerous tourists, so that most of the characteristic scenic spots are overlooked by the tourists easily, and the satisfaction of the tourists is reduced, and the operation and popularization of the IP of the scenic spots are further influenced.

Disclosure of Invention

The invention aims to disclose a video retrieval method and a video retrieval system based on an electronic map, which are used for improving the convenience of tourists for acquiring resources, the exposure rate of characteristic landscapes and the overall satisfaction of the tourists on scenic spots.

In order to achieve the above object, the present invention discloses a video retrieval method based on an electronic map, comprising:

each tourist downloads and installs an APP client of a single scenic spot electronic map by a mobile terminal with an LBS function;

establishing a data interaction channel between the APP client and a cloud server, wherein the cloud server extracts digital features of each feature landscape in the scenic spot in advance and packages the digital features into corresponding digital models, each digital model is packaged with LBS position information corresponding to the feature landscape reality, and a mapping relation between each digital model and corresponding feature landscape panoramic video description content is established;

the APP client side judges whether a current user is in the scenic spot or not according to LBS position information of a corresponding mobile terminal, if so, the APP client side automatically starts the permission of calling a camera of the mobile terminal to carry out impromptu photographing retrieval, then acquires images in real time according to the operation of the user, generates a first retrieval request according to the real-time acquired images and the corresponding LBS position information and sends the first retrieval request to the cloud server;

the cloud server extracts LBS position information in the first retrieval request, selects a digital model with a distance between the LBS position information and the first retrieval request from each digital model in the scenic spot within a set threshold value, judges whether an image in the first retrieval request has an area with a similarity degree exceeding the set threshold value with the selected digital model, determines the digital model with the highest similarity value as a characteristic landscape model for user retrieval if the image in the first retrieval request has the area with the similarity degree exceeding the set threshold value, and sends characteristic landscape panoramic video explanation content mapped by the digital model to the APP client side for the tourists to click and play.

Preferably, the method of this embodiment further includes:

the APP client side searches a target image from a map library of the mobile terminal according to the visitor instruction, judges whether the target image is an image shot under the environment of starting and recording geographic position information based on a camera, judges whether the LBS position of the selected target image is in the scenic spot if the target image is the image shot under the environment of starting and recording the geographic position information, generates a second retrieval request according to the image and the corresponding LBS position information and sends the second retrieval request to the cloud server if the target image is not in the scenic spot, and outputs a corresponding warning prompt if the target image is not in the scenic spot; if the target image does not have the LBS position information, setting a field key value for recording the LBS position information in the second retrieval request as null;

the cloud server analyzes the second retrieval request, after LBS position information in the second retrieval request is identified to be empty, whether an area with the similarity degree exceeding a set threshold value exists in an image in the second retrieval request or not is judged in a traversal mode, if yes, a digital model with the highest similarity value is judged as a characteristic landscape model retrieved by a user, and characteristic landscape panoramic video explanation content mapped by the digital model is sent to the APP client side for the visitor to click and play; or:

the cloud server extracts LBS position information in the second retrieval request, selects a digital model with a distance between the LBS position information and the second retrieval request within a set threshold value from each digital model in the scenic region, judges whether an area with a similarity degree exceeding the set threshold value exists in an image in the second retrieval request, determines the digital model with the highest similarity value as a characteristic landscape model for user retrieval if the area is judged to be an area with a similarity degree exceeding the set threshold value, and sends characteristic landscape panoramic video explanation content mapped by the digital model to the APP client side for the tourists to click and play.

Preferably, when it is determined that there is no region in the first search request and the second search request where the similarity between the image and the screened digital model exceeds a set threshold, a prompt message that the featured landscape in the target image searched by the visitor is not modeled temporarily is returned to the APP client.

Preferably, the method of this embodiment further includes: and after the sum of the number of the continuous unmatched feature landscape panoramic video commentary contents and the number of corresponding alarm prompts output because the target images are not in the scenic spot exceeds a set threshold value, the APP client automatically disables the video retrieval function in the next set duration range. Further, after the APP client judges that the current user is not in the scenic spot according to the LBS position information of the corresponding mobile terminal, the APP client automatically closes the permission of calling the camera of the mobile terminal to carry out the impromptu photographing retrieval.

In order to achieve the above object, the present invention further discloses a video retrieval system based on an electronic map, comprising:

each tourist downloads and installs an APP client terminal carrying a scenic spot electronic map by using a mobile terminal with an LBS function;

the cloud server is used for establishing a data interaction channel with the APP client, extracting digital features of each feature landscape in the scenic spot in advance and packaging the digital features into corresponding digital models, packaging LBS (location based service) position information corresponding to the feature landscape reality in each digital model, and establishing a mapping relation between each digital model and corresponding feature landscape panoramic video explanation content;

the APP client is further used for judging whether a current user is in the scenic spot or not according to the LBS position information of the corresponding mobile terminal, if so, automatically starting the permission of calling a camera of the mobile terminal to carry out impromptu photographing retrieval, then acquiring images in real time according to the operation of the user, generating a first retrieval request according to the real-time acquired images and the corresponding LBS position information, and sending the first retrieval request to the cloud server;

the cloud server is further configured to extract LBS location information in the first retrieval request, screen out a digital model of which the distance to the LBS location is within a set threshold from each digital model of the scenic spot, and determine whether an area in which the similarity between the image in the first retrieval request and the screened digital model exceeds the set threshold exists, if so, determine the digital model with the highest similarity value as a feature landscape model for user retrieval, and send feature landscape video comment content mapped by the digital model to the APP client for the guest to click and play.

The invention has the following beneficial effects:

the digital features of each characteristic landscape in the scenic spot are extracted and packaged into corresponding digital models, the electronic map, LBS positioning and image retrieval are combined, and tourists can conveniently obtain the panoramic video explanation content of the characteristic landscape through improvised shooting in the scenic spot, so that the tourists can quickly check in according to the video explanation content and the actual characteristic landscape which can be observed instantly, and the exposure rate of the characteristic landscape and the integral satisfaction degree of the tourists to the scenic spot are improved. In addition, in the searching process, the digital models with the distance between the digital models and the LBS position of the searching request within the set threshold value are screened out firstly, and compared with the comparison of the approximation degree of all the digital models in the scenic spot, the resources of a cloud server are saved, and the real-time performance of data processing is improved. Furthermore, the permission of calling the camera of the mobile terminal to perform impromptu photographing retrieval is opened only for real tourists in the scenic spot, so that the network bandwidth is effectively saved, and the load pressure of the cloud server is relieved.

The present invention will be described in further detail below with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a block diagram of an electronic map-based video retrieval system according to an embodiment of the present invention.

Detailed Description

The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.

Example 1

The embodiment discloses a video retrieval system based on an electronic map, as shown in fig. 1, including: each tourist downloads and installs an APP client 10 carrying a scenic spot electronic map with a mobile terminal 100 having an LBS function. And a cloud server 20 for establishing a data interaction channel with the APP client.

In this embodiment, the cloud server is configured to pre-extract digital features of each feature landscape in the scenic spot and package the digital features into corresponding digital models, each digital model is packaged with LBS location information corresponding to the feature landscape reality, and a mapping relationship between each digital model and corresponding feature landscape panoramic video commentary content is established.

The APP client is further used for judging whether a current user is in the scenic spot according to the LBS position information of the corresponding mobile terminal, if so, the permission of calling a camera of the mobile terminal to conduct impromptu photographing retrieval is automatically opened, then images are collected in real time according to the operation of the user, and a first retrieval request is generated according to the real-time collected images and the corresponding LBS position information and sent to the cloud server. Preferably, the APP client is further configured to automatically close the permission of calling the camera of the mobile terminal to perform the impromptu photographing retrieval after determining that the current user is not in the scenic spot according to the LBS location information of the corresponding mobile terminal; therefore, the software and hardware resources of the system can be guaranteed to preferentially meet the retrieval requirements of tourists in the scenic spot.

The cloud server is further configured to extract LBS location information in the first retrieval request, screen out a digital model of which the distance to the LBS location is within a set threshold from each digital model of the scenic spot, and determine whether an area in which the similarity between the image in the first retrieval request and the screened digital model exceeds the set threshold exists, if so, determine the digital model with the highest similarity value as a feature landscape model for user retrieval, and send feature landscape video comment content mapped by the digital model to the APP client for the guest to click and play.

Preferably, the APP client of the system of this embodiment is further configured to search for a target image from a gallery of the mobile terminal according to the guest instruction, determine whether the target image is an image shot in an environment where a camera is started to record geographic location information, if so, determine whether an LBS location of the selected target image is in the scenic spot, if so, generate a second search request according to the image and corresponding LBS location information and send the second search request to the cloud server, and if the selected target image is not in the scenic spot, output a corresponding warning prompt; and if the target image does not have the LBS position information, setting a field key value for recording the LBS position information in the second retrieval request to be null.

And the cloud server is also used for analyzing the second retrieval request, judging whether an area with any digital model similarity exceeding a set threshold exists in the image in the second retrieval request in a traversal mode after identifying that LBS position information in the second retrieval request is empty, if so, judging the digital model with the highest similarity value as a characteristic landscape model retrieved by a user, and sending the characteristic landscape panoramic video comment content mapped by the digital model to the APP client for the visitor to click and play. Or:

the cloud server is further configured to extract LBS location information in the second retrieval request, screen out a digital model, the distance between which and the LBS location of the second retrieval request is within a set threshold, from each digital model of the scenic spot, and determine whether an area, the proximity of which to the screened digital model exceeds the set threshold, exists in the image in the second retrieval request, if so, the digital model with the highest proximity is determined as a feature landscape model for user retrieval, and the feature landscape panoramic video comment content mapped by the digital model is sent to the APP client for the visitor to click and play.

Preferably, the cloud server of this embodiment is further configured to: and when judging that the images in the first retrieval request and the second retrieval request do not have an area with the similarity of the screened digital model exceeding a set threshold value, returning prompt information that the characteristic landscape in the target image searched by the tourist is not modeled temporarily to the APP client.

Further, the APP client in this embodiment is further configured to: and after the sum of the number of the continuous unmatched feature landscape panoramic video commentary contents and the number of corresponding alarm prompts output because the target images are not in the scenic region exceeds a set threshold, automatically disabling the video retrieval function in the next set duration range. Therefore, long-term encroachment of system data processing resources by user prank can be effectively avoided.

Example 2

The embodiment discloses a video retrieval method based on an electronic map, which comprises the following steps:

and step S1, each tourist downloads and installs APP client sides of the single scenic spot electronic map from the mobile terminal with the LBS function.

And S2, establishing a data interaction channel between the APP client and a cloud server, wherein the cloud server extracts digital features of each feature landscape in the scenic spot in advance and packages the digital features into corresponding digital models, each digital model is packaged with LBS position information corresponding to the feature landscape reality, and a mapping relation between each digital model and corresponding feature landscape panoramic video description content is established.

And step S3, the APP client side judges whether the current user is in the scenic spot according to the LBS position information of the corresponding mobile terminal, if so, the APP client side automatically starts the authority of calling the camera of the mobile terminal to carry out impromptu photographing retrieval, then the APP client side acquires images in real time according to the operation of the user, generates a first retrieval request according to the real-time acquired images and the corresponding LBS position information and sends the first retrieval request to the cloud server.

Step S4, the cloud server extracts LBS location information in the first search request, selects a digital model whose distance from the LBS location of the first search request from each digital model in the scenic spot is within a set threshold, and determines whether an image in the first search request has an area whose similarity to the selected digital model exceeds the set threshold, if so, determines the digital model with the highest similarity as a feature landscape model searched by the user, and sends feature landscape panoramic video comment content mapped by the digital model to the APP client for the guest to click and play.

Preferably, the method of this embodiment further includes:

the APP client side searches a target image from a map library of the mobile terminal according to the visitor instruction, judges whether the target image is an image shot under the environment of starting and recording geographic position information based on a camera, judges whether the LBS position of the selected target image is in the scenic spot if the target image is the image shot under the environment of starting and recording the geographic position information, generates a second retrieval request according to the image and the corresponding LBS position information and sends the second retrieval request to the cloud server if the target image is not in the scenic spot, and outputs a corresponding warning prompt if the target image is not in the scenic spot; and if the target image does not have the LBS position information, setting a field key value for recording the LBS position information in the second retrieval request to be null.

Correspondingly, the cloud server analyzes the second retrieval request, after LBS position information in the second retrieval request is identified to be null, whether an area with any digital model approximation degree exceeding a set threshold value exists in the image in the second retrieval request or not is judged in a traversing mode, if yes, the digital model with the highest approximation degree value is judged as a characteristic landscape model retrieved by a user, and characteristic landscape panoramic video explanation content mapped by the digital model is sent to the APP client side for the visitor to click and play.

Or: the cloud server extracts LBS position information in the second retrieval request, selects a digital model with a distance between the LBS position information and the second retrieval request within a set threshold value from each digital model in the scenic region, judges whether an area with a similarity degree exceeding the set threshold value exists in an image in the second retrieval request, determines the digital model with the highest similarity value as a characteristic landscape model for user retrieval if the area is judged to be an area with a similarity degree exceeding the set threshold value, and sends characteristic landscape panoramic video explanation content mapped by the digital model to the APP client side for the tourists to click and play.

In this embodiment, optionally, when it is determined that there is no area in the first search request and the second search request where the similarity between the image and the screened digital model exceeds a set threshold, a prompt message that the featured landscape is not modeled temporarily in the target image searched by the guest is returned to the APP client.

Preferably, the method of this embodiment further includes:

and step S5, after the sum of the number of the continuous unmatched feature landscape panoramic video commentary contents and the number of corresponding alarm prompts output because the target images are not in the scenic spot exceeds a set threshold, automatically disabling the video retrieval function in the next set duration range.

Similarly, the APP client in this embodiment can automatically close the permission of calling the camera of the mobile terminal to perform the impromptu photographing retrieval after judging that the current user is not in the scenic spot according to the LBS location information of the corresponding mobile terminal.

In summary, the video retrieval method and system based on the electronic map respectively disclosed by the above embodiments of the present invention at least have the following beneficial effects:

the digital features of each characteristic landscape in the scenic spot are extracted and packaged into corresponding digital models, the electronic map, LBS positioning and image retrieval are combined, and tourists can conveniently obtain the panoramic video explanation content of the characteristic landscape through improvised shooting in the scenic spot, so that the tourists can quickly check in according to the video explanation content and the actual characteristic landscape which can be observed instantly, and the exposure rate of the characteristic landscape and the integral satisfaction degree of the tourists to the scenic spot are improved. In addition, in the searching process, the digital models with the distance between the digital models and the LBS position of the searching request within the set threshold value are screened out firstly, and compared with the comparison of the approximation degree of all the digital models in the scenic spot, the resources of a cloud server are saved, and the real-time performance of data processing is improved. Furthermore, the permission of calling the camera of the mobile terminal to perform impromptu photographing retrieval is opened only for real tourists in the scenic spot, so that the network bandwidth is effectively saved, and the load pressure of the cloud server is relieved.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

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