201 results about "Cloud gaming" patented technology

The invention relates to the technical field of computers, and discloses a multi-mode audio and video synchronous processing method and system based on a distributed architecture. The method comprises the following steps: generating a unique logic sequence identifier consisting of a device code, a media type and a frame number for each frame of audio and video data; distributing the frame carrying the identifier to a distributed node for processing and adding a local timestamp; and the sink node reconstructs an original frame sequence according to the identifier, calculates a synchronous offset by combining high-precision clock calibration, and realizes dynamic reordering and output through a double-buffer structure and a self-adaptive drift compensation algorithm. The system comprises a source end acquisition module, an identifier generation module, a task scheduling module, a distributed processing cluster module, a convergence synchronization module and a synchronous output module. According to the scheme, the system effectively guarantees the audio and video synchronization precision in a high-concurrency heterogeneous environment, the synchronization error is controlled within 20 milliseconds, and the playing quality and the user experience of scenes such as live broadcast and cloud games are remarkably improved.

A method for controlling a display of a frame representing a state of a game in a network-based gaming application comprising: sending (301A) an information representative of a user action to a server; receiving (305B) at least one frame representing a predicted state of the game predicted from the user action; obtaining an information allowing determining if said at least one frame corresponds to the user action; and; if the at least one frame corresponds to said user action, determining when displaying one of the at least one frame in function of a time at which this user action was performed and of said information.

The invention provides a game resource scheduling management method and system based on cloud computing, and relates to the technical field of game resources, the method comprises the following steps: decomposing a server of a cloud game application, and establishing a multi-attribute micro-service; constructing a heterogeneous resource pool containing computing nodes of different architecture types; performing request type demand analysis according to the received game session request, and determining a demand micro-service combination; based on the hardware preference features and the performance portraits, configuring computing nodes of the micro-services, and deploying corresponding micro-service instances on the computing nodes; and based on the demand micro-service combination, establishing communication connection between corresponding attribute micro-service instances through a service grid, and generating a collaborative scheduling execution instruction. By means of the method and device, the technical problem that in the prior art, due to the fact that resource scheduling is coarse in granularity and hardware resources are not fully utilized, computing resources are wasted, hardware loads are unbalanced, and the performance of the game server is affected is solved, and the resource utilization rate is increased through fine-granularity task-level scheduling.

The invention discloses an analysis method for 5G network user perception improvement based on wireless intelligent arrangement, and the method specifically comprises the following steps: 1, the perception of an online user terminal is evaluated in real time, and the perception evaluation comprises the multi-dimensional evaluation of the data transmission congestion state of the user terminal and the wireless channel quality; and 2, when the perceptibility evaluation result indicates that the user experience is degraded, a wireless intelligent arrangement decision is triggered, and the decision is based on the service requirement, the terminal capability and the space-time position of the user terminal. According to the analysis method for improving 5G network user perception based on wireless intelligent arrangement, through AI-driven dynamic resource scheduling and in combination with a predictive network self-optimization function, the end-to-end time delay of low-time-delay services such as high-definition video calls, cloud games and VR / AR is guaranteed to be lower than 20 milliseconds, the lagging phenomenon is remarkably eliminated, and the user perception is improved. Seamless service continuity guarantee is achieved, and measurement-free switching is achieved through a wireless fingerprint grid knowledge base.

Various aspects of the present disclosure relate to user interaction data transportation using real-time transport protocol header extension. One or more physical device interactions by a user are sampled to obtain interaction data inputs, such as for a user playing cloud gaming or using extended reality on their user equipment. These interaction data inputs are generated frequently, such as approximately 250 to 1000 times per second. One or more interaction short messages (e.g., less than 100 bytes), which are time-sensitive, are generated from the user interaction data and included in one or more transport header extensions of a real-time transport protocol data unit. The real-time transport protocol data unit is transmitted to a remote device, such as a network entity.

The application provides a cloud game evaluation method and medium based on space-frequency enhancement and sparse attention fusion, and belongs to the technical field of image processing. The method comprises the following steps: acquiring a cloud game video stream to be evaluated, and extracting key frames and key region image blocks from the cloud game video stream; inputting the key frames into a pre-trained global feature extraction network to obtain global features, global shallow layer features, global middle layer features and global deep layer features; and inputting the key region image blocks into a pre-trained local feature extraction network to obtain local features, local middle layer features and local deep layer features. The method of the application can precisely capture global scene distortion and local high-sensitive region distortion of a cloud game video by constructing a multi-stage sparse fusion network and a space-frequency multi-level fusion network, while reducing model parameter quantity and calculation cost, meeting real-time inference and terminal lightweight deployment requirements of a cloud game scene.

The embodiment of the invention provides a virtual resource adjustment method and device, equipment, a storage medium and a program product, which are used for realizing adjustment of virtual resources under the condition of keeping the on-hook state of a cloud game. The method can be applied to cloud games. The method specifically comprises the steps that a first interface is displayed, the first interface comprises an on-hook control, the on-hook control is used for displaying first virtual resource information of a target cloud game in an on-hook state, and the first virtual resource information is used for indicating state information of virtual resources of the target cloud game at the current moment; in response to a first operation on the on-hook control, a first adjustment control of the virtual resources of the target cloud game is displayed on the first interface, and the first adjustment control is used for indicating to increase or decrease the virtual resources of the target cloud game; in response to a second operation on the first adjustment control, second virtual resource information of the target cloud game is displayed on the first interface, and the second virtual resource information is used for indicating state information after virtual resources of the target cloud game are adjusted.

The application relates to a gyroscope data transmission method and device applied to cloud games, a medium and equipment, wherein the method comprises the following steps: receiving control data of a cloud game sent by a user terminal, wherein the user terminal supports a gyroscope; judging whether the control data is gyroscope data; if the control data is gyroscope data, performing analysis processing on the control data to obtain control data adapted to the cloud game; storing the control data adapted to the cloud game in a data temporary storage area, and sending a data trigger message to the cloud game, so that the cloud game obtains the control data adapted to the cloud game from the data temporary storage area. After it is determined that the received control data is gyroscope data, the gyroscope data is stored in the data temporary storage area, and the cloud game is notified, so that the cloud game running on a cloud server without a gyroscope device can obtain the gyroscope data, and the playability of the game is improved.

The application relates to the technical field of cloud servers, in particular to a port multiplexing method based on a cloud game server, a processing device and a storage medium, and aims to solve the problem of server resource consumption caused by creating too many ports. The port multiplexing method comprises the following steps: receiving first initial data sent by a first client through a pre-bound port; determining a first protocol type of an application layer according to protocol information contained in the first initial data; calling a corresponding first service program to communicate with the first client according to the first protocol type; receiving second initial data sent by a second client through the pre-bound port; determining a second protocol type of the application layer according to protocol information contained in the second initial data; and calling a corresponding second service program to communicate with the second client according to the second protocol type. The port multiplexing method can effectively reduce the consumption of server resources and improve the running speed of the server.

A federated learning service deployment method and system based on end node residual energy perception, equipment and medium, the method comprising: constructing a corresponding federated learning time model and an end node energy consumption model for each end node according to the federated learning process; cloud gaming according to the federated learning time model and the end node energy consumption model; edge-end matching for end nodes participating in training; the system, equipment and medium are used for the federated learning service deployment method based on the end node residual energy perception; in the end node selection stage, a cloud gaming algorithm and an edge-end matching algorithm are designed, the end nodes participating in distributed training and their computing resource allocation are determined, the residual energy of the end nodes is introduced into the gaming revenue function, the end nodes with less residual energy select a lower CPU frequency, the edge nodes accessed by the end nodes and the transmission power allocation of the end nodes are determined, and the residual energy of the end nodes is introduced into the end node preference function, thereby reducing the end node computing energy consumption and realizing end node energy protection.

The present technology relates to a communication device and a communication system that make it possible to easily determine the category of a network line. In one embodiment of this technology, on the basis of (A) metrics information indicating the reception state of first traffic in another communication device when a plurality of patterns of the first traffic are transmitted to the another communication device and / or (B) metrics information indicating the reception state when a plurality of patterns of first traffic are received from the another communication device, a communication device determines the category of a network line, which is used to connect to the another communication device, on the basis of the results of a relative comparison of the reception state of each pattern of first traffic. The present technology can be applied to a communication system that provides a network service such as a cloud gaming service.

The invention provides a self-adaptive graphic cache management method and device for a cloud game. The method comprises the following steps: monitoring rendering time of a cloud game picture; under the condition that the caching strategy currently used by the system is a double-buffering strategy, if the rendering time of the continuous M frames of cloud game pictures is greater than a preset threshold value, switching the caching strategy into a three-buffering strategy; and / or under the condition that the caching strategy currently used by the system is the three-buffering strategy, if the rendering time of the continuous N frames of cloud game pictures is smaller than the preset threshold value, the caching strategy is switched into the double-buffering strategy, switching between double buffering and three buffering can be carried out according to the change of the cloud game operation environment, and the operation efficiency of the cloud game is improved. And the optimal balance between delay and fluency is realized.

Embodiments of the present application disclose a game updating method and system, a server, an electronic device and a storage medium. The method comprises: when game updating is performed, running a cloud game client image to generate a cloud game picture containing an updating trigger control; obtaining operation coordinates corresponding to the updating trigger control; simulating a trigger operation of triggering the updating trigger control in the cloud game picture according to the operation coordinates corresponding to the updating trigger control, to generate a trigger instruction for indicating triggering the updating trigger control based on the trigger operation; and automatically triggering updating of the cloud game client image according to the trigger instruction. The technical solution of the embodiments of the present application can complete automatic updating of a game through a cloud game server without awareness of a player, and greatly improve operation cost and operation quality of a product through automatic updating of the game.

The present application relates to the technical field of image processing. Provided are a cloud game picture processing method and apparatus, and an electronic device and a storage medium. The method comprises: a client sending a display refresh rate to a server; on the basis of the display refresh rate, the server determining a rendering frame rate of the server; on the basis of the rendering frame rate of the server, the server performing rendering and encoding processing on cloud game picture data, so as to generate encoded data and transmit same to the client; the client receiving the encoded data and performing decoding and rendering processing on the encoded data to obtain decoded data, wherein a rendering frame rate of the decoded data is less than or equal to the display refresh rate; and the client adjusting the display refresh rate to be consistent with the rendering frame rate of the decoded data. By adjusting the rendering frame rate of the server on the basis of the display refresh rate of the client, the present application provides an effective upward redundancy space for a frame rate of data transmission, thereby effectively eliminating the problem of picture tearing in a cloud game by adjusting the display refresh rate.

A method is provided, the method comprising the operations of: executing a cloud video game in a data center; streaming a video generated by the executing cloud video game to a client device over a network; deploying a cloud game proxy to an edge compute proximate to the client device; wherein the cloud game proxy buffers the video and retransmits lost packets of the video to the client device.

The application provides a cloud game data processing method and device, equipment and storage medium, belongs to the field of Internet and cloud technology, is applied to a cloud game docking system, the cloud game docking system is used for connecting an application platform and servers of a plurality of cloud game providers, and the method comprises the following steps: receiving a cloud game starting request from the application platform; generating a data requirement strategy for a first cloud game based on the cloud game starting request; sending the data requirement strategy to the server of the first cloud game provider; receiving game data of the first cloud game sent by the server of the first cloud game provider; and sending the game data of the first cloud game to the application platform. In the application, the process of the application platform obtaining game data is simplified, the adaptation cost for each cloud game provider is reduced, the adaptation degree between the generated game data in the running process and the application platform is ensured, the display effect of the game picture of the cloud game is ensured, and the user experience is improved.

A method for cloud gaming. The method includes generating a video frame while executing a video game at a server. The method includes scanning the video frame into an encoder at the server on a scan line by scan line basis. The method includes encoding one or more encoder slices into one or more encoded slices at the encoder, where each encoded slice is transferred to a buffer at an encoder fill rate. The method includes draining a first encoded slice from the buffer to stream the first encoded slice to a client over a network at a buffer drain rate, where the first encoded slice is streamed over the network before one or more slices of a fully encoded video frame.

This invention discloses a cloud gaming vulnerability analysis and monitoring system based on cloud computing, relating to the field of game vulnerability analysis technology. The system includes a game monitoring module, an intelligent aggregation module, and a resource scheduling module. The game monitoring module collects performance parameters and interaction parameters of game instances through a lightweight monitor, and calculates anomaly frequency, coefficient of determination, kurtosis, and temporal anomalies using multidimensional modeling and statistical analysis. Based on this, it performs comprehensive calculations to generate risk assessment values ​​and screen suspicious targets. The intelligent aggregation module performs similarity calculations and undirected graph clustering on suspicious targets and their risk parameters to aggregate scattered suspicious targets into vulnerability analysis tasks. The resource scheduling module calculates an evidence collection index based on parameters such as task size, latency, average risk, and similarity. Based on the evidence collection index, it allocates vulnerability analysis tasks to parallel analysis lines in an isolated analysis cluster for execution, thereby achieving in-depth forensics and dynamic detection.

This application relates to the fields of cloud gaming and remote streaming display, and in particular to a boot-up method, apparatus, device, and medium. The method includes: in the initramfs stage, a startup animation program determines the optimal display mode, which can be uniformly displayed in subsequent display processes. Furthermore, during the control switching process in each stage, the current frame of the buffer of the previous program is continuously output and used as the first output buffer frame of the subsequent program, ensuring screen consistency and achieving smooth connection of multi-stage display. An early display proxy process and a parallel initialization mechanism are introduced to achieve continuous visual output across the entire link from system power-on to the display of the first frame of the target streaming application, effectively avoiding black screen, flickering, and screen jump phenomena during startup, and significantly improving the user's perceived experience of system startup speed and visual quality.

The application relates to a sound output control method based on multiple game levels, and relates to the field of sound output control of cloud games. A term library is established, a specific term is selected from the term library, a level is randomly generated according to the selected term, and a basic music library corresponding to the specific term is extracted; a fixed number of basic musics are randomly selected from the extracted basic music library and combined into background music, environmental sound effects, atmosphere sound effects and pass music by using a random algorithm, and a music playing strategy generated according to the selected term; a large amount of random music is intelligently generated by using machine learning to meet the demand of multiple game levels, and the workload of game music production is greatly reduced; the music used in the game is split into basic musics which can be freely combined according to types and use occasions, and the demand of the game for music is met under the premise of saving resources and costs.

Procedure, comprehensive: Playing back a game instance on a streaming device (104); Encoding the game instance into a game stream on the streaming device (104); Transmitting the game stream to a client device (102) for display on the client device; Receiving evidence to capture at least a portion of the game stream as a recording; Analyzing system information corresponding to the client device (102) to determine the allocation of recording tasks between the client device (102) and the streaming device (104); Selection based at least partially on the allocation of recording tasks, with Transmitting a character to the client device (102) to cause the client device to generate the recording, wherein: The transmission of the character to the client device (102) to cause the client device to generate the recording is selected to be performed when system information indicates that generating the recording on the client device would at least reach a performance threshold; and Creating the recording on the streaming device (104) is selected to perform when system information indicates that creating the recording on the client device would not at least meet the performance threshold.

The application provides a data processing method and device, a computer program, an electronic device and a storage medium. The method comprises: in response to login information of a target account, obtaining login setting information in a first terminal; detecting a trigger state of a wireless local area network detection component of a cloud game; triggering a cross-terminal login strategy corresponding to the target account according to the trigger state of the wireless local area network detection component; and logging in the target account in a second terminal based on the cross-terminal login strategy, so as to execute the cloud game through the target account. Thus, the target account of the cloud game can be conveniently logged in different terminals, so that users obtain different game use experiences in mobile terminals and fixed terminals, while ensuring the security of the target account logged in different terminals, ensuring the continuity of the game, improving the use experience of the users, and making the cloud game more suitable for the use requirements of the users.

The application relates to the technical field of cloud games, and particularly discloses a cloud game data processing method and system and a readable storage medium, which adopt artificial intelligence technology based on deep learning to perform data analysis on first operation instructions and first image data, respectively excavate semantic feature representations of the first operation instructions and the first image data, further realize cross-modal semantic joint of the first operation instructions and the first image data based on a meta-learning mechanism, and generate second image data based on the cross-modal semantic joint. In this way, the operation intention of a player can be more accurately understood, and the operation intention of the player can be dynamically integrated into a generation process of a game picture, so that the response speed of the cloud game and the accuracy of image generation are improved, and a player can have a more smooth and natural game experience.

The invention relates to the technical field of transmission and bearing, and provides a data processing method and device, equipment, a storage medium and a program product, and the method comprises the steps: carrying out the block processing of to-be-processed data based on the data type of the to-be-processed data, and obtaining at least one data block; the to-be-processed data is data in a cloud game scene; based on the data type, determining a processing algorithm of each data block and configuration data of each data block; the configuration data is used for performing reconstruction and wiring configuration on a PE array in the CGRA; based on the CGRA, the processing algorithm and the configuration data, performing data processing on each data block to obtain a data processing result; the data processing is data compression or data decompression. The data compression and decompression efficiency in the cloud game scene is effectively improved, the data transmission bandwidth pressure in the cloud game scene can be reduced, and then the game experience of a user is improved.

The present invention relates to cross-device authentication technologies. In particular, the present invention relates to methods, systems and computer program products for enabling cross-device authentication, including for implementation within cloud based service systems, and even more particularly for implementation within cloud gaming systems.

A cloud game operation control method and a computer device are provided. The method includes: determining game state information of a target cloud game currently running in a cloud game client; determining, based on the game state information, at least one operation instruction set matching the game state information, and indicating the at least one operation instruction set to the cloud game client, wherein the operation instruction set is obtained by performing operation instruction recognition processing based on a target game video matching the game state information; and in response to receiving a selected target operation instruction set fed back by the cloud game client, generating game image data obtained after the cloud game client correspondingly executes the target operation instruction set, and sending the game image data to the cloud game client.

The application provides a cloud game wireless network optimization method, device and equipment and a computer readable storage medium. The method comprises the following steps: acquiring network detection data of a cloud game wireless network environment and / or cloud game running parameters of the cloud game; determining a network evaluation result of the cloud game wireless network environment according to the network detection data and / or the cloud game running parameters; determining a corresponding network optimization strategy according to the network evaluation result; and optimizing the cloud game wireless network environment according to the network optimization strategy. The cloud game wireless network optimization method can effectively improve the wireless anti-interference capability, reduce congestion, ensure the network quality and improve the running experience of the cloud game under the premise of ensuring the cloud game bandwidth.

The application provides a video processing cooperation method and device, equipment and a storage medium. The method comprises the following steps: sending a video rendering capability request and a video content analysis capability request to a terminal device; receiving a video rendering capability response and a video analysis capability response of the terminal device, wherein the video rendering capability response comprises a video rendering capability of the terminal device, and the video analysis capability response comprises a video analysis capability of the terminal device; determining an optimal video rendering cooperation configuration according to the video rendering capability of the terminal device, and determining an optimal video analysis cooperation configuration according to the video analysis capability of the terminal device. Therefore, the idle computing resources of the terminal device can be fully utilized under limited cloud server computing resources, so that a user can have a better cloud game quality experience.

The invention discloses a cloud game video quality evaluation method based on spatial domain depth features and time domain change features. The method comprises the following steps: step 1, obtaining a to-be-evaluated distorted game video; 2, equally dividing the video into a plurality of segments and selecting key frames; 3, extracting a spatial feature vector; and 4, extracting a time domain feature vector. 5, the time domain feature vector and the space feature vector are connected in series, and a fusion feature vector is formed. And step 6, inputting the fusion feature vector into a multi-layer perceptron (MLP) quality regression module, and outputting a scalar value as a prediction quality score of the video sample. According to the method, the inter-frame change features are extracted in a multi-dimensional mode through physical modeling, the time feature vector and the space feature vector are connected in series to obtain the fusion feature vector, the multi-dimensional time information and the space saliency information of the distorted game video can be extracted more efficiently, and therefore the accuracy of game video quality evaluation is improved.