CN116614382A

CN116614382A - Method and device for obtaining model in meta-universe environment

Info

Publication number: CN116614382A
Application number: CN202210120865.6A
Authority: CN
Inventors: 韩书君; 陈德程; 董辰; 许晓东; 王碧舳
Original assignee: Beijing University of Posts and Telecommunications
Current assignee: Beijing University of Posts and Telecommunications
Priority date: 2022-02-09
Filing date: 2022-02-09
Publication date: 2023-08-18

Abstract

The disclosure provides a method and a device for acquiring a model in a metauniverse environment, relates to the field of metauniverse, and particularly relates to a method and a device for acquiring a model in a metauniverse environment, electronic equipment and a storage medium. The specific implementation scheme is as follows: the method for obtaining the model in the meta-universe environment by the user comprises the following steps: acquiring a first parameter of the user in response to the user being in a meta-universe environment; according to the first parameter, analyzing a model required by the user; the first data nodes around the user acquire the needed model; the user obtains the required model through the first data node around the user. According to the technical scheme, congestion of a communication network is reduced, and the transmission efficiency of a model is improved.

Description

Method and device for obtaining model in meta-universe environment

Technical Field

The present disclosure relates to the field of metauniverse technologies, and in particular, to a method, an apparatus, an electronic device, and a storage medium for acquiring a model in a metauniverse environment.

Background

In the meta-universe, with the explosive development of the meta-universe, an artificial intelligent model to be transmitted will be exploded, and the traditional transmission method of the artificial intelligent model cannot meet the performance requirements such as instantaneity, because the number of models is exploded, the loads of a central server and a network are limited, and the transmission of the meta-universe model is necessarily influenced by the load condition of an Internet link easily, so that the instantaneity of the transmission cannot be ensured, and the experience of a meta-universe user cannot be ensured.

Disclosure of Invention

The present disclosure provides a method, apparatus, device, and storage medium for reducing transmission delay, ensuring that a user of a metauniverse user's experience obtains a model in a metauniverse environment.

According to a first aspect of the present disclosure, there is provided a method for obtaining a model in a metauniverse environment, comprising:

acquiring a first parameter of a user in response to the user being in a meta-universe environment;

according to the first parameter, analyzing a model required by the user;

the first data nodes around the user acquire the needed model;

the user obtains the required model through the first data node around the user.

Preferably, the obtaining the first parameter of the user includes: and acquiring the first parameter of the user through the social cameras around the user, or acquiring the first parameter of the user through the meta-space equipment worn by the user.

Preferably, the first data node around the user obtains the required model, including:

the first data node sends the number of the needed model to a transmission management module;

the transmission management module sends a request to a second data node around the first data node according to the number of the needed model;

in response to the second data node having the required model, the first data node obtains the required model.

Preferably, the method further comprises:

and the user analyzes the acquired needed model and uses the analyzed model in a meta-universe environment of the user.

Preferably, the user parses the acquired required model, including:

decompressing and/or slicing and fusing the needed model to obtain the analyzed model.

Preferably, the first parameter includes: the location of the user, the image of the user and/or the behavioral data of the user.

According to a second aspect of the present disclosure, there is also provided a method of obtaining a model in a metauniverse environment, comprising:

in response to a user's request, the metauniverse device issues a request for a first model to a third data node located around the user's perimeter or around a location the user is expected to reach, and a second parameter of the first model;

the third data node analyzes the second parameter and determines the first model;

the third data node acquires the first model;

the user obtains the first model through the third data node.

Preferably, the second parameter includes: classification of the model and/or size of the model.

According to a third aspect of the present disclosure, there is also provided an apparatus for acquiring a model in a metauniverse environment, including:

a first acquisition module: the method comprises the steps of responding to a user in a meta-universe environment, and acquiring a first parameter of the user;

a first analysis module: the method comprises the steps of analyzing a model required by the user according to the first parameter;

and a second acquisition module: the first data node used for the periphery of the user acquires the needed model;

and a third acquisition module: for the user to obtain the required model via the peripheral first data node.

Preferably, the second obtaining module includes:

a first sending module: the first data node is used for sending the number of the needed model to a transmission management module;

and a second sending module: the transmission management module is used for sending a request to a second data node around the first data node according to the number of the needed model;

a fourth acquisition module: for the first data node to obtain the required model in response to the second data node having the required model.

Preferably, the method further comprises:

and an analysis module: and analyzing the acquired needed model by the user, and using the analyzed model in a meta-universe environment of the user.

Preferably, the user parses the acquired required model, including:

According to a fourth aspect of the present disclosure, there is also provided an apparatus for acquiring a model in a metauniverse environment, including:

and a third sending module: a request for a first model, and a second parameter of the first model, to a third data node located in the vicinity of the user or in the vicinity of a place the user is expected to reach, in response to a request from the user;

a second analysis module: analyzing the second parameters for the third data node and determining the first model;

and a fifth acquisition module: the third data node is used for acquiring the first model;

a sixth acquisition module: and the user is used for acquiring the first model through the third data node.

According to a fifth aspect of the present disclosure, there is also provided an electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

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 the above claims.

According to a sixth aspect of the present disclosure, there is also provided a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method according to any one of the above-mentioned technical solutions.

According to a seventh aspect of the present disclosure, there is also provided a computer program product comprising a computer program which, when executed by a processor, implements a method according to any of the above-mentioned technical solutions.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.

Drawings

The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is a schematic diagram of a first embodiment of a method of obtaining a model in a metauniverse environment in accordance with the present disclosure;

FIG. 2 is a schematic illustration of steps for a first data node around a user to obtain the required model according to the present disclosure;

FIG. 3 is a schematic diagram of a second embodiment of a method of obtaining a model in a metauniverse environment in accordance with the present disclosure;

FIG. 4 is a schematic diagram of a fourth embodiment of a method of obtaining a model in a metauniverse environment in accordance with the present disclosure;

FIG. 5 is a first schematic diagram of an apparatus for obtaining a model in a metauniverse environment in accordance with the present disclosure;

FIG. 6 is a schematic diagram of the construction of a second acquisition module according to the present disclosure;

FIG. 7 is a second schematic diagram of an apparatus for acquiring a model in a metauniverse environment in accordance with the present disclosure;

FIG. 8 is a schematic diagram of an apparatus for acquiring a model in a metauniverse environment in accordance with another aspect of the disclosure;

fig. 9 is a block diagram of an electronic device for implementing a method of obtaining a model in a metauniverse environment in accordance with an embodiment of the present disclosure.

Reference numerals illustrate:

3. device for obtaining model in meta-universe environment

301. First acquisition Module 302 first analysis Module

303. Second acquisition Module 304 third acquisition Module

305. Analysis module

3031. First transmission module 3032 second transmission module

3033. Fourth acquisition module

4. Device for obtaining model in another meta-universe environment

401. Third transmitting Module 402 second analysis Module

403. Fifth acquisition module 404 sixth acquisition module

Detailed Description

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one 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.

The intelligent network transmits service information mainly through an artificial intelligent model, and the first service information to be transmitted is compressed into second service information related to the artificial intelligent model through the artificial intelligent model, so that data traffic in the network is greatly reduced, and the compression efficiency is far higher than that of a traditional compression algorithm. The sending end equipment extracts the first service information by utilizing a preconfigured first model and obtains second service information to be transmitted; and the sending end equipment transmits the second service information to the receiving end equipment. The receiving terminal equipment receives the second service information and carries out recovery processing on the second service information by utilizing a second pre-configured model to obtain third service information; the third service information recovered by the second model has a slight quality difference compared with the original first service information, but the third service information and the first service information are consistent in content, and the experience of the user is almost unchanged. Before the sending end device transmits the second service information to the receiving end device, the method further comprises: the updating module judges whether the receiving end equipment needs to update the second model, and transmits a preconfigured third model to the receiving end equipment when judging that the second model needs to be updated, and the receiving end equipment updates the second model by using the third model. The service information is processed through the pre-trained artificial intelligent model, so that the data transmission quantity in the communication service can be obviously reduced, and the information transmission efficiency is greatly improved. These models are relatively stable and have reusability and transmissibility. The propagation and multiplexing of the model will help to enhance network intelligence while reducing overhead and resource waste. The model can be divided into a plurality of model slices according to different dividing rules, the model slices can be transmitted among different network nodes, and the model slices can be assembled into the model. Model slices may be stored scattered across multiple network nodes. When a network node requests to find itself missing or needing to update a model or a slice of a model, it may request from surrounding nodes that may have the slice by way of a request.

As shown in fig. 1, according to a first aspect of the present disclosure, there is provided a method for obtaining a model in a metauniverse environment, including:

s101: acquiring a first parameter of a user in response to the user being in a meta-universe environment; typically, the user is in a metauniverse environment, i.e., the user wears a metauniverse device; at this time, the metauniverse device obtains the first parameter of the user. The first parameter comprises the position of the user, the state of the user, the activity information of the user and the like; all information related to the user can be used as the first parameter.

S102: according to the first parameter, analyzing a model required by the user; according to the acquired first parameters, a model required by the meta-cosmic equipment worn by the user can be analyzed; the model is used for the meta-cosmic equipment, and can enhance the experience of a user using the meta-cosmic equipment. In this embodiment, the metauniverse device includes: glasses with Virtual Reality (VR) and Augmented Reality (AR) worn by a user; the glasses present the world in the meta-universe environment to the user; the model acquired by the glasses is used for processing various image, video, text and voice data in a meta-universe environment. According to the aforementioned smart network, the meta-universe device is a model for most of the data transmitted because it links the smart network. Because models are tools for processing various image, video, text, and speech data, a metauniverse device must acquire the appropriate models in order to efficiently process the various data.

S103: the first data nodes around the user acquire the needed model; the data node is a computing device which can transmit and receive data and process data and is interconnected and intercommunicated with other devices. The meta-cosmic equipment worn by the user is also a data node; when the metauniverse device worn by the user is in a networking state, the metauniverse device needs are acquired through communication with a first data node nearby the connection of the metauniverse device, and a model of experience of the user using the metauniverse can be met. In general, the first data node does not have all models capable of meeting the requirements of the meta-cosmic devices worn by the user, and the first data node is required to be acquired by other data nodes interconnected and intercommunicated with the first data node.

S104: the user obtains the required model through the first data node around the user. When the first data node has acquired enough models, it can be transmitted to the metauniverse device used by the user.

Preferably, the obtaining the first parameter of the user includes: and acquiring the first parameter of the user through the social cameras around the user, or acquiring the first parameter of the user through the meta-space equipment worn by the user. The meta-cosmic environment requires many sensors to coordinate implementation. For example, in a metauniverse environment, there are many cameras, including cameras carried by metauniverse devices themselves, and numerous social cameras deployed in real environments, which may be deployed at light poles, at high floors of buildings, at high points of communication base stations, etc. where street views may be overlooked, typically, users wearing metauniverse devices are within the view angle range of the social cameras. The social camera can acquire information such as the position of the user, the state of the user and the like. For example, the state of the user includes the gesture of the user, the moving speed of the user. By analyzing the gesture and speed of movement of the user, it is possible to determine what the user may be doing. For example, a user does not move at a certain place, but the posture of the body is similar to that of making a Tai Ji box, and the user can acquire the body through the combination of a social camera and a metauniverse device.

As shown in fig. 2, preferably, the first data node around the user obtains the required model, including:

s1031: the first data node sends the number of the needed model to a transmission management module; first, the first data node obtains the number of the model, not the model itself. The first data node knows the type, parameter and other data of the model required by the user according to the meta-cosmic equipment worn by the user, and then sends the number of the model to a transmission management module for managing model transmission;

s1032: the transmission management module sends a request to a second data node around the first data node according to the number of the needed model; the transmission management module only plays a role of managing module transmission. That is, the transmission management module sends a request to a second data node having an interworking relationship with the first data node around the first data node, requesting transmission of a certain model having a certain model number.

S1033: in response to the second data node having the required model, the first data node obtains the required model. When the second data node has a required model, the second data node sends the required model to the first data node. For example, when a user wearing the meta-cosmic equipment walks to an intersection of a certain street, a social camera of the intersection captures images and positions of the user; the day is the birthday of the user, and the meta-universe device acquires the birthday of the user, the preference of the user and other parameters; when the user walks to the intersection, the meta-universe device sets off fireworks for the user in the meta-universe environment, and celebrates the birthday of the user. The meta-cosmic equipment needs an environment module for setting off fireworks; the meta-cosmic equipment needs to send a request to a first data node which is interconnected and communicated with the meta-cosmic equipment, and the request is made to acquire an environment module for setting off fireworks; the first data node analyzes the number of the model for setting off fireworks and sends the number to the second data node; when the second data node has a model corresponding to the number for setting off fireworks, the model is sent to the first data node, and the first data node sends the model-requested meta-universe device.

As shown in fig. 3, preferably, the method further comprises:

s105: and the user analyzes the acquired needed model and uses the analyzed model in a meta-universe environment of the user. Typically, the required model is compressed, sliced, etc. during transmission to reduce the transmission pressure of the communication network. After the model reaches the destination, the needed model is parsed so as to be convenient for the meta-universe equipment of the user to use.

Preferably, the user parses the acquired required model, including:

decompressing and/or slicing and fusing the needed model to obtain the analyzed model. The parsed model may be used by the metauniverse device.

As shown in fig. 4, according to a second aspect of the present disclosure, there is also provided a method for obtaining a model in a metauniverse environment, including:

s201: in response to a user's request, the metauniverse device issues a request for a first model to a third data node located around the user's perimeter or around a location the user is expected to reach, and a second parameter of the first model; the user can actively request the required model. For example, when a user wearing a meta-cosmic device is on a soccer field, he wants to play a soccer game; the user may actively make a request to the metauniverse device asking the metauniverse device to provide a scene of the football game. At this time, the metauniverse device actively issues a request of the first model to a third data node around the user. In addition, when the user expects to arrive at a certain destination, a request of a first model, and a second parameter of the first model may be issued in advance to a third data node around the destination that arrives. For example, the user wants to reach a certain street intersection where the user wants to see a firework performance in a meta-universe environment; the metauniverse device sends a request for a firework performance model and a second parameter of the firework performance model to a third data node around the street intersection, and when the user arrives at the street intersection, the metauniverse device presents visual effects of the firework performance in the metauniverse environment.

S202: the third data node analyzes the second parameter and determines the first model;

s203: the third data node acquires the first model;

s204: the user obtains the first model through the third data node.

As shown in fig. 5, according to a third aspect of the present disclosure, there is also provided an apparatus 3 for acquiring a model in a metauniverse environment, including:

the first acquisition module 301: the method comprises the steps of responding to a user in a meta-universe environment, and acquiring a first parameter of the user;

the first analysis module 302: the method comprises the steps of analyzing a model required by the user according to the first parameter;

the second acquisition module 303: the first data node used for the periphery of the user acquires the needed model;

third acquisition module 304: for the user to obtain the required model via the peripheral first data node.

As shown in fig. 6, preferably, the second obtaining module 303 includes:

the first transmitting module 3031: the first data node is used for sending the number of the needed model to a transmission management module;

the second transmitting module 3032: the transmission management module is used for sending a request to a second data node around the first data node according to the number of the needed model;

fourth acquisition module 3033: for the first data node to obtain the required model in response to the second data node having the required model.

As shown in fig. 7, preferably, the method further comprises:

the parsing module 305: and analyzing the acquired needed model by the user, and using the analyzed model in a meta-universe environment of the user.

Preferably, the user parses the acquired required model, including:

As shown in fig. 8, according to a fourth aspect of the present disclosure, there is also provided an apparatus 4 for acquiring a model in a metauniverse environment, including:

third transmitting module 401: a request for a first model, and a second parameter of the first model, to a third data node located in the vicinity of the user or in the vicinity of a place the user is expected to reach, in response to a request from the user;

the second analysis module 402: analyzing the second parameters for the third data node and determining the first model;

a fifth acquisition module 403: the third data node is used for acquiring the first model;

a sixth acquisition module 404: and the user is used for acquiring the first model through the third data node.

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

In the technical scheme of the disclosure, the acquisition, storage, application and the like of the related user personal information all conform to the regulations of related laws and regulations, and the public sequence is not violated.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

Fig. 9 shows a schematic block diagram of an example electronic device 900 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, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 9, the apparatus 900 includes a computing unit 901 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 902 or a computer program loaded from a storage unit 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the device 900 can also be stored. The computing unit 901, the ROM 902, and the RAM 903 are connected to each other by a bus 904. An input/output (I/O) interface 905 is also connected to the bus 904.

Various components in device 900 are connected to I/O interface 905, including: an input unit 906 such as a keyboard, a mouse, or the like; an output unit 907 such as various types of displays, speakers, and the like; a storage unit 908 such as a magnetic disk, an optical disk, or the like; and a communication unit 909 such as a network card, modem, wireless communication transceiver, or the like. The communication unit 909 allows the device 900 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunications networks.

The computing unit 901 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 901 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 901 performs the respective methods and processes described above, for example, a method of acquiring a model in a metauniverse environment. For example, in some embodiments, the method of obtaining a model in a metauniverse environment may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 908. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 900 via the ROM 902 and/or the communication unit 909. When the computer program is loaded into RAM 903 and executed by the computing unit 901, one or more steps of the method of obtaining a model in a meta-cosmic environment described above may be performed. Alternatively, in other embodiments, computing unit 901 may be configured to perform the method of obtaining the model in the metauniverse environment in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. 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. The 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 pointing device (e.g., a mouse or 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 may 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 input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background 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 background, 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), and the internet.

The computer system may include a client and a server. The client and server are typically 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 may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.

The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims

1. A method for obtaining a model in a meta-cosmic environment, comprising:

according to the first parameter, analyzing a model required by the user;

the first data nodes around the user acquire the needed model;

2. The method of claim 1, wherein the obtaining the first parameter of the user comprises: and acquiring the first parameter of the user through the social cameras around the user, or acquiring the first parameter of the user through the meta-space equipment worn by the user.

3. The method of claim 1, wherein the first data node around the user obtains the required model, comprising:

4. The method as recited in claim 1, further comprising:

5. The method of claim 4, wherein the user parsing the acquired desired model comprises:

6. The method of claim 1, wherein the first parameter comprises: the location of the user, the image of the user and/or the behavioral data of the user.

7. A method for obtaining a model in a meta-cosmic environment, comprising:

the third data node acquires the first model;

the user obtains the first model through the third data node.

8. The method of claim 7, wherein the second parameter comprises: classification of the model and/or size of the model.

9. An apparatus for obtaining a model in a meta-universe environment, comprising:

10. The apparatus of claim 9, wherein the obtaining the first parameter of the user comprises: and acquiring the first parameter of the user through the social cameras around the user, or acquiring the first parameter of the user through the meta-space equipment worn by the user.

11. The apparatus of claim 9, wherein the second acquisition module comprises:

12. The apparatus as recited in claim 9, further comprising:

13. The apparatus of claim 12, wherein the user parsing the acquired desired model comprises:

14. The apparatus of claim 9, wherein the first parameter comprises: the location of the user, the image of the user and/or the behavioral data of the user.

15. An apparatus for obtaining a model in a meta-universe environment, comprising:

16. The apparatus of claim 15, wherein the second parameter comprises: classification of the model and/or size of the model.

17. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

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 1-8.

18. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-8.

19. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-8.