CN113015021A - Cloud game implementation method, device, medium and electronic equipment - Google Patents
Cloud game implementation method, device, medium and electronic equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/8166—Monomedia components thereof involving executable data, e.g. software
- H04N21/8173—End-user applications, e.g. Web browser, game
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/131—Protocols for games, networked simulations or virtual reality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/44012—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving rendering scenes according to scene graphs, e.g. MPEG-4 scene graphs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/462—Content or additional data management, e.g. creating a master electronic program guide from data received from the Internet and a Head-end, controlling the complexity of a video stream by scaling the resolution or bit-rate based on the client capabilities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4781—Games
Abstract
The disclosure provides a cloud game implementation method, a cloud game implementation device, a cloud game implementation medium and electronic equipment, and relates to the technical field of cloud industry application. The method comprises the following steps: before image rendering processing is carried out, determining a target resolution corresponding to a display picture of a target terminal; setting the resolution of the acquired image as a target resolution to obtain a target image; rendering based on the target image, and encoding the rendered target image to obtain a target video stream; and sending the target video stream to a target terminal to realize the running of the cloud game. According to the technical scheme, the situation that the display resolution ratio is inconsistent with the display resolution ratio when the cloud server renders the terminal can be avoided, so that computational resources required by the process of adjusting the display resolution ratio to the resolution ratio required by the terminal are saved.
Description
Technical Field
The disclosure relates to the technical field of cloud industry application, in particular to a cloud game implementation method, a cloud game implementation device, a computer-readable storage medium and an electronic device for implementing the method.
Background
Cloud gaming (Cloud gaming), also known as game on demand (gaming), is an online gaming technology based on Cloud computing technology. Cloud game technology enables light-end devices (thin clients) with relatively limited graphics processing and data computing capabilities to run high-quality games.
However, when the display resolution of the rendering process performed by the cloud server does not match the resolution required for the rendering process performed by the terminal, the display resolution needs to be adjusted to the resolution required for the rendering process performed by the terminal. However, the above process will result in a waste of computational resources.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure is directed to providing a cloud game implementation method, a cloud game implementation apparatus, an electronic device, and a computer-readable storage medium, which save computational resources to a certain extent.
According to one aspect of the present disclosure, a method for implementing a cloud game is provided, which is applied to a cloud server, and the method includes: before image rendering processing is carried out, determining a target resolution corresponding to a display picture of a target terminal; setting the resolution of the acquired image as the target resolution to obtain a target image; rendering the target image based on the target image, and encoding the rendered target image to obtain a target video stream; and sending the target video stream to the target terminal to realize the running of the cloud game.
According to an aspect of the present disclosure, an apparatus for implementing a cloud game is provided, configured on a cloud server, the apparatus including: the device comprises a resolution determination module, a resolution setting module, a video stream determination module and a video stream sending module.
Wherein the resolution determination module is configured to: before image rendering processing is carried out, determining a target resolution corresponding to a display picture of a target terminal; the resolution setting module is configured to: setting the resolution of the acquired image as the target resolution to obtain a target image; the video stream determination module is configured to: rendering the target image based on the target image, and encoding the rendered target image to obtain a target video stream; the video stream transmitting module is configured to: and sending the target video stream to the target terminal to realize the running of the cloud game.
In an exemplary embodiment, based on the foregoing scheme, the resolution determination module is specifically configured to: and receiving a picture display request containing the target resolution sent by the target terminal to obtain the target resolution.
In an exemplary embodiment, based on the foregoing scheme, the resolution determination module is specifically configured to: and determining an image quality influence factor according to the current game scene, and determining the target resolution according to the image quality influence factor.
In an exemplary embodiment, based on the foregoing solution, the resolution determination module includes: a first determination unit.
Wherein the first determination unit is configured to: acquiring a scene identifier corresponding to a current game scene and a terminal identifier of a target terminal displaying the current game scene; obtaining a game identifier corresponding to the current game scene according to the scene identifier; acquiring one or more of the following information of the target terminal according to the terminal identifier: the display screen information of the target terminal, the network delay factor related to the target terminal and the Bluetooth information of the target terminal; and determining the scene identifier, the game identifier and the information of the target terminal acquired according to the terminal identifier as the image quality influence factor.
In an exemplary embodiment, based on the foregoing solution, the apparatus further includes: and a model training module.
Wherein the model training module is configured to: acquiring N groups of sample data, wherein the ith group of sample data comprises: the method comprises the steps that a scene identification corresponding to an ith game scene, an identification of a terminal displaying the ith game scene and the resolution of the terminal when the ith game scene is displayed, wherein N is a positive integer, and i is a positive integer not greater than N; and training a resolution prediction model according to the N groups of sample data so that the trained resolution prediction model meets a preset model evaluation index, and determining the target resolution through the resolution prediction model.
In an exemplary embodiment, based on the foregoing solution, the resolution determining module further includes: a second determination unit.
Wherein the second determination unit is configured to: and inputting the image quality influence factor into the trained resolution prediction model, and determining the target resolution corresponding to the current game scene according to the output of the resolution prediction model.
In an exemplary embodiment, based on the foregoing scheme, the resolution setting module is specifically configured to: collecting an image related to a game picture from a video memory of an image processing unit, and acquiring the original resolution of the image; and changing the resolution of the image to the target resolution when the original resolution is not consistent with the target resolution.
In an exemplary embodiment, based on the foregoing scheme, the resolution setting module is further specifically configured to: and keeping the resolution of the image unchanged when the original resolution is consistent with the target resolution.
In an exemplary embodiment, based on the foregoing scheme, the resolution setting module determines a target interface according to an operating system to which the cloud server belongs; and adjusting the image with the initial resolution into a target image with the target resolution according to the target interface.
In an exemplary embodiment, based on the foregoing scheme, the video stream determination module is specifically configured to: and rendering the target image based on the image processing unit, and encoding the target image after the rendering processing based on the image processing unit to obtain a target video stream.
According to one aspect of the present disclosure, a method for implementing a cloud game is provided, which is applied to a terminal, and includes: before the cloud server carries out image rendering processing, determining a target resolution corresponding to a display picture of a target terminal, so that the cloud server sets the resolution of the acquired image to be the target resolution to obtain a target image, carrying out rendering processing on the cloud server based on the target image, and encoding the rendered target image to obtain a target video stream; and receiving the target video stream sent by the cloud server to realize the running of the cloud game.
According to an aspect of the present disclosure, there is provided an apparatus for implementing a cloud game, configured in a terminal, the apparatus including: the device comprises a sending module and a receiving module.
Wherein the sending module is configured to: before the cloud server carries out image rendering processing, determining a target resolution corresponding to a display picture of a target terminal, so that the cloud server sets the resolution of the acquired image to be the target resolution to obtain a target image, carrying out rendering processing on the cloud server based on the target image, and encoding the rendered target image to obtain a target video stream; the receiving module is configured to: and receiving the target video stream sent by the cloud server to realize the running of the cloud game.
According to an aspect of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, implementing the method for implementing the cloud game according to any embodiment of the first aspect, and implementing the method for implementing the cloud game according to the third aspect.
According to an aspect of the present disclosure, there is provided an electronic device including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the implementation method of the cloud game according to any embodiment of the first aspect and to implement the implementation method of the cloud game according to the third aspect via executing the executable instructions.
According to an aspect of the present disclosure, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and executes the computer instructions, so that the computer device executes the implementation method of the cloud game provided in the foregoing embodiments.
Exemplary embodiments of the present disclosure may have some or all of the following benefits:
in the resource allocation scheme provided in an example embodiment of the present disclosure, before performing image rendering processing, the cloud server determines a resolution (denoted as a target resolution) corresponding to a display screen of a target terminal. And setting the resolution of the acquired image as the target resolution to obtain a target image. And then rendering based on the target image, and coding the rendered target image to obtain a target video stream. And finally, transmitting the target video stream to the target terminal to realize the operation of the cloud game. According to the technical scheme, the situation that the display resolution ratio is inconsistent with the display resolution ratio when the cloud server renders the terminal can be avoided, so that computational resources required by the process of adjusting the display resolution ratio to the resolution ratio required by the terminal are saved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
Fig. 1 shows a schematic diagram of a system architecture of an exemplary application environment to which an implementation of a cloud game of an embodiment of the present disclosure may be applied.
Fig. 2 schematically shows a flowchart of an implementation method of a cloud game according to an embodiment of the present disclosure.
Fig. 3 schematically illustrates an interaction diagram of a cloud server and a terminal in a cloud game implementation process in an exemplary embodiment of the disclosure.
Fig. 4 schematically illustrates an interaction diagram of a cloud server and a terminal in a cloud game implementation process in another exemplary embodiment of the disclosure.
Fig. 5 schematically shows a flowchart of an implementation method of a cloud game according to another embodiment of the present disclosure.
Fig. 6 is a flowchart illustrating a method for determining a target resolution in an exemplary embodiment of the disclosure.
Fig. 7 schematically shows a flowchart of an implementation method of a cloud game according to yet another embodiment of the present disclosure.
Fig. 8 schematically shows a flowchart of an implementation method of a cloud game according to still another embodiment of the present disclosure.
Fig. 9 is a schematic structural diagram of an implementation apparatus of a cloud game to which an embodiment of the present disclosure may be applied.
Fig. 10 is a schematic structural diagram of an implementation apparatus of a cloud game to which another embodiment of the present disclosure can be applied.
FIG. 11 illustrates a schematic structural diagram of a computer system suitable for use in implementing an electronic device of an embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
Cloud technology refers to a hosting technology for unifying serial resources such as hardware, software, network and the like in a wide area network or a local area network to realize calculation, storage, processing and sharing of data.
Cloud technology (Cloud technology) is based on a general term of network technology, information technology, integration technology, management platform technology, application technology and the like applied in a Cloud computing business model, can form a resource pool, is used as required, and is flexible and convenient. Cloud computing technology will become an important support. Background services of the technical network system require a large amount of computing and storage resources, such as video websites, picture-like websites and more web portals. With the high development and application of the internet industry, each article may have its own identification mark and needs to be transmitted to a background system for logic processing, data in different levels are processed separately, and various industrial data need strong system background support and can only be realized through cloud computing.
The cloud game is a game mode based on cloud computing, in an operation mode of the cloud game, the game is not operated in a player game terminal but in a cloud server, a game scene is rendered into a video and audio stream by the cloud server, and the video and audio stream is encoded and compressed and then transmitted to the player game terminal through a network. In a related cloud game implementation, the display resolution of the cloud server is generally fixed (e.g., 1920 × 1080, 4096 × 2160, etc.) when rendering the image. The player game terminal does not need any high-end processor and video card, namely does not need to have strong graphic operation and data processing capacity, and only needs basic video decompression capacity and basic streaming media playing capacity. In the related cloud game implementation scheme, after the game terminal decodes the received compressed audio/video stream, the display resolution is also generally fixed when the game terminal performs image rendering, and a specific terminal adaptively selects the display resolution such as 480 × 320, 720 × 350, 1024 × 768, or the like according to the situation.
Therefore, the problem that the display resolution of the cloud server for rendering is inconsistent with the display resolution of the terminal for rendering is solved.
In order to solve the above problems, the related art adopts the following technical solutions: when the display resolution of the rendering processing performed by the cloud server is not consistent with the display resolution of the rendering performed by the terminal, the display resolution of the rendering performed by the game terminal is adapted by performing up-sampling or down-sampling on the encoding compression performed by the cloud server. For example, when the display resolution of the rendering processing performed by the cloud server is higher than the resolution required by the rendering performed by the terminal, the display resolution needs to be reduced by the above-mentioned method; for another example, when the display resolution of the rendering process performed by the cloud server is lower than the resolution required by the rendering process performed by the terminal, the display resolution needs to be improved by the above-mentioned method.
Specifically, for an image I with size M × N, M and N are positive integers, which respectively represent the number of pixels of the image in the horizontal direction and the number of pixels in the vertical direction. And (5) carrying out s-time down-sampling on the image I to obtain a resolution image with the size of (M/s) × (N/s). And performing s-time upsampling on the image I to obtain a resolution-scoring image with the size of (M & lts & gt) × (N & lts & gt). s is a value greater than 1. The algorithms mainly used for the up-sampling and the down-sampling include nearest neighbor interpolation, bilinear interpolation, mean value interpolation, median value interpolation and the like.
Obviously, the solutions provided by the related art consume the computing power of the cloud server on one hand, and on the other hand, the up-down sampling algorithm also loses part of the pixel values of the screen display resolution, which directly affects the image quality effect of the screen game image.
In view of the above problems in the related art, the present disclosure provides a cloud game implementation method, a cloud game implementation apparatus, a computer-readable storage medium, and an electronic device, so as to solve the above problems to some extent.
Fig. 1 is a schematic diagram illustrating a system architecture of an exemplary application environment to which an implementation of a cloud game according to an embodiment of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include a terminal 110, a network 120, and a cloud server 130. The terminal 110, the network 120, and the cloud server 130 are connected through the network 120.
For example, the terminal 110 is a terminal device capable of carrying a game (e.g., a cloud game) to run, and may specifically be, but not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the application is not limited herein. The network 120 may be any type of communication medium capable of providing a communication link between the terminal 110 and the cloud server 130, such as a wired communication link, a wireless communication link, or a fiber optic cable, and the like, which is not limited herein. The cloud server 130 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network service, cloud communication, a middleware service, a domain name service, a security service, a CDN, a big data and artificial intelligence platform, and the like.
The implementation method of the cloud game provided by the embodiment of the present disclosure may be executed by any node in the cloud server 130. Accordingly, the cloud game implementation device is generally disposed in the cloud server 130. However, it is easily understood by those skilled in the art that the implementation method of the cloud game provided in the embodiment of the present disclosure may also be executed by the terminal 110, and accordingly, an implementation apparatus of the cloud game may also be disposed in the corresponding terminal, which is not particularly limited in the exemplary embodiment.
For example, before the image rendering process is performed by the cloud server 130, if the resolution corresponding to the display screen of the terminal 110 is not determined, there may be a case that the display resolution of the rendering process performed by the cloud server 130 is very inconsistent with the display resolution of the rendering process performed by the terminal 110. When the cloud server 130 performs encoding after performing rendering processing, the display resolution sent to the terminal 110 needs to meet the requirement of the terminal 110 by means of up-sampling or down-sampling. Under the circumstance, on one hand, the computing power of the cloud server is consumed, and on the other hand, the up-sampling algorithm also loses part of the pixel values of the screen display resolution, and the image quality effect of the screen game picture is directly influenced.
For example, in an implementation embodiment of an exemplary cloud game in the present technical solution, the cloud server 130 determines a target resolution corresponding to a display screen of the terminal 110 (referred to as a "target terminal" in this embodiment) before performing image rendering processing. Thus, the cloud server 130 sets the resolution of the acquired image to the target resolution before performing the image rendering processing. And then, performing rendering processing and encoding processing to obtain a target video stream, and sending the target video stream to the terminal 110 to implement running of the cloud game.
The embodiment of the cloud game implementation method provided by the present disclosure is explained in detail below:
fig. 2 is a schematic flow chart of a method for implementing a cloud game in an exemplary embodiment of the present disclosure, which is applied to a cloud server. Referring to fig. 2, the method includes:
step S210, before image rendering processing, determining a target resolution corresponding to a display picture of a target terminal;
step S220, setting the resolution of the acquired image as the target resolution to obtain a target image;
step S230, rendering is carried out based on the target image, and the rendered target image is coded to obtain a target video stream; and the number of the first and second groups,
step S240, sending the target video stream to the target terminal, so as to implement the operation of the cloud game.
In the implementation scheme of the cloud game provided in the embodiment shown in fig. 2, before performing image rendering processing, the cloud server determines a target resolution corresponding to a display screen of the target terminal. And setting the resolution of the acquired image as the target resolution, and then rendering the image with the target resolution. Therefore, the display resolution is consistent with the resolution required by terminal rendering when the cloud server renders the image, the problem that the resolution of the image is adjusted by means of up-down sampling and the like after the image is rendered by the cloud server is avoided, and then calculation resources required by the process of adjusting the display resolution to the resolution required by the terminal are saved. Meanwhile, the loss of pixel values of partial screen display resolution caused by an up-sampling algorithm is avoided, and the improvement of the image quality of game pictures is facilitated.
Before the detailed description of the specific implementation of each step in the embodiment shown in fig. 2, the interaction between the cloud server and the terminal in the implementation process of the cloud game is described. Referring to fig. 3, the cloud game can be divided into a downlink process in which the cloud server 31 transmits information to the terminal and an uplink process in which the terminal 32 transmits data to the cloud game.
Wherein, the downlink process includes: the game process runs on the cloud server 31, and specifically, the audio/video picture rendered by the cloud server 31 is encoded and then transmitted to the terminal 32 in the form of a compressed audio/video stream 33.
In an exemplary embodiment, the following is described in connection with FIG. 4: to reduce the width and delay loss associated with network transmission and multi-stage forwarding, the game play of the cloud game runs on the edge compute node 410 with the GPU. The edge node is a service platform constructed on the network edge side close to the user, provides resources such as storage, calculation, network and the like, and sinks part of key service application to the access network edge.
Illustratively, the edge computing node 410 converts game sounds into audio stream data in a format such as silk/opus/aac, etc. through sound collection (step S41), sound rendering (step S42), and audio encoding (step S43), on the one hand. On the other hand, the edge computing node 410 converts the game image generated by the GPU into video stream data in the format of VP8/VP9/h.264/H265/AV1 or the like by image capture (step S44), for example, taking out the current latest frame data from the frame buffer of the video memory at the timing frame rate, and then performing image rendering (step S45) and video encoding (step S46).
In an exemplary embodiment, in order to improve the processing efficiency and reduce the time delay, in the cloud game video processing process, game pictures are collected from a GPU video memory and then transmitted to a GPU coding module for coding and outputting; the cloud game video processing process is to acquire game sound data from the sound card and perform coding output.
The compressed audio/video stream 33 is transmitted to the terminal 32 based on the real-time clock, and after the terminal 32 receives the audio/video stream, the audio/video stream is separated into audio stream compression coded data and video stream compression coded data through decapsulation processing. The audio stream compression encoded data and the video stream compression encoded data are then decoded separately. Uncompressed video data and audio data are obtained. By decoding, the compression-encoded video data is output as uncompressed color data, such as YUV420P, RGB, or the like; the compression-encoded audio data is output as uncompressed audio sample data, such as PCM data. And then, sending the decoded video and audio data to a video card and a sound card of the system so as to synchronize the audio and video. So that the player can play the game by the displayed picture and the sound at the playing place.
Referring to fig. 3 and 4, the uplink process of the cloud game includes: the terminal 32 transmits the control signaling 34 such as the operation instruction and the coordinate position to the cloud server (e.g., the edge computing node 410) through the keyboard, the mouse, the handle, the touch screen, and the like. The cloud server instance maps the received operation instruction into a corresponding game mouse button, and then sends the operation instruction to the real game server through the keyboard mouse drive to complete the whole game service experience.
As can be seen, in the running mode of the cloud game, all game processes run on the cloud server 31, and the rendered game audio/video data is compressed and then transmitted to the user terminal 32 through the network. However, in the case where the display resolution is not consistent with the resolution when the image rendering is performed by the cloud server 31 (step S45) and the terminal performs the image rendering (step S45'), the present invention provides the following solutions (as shown in fig. 4): before the cloud server performs image rendering (step S45), a target resolution is determined to set a display resolution according to the target resolution (step S47). The target resolution is a resolution corresponding to a display screen of the terminal 32.
In an exemplary embodiment, reference is made to fig. 5, which is a schematic flow chart of a method for implementing a cloud game in another exemplary embodiment of the present disclosure.
As a specific embodiment of step S210, step S510 is executed: and before image rendering processing, receiving a picture display request containing a target resolution sent by the target terminal to obtain the target resolution.
In the present exemplary embodiment, the target resolution may be a resolution that the terminal adaptively selects according to the current network situation and its own setting.
In the present exemplary embodiment, the target resolution may also be a resolution set by the player at the target terminal according to actual needs. E.g., by means of a dialog box for entering or selecting the relevant resolution control. Specifically, the setting may be performed before the game is started, or may be performed during the game. The embodiment can provide a mode for autonomously determining the resolution of the terminal game picture for the user, and the user can determine the definition of the current game picture according to the user or the actual requirement, so that the personalized requirement of the game user is met.
As a specific embodiment of step S210, step S510' is performed: before image rendering processing is carried out, image quality influence factors are determined according to a current game scene, and the target resolution is determined according to the image quality influence factors.
The present exemplary embodiment provides a scheme for adaptively determining the resolution of a terminal display screen according to a current terminal, a current game, and a current game scene based on big data. Specifically, as a specific implementation manner of step S510', fig. 6 shows a schematic flowchart of a method for determining a target resolution in an exemplary embodiment of the present disclosure.
In one aspect, the method determines the image quality influencing factor through steps S610 to S640. Specifically, the method comprises the following steps:
in step S610, a scene identifier corresponding to a current game scene and a terminal identifier of a target terminal displaying the current game scene are acquired; in step S620, a game identifier corresponding to the current game scene is obtained according to the scene identifier; in step S630, one or more of the following information of the target terminal is obtained according to the terminal identifier: the display screen information of the target terminal, the network delay factor related to the target terminal and the Bluetooth information of the target terminal; in step S640, the scene identifier, the game identifier, and the information of the target terminal obtained according to the terminal identifier are determined as the image quality influence factor.
For example, the current game scene is "yy scene" in "xx game", where the scene is identified as "yy" and the game is identified as "xx", and different scenes in different types of games or the same game may be displayed in different resolutions on the terminal. Therefore, the image quality influence factor includes a scene identifier and a game identifier. Meanwhile, the related information of the terminal may also affect the display definition (resolution) of the terminal game screen. Therefore, according to the identifier (such as the terminal model) of the terminal currently displaying the game, further, according to the model, the display screen information in the terminal is obtained, such as: resolution of the display screen, size of the display screen, etc. And network delay factors and Bluetooth information related to the target terminal can be acquired. The above information may affect the definition of the terminal display screen, and thus can be used as an image quality influence factor. And therefore, the image quality influence factor of the current game scene is obtained.
In another aspect. The method shown in fig. 6 determines a resolution prediction model through steps S610 'and S620'. Specifically, the method comprises the following steps:
in step S610', N groups of sample data are obtained, where the ith group of sample data includes: the method comprises the steps of identifying a scene identifier corresponding to an ith game scene, an identifier of a terminal displaying the ith game scene, and the resolution of the terminal when the ith game scene is displayed, wherein N is a positive integer, and i is a positive integer not greater than N; in step S620', a resolution prediction model is trained according to the N sets of sample data, so that the trained resolution prediction model satisfies a preset model evaluation index.
Further, in step S650, the image quality influence factor is input into the trained resolution prediction model, and the target resolution corresponding to the current game scene is determined according to the output of the resolution prediction model.
The technical scheme adopts an artificial intelligence technology to obtain the target resolution (the resolution of the display picture at the game terminal) corresponding to the current game scene so as to be beneficial to the scheme of adaptively determining the resolution of the display picture at the terminal.
With continued reference to fig. 5, after determining the above target resolution, step S520 is performed: an image on a game screen is acquired from a video memory of an image Processing Unit (GPU), and an original resolution of the image is acquired.
In an exemplary embodiment, in order to improve data processing efficiency and reduce delay, images related to game pictures are directly collected from a GPU video memory in a cloud game video processing process and are transmitted to a GPU encoding module for encoding and outputting, so that performance loss caused by copying between a GPU and a CPU is reduced and delay is reduced. In this embodiment, for the images of the game screen captured from the GPU video memory, the original resolutions of these images are obtained.
Further, step S530 is performed: determining whether the original resolution is consistent with the target resolution.
In case the original resolution does not coincide with the target resolution, step S540 is performed: altering a resolution of the image to the target resolution. In the case where the original resolution coincides with the target resolution, step S540' is performed: the resolution of the image is kept constant.
In an exemplary embodiment, in the case that the original resolution is not consistent with the target resolution, the resolution of the acquired image is set to be a specific implementation of the target resolution (as a specific implementation of step S220), as follows: and determining a target interface according to the operating system to which the cloud server belongs, and adjusting the image with the initial resolution to the target image with the target resolution according to the target interface. Specifically, if the operating system is windows, the corresponding target interfaces are ChangeDisplaySettings and ChangeDisplaySettings ex; and if the operating system is nvdia, the target interface is the NvAPI _ DISP _ SetDisplayConfig of the GPU and the like.
With continued reference to fig. 5, in step S550, the target image is rendered based on the image processing unit, and the target image after the rendering processing is encoded based on the image processing unit to obtain a target video stream.
In an exemplary implementation, as described above, in order to improve data processing efficiency and reduce latency and reduce performance loss caused by copying between the GPU and the CPU, in the cloud game video processing process, images related to game frames are directly collected from the GPU memory, an upper target image is rendered based on the GPU, and a target video stream is obtained by encoding the rendered target image based on the encoding module of the GPU.
In step S560, the target video stream is sent to the target terminal, so as to implement the running of the cloud game.
And after the target terminal carries out steps of decompressing, decoding and the like on the target video stream, rendering and displaying the image with the target resolution. The embodiments of the steps of the target terminal performing the decompression processing and the decoding processing are introduced in the foregoing embodiments and are not described herein again.
In an exemplary embodiment, fig. 7 is a flowchart illustrating a method for implementing a cloud game in still another exemplary embodiment of the disclosure, and the method is applied to a terminal. Referring to fig. 7, the method includes:
step S710, before the cloud server performs image rendering processing, determining a target resolution corresponding to a display picture of a target terminal, so that the cloud server sets the resolution of the acquired image as the target resolution to obtain a target image, and the cloud server performs rendering processing based on the target image, and encodes the rendered target image to obtain a target video stream; and the number of the first and second groups,
step S720, receiving the target video stream sent by the cloud server to implement the operation of the cloud game.
Since the specific implementation of step S710 and step S720 are described in the foregoing embodiments, they are not described herein again.
According to the cloud game implementation scheme, the cloud server carries out resolution setting on the acquired image based on the target resolution corresponding to the display image of the terminal before the acquired image is rendered, so that the rendered resolution of the display of the cloud screen is consistent with the resolution requested by a user, the rendering calculation power generated by inconsistent screen display resolution is not wasted, and the picture quality and the calculation power are not influenced by up-and-down image sampling on the screen image acquired in real time.
Compared with the related art, after the optimization based on the technical scheme, the Frames Per Second (FPS) of the cloud game at the terminal can be increased by at least 5 Frames (refer to fig. 8).
Those skilled in the art will appreciate that all or part of the steps for implementing the above embodiments are implemented as computer programs executed by a processor (including a CPU and a GPU). Which when executed by a processor performs the above-described functions as defined by the above-described method provided by the present disclosure. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic or optical disk, or the like.
Furthermore, it should be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
The following introduces an implementation apparatus of a cloud game configured in a cloud server according to the present technical solution:
referring to fig. 9, the cloud game implementation apparatus 900 includes: a resolution determination module 901, a resolution setting module 902, a video stream determination module 903, and a video stream transmission module 904.
Wherein the resolution determining module 901 is configured to: before image rendering processing is carried out, determining a target resolution corresponding to a display picture of a target terminal; the aforementioned resolution setting module 902 is configured to: setting the resolution of the acquired image as the target resolution to obtain a target image; the video stream determination module 903 is configured to: rendering processing is carried out on the basis of the target image, and the rendered target image is encoded to obtain a target video stream; the video stream sending module 904 is configured to: and sending the target video stream to the target terminal to realize the running of the cloud game.
In an exemplary embodiment, based on the foregoing scheme, the resolution determining module 901 is specifically configured to: and receiving a picture display request containing a target resolution sent by the target terminal to obtain the target resolution.
In an exemplary embodiment, based on the foregoing scheme, the resolution determining module 901 is specifically configured to: and determining an image quality influence factor according to the current game scene, and determining the target resolution according to the image quality influence factor.
In an exemplary embodiment, based on the foregoing solution, the resolution determining module 901 includes: a first determination unit 9011.
Wherein the first determining unit 9011 is configured to: acquiring a scene identifier corresponding to a current game scene and a terminal identifier of a target terminal displaying the current game scene; acquiring a game identifier corresponding to the current game scene according to the scene identifier; acquiring one or more of the following information of the target terminal according to the terminal identification: the display screen information of the target terminal, the network delay factor related to the target terminal and the Bluetooth information of the target terminal; and determining the scene identification, the game identification and the information of the target terminal acquired according to the terminal identification as the image quality influence factor.
In an exemplary embodiment, based on the foregoing solution, the apparatus further includes: a model training module 905.
Wherein the model training module 905 is configured to: acquiring N groups of sample data, wherein the ith group of sample data comprises: the method comprises the steps of identifying a scene identifier corresponding to an ith game scene, an identifier of a terminal displaying the ith game scene, and the resolution of the terminal when the ith game scene is displayed, wherein N is a positive integer, and i is a positive integer not greater than N; and training a resolution prediction model according to the N groups of sample data so that the trained resolution prediction model meets a preset model evaluation index, and determining the target resolution through the resolution prediction model.
In an exemplary embodiment, based on the foregoing scheme, the resolution determining module 901 further includes: a second determination unit 9012.
Wherein the second determining unit 9012 is configured to: and inputting the image quality influence factor into the trained resolution prediction model, and determining the target resolution corresponding to the current game scene according to the output of the resolution prediction model.
In an exemplary embodiment, based on the foregoing scheme, the resolution setting module 902 is specifically configured to: acquiring an image related to a game picture from a video memory of an image processing unit, and acquiring the original resolution of the image; in the event that the original resolution is not consistent with the target resolution, altering the resolution of the image to the target resolution.
In an exemplary embodiment, based on the foregoing scheme, the resolution setting module 902 is further specifically configured to: and keeping the resolution of the image unchanged under the condition that the original resolution is consistent with the target resolution.
In an exemplary embodiment, based on the foregoing scheme, the resolution setting module 902 determines a target interface according to an operating system to which the cloud server belongs; and adjusting the image with the initial resolution into a target image with the target resolution according to the target interface.
In an exemplary embodiment, based on the foregoing scheme, the video stream determining module 903 is specifically configured to: and rendering the target image based on the image processing unit, and encoding the target image after rendering based on the image processing unit to obtain a target video stream.
The implementation device of the cloud game configured on the terminal provided by the technical scheme is introduced as follows:
referring to fig. 10, the cloud game implementation apparatus 1000 includes: a transmitting module 1001 and a receiving module 1002.
Wherein, the sending module 1001 is configured to: before the cloud server carries out image rendering processing, determining a target resolution corresponding to a display picture of a target terminal, so that the cloud server sets the resolution of the acquired image as the target resolution to obtain a target image, carrying out rendering processing on the cloud server based on the target image, and encoding the rendered target image to obtain a target video stream; and the receiving module 1002 is configured to: and receiving the target video stream sent by the cloud server to realize the running of the cloud game.
The specific details of each module or unit in the cloud game implementation apparatus have been described in detail in the corresponding cloud game implementation method, and therefore are not described herein again.
FIG. 11 illustrates a schematic structural diagram of a computer system suitable for use with the electronic device to implement an embodiment of the invention.
It should be noted that the computer system 1100 of the electronic device shown in fig. 11 is only an example, and should not bring any limitation to the functions and the scope of the application of the embodiment of the present invention.
As shown in fig. 11, computer system 1100 includes a processor 1101, wherein processor 1101 may comprise: a Graphics Processing Unit (GPU), a Central Processing Unit (CPU), which can perform various appropriate actions and processes according to a program stored in a Read-Only Memory (ROM) 1102 or a program loaded from a storage section 1108 into a Random Access Memory (RAM) 1103. In the RAM 1103, various programs and data necessary for system operation are also stored. A processor (GPU/CPU)1101, a ROM 1102, and a RAM 1103 are connected to each other by a bus 1104. An Input/Output (I/O) interface 1105 is also connected to bus 1104.
The following components are connected to the I/O interface 1105: an input portion 1106 including a keyboard, mouse, and the like; an output section 1107 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 1108 including a hard disk and the like; and a communication section 1109 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 1109 performs communication processing via a network such as the internet. A driver 1110 is also connected to the I/O interface 1105 as necessary. A removable medium 1111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1110 as necessary, so that a computer program read out therefrom is mounted into the storage section 1108 as necessary.
In particular, the processes described below with reference to the flowcharts may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 1109 and/or installed from the removable medium 1111. When the computer program is executed by the processor (GPU/CPU)1101, various functions defined in the system of the present application are executed. In some embodiments, computer system 1100 may also include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
It should be noted that the computer readable medium shown in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having 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), a 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. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (15)
1. A cloud game implementation method is applied to a cloud server, and comprises the following steps:
before image rendering processing is carried out, determining a target resolution corresponding to a display picture of a target terminal;
setting the resolution of the acquired image as the target resolution to obtain a target image;
rendering processing is carried out on the basis of the target image, and the rendered target image is encoded to obtain a target video stream;
and sending the target video stream to the target terminal to realize the running of the cloud game.
2. The method of claim 1, wherein determining a target resolution corresponding to a display of the target terminal comprises:
and receiving a picture display request containing a target resolution sent by the target terminal to obtain the target resolution.
3. The method of claim 1, wherein determining a target resolution corresponding to a display of the target terminal comprises:
and determining an image quality influence factor according to the current game scene, and determining the target resolution according to the image quality influence factor.
4. The method of claim 3, wherein determining the quality impact factor based on the current game scene comprises:
acquiring a scene identifier corresponding to a current game scene and a terminal identifier of a target terminal displaying the current game scene;
acquiring a game identifier corresponding to the current game scene according to the scene identifier;
acquiring one or more of the following information of the target terminal according to the terminal identification: the display screen information of the target terminal, the network delay factor related to the target terminal and the Bluetooth information of the target terminal;
and determining the scene identification, the game identification and the information of the target terminal acquired according to the terminal identification as the image quality influence factor.
5. The method of claim 3, further comprising:
acquiring N groups of sample data, wherein the ith group of sample data comprises: the method comprises the steps of identifying a scene identifier corresponding to an ith game scene, an identifier of a terminal displaying the ith game scene, and the resolution of the terminal when the ith game scene is displayed, wherein N is a positive integer, and i is a positive integer not greater than N;
and training a resolution prediction model according to the N groups of sample data so that the trained resolution prediction model meets a preset model evaluation index, and determining the target resolution through the resolution prediction model.
6. The method of claim 5, wherein determining the target resolution according to the image quality impact factor comprises:
and inputting the image quality influence factor into the trained resolution prediction model, and determining the target resolution corresponding to the current game scene according to the output of the resolution prediction model.
7. The method of any one of claims 1 to 3, wherein setting the resolution of the acquired image to the target resolution comprises:
acquiring an image related to a game picture from a video memory of an image processing unit, and acquiring the original resolution of the image;
in the event that the original resolution is not consistent with the target resolution, altering the resolution of the image to the target resolution.
8. The method of claim 7, further comprising:
and keeping the resolution of the image unchanged under the condition that the original resolution is consistent with the target resolution.
9. The method of claim 7, wherein setting the resolution of the acquired image to the target resolution comprises:
determining a target interface according to an operating system to which the cloud server belongs;
and adjusting the image with the initial resolution into a target image with the target resolution according to the target interface.
10. The method according to any one of claims 1 to 3, wherein performing rendering processing based on the target image and encoding the rendered target image to obtain a target video stream comprises:
and rendering the target image based on the image processing unit, and encoding the target image after rendering based on the image processing unit to obtain a target video stream.
11. A cloud game implementation method is applied to a terminal, and comprises the following steps:
before the cloud server carries out image rendering processing, determining a target resolution corresponding to a display picture of a target terminal, so that the cloud server sets the resolution of the acquired image as the target resolution to obtain a target image, carrying out rendering processing on the cloud server based on the target image, and encoding the rendered target image to obtain a target video stream;
and receiving the target video stream sent by the cloud server to realize the running of the cloud game.
12. An apparatus for implementing cloud games, configured to a cloud server, the apparatus comprising:
a resolution determination module configured to: before image rendering processing is carried out, determining a target resolution corresponding to a display picture of a target terminal;
a resolution setting module configured to: setting the resolution of the acquired image as the target resolution to obtain a target image;
a video stream determination module configured to: rendering processing is carried out on the basis of the target image, and the rendered target image is encoded to obtain a target video stream;
a video stream transmission module configured to: and sending the target video stream to the target terminal to realize the running of the cloud game.
13. An apparatus for implementing a cloud game, configured to be provided in a terminal, the apparatus comprising:
a sending module configured to: before the cloud server carries out image rendering processing, determining a target resolution corresponding to a display picture of a target terminal, so that the cloud server sets the resolution of the acquired image as the target resolution to obtain a target image, carrying out rendering processing on the cloud server based on the target image, and encoding the rendered target image to obtain a target video stream;
a receiving module configured to: and receiving the target video stream sent by the cloud server to realize the running of the cloud game.
14. A computer-readable storage medium, having stored thereon a computer program;
the computer program, when executed by a processor, implements the cloud game implementation method of any one of claims 1 to 10, and when executed implements the cloud game implementation method of claim 11.
15. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to execute the implementation method of the cloud game according to any one of claims 1 to 10 via execution of the executable instructions, and to implement the implementation method of the cloud game according to claim 11 when executed.
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