CN113515688A - Method, terminal and storage medium for recommending application program based on image recognition technology - Google Patents
Method, terminal and storage medium for recommending application program based on image recognition technology Download PDFInfo
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Abstract
The application relates to a method, a terminal and a storage medium for recommending an application program based on an image recognition technology, wherein the method is applied to the terminal and comprises the following steps: acquiring a current scene image; performing image recognition on the current scene image to judge whether the current scene image is matched with the preset image scene; if the current scene image is matched with the preset image scene, determining a target application program according to the current scene image; and recommending the target application program to the user in a mode of inquiring whether the user publishes the current scene image in the target application program. The method and the system can automatically recommend the target application program when the vehicle breaks rules and regulations or beautiful scenery is encountered during driving, do not need manual search of a user, ensure driving safety and enhance user experience.
Description
Technical Field
The application relates to the technical field of car networking, in particular to a method, a terminal and a storage medium for recommending an application program based on an image recognition technology.
Background
With the improvement of the living standard of people, in order to facilitate traveling, the automobile has become an indispensable vehicle in daily life of people. By driving a car, people can arrive at a destination from a departure place at a faster speed and with a shorter elapsed time.
During driving, the vehicle-mounted camera can shoot a scene image of the driving all the time and send the scene image to the vehicle-mounted terminal for storage so as to record the driving environment and meet emergency conditions. When a driver sees that a satisfactory landscape is required to be published in a related application program or a scene which endangers the safety of a user, such as a lane change violation of a preceding vehicle, is required to be photographed and published on an alert platform, the vehicle-mounted terminal cannot automatically recommend a target application program according to the current scene, so that the driver can determine whether to send the target application program or not, the driver needs to operate the vehicle-mounted terminal to photograph and select the target application program to publish the target application program, the driver is easy to be distracted, the driving safety is influenced, and the user experience is poor.
Disclosure of Invention
The application aims to provide a method, a terminal and a storage medium for recommending an application program based on an image recognition technology, so as to solve the technical problem that a traditional driver wants to release a current scene image in a corresponding application program in the driving process and needs to manually search the application program.
In order to solve the above technical problem, a first aspect of the present application provides a method for recommending an application program based on an image recognition technology, which is applied to a terminal and includes:
acquiring a current scene image;
performing image recognition on the current scene image to judge whether the current scene image is matched with the preset image scene;
if the current scene image is matched with the preset image scene, determining a target application program according to the current scene image; and
and recommending the target application program to the user.
Further, the preset image scene includes a first preset image scene and a second preset image scene, and when the current scene image matches one of the first preset image scene and the second preset image scene, the current scene image is considered to match the preset image scene.
Further, the determining the content of the target application program according to the current scene image when the current scene image is matched with the preset image scene includes: when the current scene image is matched with the first preset image scene, determining the target application program as an alert comprehensive platform; and when the current scene image is matched with the second preset image scene, determining that the target application program is a preset social application program.
Further, before the step of acquiring the current scene image shot by the vehicle-mounted camera, the method further includes:
receiving an image input about the preset image scene by receiving an external input image; and
and performing deep learning on the input image to generate the preset image scene.
Further, the method further comprises:
acquiring response information of a user on whether to issue the current scene image in the target application program; and
and when the user confirms the release, releasing the current scene image in the target application program.
Further, before the step of publishing the current scene image in the target application, the method further comprises:
acquiring current shooting environment parameters, wherein the shooting environment parameters comprise a shooting place and shooting time;
and adding a watermark label on the current scene image according to the shooting environment parameters, wherein the content of the watermark label comprises shooting time and place.
Further, when the user confirms whether to publish the current scene image in the target application program through voice, the step of acquiring the response information of the user on whether to publish the current scene image in the target application program includes:
receiving voice information;
judging whether the content of the voice information contains keywords for confirming release;
and if so, confirming that the voice information is the voice instruction confirmed to be issued.
Further, the target application program is recommended to the user in a mode of inquiring whether the user publishes the current scene image in the target application program.
A second aspect of the present application provides a terminal, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for recommending an application program based on image recognition technology when executing the computer program.
The third aspect of the present application also provides a storage medium having a computer program stored thereon, which when executed by a processor implements the steps of the above-mentioned method for recommending an application program based on an image recognition technique.
The beneficial effect of this application is as follows:
according to the method, the terminal and the storage medium for recommending the application program based on the image recognition technology, the current scene image shot by the vehicle-mounted camera is received during driving, the image information of the current scene image is recognized, the target application program is recommended when the current scene image is matched with the preset image scene model, the current scene image is uploaded to the cloud server through the target application program and is issued in the target application program after the confirmation issuing instruction of the user is received, the target application program does not need to be manually searched by the user, driving safety is guaranteed, and user experience is enhanced.
The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical means of the present application more clearly understood, the present application may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present application more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
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FIG. 1 is a schematic illustration of an application environment in which a method for recommending applications based on image recognition techniques is applied;
FIG. 2 is a flow chart of a method for recommending applications based on image recognition technology according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
To further explain the technical means and effects of the present application for achieving the objective of the present application, the following detailed description is given for the embodiments, methods, steps, structures, features and effects thereof according to the present application with reference to the accompanying drawings and preferred embodiments.
The foregoing and other technical matters, features and effects of the present application will be apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings. While the present application is susceptible to particular embodiments and features, it is to be understood that various changes, modifications and substitutions may be made therein without departing from the spirit and scope of the present application.
Fig. 1 is an application environment of a method for recommending an application program based on an image recognition technology according to an embodiment of the present application. As shown in fig. 1, the application environment includes a cloud server and a terminal.
The cloud server is a server cluster formed by one or more servers and is in wireless communication with the terminal to realize data interaction.
The application program recommending method based on the image recognition technology is applied to a terminal, and the terminal comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the terminal is configured to provide the calculations and controls. The memory of the terminal comprises a non-volatile memory medium and a memory storage. The non-volatile storage medium stores a slave operating system and a computer program. The memory storage provides an environment for the operation of an operating system and computer programs in the volatile storage medium. The network interface of the terminal is used for communicating with an external device such as a cloud server and/or an external electronic device through a network. Optionally, the display screen of the terminal may be a liquid crystal display screen or an electronic ink display screen, and the input device of the terminal may be a touch layer on the display screen, or a microphone or a key arranged on a housing of the terminal. The computer program, when executed by a processor, implements a method for recommending applications based on image recognition techniques. When the method for recommending the application program based on the image recognition technology is implemented, the terminal can acquire image information, recognize the image information, and release the image information meeting the preset conditions in the related application programs in the cloud server, wherein the related application programs are police platforms, microblogs, jitters and the like. The terminal is, for example, a vehicle-mounted terminal or a mobile terminal such as a personal mobile phone.
Fig. 2 is a flowchart of a method for recommending an application program based on an image recognition technology according to an embodiment of the present application, and specifically, as shown in fig. 2, a first aspect of the present invention provides a method for recommending an application program based on an image recognition technology, including the following steps:
step S1: and acquiring a current scene image.
Specifically, the current scene image is a current scene shot by a vehicle-mounted camera during driving, the vehicle-mounted camera is connected with an interface of the terminal, and the vehicle-mounted camera usually always shoots a scene of a traveling route during driving of the vehicle and transmits the scene image to a memory and a processor of the terminal through a system bus so as to be processed by the processor and stored by the memory.
Step S2: and carrying out image recognition on the current scene image to judge whether the current scene image is matched with a preset image scene.
After the vehicle-mounted camera sends the shot current scene image to the processor of the terminal, the processor of the vehicle terminal starts to identify the current scene image, and whether the current scene image is matched with the preset image scene or not is judged in a mode of comparing the current scene image with the preset image scene. In this embodiment, the scene image is processed by image segmentation, the image segmentation method may adopt a threshold segmentation method, an edge detection method, a region extraction method, and a segmentation method combining a specific theoretical tool, such as image segmentation based on mathematical morphology, segmentation based on wavelet transformation, segmentation based on a genetic algorithm, and the like, the processed image is compared with a preset image scene, and when the scene image matches the preset image scene, the current scene image shot by the vehicle-mounted camera is considered to be a beautiful scene image meeting the user requirements.
In this embodiment, the preset image scene includes a first preset image scene and a second preset image scene, and when the current scene image matches one of the first preset image scene and the second preset image scene, the current scene image is considered to match the preset image scene.
Specifically, the first preset image scene is a preset violation image scene, and the second preset image scene is a preset landscape image scene. The method comprises the steps that a first preset image scene and a second preset image scene are pre-stored in a processor of a terminal in the form of image scene reference models, and image characteristics of the first preset image scene comprise reference objects such as a front vehicle changing lane in a solid line mode and a front vehicle turning around suddenly; the image features of the second preset image scene include, for example, sky blue, green sky, smoke turning around, grassland, oasis in desert, buildings and other reference objects.
It can be understood that when the image features in the current scene image shot by the vehicle-mounted camera are matched with the image features in the preset image scene, it is determined that the current scene image is matched with the preset image scene.
In an embodiment, before the step of acquiring a scene image captured by an onboard camera, the method of the present application further includes:
receiving an image input about a preset image scene by receiving an external input image; and
and performing deep learning on the input image to generate a preset image scene.
In the deep learning, which is a method based on characterization learning of data in machine learning, an observation value (e.g., an image) can be represented in multiple ways, such as a vector of intensity values of each pixel, or more abstractly represented as a series of edges, a region with a specific shape, etc., while tasks are easier to learn from examples using some specific representation methods, the deep learning can replace the manual feature acquisition with unsupervised or supervised feature learning and hierarchical feature extraction efficient algorithms. In this embodiment, the preset image scene is obtained by means of deep learning, the image used for the deep learning is an image input by an external storage device or an image input by network search, image features included in the images include references such as a vehicle changing lane with a solid line, a vehicle ahead turning suddenly, sky blue, much greenery, smoke turning around, grasslands, oasis in deserts, buildings and the like, and an image model meeting user requirements can be established as the preset image scene by performing the deep learning on the input image.
Step S3: and if the current scene image is matched with the preset image scene, determining the target application program according to the current scene image.
Specifically, when the current scene image is matched with the first preset image scene, namely the image feature of the current scene image is that the front vehicle breaks rules and regulations, the target application program is determined to be an alert comprehensive platform, and meanwhile, the alert comprehensive platform is recommended to the user, so that the user can determine whether the current scene image is published in the target application program. When the current scene image is matched with the second preset image scene, namely the image feature of the current scene image is beautiful scenery, the target application program is determined to be a preset social application program, the preset social application program comprises one of WeChat, tremble, microblog and the like, and the preset social application program is recommended to the user so that the user can conveniently determine whether to publish the current scene image in the preset social application program.
Step S4: and recommending the target application program to the user in a mode of inquiring whether the user publishes the current scene image in the target application program.
In one embodiment, the way the user is asked whether to publish the current scene image in the target application includes a voice query and/or a text display query. Specifically, a microphone of the terminal directly sends out a query to inquire whether to publish the voice information of the current scene image in the target application program, and/or a display screen of the terminal displays whether to publish the text information of the current scene image in the target application program and shows two text identifications of yes and no for the user to select.
Step S5: and acquiring response information of a user on whether to release the current scene image in the target application program.
The user may respond by way of a manual input or by way of a voice input whether to publish the current scene image in the target application.
In one embodiment, when the user confirms whether to publish the current scene image in the target application program through voice, the step of obtaining the response information of the user on whether to publish the current scene image in the target application program comprises:
receiving voice information;
judging whether the content of the voice information contains a keyword for confirming the release;
if yes, the voice information is confirmed to be the voice instruction confirmed to be issued.
After receiving the voice information, the terminal identifies the content of the voice information to judge the type of the instruction input by the user, and when the content of the voice information contains the keyword for confirming the release, the terminal determines that the voice instruction for confirming the release is input by the user. For example, when the user speaks "confirm release" in voice, it can be known through content recognition that the keyword included in the voice information is "confirm release", and then the voice information is confirmed as a voice command for confirming release. The keywords for confirming the release may be words capable of expressing the confirmed release, such as "confirm", "release", "ok", and the like, and after the user speaks the words, the terminal may confirm the voice information as the voice quality for confirming the release.
When a user confirms whether to publish a current scene image in a target application program in a manual input mode, for example, the user selects two character identifiers of yes and no for the user to select by pressing a key button around the terminal, or a display screen of the terminal is a touch screen, the user selects the two character identifiers of yes and no for the user to select by clicking the touch screen, when the user selects "yes", response information of the user is confirmed to be published, and when the user selects "no", response information of the user is confirmed not to be published.
Step S6: and when the user confirms the release, releasing the current scene image in the target application program.
In an embodiment, the target application program may be an application program stored in a memory of the terminal, and after the memory stores the target application program, the processor may directly run the target application program, and issue the current scene image in the target application program, specifically, the target application program has a front end and a back end, the front end runs in the terminal, the back end runs in the cloud server, and the front end and the back end are connected through a preset software interface, and the current scene image is uploaded to the cloud server through the front end of the target application program, then issued at the back end of the target application program, and then fed back to the front end of the target application program through the back end, so that the current scene image is issued in the target application program.
In an embodiment, the target application program is not stored in the processor, the fast application corresponding to the target application program is searched in the cloud service according to the name of the target application program through a fast application search engine or other search engines for searching the fast application in the cloud service, the fast application corresponding to the target application program is operated in the processor, the current scene image is uploaded to the cloud server and is fed back to the front end of the fast application corresponding to the target application program through the back end, and the current scene image is released in the target application program.
In an embodiment, before the step of publishing the current scene image in the target application, the method of the present application further includes:
acquiring current shooting environment parameters, wherein the shooting environment parameters comprise a shooting place and shooting time;
and adding a watermark label on the current scene image according to the shooting environment parameters, wherein the content of the watermark label comprises shooting time and a shooting place.
The shooting location is, for example, a certain highway, a certain city, a certain administrative district, and a certain scenic spot, the shooting time is a certain day of a certain month of a certain year, and may also be specific to the time, minute, and second, and the shooting environment parameters are set on the shot image in a watermark manner.
It can be understood that the scene image published in the target application is the scene image loaded with the watermark tag, so that the scene image has the description of the shooting time and the shooting place, and after the scene image is published, other users can acquire the shooting environment of the scene image.
It should be noted that, in the present application, because the vehicle-mounted camera continuously shoots the current scene image, the scene image obtained by the vehicle-mounted camera is a video formed by continuous multi-frame images, and when the continuous multi-frame images are all matched with the preset image scene, the current scene image is published in the target application program in the form of the video. Of course, the content of the video may include, but is not limited to, a plurality of consecutive frames of current scene images matched with the preset image scene, and may also include a previous frame image before and a next frame image after the plurality of frames of current scene images, so that the video information is more complete.
Fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application, and referring to fig. 3, a second aspect of the present application provides a terminal including a memory 310 and a processor 320, where the memory 310 stores a computer program, and the processor 320 executes the computer program to implement the steps of the method for recommending an application program based on an image recognition technology.
The third aspect of the present invention provides a storage medium, which is a readable storage medium, and has a computer program stored thereon, where the computer program is executed by a processor to implement the steps of the method for recommending an application program based on image recognition technology.
In an embodiment, the storage medium includes any entity or device capable of carrying computer program code, a recording medium, such as ROM, RAM, magnetic disk, optical disk, flash memory, etc.
According to the method, the terminal and the storage medium for recommending the application program based on the image recognition technology, the current scene image shot by the vehicle-mounted camera is received during driving, the image information of the current scene image is recognized, the target application program is recommended when the current scene image is matched with the preset image scene model, the current scene image is uploaded to the cloud server through the target application program and is issued in the target application program after the confirmation issuing instruction of the user is received, the target application program does not need to be manually searched by the user, driving safety is guaranteed, and user experience is enhanced.
Although the present application has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application, and all changes, substitutions and alterations that fall within the spirit and scope of the application are to be understood as being included within the following description of the preferred embodiment.
Claims (10)
1. A method for recommending an application program based on an image recognition technology is applied to a terminal, and is characterized by comprising the following steps:
acquiring a current scene image;
performing image recognition on the current scene image to judge whether the current scene image is matched with the preset image scene;
if the current scene image is matched with the preset image scene, determining a target application program according to the current scene image; and
and recommending the target application program to the user.
2. The method of claim 1, wherein the preset image scene comprises a first preset image scene and a second preset image scene, and when the current scene image matches one of the first preset image scene and the second preset image scene, the current scene image is considered to match the preset image scene.
3. The method for recommending an application program based on image recognition technology according to claim 2, wherein the first preset image scene is a preset violation image scene, the second preset image scene is a preset landscape image scene, and if the current scene image matches the preset image scene, determining the content of the target application program according to the current scene image comprises: when the current scene image is matched with the first preset image scene, determining the target application program as an alert comprehensive platform; and when the current scene image is matched with the second preset image scene, determining that the target application program is a preset social application program.
4. The method for recommending an application program based on image recognition technology according to claim 1, wherein said step of acquiring the image of the current scene captured by the vehicle-mounted camera is preceded by the step of:
receiving an image input about the preset image scene by receiving an external input image; and
and performing deep learning on the input image to generate the preset image scene.
5. The method for recommending applications based on image recognition technology according to claim 1, further comprising:
acquiring response information of a user on whether to issue the current scene image in the target application program; and
and when the user confirms the release, releasing the current scene image in the target application program.
6. The method for recommending an application program based on image recognition technology according to claim 5, wherein said step of publishing said current scene image in said target application program is preceded by the steps of:
acquiring current shooting environment parameters, wherein the shooting environment parameters comprise a shooting place and shooting time;
and adding a watermark label on the current scene image according to the shooting environment parameters, wherein the content of the watermark label comprises shooting time and place.
7. The method for recommending an application program based on image recognition technology according to claim 5, wherein said step of obtaining user response information on whether to publish the current scene image in the target application program when the user confirms whether to publish the current scene image in the target application program by voice comprises:
receiving voice information;
judging whether the content of the voice information contains keywords for confirming release;
and if so, confirming that the voice information is the voice instruction confirmed to be issued.
8. The method for recommending an application program based on image recognition technology of claim 1, wherein said target application program is recommended to the user in a manner of inquiring whether the user issues said current scene image in said target application program.
9. A terminal, characterized in that it comprises a memory storing a computer program and a processor which, when executing the computer program, realizes the steps of the method according to any one of claims 1 to 8.
10. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method according to any one of claims 1 to 8.
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| 高汉龙;: "公共安全车辆综合管控系统的实现与技术分析", 中国高新科技, no. 12 * |
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