CN112312156A - Live broadcast scene reminding method, device, equipment and storage medium - Google Patents
Live broadcast scene reminding method, device, equipment and storage medium Download PDFInfo
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Abstract
The application provides a live broadcast scene reminding method, a live broadcast scene reminding device, live broadcast scene reminding equipment and a storage medium, and relates to the technical field of image processing. The method comprises the following steps: acquiring a live broadcast video of at least one scene in a target place; intercepting a target image in a live video of the scene; performing image recognition on the target image, and determining whether the target image contains a target object, wherein the target object is an object which is interested by a user; and if the target object is determined to be contained in the target image, outputting reminding information, wherein the reminding information is used for reminding the user that the live video contains the object which is interested by the user. By applying the embodiment of the application, the time of the user can be saved, and the experience degree of the user can be improved.
Description
Technical Field
The application relates to the technical field of image processing, in particular to a live broadcast scene reminding method, a live broadcast scene reminding device, live broadcast scene reminding equipment and a storage medium.
Background
With the development of network technology, the video live broadcast platform is widely applied to the tourism industry, and can display scenic spot scenes in real time in a live broadcast mode, for example, can display landscape states such as sunrise, sunset, cloud and the like, and can also display activity conditions of various animals.
At present, scenic spot scenes are acquired by using image acquisition equipment, and are displayed in real time through a video live broadcast platform. The user can log in the live video platform to watch the scene of the target scenic spot, so that the user can avoid missing the expected scene.
However, since the user cannot know when the desired scene is displayed on the live video platform, the user needs to be attended before the terminal installed with the live video platform, which not only wastes the time of the user, but also causes poor experience of the user.
Disclosure of Invention
An object of the present application is to provide a live scene reminding method, apparatus, device and storage medium, which can save time of a user and improve user experience, in view of the above disadvantages in the prior art.
In order to achieve the above purpose, the technical solutions adopted in the embodiments of the present application are as follows:
in a first aspect, an embodiment of the present application provides a live view reminding method, where the method includes:
acquiring a live broadcast video of at least one scene in a target place;
intercepting a target image in a live video of the scene;
performing image recognition on the target image, and determining whether the target image contains a target object, wherein the target object is an object which is interested by a user;
and if the target image is determined to contain the target object, outputting reminding information, wherein the reminding information is used for reminding the user that the live video contains the object which is interested by the user.
Optionally, the method further comprises:
if the target image is determined to contain the target object, storing a target video for a preset time length, wherein the target video is the video containing the target object in the live video.
Optionally, the performing image recognition on the target image to determine whether the target image includes a target object includes:
carrying out image contour recognition on the target image to obtain a main object in the target image;
and respectively carrying out contour matching on the main object and a plurality of preset optional objects, and determining whether the target image contains the target object.
Optionally, the performing image recognition on the target image to determine whether the target image includes a target object includes:
inputting the target image into a scene recognition model, and acquiring the scene type of the target image;
and determining whether the target image contains a target object or not according to the scene type.
Optionally, before performing image recognition on the target image and determining whether the target image includes a target object, the method further includes:
and determining the target object interested by the user according to the historical behavior data of the user.
Optionally, before performing image recognition on the target image and determining whether the target image includes a target object, the method further includes:
receiving reservation information input by the user, wherein the reservation information is used for indicating an object in which the user is interested;
and determining a target object which is interested by the user according to the reservation information.
Optionally, the outputting the alert information includes:
and sending the reminding information to target terminal equipment, wherein the target terminal equipment is the terminal equipment held by the user.
In a second aspect, an embodiment of the present application further provides a live view reminding device, where the device includes:
the acquisition module is used for acquiring a live broadcast video of at least one scene in a target place;
the intercepting module is used for intercepting a target image in a live video of the scene;
the determining module is used for carrying out image recognition on the target image and determining whether the target image contains a target object, wherein the target object is an object which is interested by a user;
and the output module is used for outputting reminding information if the target image contains the target object, wherein the reminding information is used for reminding the user that the live video contains the object which is interested by the user.
Optionally, the apparatus further comprises:
and the storage module is used for storing a target video for a preset time length if the target image is determined to contain the target object, wherein the target video is the video containing the target object in the live video.
Optionally, the determining module is specifically configured to perform image contour recognition on the target image to obtain a main object in the target image; and respectively carrying out contour matching on the main object and a plurality of preset optional objects, and determining whether the target image contains the target object.
Optionally, the determining module is further specifically configured to input the target image into a scene recognition model, and obtain a scene category of the target image; and determining whether the target image contains a target object or not according to the scene type.
Optionally, the determining module is further configured to determine, according to the historical behavior data of the user, a target object that is interested by the user.
Optionally, the determining module is further configured to receive reservation information input by the user, where the reservation information is used to indicate an object of interest to the user; and determining a target object which is interested by the user according to the reservation information.
Optionally, the output module is specifically configured to send the reminding information to a target terminal device, where the target terminal device is a terminal device held by the user.
In a third aspect, an embodiment of the present application provides an electronic device, including: the live scene reminding method comprises a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device runs, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to execute the steps of the live scene reminding method of the first aspect.
In a fourth aspect, an embodiment of the present application provides a storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the live scene reminding method of the first aspect are performed.
The beneficial effect of this application is:
the embodiment of the application provides a live broadcast scene reminding method, a live broadcast scene reminding device, live broadcast scene reminding equipment and a storage medium, wherein the method comprises the following steps: acquiring a live broadcast video of at least one scene in a target place; intercepting a target image in a live video of the scene; performing image recognition on the target image, and determining whether the target image contains a target object, wherein the target object is an object which is interested by a user; and if the target object is determined to be contained in the target image, outputting reminding information, wherein the reminding information is used for reminding the user that the live video contains the object which is interested by the user. By adopting the live broadcast scene reminding method provided by the embodiment of the application, the target image in the live broadcast video is matched with the target object expected by the user, when the matching is successful, the reminding information can be directly sent to the terminal held by the user, the phenomenon that the user needs to keep in front of the terminal provided with the video live broadcast platform all the time in the prior art is avoided, the time of the user can be saved, and the experience degree of the user can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart of a live broadcast scene reminding method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another live view reminding method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of another live view reminding method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another live broadcast scene reminding method according to an embodiment of the present application;
fig. 5 is a schematic flowchart of another live view reminding method according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a live view reminding device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic flow chart of a live view reminding method according to an embodiment of the present application. The execution subject of the method may be, for example, a server of a video live platform. As shown in fig. 1, the method may include:
s101, acquiring a live video of at least one scene in a target place.
The user can select a target place (such as a target scenic spot) to which a desired scene belongs through application software (such as client software of a video live broadcast platform) installed on the terminal, and can also select the target place to which the desired scene belongs on a webpage capable of carrying out video live broadcast, wherein the terminal can be a mobile phone, a tablet computer or a desktop computer and the like, and the application does not limit the terminal.
In an implementable embodiment, after receiving a target site selection instruction input by a user, a server in interactive communication with the video live broadcast platform can acquire live broadcast video of at least one scene through an image acquisition device (such as a camera) pre-installed in the target site, wherein the scene can be divided into two types, one type is a landscape scene which can include sunrise, sunset, clouds and the like, the other type is an animal scene which can include monkey appearance, lion appearance, giraffe appearance and the like, and it needs to be noted that specific content of the scene is not limited in the present application.
And S102, intercepting a target image in the live video of the scene.
After the image acquisition equipment installed in the target place transmits the live video of the acquired scene to the server, the server can intercept the image in the live video stream sent by each image acquisition equipment according to the preset interception frequency, for example, the live video stream can be intercepted from the live video stream at intervals of 5S, so that an image can be obtained, and the image is used as a target image. Of course, after the image is acquired, the image may be determined according to a preset requirement, the image not meeting the preset requirement may be deleted, and the image meeting the preset requirement may be retained as a target image, where the preset requirement may be that the distortion rate does not exceed a threshold value. It should be noted that the number of the image capturing devices is not limited in the present application.
S103, carrying out image recognition on the target image, and determining whether the target image contains a target object, wherein the target object is an object which is interested by a user.
After intercepting the target image, the server can identify the target image according to an image identification algorithm to obtain the characteristic information of the target image. Matching the characteristic information of the target image with the characteristic information of a pre-stored target object to obtain the matching degree of the target image, and judging whether the target image contains the target object according to a preset matching condition, wherein the preset matching condition can be that the matching degree is greater than 85%, and determining that the target image contains the target object. The target object may be an image preset on the video live broadcast platform by the user, and it should be noted that the number of the target objects is not limited in the present application, and when there are a plurality of target objects, the server may match the target image with each target object respectively.
And S104, outputting reminding information if the target object is determined to be contained in the target image.
The reminding information is used for reminding the user that the live video contains the object which is interested by the user.
The server may send a reminding message to a terminal corresponding to the user after the server determines that a scene desired by the user appears in the received live video stream, where the reminding message may be in a form of a short message and/or a form of voice, and the application does not limit the reminding message. Specifically, the server can acquire the mobile phone number of the user according to the registration information of the user, and send the reminding information to the mobile phone terminal corresponding to the mobile phone number in the form of a short message, so that the user can watch live videos of the target object through a live video platform on the mobile phone terminal and can also watch live videos of the target object through other terminals, and the application does not limit the live videos. Therefore, the user does not need to constantly watch the live video of the scene of the target place in front of the terminal and to find the interested picture in the live video, and the experience degree of the user can be improved.
In summary, in the live broadcast scene reminding method provided by the application, a live broadcast video of at least one scene in a target place is acquired; intercepting a target image in a live video of the scene; performing image recognition on the target image, and determining whether the target image contains a target object, wherein the target object is an object which is interested by a user; and if the target object is determined to be contained in the target image, outputting reminding information, wherein the reminding information is used for reminding the user that the live video contains the object which is interested by the user. By adopting the live broadcast scene reminding method provided by the embodiment of the application, the target image in the live broadcast video is matched with the target object expected by the user, when the matching is successful, the terminal held by the user can directly send the reminding information, the phenomenon that the user needs to keep in front of the terminal provided with the video live broadcast platform all the time in the prior art is avoided, the time of the user can be saved, and the experience degree of the user can be improved.
Fig. 2 is a schematic flow chart of another live view reminding method according to an embodiment of the present application. As shown in fig. 2, the method may further include:
s201, if the target image is determined to contain the target object, storing the target video for a preset time.
The target video is a video containing the target object in the live video, the number of image frames contained in the target video may be one frame or multiple frames, and the present application does not limit the target video. Specifically, the server may use a time when the target image appears in the live video as a reference, use a time corresponding to a preset time period before the time as a start time of the target video, and intercept a segment of video including the target image as the target video, where the preset time period may be limited according to actual needs, for example, may be 1 minute. Of course, the time when the target image appears in the live video may also be taken as the starting time of the target video, and a segment of video with the target image as the starting picture may be intercepted as the target video. The server can cache the target video in a memory, and the caching time is a preset time length.
For example, assuming that a scene in which a user is interested appears when a live video is carried out for 5 minutes, the server stores a live video frame from this moment while sending a reminding message to the user, so as to form a target video with a duration of 2 minutes, wherein the target video can be stored in a memory associated with the server for a preset duration, and the preset duration can be 10 minutes. That is, the user can view the target video within the preset time period when the target object appears, which further increases the possibility that the user sees the interesting scene.
Fig. 3 is a schematic flow chart of another live view reminding method according to an embodiment of the present application. As shown in fig. 3, optionally, performing image recognition on the target image, and determining whether the target image includes a target object, includes:
s301, carrying out image contour recognition on the target image to obtain a main body object in the target image.
Before contour recognition is carried out on a target image, noise reduction processing is carried out on the target image to obtain an optimized target image, image contour recognition is carried out on the optimized target image according to an image edge detection algorithm, and a main object in the optimized target image is recognized, wherein the main object can be a landscape contour (such as sunrise, sunset, cloud sea and the like) or an animal contour (such as a monkey, a lion, a giraffe and the like), and the method is not limited in the application.
S302, contour matching is carried out on the main body object and a plurality of preset optional objects respectively, and whether the target object is contained in the target image or not is determined.
The method comprises the steps that a user can set images shot from different angles on a video live broadcast platform, the server processes a plurality of images corresponding to the same target object according to an image processing algorithm to obtain an object (such as a contour) in each image, contour matching is carried out on a main object in the target image and each selectable object to obtain the contour matching degree of each selectable object, and whether the target object is contained in the target image or not can be determined according to the relation between the contour matching degree of each selectable object and a contour matching degree threshold value.
Optionally, in an implementation embodiment, feature recognition may also be performed on the target image to obtain feature information in the target image, and it is determined whether the target image includes the target object according to the feature information in the target image and feature information of a plurality of preset selectable objects.
Specifically, the server processes a plurality of images corresponding to the same target object according to an image processing algorithm, obtains feature information (such as a pixel value) in each image, performs feature matching on each selectable object in the target image to obtain a feature matching degree of each selectable object, and determines whether the target image includes the target object according to a relationship between the feature matching degree of each selectable object and a feature matching degree threshold.
Optionally, in an implementable embodiment, the maximum matching degree (e.g. contour matching degree, feature matching degree) may be compared with a threshold matching degree, and if the maximum matching degree is greater than the threshold matching degree, it may be determined that the target object is included in the target image; in another practical embodiment, the average matching degree may be obtained according to the matching degree of each selectable object, and if the average matching degree is greater than the threshold matching degree, it may be determined that the target object is included in the target image, which is not limited in this application.
Fig. 4 is a schematic flow chart of another live view reminding method according to an embodiment of the present application. As shown in fig. 4, optionally, performing image recognition on the target image, and determining whether the target image includes a target object, includes:
s401, inputting the target image into a scene recognition model, and acquiring the scene type of the target image.
S402, determining whether the target image contains the target object according to the scene type.
A plurality of existing scene pictures can be labeled by experts to form a training sample for training an initial scene recognition training model, the training sample is input into the initial scene recognition model, and when a training stopping condition is met, the scene recognition model is obtained and can recognize the scene type and the animal type. The server can input the intercepted target image into the scene recognition model, the scene recognition model can extract the characteristics of the target image, and the category of the target image is output according to the characteristics of the target image. The server can obtain scene information whether the target image meets the user expectation according to the category information of the target image and the category information of the target object.
Optionally, before performing image recognition on the target image and determining whether the target image includes the target object, the method further includes: and determining a target object interested by the user according to the historical behavior data of the user.
The server can count the objects in which the user is interested according to historical behavior data of the user, such as downloaded picture information, browsed video information and the like, so that the degree of interest of the user on a plurality of objects can be obtained, for example, the degree of interest of the user on sunrise and giraffes is counted to be higher, the server can determine a proper object as a target object according to the property of a target place set by the user on a video live broadcast platform, for example, the target place has sunrise scenes and giraffe scenes, and then the server can determine pictures containing the sunrise scenes and the giraffes scenes as the target object of the user. The user can be a user registered on the video live broadcast platform or a user reserved, the user is not limited by the application, and the server can actively acquire the target object interested by the user.
Fig. 5 is a schematic flow chart of another live scene reminding method according to an embodiment of the present application. As shown in fig. 5, optionally, before performing image recognition on the target image and determining whether the target image includes the target object, the method further includes:
and S501, receiving reservation information input by the user, wherein the reservation information is used for indicating an object which is interested by the user.
S502, according to the reservation information, a target object which is interested by the user is determined.
Taking a live video broadcast platform as an example for explanation, a user can input reservation information on a reservation module on the live video broadcast platform, the reservation information includes target place information (such as a scenic spot a), animal types (such as elephants), activity conditions of animals (such as elephants drinking water, bird feather washing), landscape states (such as sunrise) and the like, the live video broadcast platform can transmit the reservation information of the user to a background device (server), the server matches a picture closest to the reservation information from pre-stored pictures, and the matched picture is used as a target object interested by the user.
Of course, the user may also directly upload the target object of interest to the live video platform, or the user selects the target object of interest from the pictures recommended by the live video platform, and the live video platform transmits the target object to the background device after receiving the target object, which is not limited in the present application.
Optionally, the outputting the alert information includes: and sending the reminding information to target terminal equipment, wherein the target terminal equipment is the terminal equipment held by the user.
Still take the live video platform as an example for explanation, after determining that the target image includes the target object, the server may send the reminding information to a terminal device held by a reserved user, where the terminal device may be installed with the live video platform or may not be installed with the live video platform. The server can analyze the users who are interested in the target object according to the historical behavior data of the users registered on the video live broadcast platform, can send the reminding information to the users who have made a reservation, and can also send the reminding information to other users who have the same hobbies actively, so that the experience degree of the users can be improved.
The specific mode for sending the reminding information can comprise a short message mode, a system notification mode and a video live broadcast platform internal message mode, so that the user can be reminded of watching interesting scenes through various ways, and the reminding success probability is improved.
Fig. 6 is a schematic structural diagram of a live view reminding device according to an embodiment of the present application. As shown in fig. 6, the apparatus may include:
the acquisition module 601 is configured to acquire a live video of at least one scene in a target site;
an intercepting module 602, configured to intercept a target image in a live video of the scene;
a determining module 603, configured to perform image recognition on the target image, and determine whether the target image includes a target object, where the target object is an object that is interested by a user;
the output module 604 is configured to output a reminding message if it is determined that the target image includes the target object.
Optionally, the apparatus further comprises: and the storage module is used for storing the target video for a preset time if the target image is determined to contain the target object.
Optionally, the determining module 603 is specifically configured to perform image contour recognition on the target image to obtain a main object in the target image; and respectively carrying out contour matching on the main object and a plurality of preset optional objects, and determining whether the target image contains the target object.
Optionally, the determining module 603 is further specifically configured to input the target image into a scene recognition model, and obtain a scene category of the target image; and determining whether the target image contains the target object according to the scene type.
Optionally, the determining module 603 is further configured to determine a target object of interest to the user according to the historical behavior data of the user.
Optionally, the determining module 603 is further configured to receive reservation information input by the user, where the reservation information is used to indicate an object of interest to the user; and determining a target object which is interested by the user according to the reservation information.
Optionally, the output module 604 is specifically configured to send the reminding information to a target terminal device, where the target terminal device is a terminal device held by the user.
The above-mentioned apparatus is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.
These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 7, the electronic device may include: the processor 701, the storage medium 702 and the bus 703, the storage medium 702 stores machine-readable instructions executable by the processor 701, when the electronic device operates, the processor 701 communicates with the storage medium 702 through the bus 703, and the processor 701 executes the machine-readable instructions to execute the steps of the live scene reminding method. The specific implementation and technical effects are similar, and are not described herein again.
Optionally, the present application further provides a storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by the processor, the steps of the live scene reminding method are executed.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. Alternatively, the indirect coupling or communication connection of devices or units may be electrical, mechanical or other.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to perform some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A live scene reminding method is characterized by comprising the following steps:
acquiring a live broadcast video of at least one scene in a target place;
intercepting a target image in a live video of the scene;
performing image recognition on the target image, and determining whether the target image contains a target object, wherein the target object is an object which is interested by a user;
and if the target image is determined to contain the target object, outputting reminding information, wherein the reminding information is used for reminding the user that the live video contains the object which is interested by the user.
2. The method of claim 1, further comprising:
if the target image is determined to contain the target object, storing a target video for a preset time length, wherein the target video is the video containing the target object in the live video.
3. The method of claim 1, wherein the image recognizing the target image and determining whether the target image contains a target object comprises:
carrying out image contour recognition on the target image to obtain a main object in the target image;
and respectively carrying out contour matching on the main object and a plurality of preset optional objects, and determining whether the target image contains the target object.
4. The method of claim 1, wherein the image recognizing the target image and determining whether the target image contains a target object comprises:
inputting the target image into a scene recognition model, and acquiring the scene type of the target image;
and determining whether the target image contains a target object or not according to the scene type.
5. The method according to any one of claims 1-4, wherein before performing image recognition on the target image and determining whether the target image contains the target object, the method further comprises:
and determining the target object interested by the user according to the historical behavior data of the user.
6. The method according to any one of claims 1-4, wherein before performing image recognition on the target image and determining whether the target image contains the target object, the method further comprises:
receiving reservation information input by the user, wherein the reservation information is used for indicating an object in which the user is interested;
and determining a target object which is interested by the user according to the reservation information.
7. The method of any one of claims 1-4, wherein outputting the reminder information comprises:
and sending the reminding information to target terminal equipment, wherein the target terminal equipment is the terminal equipment held by the user.
8. A live view reminder apparatus, the apparatus comprising:
the acquisition module is used for acquiring a live broadcast video of at least one scene in a target place;
the intercepting module is used for intercepting a target image in a live video of the scene;
the determining module is used for carrying out image recognition on the target image and determining whether the target image contains a target object, wherein the target object is an object which is interested by a user;
and the output module is used for outputting reminding information if the target image contains the target object, wherein the reminding information is used for reminding the user that the live video contains the object which is interested by the user.
9. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is running, the processor executing the machine-readable instructions to perform the steps of the live scene reminder method as claimed in any one of claims 1-7.
10. A storage medium having stored thereon a computer program for performing the steps of the live scene alerting method of any one of claims 1-7 when executed by a processor.
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