Video generation method and device, electronic equipment and medium

Abstract

The invention provides a video generation method and device, electronic equipment and a medium, and relates to the field of data processing, in particular to the field of video processing. The method comprises the following steps: acquiring video materials associated with a user; obtaining user characteristics associated with the user; generating a personal business card video of the user based on the video material and the user characteristics; and displaying the personal business card video on the personal homepage of the user.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, in particular to video processing, and specifically to a video generation method, device, electronic device, computer-readable storage medium, and computer program product. Background Art

[0002] With the popularity of social networks and video apps, users are paying more and more attention to the display of their personal image. However, traditional personal introduction methods mainly rely on text or pictures, and the content and information displayed are limited.

[0003] The methods described in this section are not necessarily methods that have been previously conceived or employed. Unless otherwise indicated, it should not be assumed that any method described in this section is considered to be prior art simply because it is included in this section. Similarly, unless otherwise indicated, the issues mentioned in this section should not be considered to have been recognized in any prior art. Summary of the invention

[0004] The present disclosure provides a video generation method, apparatus, electronic device, computer-readable storage medium, and computer program product.

[0005] According to one aspect of the present disclosure, a video generation method is provided, including: obtaining video material associated with a user; obtaining user characteristics associated with the user; generating a personal business card video of the user based on the video material and the user characteristics; and displaying the personal business card video on the user's personal homepage.

[0006] According to another aspect of the present disclosure, a video generating device is provided, including: a video material acquiring unit, used to acquire video material associated with a user; a user characteristic acquiring unit, used to acquire user characteristics associated with the user; a video generating unit, used to generate a personal business card video of the user based on the video material and the user characteristics; and a display unit, used to display the personal business card video on the user's personal homepage.

[0007] According to another aspect of the present disclosure, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a video generation method according to one or more embodiments of the present disclosure.

[0008] According to another aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to cause the computer to execute the video generating method according to one or more embodiments of the present disclosure.

[0009] According to another aspect of the present disclosure, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, the video generating method according to one or more embodiments of the present disclosure is implemented.

[0010] According to one or more embodiments of the present disclosure, a more personalized and convenient personal image display can be achieved.

[0011] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The accompanying drawings exemplarily illustrate the embodiments and constitute a part of the specification, and together with the text description of the specification, are used to explain the exemplary implementation of the embodiments. The embodiments shown are for illustrative purposes only and do not limit the scope of the claims. In all drawings, the same reference numerals refer to similar but not necessarily identical elements.

[0013] Figure 1 A schematic diagram showing an exemplary system in which the various methods described herein may be implemented according to an embodiment of the present disclosure;

[0014] Figure 2 A flow chart of a video generation method according to an embodiment of the present disclosure is shown;

[0015] Figure 3 A structural block diagram of a video generating device according to an embodiment of the present disclosure is shown;

[0016] Figure 4 A structural block diagram of an exemplary electronic device that can be used to implement the embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0017] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope of the present disclosure. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0018] In the present disclosure, unless otherwise specified, the use of the terms "first", "second", etc. to describe various elements is not intended to limit the positional relationship, timing relationship, or importance relationship of these elements, and such terms are only used to distinguish one element from another element. In some examples, the first element and the second element may refer to the same instance of the element, and in some cases, based on the description of the context, they may also refer to different instances.

[0019] The terms used in the description of various examples in this disclosure are only for the purpose of describing specific examples and are not intended to be limiting. Unless the context clearly indicates otherwise, if the number of elements is not specifically limited, the element can be one or more. In addition, the term "and / or" used in this disclosure covers any one of the listed items and all possible combinations.

[0020] The embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0021] Figure 1 FIG. 1 is a schematic diagram of an exemplary system 100 in which various methods and apparatuses described herein may be implemented according to an embodiment of the present disclosure. Figure 1 , the system 100 includes one or more client devices 101, 102, 103, 104, 105, and 106, a server 120, and one or more communication networks 110 coupling the one or more client devices to the server 120. The client devices 101, 102, 103, 104, 105, and 106 may be configured to execute one or more applications.

[0022] In an embodiment of the present disclosure, the server 120 may run one or more services or software applications that enable execution of the video generation method according to the present disclosure.

[0023] In some embodiments, server 120 may also provide other services or software applications, which may include non-virtualized environments and virtualized environments. In some embodiments, these services may be provided as web-based services or cloud services, such as provided to users of client devices 101, 102, 103, 104, 105, and / or 106 under a software as a service (SaaS) model.

[0024] exist Figure 1In the configuration shown, the server 120 may include one or more components that implement the functions performed by the server 120. These components may include software components, hardware components, or a combination thereof that can be executed by one or more processors. Users operating client devices 101, 102, 103, 104, 105, and / or 106 may in turn utilize one or more client applications to interact with the server 120 to utilize the services provided by these components. It should be understood that a variety of different system configurations are possible, which may differ from the system 100. Therefore, Figure 1 is one example of a system for implementing the various methods described herein and is not intended to be limiting.

[0025] A user may use client devices 101, 102, 103, 104, 105 and / or 106 to view, upload, edit personal business card videos, etc. The client device may provide an interface that enables a user of the client device to interact with the client device. The client device may also output information to the user via the interface. Figure 1 Only six client devices are depicted, but one skilled in the art will appreciate that the present disclosure may support any number of client devices.

[0026] Client devices 101, 102, 103, 104, 105 and / or 106 may include various types of computer devices, such as portable handheld devices, general-purpose computers (such as personal computers and laptop computers), workstation computers, wearable devices, smart screen devices, self-service terminal devices, service robots, game systems, thin clients, various messaging devices, sensors or other sensing devices, etc. These computer devices may run various types and versions of software applications and operating systems, such as MICROSOFT Windows, APPLE iOS, UNIX-like operating systems, Linux or Linux-like operating systems (such as GOOGLE Chrome OS); or include various mobile operating systems, such as MICROSOFT Windows Mobile OS, iOS, Windows Phone, Android. Portable handheld devices may include cellular phones, smart phones, tablet computers, personal digital assistants (PDAs), etc. Wearable devices may include head-mounted displays (such as smart glasses) and other devices. Game systems may include various handheld game devices, Internet-enabled game devices, etc. Client devices are capable of executing various different applications, such as various Internet-related applications, communication applications (such as email applications), short message service (SMS) applications, and may use various communication protocols.

[0027] The network 110 may be any type of network known to those skilled in the art that may support data communications using any of a variety of available protocols, including but not limited to TCP / IP, SNA, IPX, etc. By way of example only, the one or more networks 110 may be a local area network (LAN), an Ethernet-based network, a token ring, a wide area network (WAN), the Internet, a virtual network, a virtual private network (VPN), an intranet, an extranet, a blockchain network, a public switched telephone network (PSTN), an infrared network, a wireless network (e.g., Bluetooth, WIFI), and / or any combination of these and / or other networks.

[0028] Server 120 may include one or more general purpose computers, dedicated server computers (e.g., PC (personal computer) servers, UNIX servers, mid-range servers), blade servers, mainframe computers, server clusters, or any other suitable arrangement and / or combination. Server 120 may include one or more virtual machines running virtual operating systems, or other computing architectures involving virtualization (e.g., one or more flexible pools of logical storage devices that may be virtualized to maintain a server's virtual storage device). In various embodiments, server 120 may run one or more services or software applications that provide the functionality described below.

[0029] The computing units in the server 120 may run one or more operating systems including any of the above operating systems and any commercially available server operating systems. The server 120 may also run any of a variety of additional server applications and / or middle-tier applications, including HTTP servers, FTP servers, CGI servers, JAVA servers, database servers, etc.

[0030] In some implementations, server 120 may include one or more applications to analyze and consolidate data feeds and / or event updates received from users of client devices 101, 102, 103, 104, 105, and 106. Server 120 may also include one or more applications to display data feeds and / or real-time events via one or more display devices of client devices 101, 102, 103, 104, 105, and 106.

[0031] In some embodiments, the server 120 may be a server of a distributed system, or a server combined with a blockchain. The server 120 may also be a cloud server, or an intelligent cloud computing server or intelligent cloud host with artificial intelligence technology. A cloud server is a host product in a cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and virtual private servers (VPS) services.

[0032] The system 100 may also include one or more databases 130. In some embodiments, these databases may be used to store data and other information. For example, one or more of the databases 130 may be used to store information such as audio files and video files. The databases 130 may reside in various locations. For example, the database used by the server 120 may be local to the server 120, or may be remote from the server 120 and may communicate with the server 120 via a network-based or dedicated connection. The databases 130 may be of different types. In some embodiments, the databases used by the server 120 may be, for example, relational databases. One or more of these databases may store, update, and retrieve data to and from the databases in response to commands.

[0033] In some embodiments, one or more of the databases 130 may also be used by applications to store application data. The databases used by the applications may be different types of databases, such as a key-value store, an object store, or a conventional store backed by a file system. Figure 1 The system 100 may be configured and operated in various ways to enable the application of various methods and apparatuses described in the present disclosure.

[0034] Reference below Figure 2 A video generating method 200 according to an exemplary embodiment of the present disclosure is described.

[0035] In step S201, video material associated with a user is obtained.

[0036] In step S202, user characteristics associated with the user are obtained.

[0037] In step S203, a personal business card video of the user is generated based on the video material and the user characteristics.

[0038] In step S204, the personal business card video is displayed on the user's personal homepage.

[0039] According to the method described in the embodiment of the present disclosure, the user's personal image can be better displayed on the personal homepage, achieving a more personalized and convenient personal image display.

[0040] Traditional personal introduction methods mainly rely on text or pictures, and lack personal business card videos on personal homepages with video images. According to the embodiments of the present disclosure, a personal introduction video can be generated and uploaded to the personal homepage for others to view, thereby achieving a more personalized and convenient personal image display and improving user experience.

[0041] According to some embodiments, the user characteristics include user tags.

[0042] For example, the user characteristics may be personal labels, such as personal image labels that may indicate personality characteristics, quality information, preferences, hobbies, and the like.

[0043] It is understandable that throughout the embodiments of obtaining and using user-related information mentioned in this disclosure, the acquisition of user information, characteristics, etc. is made known to the user and the user's consent is obtained.

[0044] According to some embodiments, generating the personal business card video of the user based on the video material and the user characteristics includes generating the personal business card video through a pre-trained model, wherein the pre-trained model is pre-trained based on sample labels and associated sample videos.

[0045] The pre-trained model can learn the association between the video and personal characteristics (personal tags), which is conducive to generating a personal business card video that is more suitable for showing the user's personal image.

[0046] According to some embodiments, before generating the personal business card video of the user based on the video material and the user characteristics, the method may also include receiving a user characteristic tag selected by the user from a plurality of user characteristic tags as the user characteristic of the user before generating the personal business card video of the user.

[0047] In such an embodiment, multiple tags can be provided to the user for selection, thereby generating a personal business card video that meets the user's needs, so that the personal business card video can better reflect the user's personal characteristics, improve the user characteristics that can be displayed on the personal homepage, and enhance the user experience.

[0048] According to some embodiments, obtaining video material associated with a user includes obtaining the video material input by the user.

[0049] By generating videos based on various materials uploaded by users, users can generate personal introduction videos through simple input and upload them to their personal homepage for others to view, thus achieving a more personalized and convenient personal image display.

[0050] According to some embodiments, each of the video materials includes at least one of the following: video material, picture material, text material, and voice material.

[0051] As a result, videos can be generated based on a variety of material forms, which can simplify user operations on the one hand, and on the other hand, can comprehensively display the user's image characteristics in multiple aspects based on the different content forms carried by different materials, thereby better displaying the user's personal characteristics on the personal homepage and improving the user experience.

[0052] According to one or more embodiments of the present disclosure, a video of a user's personal image can be generated based on materials uploaded by the user for display in a personal center.

[0053] According to one or more embodiments of the present disclosure, a method and system for generating a personal video business card based on AI is provided. A user can input information such as video, picture, text, voice, etc. through simple operations. The system automatically generates a personal introduction video through AI technology and uploads it to the personal homepage for others to view, thereby achieving a more personalized and convenient personal image display.

[0054] With the popularity of social networks and video apps, users are paying more and more attention to the display of their personal image. Traditional personal introduction methods mainly rely on text or pictures. It is not only time-consuming for users to manually make personal introduction videos, but also technically difficult for most users. At present, there is a lack of a simple and efficient tool on the market that allows users to quickly generate personal video business cards and display them on their personal homepages.

[0055] According to one or more embodiments of the present disclosure, a more personalized and convenient personal image display can be achieved.

[0056] The following introduces an exemplary front-end application process design according to an embodiment of the present disclosure.

[0057] The following user interface design can be adopted. Users enter the personal video business card generation interface through the personal center entrance of the video app. The interface can provide multiple input options, including video, picture, text, voice, etc. For example, each input item provides upload and edit functions, and users can choose to upload new content or use existing materials for editing.

[0058] For multimedia information input and management, users can input or select various media information such as video, picture, text, voice, etc. Each type of media information has corresponding upload and preview functions, and users can check the accuracy and applicability of the content before uploading. The system provides automatic saving and management functions, allowing users to interrupt the operation at any time and continue editing later.

[0059] The function of intelligent generation and preview can be provided. For example, the user can click the intelligent generation button after entering the information. After receiving the user's button input, the information entered by the user can be processed by the AI ​​algorithm to generate a personal introduction video.

[0060] After the video is generated, the user can preview the video effect. For example, editing suggestions and automatic optimization options can also be provided to further improve the video quality.

[0061] For video uploading and display, after the user confirms the generated video, the system can automatically upload the video to the user's personal homepage. Thus, when other users visit the personal homepage, they can directly view the personal video business card. Exemplarily, the video sharing and commenting functions can also be supported.

[0062] The functions of an exemplary AI video generation module are introduced below. The video generation module may include multimedia information analysis and processing functions, multimodal information fusion functions, video generation and optimization functions, and personalized recommendation and generation functions.

[0063] Multimedia information analysis and processing functions may include video processing, image processing, text processing, and voice processing.

[0064] Video processing can include analyzing videos uploaded by users through AI algorithms, classifying and editing video materials through scene recognition and character recognition, extracting key frames and highlight clips, etc.

[0065] Image processing can include using image recognition technology, AI to automatically adjust the image size, color and brightness, and use the image as an illustration or background material in the video. In addition, it can generate a picture slide show effect based on the text or voice input by the user.

[0066] Text processing may include converting text content into subtitles, titles or guide words through natural language processing (NLP) technology and embedding them into the video, thereby ensuring the clarity and fluency of information transmission.

[0067] Voice processing can include using speech recognition (ASR) technology to convert speech into text, and extracting information such as emotion and speech speed through voice analysis. In addition, appropriate background music and video rhythm can be matched based on the results of the emotional analysis of the voice content.

[0068] Multimodal information fusion functions can include time synchronization and content association. Time synchronization can include synchronizing video, pictures, text and voice information according to the timeline through AI algorithms to ensure that the video content is coherent and the rhythm is reasonable. Content association can include identifying the correlation between multimedia information through semantic analysis technology, intelligently adjusting video content, and ensuring the consistency of vision, hearing and information transmission.

[0069] Video generation and optimization functions may include video synthesis and image and sound quality optimization. Video synthesis may include synthesizing (e.g., AI automatic synthesis) the final video file after processing and fusing all input information. For example, processing may include video editing, subtitle generation, background music addition, etc. Image and sound quality optimization may include using image enhancement algorithms to improve the image quality of the video, and optimizing the sound quality through audio processing technology to ensure that the generated video has a good viewing experience.

[0070] Personalized recommendation and generation functions may include: template and style selection and background music and special effects matching.

[0071] Template and style selection can include recommending different video templates and styles based on user input and preferences. Users can select a template or AI can automatically select the most suitable style for video generation. Background music and special effects matching can include automatically matching background music and video special effects based on video content and user voice emotions to enhance the emotional expression and viewing experience of the video.

[0072] According to one or more embodiments of the present disclosure, intelligent generation and preview as well as video upload and display can be provided. After the user enters information, a personal introduction video is intelligently generated, and after the video is generated, the user can preview the video effect, and the video quality can be further improved through editing suggestions and automatic optimization options. In addition, after the user confirms the generated video, the system will automatically upload the video to the user's personal homepage. When other users visit the personal homepage, they can directly view the personal video business card. The system also supports video sharing and commenting functions.

[0073] According to one or more embodiments of the present disclosure, the operation is simple: the user does not need to have professional video editing skills, and can generate a video by simply inputting basic information.

[0074] According to one or more embodiments of the present disclosure, personalized display of user business card information is achieved: through AI technology, video content can fully reflect the user's personality and style.

[0075] According to one or more embodiments of the present disclosure, the interaction between users can be enhanced and user satisfaction can be improved. Personal video business cards can effectively increase the interaction between users and strengthen social connections.

[0076] According to one or more embodiments of the present disclosure, efficient generation of videos, especially personal business card videos, is achieved. The AI ​​automated processing provided by the solution of the present disclosure can significantly reduce the time and energy invested by users in making videos.

[0077] According to one or more embodiments of the present disclosure, it is applicable to the application scenario of generating personal videos to personal centers. As a specific embodiment, the prompt information (prompt) provided to the model can focus on the video showing the personal image, and pay attention to the display of personal information. For example, when pre-training the model, the material of the personal high-quality image can be displayed.

[0078] For example, it can come from the material provided by the user himself, based on the user's characteristics, according to some personal labels, such as sunny, intelligent, lively, optimistic, kind, etc., for example, it can provide the user with or let the user choose which direction they want to adjust, for example, according to the preference, hobby, personal image label, increase the weight of AI generation. In this way, it can accurately show the personal image consistent with the user's characteristics and improve the user experience.

[0079] According to some optional embodiments, the model can be further optimized using feedback information, for example, clicks and play completion (play completion rate) can be collected and fed back to the model for further optimization.

[0080] Reference now Figure 3 The video generating device 300 according to an embodiment of the present disclosure is described. The video generating device 300 may include a video material acquiring unit 301, a user characteristic acquiring unit 302, a video generating unit 303, and a display unit 304. The video material acquiring unit 301 may be used to acquire video material associated with a user; the user characteristic acquiring unit 302 may be used to acquire user characteristics associated with the user. The video generating unit 303 may be used to generate a personal business card video of the user based on the video material and the user characteristics. The display unit 304 may be used to display the personal business card video of the user on the personal homepage of the user.

[0081] According to the device described in the embodiment of the present disclosure, a more personalized and convenient personal image display can be achieved.

[0082] According to some embodiments, the user characteristic comprises a user characteristic tag.

[0083] According to some embodiments, the video material acquisition unit includes a unit for generating the personal business card video through a pre-trained model, wherein the pre-trained model is pre-trained based on sample labels and associated sample videos.

[0084] According to some embodiments, the apparatus may further include a unit for receiving a user characteristic tag selected by the user from a plurality of user characteristic tags as the user characteristic of the user before generating the personal business card video of the user.

[0085] According to some embodiments, the video material acquisition unit includes a unit for acquiring the video material input by the user.

[0086] According to some embodiments, each of the video materials is selected from the group consisting of: video, picture, text, and voice.

[0087] In the technical solution disclosed herein, the collection, acquisition, storage, use, processing, transmission, provision and public application of user personal information involved are in compliance with the relevant laws and regulations and do not violate public order and good morals.

[0088] According to an embodiment of the present disclosure, an electronic device, a readable storage medium and a computer program product are also provided.

[0089] refer to Figure 4 , a block diagram of an electronic device 400 that can be used as a server or client of the present disclosure will now be described, which is an example of a hardware device that can be applied to various aspects of the present disclosure. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0090] like Figure 4 As shown, the electronic device 400 includes a computing unit 401, which 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, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0091] Multiple components in the electronic device 400 are connected to the I / O interface 405, including: an input unit 406, an output unit 407, a storage unit 408, and a communication unit 409. The input unit 406 can be any type of device that can input information to the electronic device 400. The input unit 406 can receive input digital or character information and generate key signal input related to user settings and / or function control of the electronic device, and can include but is not limited to a mouse, a keyboard, a touch screen, a track pad, a track ball, a joystick, a microphone, and / or a remote controller. The output unit 407 can be any type of device that can present information, and can include but is not limited to a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 408 can include but is not limited to a disk, an optical disk. The communication unit 409 allows the electronic device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks, and can include but is not limited to a modem, a network card, an infrared communication device, a wireless communication transceiver, and / or a chipset, such as a Bluetooth device, an 802.11 device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0092] The computing unit 401 may be a variety of general and / or special 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, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 401 performs the various methods and processes described above, such as method 200 and its variants, etc. For example, in some embodiments, method 200 and its variants, etc. may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the method 200 and its variants, etc. described above may be executed. Alternatively, in other embodiments, the computing unit 401 may be configured to execute the method 200 and its variations, etc., in any other appropriate manner (eg, by means of firmware).

[0093] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0094] The program code for implementing the method 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, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0095] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A 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, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0096] To provide interaction with a user, the systems and techniques described herein 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 the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the 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 can be received in any form (including acoustic input, voice input, or tactile input).

[0097] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0098] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0099] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0100] Although the embodiments or examples of the present disclosure have been described with reference to the accompanying drawings, it should be understood that the above-mentioned methods, systems and devices are merely exemplary embodiments or examples, and the scope of the present invention is not limited by these embodiments or examples, but only by the claims after authorization and their equivalent scope. Various elements in the embodiments or examples can be omitted or replaced by their equivalent elements. In addition, each step can be performed in an order different from that described in the present disclosure. Further, the various elements in the embodiments or examples can be combined in various ways. It is important that with the evolution of technology, many elements described herein can be replaced by equivalent elements that appear after the present disclosure.

Claims

1. A video generation method, include: Get video material associated with the user; obtaining user characteristics associated with the user; Generate a personal business card video of the user based on the video material and the user characteristics; as well as The personal business card video is displayed on the user's personal homepage.

2. The method according to claim 1, in, The user characteristics include user tags.

3. The method according to claim 2, in, The generating the user's personal business card video based on the video material and the user characteristics includes: The personal business card video is generated by a pre-trained model, where the pre-trained model is pre-trained based on sample labels and associated sample videos.

4. The method according to any one of claims 1 to 3, in, The obtaining of video material associated with the user includes: The input video material is obtained.

5. The method according to any one of claims 1 to 4, in, The video material includes at least one of the following: video material, picture material, text material, and voice material.

6. A video generating device, include: A video material acquisition unit, used to acquire video material associated with the user; A user characteristic acquisition unit, configured to acquire user characteristics associated with the user; A video generation unit, configured to generate a personal business card video of the user based on the video material and the user characteristics; as well as A display unit is used to display the personal business card video on the user's personal homepage.

7. The device according to claim 6, in, The user characteristics include user characteristic tags.

8. The device according to claim 7, in, The video material acquisition unit includes a unit for generating the personal business card video through a pre-trained model, wherein the pre-trained model is pre-trained based on sample labels and associated sample videos.

9. The device according to any one of claims 6 to 8, in, The video material acquisition unit includes a unit for acquiring the video material input by the user.

10. The device according to any one of claims 6 to 9, in, The video material includes at least one of the following: video material, picture material, text material, and voice material.

11. An electronic device, include: at least one processor; as well as a memory communicatively coupled to the at least one processor; in The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the method according to any one of claims 1 to 5.

12. A non-transitory computer-readable storage medium storing computer instructions, in, The computer instructions are used to cause the computer to execute the method according to any one of claims 1-5.

13. A computer program product comprising a computer program, in, When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

Images