107 results about "Gaming video" patented technology

Provided are a context-aware model generating method, an important event determining method, and an in-game context management server for performing the same methods. The context-aware model generating method includes generating a context-aware model which determines whether an important event of a video game occurs by using in-game data, utterance data, and chat data collected from the video game capable of being broadcasted as a sports game video. The important event determining method includes combining candidate events predictable from each of the in-game data, the utterance data, and the chat data based on the context-aware model, and determining, as an important event, a candidate event including a duplicate game content among candidate events.

In examples, a device's native input interface (e.g., a soft keyboard) may be invoked using interaction areas associated with image frames from an application, such as a game. An area of an image frame(s) from a streamed game video may be designated (e.g., by the game and / or a game server) as an interaction area. When an input event associated with the interaction area is detected, an instruction may be issued to the client device to invoke a user interface (e.g., a soft keyboard) of the client device and may cause the client device to present a graphical input interface. Inputs made to the presented graphical input interface may be accessed by the game streaming client and provided to the game instance.

The invention discloses a basketball player posture detection method and system based on deep learning, relates to the technical field of sports science, and is used for solving the problem of accuracy of player posture detection in basketball sports. According to the method, basketball motion videos are collected from multiple visual angles, the videos are preprocessed, video quality scores are calculated, and the videos are classified. Different key point optimization detection modes are adopted for A-class videos and B-class videos, further, myoelectricity and electroencephalogram signals are fused, the physiological state score of an athlete is calculated, the attitude key point confidence coefficient is dynamically adjusted, and the detection accuracy is improved. And finally, calculating the matching degree of the attitude key point sequence in the video through dynamic time warping. The method can detect the posture of the basketball player at high precision in a complex environment, has high robustness, and is suitable for exercise training and tactical analysis.

The invention relates to the technical field of electric power distribution, and provides an AI-based CPU idle electric power distribution system for a PC, which can flexibly optimize CPU electric power distribution according to real-time data of different scenes by virtue of an AI algorithm, meets diversified workload requirements, has the advantages of energy conservation, performance and adaptability, brings more efficient and stable use experience for PC users, and has better application prospects in the aspect of energy conservation. The system can accurately sense load changes and adjust the power supply voltage and frequency of a CPU in real time, in office, game and video editing scenes, power consumption is reduced compared with a traditional system, electric power waste is effectively reduced, the use cost is reduced, in terms of performance, the system greatly improves user experience, software and a browser run smoothly during office, the frame rate is stable during game playing, and the service life of the system is prolonged. Video editing and rendering are fast, and preview is not blocked.

The invention provides a motion trail prediction method and system based on a human body space-time interaction relationship, and belongs to the technical field of motion trail prediction. Comprising the steps of performing three-dimensional human body posture estimation and two-dimensional point estimation on a court where players are located based on a sports competition video, and extracting motion posture data and track coordinates of the players; extracting a posture interaction relationship based on the motion posture data, and calculating a posture relationship adjacency matrix between players; extracting spatial features and time domain features in the attitude relation adjacency matrix by using a three-dimensional convolutional neural network, and solving the interaction strength between players to obtain a player interaction relation adjacency matrix; the player interaction relation adjacency matrix is converted into a group of row vectors to serve as time sequence interaction relation vectors of all players, and the row vectors and the trajectory coordinates of all the players are fused into input vectors of a trajectory prediction model; and inputting the player input vector and the time sequence interaction relationship vector into a trajectory prediction model for prediction to obtain a future motion trajectory coordinate considering the interaction relationship between players.

A system comprising a game execution unit configured to execute a game, wherein executing the game comprises rendering a plurality of image frames for display to a player of the game, a game information obtaining unit configured to obtain information about the execution of the game, including obtaining information, corresponding to an image frame currently being rendered, a complexity estimation unit configured to estimate a spatial and / or temporal complexity of the image frame being rendered in dependence upon the obtained information, a parameter selection unit configured to select one or more encoding parameters in dependence upon the estimated spatial and / or temporal complexity, and an encoding unit configured to encode the video of the game being executed using the selected encoding parameters, the encoded video comprising the plurality of image frames for display to the player.

The invention relates to a high-motion table tennis trajectory tracking method, which comprises the following steps of: performing motion blur correction on an original table tennis competition video, reducing motion blur, and enabling the edge and the texture of a table tennis to be clearer; then super-resolution reconstruction processing is carried out, the pixels of the table tennis balls in the frame images are increased, and the omission ratio is reduced when the improved YOLOv7 network model is adopted to carry out multi-scale small target detection on the frame images after super-resolution reconstruction subsequently; next, an improved DeepSORT algorithm is adopted to track the bounding box video frame sequence detected in the second step to generate continuous two-dimensional coordinates, tracking position errors are reduced, then a three-dimensional track is obtained through monocular depth estimation and table plane constraint reconstruction, the whole process is subjected to assembly line design, error accumulation of traditional staged processing is avoided, and the tracking accuracy is improved. Four difficulties of small targets, motion blur, shielding and complex backgrounds are jointly solved, and the average success rate gt of the whole process is obtained; 90%.

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 invention discloses a cultural transmission knowledge graph construction method based on game video content analysis, and the method combines deep learning, natural language processing and multi-modal data fusion technologies, and is dedicated to deep mining and structured representation of cultural knowledge elements and transmission association thereof from mass and multi-modal game video data. And constructing a knowledge graph serving cultural transmission research and practice. The method not only provides an important theoretical tool for understanding a new mechanism of cultural transmission in the digital era, but also opens up an innovative technical path for actively, accurately and efficiently bearing and transmitting the cultural value by using game media, and has remarkable theoretical value and application potential.

Embodiments of the present disclosure relate to a game live interaction method and device, equipment and medium, wherein the method comprises: receiving a connection request of at least one watching client participating in a live broadcast room starting a multi-player game; in response to the connection request, establishing a corresponding game interaction channel with the at least one watching client, and receiving an operation instruction triggered by a first game object corresponding to the live broadcast room of the at least one watching client through the game interaction channel, and transmitting game video information of the live broadcast room, wherein the game video information comprises video information of the first game object controlled according to the operation instruction triggered by the at least one watching client, and video information of a second game object controlled according to an operation instruction triggered by the anchor client to the second game object corresponding to the live broadcast room. Thus, a user watching the live broadcast can realize connection with the anchor user of the live broadcast end for playing the game without exiting the live broadcast room, thereby expanding the application of the multi-player game and improving the live broadcast interaction experience.

To help a computer game player in understanding a computer game, upon pausing the game, visual subtitles may be presented. In addition, or alternatively, Braille representing subtitles may be output as a series of vibrations on a touch pad of the controller. When the person's finger reaches the edge of the touch pad, a new series of Braille subtitles may be presented. Depending on where the player is in reading the subtitles and how fast the player reads them, the game video may be slowed down from normal speed.

The present invention belongs to the field of methods and devices for playing casino games, more precisely to the field of devices and methods for playing roulette and similar games or derivatives thereof, which can be played as a casino table game or as a video or internet game. The invention relates to a game based on roulette and a method of playing said game. A conventional game of roulette has multiple winners only if everyone has bet on the same winning number or combination. The roulette game according to the invention can have multiple different bets and multiple different scores, since instead of one ball or arrow to mark the winning number or field, it uses two or more balls or arrows to mark the winning numbers or fields on one roulette wheel, where the game is played by at least two players who play against each other and not against the casino (house). The number of players is not limited upwards, and the number of balls or arrows can be at most one less than the total number of fields on the wheel. The game according to the invention thus allows for multiple winners and losers in a single game. Instead of a roulette wheel, a wheel of fortune or any other rotating body can be used, provided that the surface of the wheel with numbers and / or colors is divided into at least two surfaces. Like the number of players, the number of different surfaces is not limited upwards and can be adjusted according to the number of players playing the game.

The application discloses a kind of based on deep learning's basketball player posture detection method and system, it is related to sports science technology field, to solve the accuracy problem of player posture detection in basketball game;The method collects basketball game video from multiple perspectives, and pre-processes video, calculates video quality score, and classifies video.For A type video and B type video, different key point optimization detection methods are used, further, muscle and brain electrical signals are fused, the physiological state score of player is calculated, the posture key point confidence is dynamically adjusted, and the detection accuracy is improved.Finally, the matching degree of posture key point sequence in video is calculated by dynamic time warping.The application can detect the posture of basketball player with high precision in complex environment, has strong robustness, and is suitable for sports training and tactical analysis.

This invention relates to the field of game video generation technology, and particularly to a method for real-time generation of interactive pixel-style game videos. The method includes the following steps: establishing a real-time interactive driving mechanism based on a diffusion transformer; establishing a memory consistency constraint mechanism based on a Transformer memory mapping module; constructing a pixel-style optimization module using an encoder and decoder; reconstructing pixel-style video frames using an end-to-end diffusion transformer architecture; and generating interactive pixel-style game videos in real-time based on these pixel-style video frames. This supports core scenarios such as real-time development and live interactive streaming of pixel-style games.

1. The name of this design product: 3D vision camera. 2. Purpose of this design product: Used for MR human-computer interaction, it integrates MR and AI chips, and uses 3D visual cameras to realize body sensing, gesture and other functions based on body posture and movement perception; product application scenarios include games, videos, voice interaction, education, music, medical care, fitness, social networking, projection, television, security and other fields. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

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 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.

A method implemented by at least one computing device is provided for verified recognition for a video game, including: executing a session of a video game, wherein the execution of the session generates gameplay video, and wherein the execution of the session further includes execution of instrumentation of the video game that outputs game event data; using an artificial intelligence (AI) recognition model to analyze the gameplay video and generate an AI-generated description of gameplay events occurring in the gameplay video; using the game event data to verify the AI-generated description; storing the verified AI-generated description to a storage device.

The invention relates to a billiard game intelligent management system based on AI visual analysis, and belongs to the technical field of management systems, and the system comprises a high-definition camera which is installed above a billiard table and is used for collecting a game video stream; the AI edge calculation box is internally provided with a GPU / NPU, runs a deep learning model and is used for performing real-time analysis on the competition video stream acquired by the high-definition camera; the billiard recognition model is a ball detection and trajectory tracking model trained based on a YOLO or DeepLab algorithm; the rule engine module is used for carrying out logic judgment according to billiard match rules; the mobile application / large screen system is used for displaying real-time scores, wonderful playback and match data; and the storage server is used for storing the video clips, the match logs and the wonderful instant marks.

The present disclosure relates to a live streaming interaction method, a live streaming system, a readable medium and an electronic device, used for increasing interaction among multiple live streams the basis of a cloud game, and improving the interestingness of the live streams. The method comprises: displaying a first live streaming interface of a target live stream, wherein the first live streaming interface displays a game battle picture of a target cloud game, and the live streamer information of live streamers participating in the target live stream and other live streams of the target cloud game; in response to an interaction operation for a target interaction live streamer, determining a game interaction instruction corresponding to the interaction operation, wherein the target interaction live streamer is one of the live streamers of the target live streams and the other live streams; receiving game video stream data for updating the target cloud game, wherein the game video stream data is generated at least on the basis of the game interaction instruction and game operation instructions of the live streamers; and on the basis of the game video stream data, updating the game battle picture displayed by the first live streaming interface.

A game settlement method and apparatus, and an electronic device. If a game match ends, a game match result of a first game faction and object models of virtual objects corresponding to the first game faction are displayed in a graphical user interface; in response to a first trigger operation for a target object model, a target game parameter for evaluating the match performance of a target virtual object corresponding to the target object model in the game match is adjusted, and the permission to respond to a second trigger operation is configured for the target object model; and in response to the second trigger operation for the target object model, a target game video of the target virtual object is played in the graphical user interface. In the method, when a game match ends, a game match result and object models of virtual objects in a first game faction are displayed in a graphical user interface, and players can evaluate the performance of the virtual objects in the game match by triggering the object models, so as to view game videos of the virtual objects during a game process after the evaluation is completed. (FIG. 1)

A computerized method for facilitating execution of an interactive live game by a processor of a game server, is provided. The method includes receiving a request of a player to participate in an interactive live game; executing an interactive game; based on the executed game, transmitting, to a video processor, game display data and virtual reality data, the virtual reality data including data pertaining a virtual reality environment comprising at least two themes. Based on the executed game, transmitting game events, thereby facilitating the player's device to create a composited video stream comprising a live game video stream captured in a live studio in which an operator operating a mobile activation button, and data that pertains to the generated game events. In response to receiving an input from the mobile activation button, game server transmits transition data indicative of switching between the at least two themes in the environment.

The invention provides a non-reference cloud game video quality evaluation method and equipment based on local and global information fusion, and the method comprises the following steps: 1, obtaining a cloud game video needing to be evaluated, extracting K frames of images from the whole video frame at equal intervals as key frames, step 2, respectively sending the extracted key frame into a depth feature extraction branch and a traditional feature extraction branch, for the depth feature extraction branch, cutting an area with a specified size from the key frame, processing the area to obtain global texture features, and for the traditional feature extraction branch, obtaining global texture features; and step 2, obtaining local depth features from a specific time-space domain local region of the key frame through a residual convolutional network, and step 3, splicing the features obtained by the two branches and sending the spliced features to a multi-layer perceptron quality regression device to obtain a final video quality score. According to the scheme, global and local information can be jointly utilized, the quality problems of blocking effect, fuzziness, texture distortion and the like are effectively reflected, and high-precision and light-weight cloud game video quality evaluation is achieved.

The invention relates to the technical field of terminals, in particular to a display frame rate adjusting method, electronic equipment and a storage medium, and the method comprises the following steps: currently running a first application, such as a game and a video application, and displaying a display interface of the first application at a first display frame rate; acquiring that the electronic equipment has a first average shell temperature at a first moment when the first application runs; if the difference value between the first average shell temperature and the temperature reference value meets the reference value adjusting condition, the temperature reference value is adjusted from the first temperature value to a second temperature value based on the first average shell temperature, for example, the temperature reference value is increased, and the first display frame rate is adjusted to a second display frame rate, for example, the display frame rate is increased. According to the scheme of the embodiment of the invention, the temperature reference value can be adjusted in real time, and the situation that the frame rate is greatly adjusted due to the large change of the temperature difference is avoided, so that the control of the overall frame rate is smoother.

The invention provides an information display method and device in a game, terminal equipment and a storage medium, a graphical user interface is provided through the terminal equipment, at least part of a game scene is displayed in the graphical user interface, and the method comprises the steps that a game map corresponding to the game scene is displayed; according to historical game data corresponding to the game scene, identifying at least one dangerous point location in a game map; and in response to a trigger instruction for a target dangerous point location in the identified dangerous point locations, playing a game video of a game role associated with a game scene position corresponding to the target dangerous point location in the game in the graphical user interface.

1. The name of the design product: home intelligent terminal (MR). 2. The use of the design product: integrated MR, AI intelligent hardware and 3D vision module, through computer 3D vision, MR mixed reality technology, realize human-computer intelligent interaction, product application scene includes game, video, voice interaction, education, medical treatment, fitness, social, security and other fields. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

Techniques are described for reducing latency in computer game network streaming using a machine learning (ML) model (402) to determine (606, 608) an optimal bite rate / frame rate / resolution for encoding the video of the computer game to satisfy a just noticeable difference (JND) threshold while minimizing the amount of data being sent.

The invention discloses a data processing method of a game picture rendering system. The data processing method comprises the steps that a cloud server obtains rendering parameters of a cloud game picture of a user side; according to different rendering parameters of the cloud game picture selected by the user side, quickly calculating streaming code rate data of the cloud game picture; converting a game picture corresponding to a result into a game picture of a corresponding rendering parameter according to the streaming code rate data of the cloud game picture; carrying out picture node depth division on the converted game picture video frame data, obtaining game picture video frame data before a preset picture node depth of the cloud server, and preferentially transmitting the game picture video frame data to a user side for display; and gradually transmitting the game picture video frame data after the picture node depth preset by the cloud server according to the improvement of the game picture node depth clicked by the user side. According to the method and the device, the problems that the broadband transmission data space is occupied and the game loading duration is too long in the issuing process of the existing cloud game due to too large game video frame data are solved.

SOLUTION: A controller device for interactive gameplay of a video game configured to be handheld by a user includes: at least one motion sensor, the motion sensor generating motion data in response to movement of the controller device when handheld by the user during the interactive gameplay of the video game; a wireless communications device that receives gameplay video over a network from a remotely executing session of the video game; and a projector, the projector being integrated with the controller device and configured to project the gameplay video onto a projection surface in a local environment, the projection of the gameplay video being stabilized based on the motion data.SELECTED DRAWING: Figure 1

The invention provides a game settlement method and device and electronic equipment, and the method comprises the steps: displaying a game match result of a first game camp and an object model of each virtual object corresponding to the first game camp in a graphical user interface if the game match is finished; in response to a first trigger operation for the target object model, adjusting a game expression target game parameter used for evaluating a target virtual object corresponding to the target object model in the game game, and configuring an authority for responding to a second trigger operation for the target object model; and in response to a second trigger operation for the target object model, playing a target game video of the target virtual object in the graphical user interface. According to the method, when the game is finished, the game result and the object model of each virtual object in the first game camp are displayed in the graphical user interface, and a player can evaluate the performance of the virtual object in the game by triggering the object model so as to check the game video of the virtual object in the game process after the evaluation is finished.