CN114390071A - Multimedia data pushing method and device, electronic equipment and readable storage medium - Google Patents

Multimedia data pushing method and device, electronic equipment and readable storage medium Download PDF

Info

Publication number
CN114390071A
CN114390071A CN202111459404.3A CN202111459404A CN114390071A CN 114390071 A CN114390071 A CN 114390071A CN 202111459404 A CN202111459404 A CN 202111459404A CN 114390071 A CN114390071 A CN 114390071A
Authority
CN
China
Prior art keywords
driving
vehicle
data
multimedia data
scene
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111459404.3A
Other languages
Chinese (zh)
Inventor
樊小柱
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Apollo Zhilian Beijing Technology Co Ltd
Apollo Zhixing Technology Guangzhou Co Ltd
Original Assignee
Apollo Zhilian Beijing Technology Co Ltd
Apollo Zhixing Technology Guangzhou Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Apollo Zhilian Beijing Technology Co Ltd, Apollo Zhixing Technology Guangzhou Co Ltd filed Critical Apollo Zhilian Beijing Technology Co Ltd
Priority to CN202111459404.3A priority Critical patent/CN114390071A/en
Publication of CN114390071A publication Critical patent/CN114390071A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • G08G1/096725Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control

Landscapes

  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Atmospheric Sciences (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present disclosure discloses a multimedia data pushing method, an apparatus, an electronic device and a readable storage medium, and relates to the technical field of data processing and image processing, in particular to the technical field of automatic driving, intelligent transportation, car networking, intelligent cabin and other artificial intelligence, and in particular to a multimedia data pushing method, an apparatus, an electronic device and a readable storage medium. The specific implementation scheme is as follows: acquiring driving condition data of vehicle driving, wherein the driving condition data comprises at least one of driving state data, driving environment data and driving time data; determining a driving scene of the vehicle according to the driving condition data of the driving of the vehicle; and outputting multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle.

Description

Multimedia data pushing method and device, electronic equipment and readable storage medium
Technical Field
The disclosure relates to the technical field of data processing and image processing, in particular to the technical field of automatic driving, intelligent transportation technology, car networking, intelligent cockpit and other artificial intelligence.
Background
With the deep development of the internet, Applications (APPs) applied to terminals are in the endlessly. To accommodate the entertainment needs of a vehicle while in motion, some applications may provide a user on the vehicle with a playing service of multimedia data, such as an in-vehicle application, a multimedia application, a navigation application, and the like. These applications may provide the user with multimedia data that matches the search information provided by the user in the vehicle.
Disclosure of Invention
The disclosure provides a multimedia data pushing method and device, an electronic device and a readable storage medium.
According to an aspect of the present disclosure, there is provided a method for pushing multimedia data, including:
acquiring driving condition data of vehicle driving, wherein the driving condition data comprises at least one of driving state data, driving environment data and driving time data;
determining a driving scene of the vehicle according to the driving condition data of the driving of the vehicle;
and outputting multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle.
According to another aspect of the present disclosure, there is provided a multimedia data push apparatus, including:
an acquisition unit configured to acquire travel condition data on travel of a vehicle, the travel condition data including at least one of travel state data, travel environment data, and travel time data;
the determining unit is used for determining a driving scene of the vehicle according to the driving condition data of the driving of the vehicle;
and the output unit is used for outputting the multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle.
According to still another aspect of the present disclosure, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of the aspects and any possible implementation described above.
According to yet another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of the above-described aspect and any possible implementation.
According to yet another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of the aspect and any possible implementation as described above.
According to the technical scheme, the driving condition data of the vehicle driving is obtained, the driving condition data comprises at least one of driving state data, driving environment data and driving time data, and further, the driving scene of the vehicle is determined according to the driving condition data of the vehicle driving, so that the multimedia data matched with the driving scene of the vehicle can be output according to the driving scene of the vehicle.
In addition, by adopting the technical scheme provided by the disclosure, the user experience can be effectively improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and those skilled in the art can also obtain other drawings according to the drawings without inventive labor. The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1A is a schematic diagram according to a first embodiment of the present disclosure;
FIG. 1B is a schematic diagram of a hardware implementation of the vehicle in the embodiment of FIG. 1;
FIG. 2 is a schematic diagram according to a second embodiment of the present disclosure;
FIG. 3 is a schematic diagram according to a third embodiment of the present disclosure;
fig. 4 is a block diagram of an electronic device for implementing a multimedia data push method according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It is to be understood that the described embodiments are only a few, and not all, of the disclosed embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It should be noted that the terminal device involved in the embodiments of the present disclosure may include, but is not limited to, a mobile phone, a Personal Digital Assistant (PDA), a wireless handheld device, a Tablet Computer (Tablet Computer), and other intelligent devices; the display device may include, but is not limited to, a personal computer, a television, and the like having a display function.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
With the deep development of the internet, Applications (APPs) applied to terminals are in the endlessly. To accommodate the entertainment needs of a vehicle while in motion, some applications may provide a user on the vehicle with a playing service of multimedia data, such as an in-vehicle application, a multimedia application, a navigation application, and the like. These applications may provide the user with multimedia data that matches the search information provided by the user in the vehicle.
90% of users have demands for consuming multimedia contents when driving vehicles, and through research of users, users have different multimedia content consumption demands under different driving scenes (such as traffic congestion, high-speed driving, mountain/forest/sea driving, rain/snow/sunny days). For example, traffic congestion may be relieved of annoyance by listening to certain relaxing music, and high speed driving may be refreshment by listening to certain highly exciting music.
At present, if the vehicle-mounted multimedia system needs to meet the requirements of users, the following 5 links are needed:
1. a user observes the surrounding environment, road conditions and vehicle driving states and judges the current driving scene;
2. a user thinks and judges the multimedia content which accords with the current scene, and determines a search keyword which possibly accords with the requirement;
3. a user opens the vehicle-mounted multimedia system, inputs search keywords and retrieves music themes meeting requirements, wherein repeated searching may occur due to mismatching of the keywords and the current scene;
4. a user finds music which accords with the current scene through the vehicle-mounted multimedia system and plays the music;
5. when multimedia contents need to be switched due to a driving scene switching, the user repeats the above steps.
The above method has the following disadvantages:
1. the operation difficulty is high: particularly, in a driving environment, a user does not operate the vehicle machine as simply as a mobile phone, and the operation of the vehicle machine to search multimedia contents is a behavior with high difficulty and increased driving risk;
2. the search cost is high: the user needs to judge and search out the multimedia content which accords with the current scene of the user from massive music, the searching cost is very high, and the user usually needs to repeatedly search and browse and spend a long time to determine the target content;
3. the demand satisfaction is low: when the user needs to pay higher operation cost and search cost to succeed, the user is very easy to abandon the operation, and the satisfaction degree of the user requirement is very low.
However, since the multimedia data obtained completely depending on the search information provided by the user may not satisfy the user's intention of the user in the vehicle at this time, the user needs to repeatedly search and browse the obtained multimedia data through the application to obtain the multimedia data satisfying the user's intention, and thus, data interaction between the application and the processing engine used by the application may be increased, resulting in an increase in the processing load of the processing engine.
Therefore, in order to reduce the processing load of the processing engine and improve the user satisfaction, it is required to provide a method for pushing multimedia data with higher pushing efficiency and reliability.
Fig. 1A is a schematic diagram according to a first embodiment of the present disclosure, as shown in fig. 1A.
101. The method includes acquiring driving condition data of the vehicle driving, wherein the driving condition data includes at least one of driving state data, driving environment data and driving time data.
102. And determining the driving scene of the vehicle according to the driving condition data of the driving of the vehicle.
103. And outputting multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle.
Therefore, the targeted multimedia data which are in accordance with the current driving scene are recommended for the user aiming at different driving scenes of the vehicle in an intelligent mode, and the requirements of the user for consuming different multimedia contents under different driving scenes of the vehicle are met.
It should be noted that part or all of the execution subjects of 101 to 103 may be an application located at the local terminal, or may also be a functional unit such as a plug-in or Software Development Kit (SDK) set in the application located at the local terminal, or may also be a processing engine located in a server on the network side, or may also be a distributed system located on the network side, for example, a processing engine or a distributed system in a push platform of multimedia data on the network side, which is not particularly limited in this embodiment.
It is to be understood that the application may be a native application (native app) installed on the local terminal, or may also be a web page program (webApp) of a browser on the local terminal, which is not limited in this embodiment.
In this way, by acquiring the driving condition data of the vehicle driving, wherein the driving condition data comprises at least one of driving state data, driving environment data and driving time data, and further determining the driving scene of the vehicle according to the driving condition data of the vehicle driving, the multimedia data matched with the driving scene of the vehicle can be output according to the driving scene of the vehicle.
In the present disclosure, the software capability of the vehicle needs to be able to collect the driving condition data of the vehicle driving, and the driving condition data may include, but is not limited to, at least one of driving state data, driving environment data, and driving time data, which is not particularly limited in this embodiment.
The running state data refers to data related to the running of the vehicle such as a running state and a vehicle state, and includes, for example, a running position, a running speed, a middle speed, and a high speed.
Specifically, the driving state data of the vehicle may be collected by a vehicle Positioning device such as a Global Positioning System (GPS) or the like, a vehicle speed meter, or the like.
The driving environment data refers to external environment data around the vehicle such as road conditions, weather conditions, geographical environments, and the like, and examples thereof include traffic congestion, rain, snow, sunny days, mountainous regions, forest lands, grasslands, deserts, seas, and the like.
Specifically, the running environment data of the vehicle may be collected through hardware facilities of the vehicle. Among them, the hardware condition of the vehicle requires hardware facilities such as an external camera, which is mounted at positions outside the vehicle a to E shown in fig. 1B, respectively, for example. An external camera mounted on the vehicle can capture traveling environment data such as the environment around the vehicle.
Further, the weather condition of the area where the vehicle is located in a large range can be determined by acquiring weather forecast data, further, an external image of the position where the vehicle is located can be further acquired through an external camera installed on the vehicle, and the local accurate weather climate can be judged according to the external image and the determined weather condition.
The travel time data refers to travel time, travel time zone, travel time data of the vehicle, and the like, and includes, for example, early morning, night, weekday, weekend, and the like.
Optionally, in a possible implementation manner of this embodiment, in 102, a driving scenario of the vehicle may be determined in multiple ways according to driving condition data of the vehicle.
In a specific implementation process, the acquired driving condition data of the vehicle driving may be specifically input into a scene prediction model, and the driving scene of the vehicle is determined according to a result output by the scene prediction model.
The scene prediction model may adopt a Recurrent Neural Network (RNN), or may also adopt another Neural Network, which is not particularly limited in this embodiment. Specifically, the existing model training method may be specifically adopted for training.
In this way, the scene prediction model is constructed through deep learning, and the driving scene of the vehicle can be directly determined according to the driving condition data of the driving of the vehicle based on the scene prediction model, so that the efficiency and the reliability of scene recognition are improved.
In another specific implementation process, the driving characteristics of the vehicle driving may be obtained according to the driving condition data of the vehicle driving. The driving feature of the vehicle driving may include, but is not limited to, at least one of a scene feature of the vehicle driving and an intention feature of the vehicle driving, which is not particularly limited in this embodiment. Furthermore, the driving scene of the vehicle may be determined according to the driving characteristics of the driving of the vehicle.
Specifically, the acquired driving condition data of the vehicle driving may be specifically subjected to feature extraction processing to obtain driving features of the vehicle driving, and then, a driving scene of the vehicle corresponding to the driving features of the vehicle driving is determined.
In this way, by extracting the travel characteristics from the travel condition data on which the vehicle travels, the travel scene of the vehicle can be determined sufficiently from the travel characteristics of each travel scene, thereby improving the reliability of scene recognition.
Optionally, in a possible implementation manner of this embodiment, in 103, a content tag matched with the driving scene of the vehicle may be specifically obtained according to the driving scene of the vehicle, and then, the multimedia data having the content tag may be output.
Specifically, after the driving scene of the vehicle is obtained, a matching process between the driving scene and the content tag may be performed by using a pre-configured matching policy, so as to obtain the content tag matched with the driving scene of the vehicle.
In a specific implementation process, the content tag of each multimedia data in the recommendable multimedia data may be further obtained according to the recommendable multimedia data.
In this way, by mining the content tags of the recommendable multimedia data, the multimedia data having the content tags corresponding to the driving scene of the vehicle can be matched and output, thereby improving the recommendation efficiency and reliability of the multimedia data.
Optionally, in a possible implementation manner of this embodiment, after 103, the matching policy of the multimedia data and the driving scene of the vehicle may be further adjusted in response to an operation of the user on the vehicle based on the output multimedia data.
Specifically, after outputting the multimedia data matching the driving scene of the vehicle, the user may perform operations, such as a collection operation, a pause operation, a switching operation, and the like, based on the output multimedia data according to the user's needs. Then, in response to the operation of the user on the vehicle based on the output multimedia data, the matching precision of the driving scene, the content tag and the user requirement can be continuously optimized, and the matching strategy of the multimedia data and the driving scene of the vehicle can be adjusted.
Therefore, the matching strategy of the multimedia data and the driving scene of the vehicle can be adjusted by continuously optimizing the matching precision of the driving scene, the content tag and the user requirement, and a more accurate matching strategy is obtained, so that the recommendation efficiency and reliability of the multimedia data are improved.
By adopting the technical scheme provided by the disclosure, the user can match and recommend the driving scene and the multimedia data suitable for playing currently by means of the recognition function of the vehicle on the driving scene, the requirement of the user on scene-based multimedia content consumption is met in a fully automatic mode, the complex retrieval and screening operation of the vehicle machine system by the user is avoided, and the requirement satisfaction degree and the safety in the driving process when the user uses the vehicle are greatly improved.
The following describes the technical solution of the present disclosure in detail by taking an example of the operation of performing 101 to 103 by a vehicle and cloud background interactive operation, as shown in fig. 2.
201. And an operator or other processing systems perform content analysis processing on each multimedia data in the multimedia content library to obtain a content tag of the multimedia data.
202. The method comprises the steps that a vehicle collects driving condition data of the driving of the vehicle, determines a driving scene of the vehicle according to the driving condition data of the driving of the vehicle, and sends the determined driving scene of the vehicle to a cloud background.
The driving condition data may include, but is not limited to, at least one of driving state data, driving environment data, and driving time data, which is not particularly limited in this embodiment.
203. And the cloud background outputs multimedia data matched with the driving scene of the vehicle to the vehicle according to the driving scene of the vehicle.
204. The user can operate based on the output multimedia data according to the user requirement of the user, and an operation result is fed back to the cloud background.
Therefore, the cloud background can respond to the operation of the user on the vehicle based on the output multimedia data, and adjust the matching strategy of the multimedia data and the driving scene of the vehicle, so that the multimedia data which better meets the requirements of the user can be output.
In this embodiment, by acquiring the driving condition data of the vehicle driving, where the driving condition data includes at least one of driving state data, driving environment data, and driving time data, and further determining the driving scene of the vehicle according to the driving condition data of the vehicle driving, the multimedia data matched with the driving scene of the vehicle can be output according to the driving scene of the vehicle.
In addition, by adopting the technical scheme provided by the disclosure, manual operation is not needed, the operation is simple, errors are not easy to occur, and the efficiency and the reliability of multimedia data pushing can be further improved.
In addition, by adopting the technical scheme provided by the disclosure, the user experience can be effectively improved.
It is noted that while for simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present disclosure is not limited by the order of acts, as some steps may, in accordance with the present disclosure, occur in other orders and concurrently. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required for the disclosure.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
Fig. 3 is a schematic diagram according to a third embodiment of the present disclosure, as shown in fig. 3. The pushing device 300 of multimedia data of the present embodiment may include an obtaining unit 301, a determining unit 302, and an outputting unit 303. The acquiring unit 301 is configured to acquire driving condition data of driving of the vehicle, where the driving condition data includes at least one of driving state data, driving environment data, and driving time data; a determining unit 302, configured to determine a driving scenario of the vehicle according to driving condition data of the vehicle; an output unit 303, configured to output multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle.
It should be noted that, part or all of the multimedia data pushing apparatus in this embodiment may be an application located at the local terminal, or may also be a functional unit such as a plug-in or Software Development Kit (SDK) set in the application located at the local terminal, or may also be a processing engine located in a server on the network side, or may also be a distributed system located on the network side, for example, a processing engine or a distributed system in a multimedia data pushing platform on the network side, and this embodiment is not particularly limited to this.
It is to be understood that the application may be a native application (native app) installed on the local terminal, or may also be a web page program (webApp) of a browser on the local terminal, which is not limited in this embodiment.
Optionally, in a possible implementation manner of this embodiment, the determining unit 302 may be specifically configured to obtain a driving characteristic of the vehicle driving according to driving condition data of the vehicle driving, where the driving characteristic of the vehicle driving includes at least one of a scene characteristic of the vehicle driving and an intention characteristic of the vehicle driving; and determining a driving scene of the vehicle according to the driving characteristics of the driving of the vehicle.
Optionally, in a possible implementation manner of this embodiment, the output unit 303 may be specifically configured to obtain, according to a driving scene of the vehicle, a content tag matched with the driving scene of the vehicle; and outputting the multimedia data with the content tag.
In a specific implementation process, the output unit 303 may be further configured to obtain a content tag of each multimedia data in the recommendable multimedia data according to the recommendable multimedia data.
Optionally, in a possible implementation manner of this embodiment, the output unit 303 may be further configured to adjust a matching policy of the multimedia data and the driving scene of the vehicle in response to an operation of a user on the vehicle based on the output multimedia data.
It should be noted that the method in the embodiment corresponding to fig. 1A and the method executed by the cloud background and the vehicle in the embodiment corresponding to fig. 2 may be implemented by the multimedia data pushing device provided in this embodiment. For a detailed description, reference may be made to relevant contents in the embodiments corresponding to fig. 1A and fig. 2, and details are not repeated here.
In this embodiment, the obtaining unit obtains the driving condition data of the vehicle driving, where the driving condition data includes at least one of driving state data, driving environment data and driving time data, and the determining unit determines the driving scene of the vehicle according to the driving condition data of the vehicle driving, so that the output unit can output the multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle.
In addition, by adopting the technical scheme provided by the disclosure, manual operation is not needed, the operation is simple, errors are not easy to occur, and the efficiency and the reliability of multimedia data pushing can be further improved.
In addition, by adopting the technical scheme provided by the disclosure, the user experience can be effectively improved.
In the technical scheme of the disclosure, the acquisition, storage, application and the like of the driving condition data of the driving of the vehicle, such as the driving speed of the vehicle, the position of the vehicle and the like, all conform to the regulations of relevant laws and regulations, and do not violate the good customs of the public order.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 4 shows a schematic block diagram of an example electronic device 400 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 4, the electronic device 400 includes a computing unit 401 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 can also be stored. The computing unit 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
A number of components in the electronic device 400 are connected to the I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Computing unit 401 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 401 executes the respective methods and processes described above, such as the push method of multimedia data. For example, in some embodiments, the pushing method of multimedia data may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 400 via the ROM 402 and/or the communication unit 409. When the computer program is loaded into RAM 403 and executed by computing unit 401, one or more steps of the method for pushing multimedia data described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured by any other suitable means (e.g. by means of firmware) to perform the push method of multimedia data.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable multimedia data pushing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), the internet, and blockchain networks.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims (13)

1. A method for pushing multimedia data, comprising:
acquiring driving condition data of vehicle driving, wherein the driving condition data comprises at least one of driving state data, driving environment data and driving time data;
determining a driving scene of the vehicle according to the driving condition data of the driving of the vehicle;
and outputting multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle.
2. The method of claim 1, wherein the determining a driving scenario of the vehicle from the driving situation data of the vehicle driving comprises:
obtaining a driving characteristic of the vehicle driving according to the driving condition data of the vehicle driving, wherein the driving characteristic of the vehicle driving comprises at least one of a scene characteristic of the vehicle driving and an intention characteristic of the vehicle driving;
and determining the driving scene of the vehicle according to the driving characteristics of the driving of the vehicle.
3. The method according to claim 1 or 2, wherein the outputting multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle comprises:
obtaining a content label matched with the driving scene of the vehicle according to the driving scene of the vehicle;
and outputting the multimedia data with the content label.
4. The method of claim 3, wherein prior to outputting the multimedia data with the content tag, further comprising:
according to the recommendable multimedia data, obtaining a content tag of each multimedia data in the recommendable multimedia data.
5. The method according to any one of claims 1 to 4, wherein after outputting the multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle, further comprising:
and adjusting the matching strategy of the multimedia data and the driving scene of the vehicle in response to the operation of the user on the vehicle based on the output multimedia data.
6. A pushing apparatus of multimedia data, comprising:
an acquisition unit configured to acquire travel condition data on travel of a vehicle, the travel condition data including at least one of travel state data, travel environment data, and travel time data;
the determining unit is used for determining a driving scene of the vehicle according to the driving condition data of the driving of the vehicle;
and the output unit is used for outputting the multimedia data matched with the driving scene of the vehicle according to the driving scene of the vehicle.
7. The apparatus of claim 6, wherein the determination unit is specifically configured to
Obtaining a driving characteristic of the vehicle driving according to the driving condition data of the vehicle driving, wherein the driving characteristic of the vehicle driving comprises at least one of a scene characteristic of the vehicle driving and an intention characteristic of the vehicle driving; and
and determining the driving scene of the vehicle according to the driving characteristics of the driving of the vehicle.
8. The apparatus of claim 6 or 7, wherein the output unit is, in particular, for
Obtaining a content label matched with the driving scene of the vehicle according to the driving scene of the vehicle; and
and outputting the multimedia data with the content label.
9. The apparatus of claim 8, wherein the output unit is further configured to
According to the recommendable multimedia data, obtaining a content tag of each multimedia data in the recommendable multimedia data.
10. The apparatus according to any one of claims 6-9, wherein the output unit is further configured to
And adjusting the matching strategy of the multimedia data and the driving scene of the vehicle in response to the operation of the user on the vehicle based on the output multimedia data.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.
13. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-5.
CN202111459404.3A 2021-12-02 2021-12-02 Multimedia data pushing method and device, electronic equipment and readable storage medium Pending CN114390071A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111459404.3A CN114390071A (en) 2021-12-02 2021-12-02 Multimedia data pushing method and device, electronic equipment and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111459404.3A CN114390071A (en) 2021-12-02 2021-12-02 Multimedia data pushing method and device, electronic equipment and readable storage medium

Publications (1)

Publication Number Publication Date
CN114390071A true CN114390071A (en) 2022-04-22

Family

ID=81195260

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111459404.3A Pending CN114390071A (en) 2021-12-02 2021-12-02 Multimedia data pushing method and device, electronic equipment and readable storage medium

Country Status (1)

Country Link
CN (1) CN114390071A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105245956A (en) * 2015-09-30 2016-01-13 上海车音网络科技有限公司 Audio and video data recommendation method, device and system
CN109120653A (en) * 2017-06-22 2019-01-01 阿里巴巴集团控股有限公司 A kind of multi-medium data recommended method and device
CN109325142A (en) * 2018-09-13 2019-02-12 上海擎感智能科技有限公司 A kind of song recommendations method based on vehicle running environment
US20190251759A1 (en) * 2016-06-30 2019-08-15 The Car Force Inc. Vehicle data aggregation and analysis platform providing dealership service provider dashboard
CN110300175A (en) * 2019-07-02 2019-10-01 腾讯科技(深圳)有限公司 Information push method, device, storage medium and server
CN112417204A (en) * 2020-12-16 2021-02-26 吉林大学 Music recommendation system based on real-time road conditions
US20210191395A1 (en) * 2019-12-20 2021-06-24 Waymo Llc Vehicle Intent Prediction Neural Network

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105245956A (en) * 2015-09-30 2016-01-13 上海车音网络科技有限公司 Audio and video data recommendation method, device and system
US20190251759A1 (en) * 2016-06-30 2019-08-15 The Car Force Inc. Vehicle data aggregation and analysis platform providing dealership service provider dashboard
CN109120653A (en) * 2017-06-22 2019-01-01 阿里巴巴集团控股有限公司 A kind of multi-medium data recommended method and device
CN109325142A (en) * 2018-09-13 2019-02-12 上海擎感智能科技有限公司 A kind of song recommendations method based on vehicle running environment
CN110300175A (en) * 2019-07-02 2019-10-01 腾讯科技(深圳)有限公司 Information push method, device, storage medium and server
US20210191395A1 (en) * 2019-12-20 2021-06-24 Waymo Llc Vehicle Intent Prediction Neural Network
CN112417204A (en) * 2020-12-16 2021-02-26 吉林大学 Music recommendation system based on real-time road conditions

Similar Documents

Publication Publication Date Title
CN112050824B (en) Route planning method, device and system for vehicle navigation and electronic equipment
CN113920307A (en) Model training method, device, equipment, storage medium and image detection method
CN113899381B (en) Method, apparatus, device, medium, and product for generating route information
CN113569911A (en) Vehicle identification method and device, electronic equipment and storage medium
CN113139139A (en) Method, apparatus, electronic device, and medium for determining boarding point
CN111625724A (en) Information processing method, information processing device, electronic equipment and storage medium
CN113656523B (en) Destination arrival prompting method and device, electronic equipment and storage medium
CN114390071A (en) Multimedia data pushing method and device, electronic equipment and readable storage medium
CN113344121B (en) Method for training a sign classification model and sign classification
CN115439815A (en) Driving condition identification method, device, equipment, medium and vehicle
CN115331048A (en) Image classification method, device, equipment and storage medium
CN115062240A (en) Parking lot sorting method and device, electronic equipment and storage medium
CN114491269A (en) Recommendation method, device, equipment and medium for travel service
CN114428917A (en) Map-based information sharing method, map-based information sharing device, electronic equipment and medium
CN113032681A (en) Method, apparatus, electronic device, and medium for map search
CN113946729A (en) Data processing method and device for vehicle, electronic equipment and medium
CN111753960A (en) Model training and image processing method and device, electronic equipment and storage medium
CN113868532B (en) Location recommendation method and device, electronic equipment and storage medium
CN113823109B (en) Live broadcast method and device, electronic equipment and storage medium
CN117615363B (en) Method, device and equipment for analyzing personnel in target vehicle based on signaling data
CN114093170B (en) Generation method, system and device of annunciator control scheme and electronic equipment
CN113947897B (en) Method, device and equipment for acquiring road traffic condition and automatic driving vehicle
CN114383600B (en) Processing method and device for map, electronic equipment and storage medium
CN115031750B (en) Method, device and computer program product for determining state of blocked road section
CN115718789A (en) Scene information determination method and device and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination