34 results about "Cloud gaming" patented technology

The application discloses a game processing method and device, electronic equipment and a storage medium, comprising: in response to triggering an authentication operation for a target cloud game in a target application subroutine, obtaining authentication data; sending the authentication data to an authentication server to determine an authentication result based on the authentication data through the authentication server, and generating target authentication credential information corresponding to the target cloud game according to the authentication result; receiving the target authentication credential information returned by the authentication server, and generating a game start request based on the target authentication credential information; sending the game start request to a cloud game server; receiving the media stream transmitted by the cloud game server to display the media stream through the target application subroutine. The application decouples the login process and the cloud resource allocation process, significantly reduces the idle loss of cloud computing resources, improves the utilization rate of computing resources, and significantly reduces the overall operation cost and resource overhead of cloud games.

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.

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 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.

This disclosure provides a method, apparatus, device, and storage medium for multi-screen display in cloud gaming. After the target cloud game is launched, at least two streaming nodes are created on the cloud game server. These streaming nodes provide connection entry points to the target cloud game for cloud game clients. In response to game operation requests sent by at least two cloud game clients to the cloud game server, video frames corresponding to the request content of each game operation request are generated within the game process container. The target streaming nodes on the cloud game server then return the video frames corresponding to the request content of each game operation request to the at least two cloud game clients that sent the game operation requests. This enables multiple cloud game clients to simultaneously access and interact with the same target cloud game, improving the interactivity of cloud games and increasing the utilization efficiency of cloud game resources.

The application provides a GPU resource dynamic allocation method and device, electronic equipment and medium. The method collects real-time running data of multiple cloud games of a target tenant in a cloud game platform and inputs the data into a pre-trained load prediction model to determine a total GPU resource demand prediction amount of the multiple cloud games in a future target time window and a GPU resource demand prediction value of each cloud game. The total resource amount of a GPU resource pool is adjusted based on the total GPU resource demand prediction amount. Based on the GPU resource demand prediction value of each cloud game, a preset frame rate and a preset delay target value, a target GPU resource adjustment amount of the cloud game is determined, and a game type-resource demand portrait is determined to determine a target GPU instance of the cloud game. Thus, the GPU cluster resource utilization is improved while ensuring user experience.

Embodiments of the present disclosure relate to a server architecture for supporting cloud gaming, the server architecture comprising: at least one CPU node bin, at least one GPU node bin and at least one CMC management bin; the number of CPU nodes in all CPU node bins and the number of GPU nodes in all GPU node bins conform to a preset matching relationship; the number of CPU nodes in each CPU node bin is less than or equal to four; adjacent CPU nodes communicate via a relay board; the number of GPU nodes in each GPU node bin is less than or equal to four; each GPU node is electrically connected to at least one CPU node via a cable assembly; the CMC management bin comprises: at least three levels of management cards and a plurality of CMC cards; each CMC card and at least one management card form a management assembly, and the management assembly is used for managing the CPU nodes in the CPU node bin. The above-mentioned server architecture can realize flexible combination of CPU modules and GPU modules supporting cloud gaming, realize personalized service, and improve user experience.

The present application relates to the cross field of cloud game and artificial intelligence, and particularly to a cloud game acceleration method based on QoE prediction, which compares real experience data such as client frame rate, lag and subjective score with the predicted value of the model, and converts the prediction error into a reward signal of reinforcement learning: if the prediction is accurate, a positive reward is given to strengthen the current decision logic, and if the prediction is biased, a negative reward is given to drive parameter adjustment. Through this continuous online learning closed loop, the expert large model continuously deepens the understanding of individual players and general laws, making the deduction of the digital twin model increasingly accurate and promoting the overall continuous evolution of the system. As a result, the system realizes the transition from the traditional mode of "passive response, one-sided optimization and one-size-fits-all" to the personalized service of "active prediction, global collaboration and one strategy for one person", which can dynamically adapt to the equipment, network and habits of each player and truly provide customized optimal experience guarantee.

Some cloud gaming and other remote game environments require a user to wait in a queue before playing a game. During this time, the user may be concerned that they will lose their place in the queue if they close the window displaying the game to do another task on the computing device. If the user decides to do something away from the computing device while waiting in the queue, it is possible that the user will be unaware when they progress out of the queue and miss their opportunity to play the game. This can be a frustrating experience for the user. The embodiments presented herein can be used to address this situation.

Ultra-low-latency video encoding and rate control methods and systems are configured to minimize latency in applications such as cloud gaming and real-time communication. The methods and systems enhance complexity estimation and buffer management. A dynamic rate controller architecture adjusts encoding based on complexity and buffer status, ensuring consistent bitrate and quality. Deep learning models predict optimal encoder instances and quantization parameter (QP) distributions, improving encoding efficiency. System architectures, pseudocode for bitrate and QP calculations, and training and testing phases for deep learning models are also provided.

This invention provides a smart battery charging and discharging simulation method and related equipment, applied to cloud gaming services. It obtains the battery level, charger connection status, charging and discharging speed parameters, and upper and lower battery level thresholds at the start of the cloud gaming service through a standard Android application programming interface (API), and then activates a battery simulation switch. When the battery simulation switch is activated, charging and discharging are simulated on an information processor thread based on the battery level, upper and lower battery level thresholds, and charger connection status. The simulation results are obtained, and the battery level is updated according to the simulation results and charging and discharging speed parameters to obtain the updated battery level. Compared with existing technologies, this invention automatically discharges when the battery level reaches the upper limit and automatically charges when it reaches the lower limit, forming a continuous charging and discharging cycle, thus realizing automatic charging and discharging cycle control of the smart battery.

A method for information processing in a game. The method comprises: in response to a multi-account login operation, loading a cloud game address on a mobile terminal by means of WebView, and displaying a cloud game window on a first game picture in a floating manner; displaying a second game picture in the cloud game window, wherein the second game picture includes a second virtual object that is located in a second game scene and corresponds to a second game account; in response to a first control operation for a first virtual object in the first game picture, controlling the first virtual object to execute a first virtual interaction behavior in the first game scene; and in response to a second control operation for the second virtual object in the second game picture, controlling the second virtual object to execute a second virtual interaction behavior in the second game scene. In this way, an improvement in the smoothness and control efficiency of switching different game accounts is facilitated; moreover, the data processing volume of a mobile terminal can be reduced, thereby lowering the performance overheads of the mobile terminal.

The application discloses a cloud game running method and related equipment, and the related embodiments can be applied to various scenes such as cloud technology, artificial intelligence and intelligent transportation. When a first game account of a target object is not scheduled to game service resources of a target cloud game, a game waiting page can be displayed. In response to a selection operation on description information of a target recommended cloud game, a game page corresponding to the target recommended cloud game is displayed based on a second game account of the target object. When the first game account is scheduled to the game service resources, a game selection page is displayed. In response to a trigger operation on a game switching control, the target cloud game is switched into through the first game account. The application can improve the game experience of the target object by experiencing the recommended cloud game through another game account when the first game account of the target object is queued to obtain the game service resources of the target cloud game, and entering the target cloud game through the game switching control when the queuing ends.

A cloud gaming terminal device includes a playback quality evaluation unit and a feedback engine client. The playback quality evaluation unit is configured to generate at least one playback quality evaluation parameter based on information provided by at least one of a network interface control unit, a media decoding unit, and a media rendering unit within the cloud gaming terminal device. The feedback engine client is configured to transmit at least one playback quality evaluation parameter to a cloud gaming server through a network. The cloud gaming server is configured to adjust at least one media encoding parameter of a media stream according to the received playback quality evaluation parameter.

Ultra-low-latency video encoding and rate control methods and systems are configured to minimize latency in applications such as cloud gaming and real-time communication. The methods and systems enhance complexity estimation and buffer management. A dynamic rate controller architecture adjusts encoding based on complexity and buffer status, ensuring consistent bitrate and quality. Deep learning models predict optimal encoder instances and quantization parameter (QP) distributions, improving encoding efficiency. System architectures, pseudocode for bitrate and QP calculations, and training and testing phases for deep learning models are also provided.

Ultra-low-latency video encoding and rate control methods and systems are configured to minimize latency in applications such as cloud gaming and real-time communication. The methods and systems enhance complexity estimation and buffer management. A dynamic rate controller architecture adjusts encoding based on complexity and buffer status, ensuring consistent bitrate and quality. Deep learning models predict optimal encoder instances and quantization parameter (QP) distributions, improving encoding efficiency. System architectures, pseudocode for bitrate and QP calculations, and training and testing phases for deep learning models are also provided.

The embodiment of the present disclosure discloses a cloud game control method and device, electronic equipment, storage medium and product, wherein the method comprises: obtaining preset device information of a corresponding handle device when obtaining a handle connection event; interacting with a target cloud game server according to the preset device information to register the handle device, and determining a device management number for the registered handle device; obtaining a handle operation event, and forwarding the handle operation event to the target cloud game server based on the device management number associated with the handle operation event, so as to realize corresponding cloud game operation control. The technical scheme of the embodiment of the present disclosure solves the problem that the number of game handles connected has limitations and limits the game scene, can support multiple handle devices to be connected and managed simultaneously by one cloud game client, and can enable users to experience multi-party cooperative games based on the same cloud game client, thereby achieving the goal of expanding the cloud game scene.

The application discloses a cloud desktop direct input system and method based on an independent cellular network. The system comprises: a smart mouse terminal, which is internally provided with a 5G / 6G module and an eSIM, directly accesses the Internet through a cellular network as an independent Internet of Things device, and does not depend on any local relay device; a cloud input agent service, which receives and executes mouse instructions; a display control terminal, which is physically separated and receives display cloud desktop video streams; and a two-dimensional code scanning initialization binding method. The mouse terminal fuses optical sensor and IMU data through linear Kalman filtering, dynamically predicts cursor displacement based on network delay, and directly reaches the cloud through a self-defined 32-byte low-delay protocol. Prototype machine testing shows that the end-to-end delay is reduced by 51.2% in the 5G SA mode. Users only need to carry a smart mouse, can access a personal cloud desktop seamlessly at any location in the world with the help of any display device through one-time scanning, and are suitable for mobile office, cloud gaming, remote technical support and other scenes.

The method comprises the following steps: after detecting that a target cloud game is started, obtaining a target frame timestamp and determining a frame rate fluctuation coefficient; determining an input data interpolation frame mode of the target cloud game according to the target frame timestamp and the frame rate fluctuation coefficient; determining interpolation data frame information of the target cloud game according to the input data interpolation frame mode and the buffered information in a created data buffer queue; and updating game picture information of the target cloud game according to the interpolation data frame information. By using the method, the interpolation data frame as the input frame can be determined according to the received timestamp of the information input frame and the frame rate fluctuation coefficient in the cloud game running, and the game picture information is formed through the interpolation data frame. The processing mode guarantees the continuity of the game input information, better reduces the input delay, and thus improves the operation accuracy and smoothness of the player on the cloud game.

This invention relates to the field of data security technology, specifically to a cloud-based system for efficient storage and recovery of game security data. The system includes a heterogeneous dual-track compilation module, used to compile and output main and backup track program files based on the game logic calculation node source code, generating a dual-track heterogeneous execution carrier, and calculating and generating a dual-track status checksum based on the dual-track heterogeneous execution carrier. In this invention, the dirty page bitmap index parameters are used to match the underlying memory page table of the exception stack, forming a set of damaged memory addresses. Then, the memory page data associated with the original redundant backup pages is extracted by address and overwritten, while the execution frame records within the exception stack are cleared. This allows the recovery action to simultaneously cover both the data and execution planes, repairing the damaged page content and eliminating the continuous interference of residual call chains on subsequent operations. This is suitable for high-concurrency cloud gaming scenarios with requirements for both real-time performance and security.

This application discloses a video data processing method, apparatus, device, and storage medium, applicable to scenarios such as cloud gaming in cloud technology. The method includes: obtaining a target recursive partitioning strategy for a unit to be encoded in a target video frame, and encoding parameters for the unit to be encoded; partitioning the unit to be encoded according to the target recursive partitioning strategy to obtain N first sub-units to be encoded; obtaining the encoding parameters corresponding to each of the N first sub-units to be encoded, and determining the parameter relationship between the encoding parameters of the unit to be encoded and the encoding parameters corresponding to the N first sub-units to be encoded; if the parameter relationship indicates that the unit to be encoded does not meet the conditions for further partitioning, then pausing the further partitioning of the unit to be encoded, and determining the target partitioning result of the unit to be encoded based on the first sub-units to be encoded and the unit to be encoded. This application reduces the complexity of the video data encoding process and improves the encoding efficiency of video data.

Various embodiments of the present disclosure provide an electronic device for minimizing and / or reducing a delay occurring in transmitting a game command input to a game server by separating a process dedicated to inputting a game command, in a cloud game environment.