Patent Application
20240375014
The present application relates generally to auto capturing of computer game video to generate additional video.
Computer game videos can be captured as players play computer games.
As understood herein, computer game video may be automatically captured and used for generating additional video related to gaming which can be beneficial to both game developers and to players. For example, automatically captured game video may be used for debugging and development purposes so that problematic portions of computer games are altered to remove the problems by generating new video versions of the games. In addition or alternatively, portions of games may be automatically captured and used to generate videos exhibiting special or extraordinary gaming performance.
Accordingly, a system includes at least one computer medium that is not a transitory signal and that in turn includes instructions executable by at least one processor assembly to automatically capture at least one computer game video, and use at least a captured portion of the computer game video to generate at least one additional video.
In example embodiments the instructions may be executable to use the captured portion of the computer game video for debugging and development purposes by altering at least one portion of the at least one computer game video. In such examples, the instructions can be executable to detect that plural players are not able to complete a first activity in the computer game video, and responsive to detecting that plural players are not able to complete the first activity in the computer game video, request at least one client computer to capture at least a portion of the computer game video associated with the first activity. The instructions may be executable to determine, from the portion of the computer game video captured by the client computer, at least one issue in the computer game video requiring correction, and correct the issue at least in part by providing at least one replacement computer video to at least one computer video player.
The issue can include one or more of a software bug, at least one incorrect configuration, at least one segment of a computer game that is difficult.
In other implementations the instructions can be executable to use the captured portion of the computer game video to generate at least one video exhibiting special or extraordinary gaming performance. In such cases the instructions may be executable to generate the video exhibiting gaming performance and provide the video exhibiting gaming performance to plural computer gamer systems.
In another aspect, a method includes automatically capturing at least one computer game video, and using the computer game video for generating additional video related to gaming that is beneficial to both game developers and to players.
In another aspect, an apparatus includes at least one processor assembly configured to automatically record at least a portion of at least one video generated by play of at least one computer game, and use the portion that is automatically recorded to generate a new video.
The details of the present application, both as to its structure and operation, can be best understood in reference to the accompanying drawings, in which like reference numerals refer to like parts, and in which:
This disclosure relates generally to computer ecosystems including aspects of consumer electronics (CE) device networks such as but not limited to computer game networks. A system herein may include server and client components which may be connected over a network such that data may be exchanged between the client and server components. The client components may include one or more computing devices including game consoles such as Sony PlayStation® or a game console made by Microsoft or Nintendo or other manufacturer, virtual reality (VR) headsets, augmented reality (AR) headsets, portable televisions (e.g., smart TVs, Internet-enabled TVs), portable computers such as laptops and tablet computers, and other mobile devices including smart phones and additional examples discussed below. These client devices may operate with a variety of operating environments. For example, some of the client computers may employ, as examples, Linux operating systems, operating systems from Microsoft, or a Unix operating system, or operating systems produced by Apple, Inc., or Google. These operating environments may be used to execute one or more browsing programs, such as a browser made by Microsoft or Google or Mozilla or other browser program that can access websites hosted by the Internet servers discussed below. Also, an operating environment according to present principles may be used to execute one or more computer game programs.
Servers and/or gateways may include one or more processors executing instructions that configure the servers to receive and transmit data over a network such as the Internet. Or a client and server can be connected over a local intranet or a virtual private network. A server or controller may be instantiated by a game console such as a Sony PlayStation®, a personal computer, etc.
Information may be exchanged over a network between the clients and servers. To this end and for security, servers and/or clients can include firewalls, load balancers, temporary storages, and proxies, and other network infrastructure for reliability and security. One or more servers may form an apparatus that implement methods of providing a secure community such as an online social website to network members.
A processor may be a single- or multi-chip processor that can execute logic by means of various lines such as address lines, data lines, and control lines and registers and shift registers. A processor assembly may include one or more processors acting independently or in concert with each other to execute an algorithm.
Components included in one embodiment can be used in other embodiments in any appropriate combination. For example, any of the various components described herein and/or depicted in the Figures may be combined, interchanged, or excluded from other embodiments.
“A system having at least one of A, B, and C” (likewise “a system having at least one of A, B, or C” and “a system having at least one of A, B, C”) includes systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.
Now specifically referring to
Accordingly, to undertake such principles the AVD 12 can be established by some, or all of the components shown in
In addition to the foregoing, the AVD 12 may also include one or more input and/or output ports 26 such as a high-definition multimedia interface (HDMI) port or a USB port to physically connect to another CE device and/or a headphone port to connect headphones to the AVD 12 for presentation of audio from the AVD 12 to a user through the headphones. For example, the input port 26 may be connected via wire or wirelessly to a cable or satellite source 26a of audio video content. Thus, the source 26a may be a separate or integrated set top box, or a satellite receiver. Or the source 26a may be a game console or disk player containing content. The source 26a when implemented as a game console may include some or all of the components described below in relation to the CE device 48.
The AVD 12 may further include one or more computer memories 28 such as disk-based or solid-state storage that are not transitory signals, in some cases embodied in the chassis of the AVD as standalone devices or as a personal video recording device (PVR) or video disk player either internal or external to the chassis of the AVD for playing back AV programs or as removable memory media or the below-described server. Also, in some embodiments, the AVD 12 can include a position or location receiver such as but not limited to a cellphone receiver, GPS receiver and/or altimeter 30 that is configured to receive geographic position information from a satellite or cellphone base station and provide the information to the processor 24 and/or determine an altitude at which the AVD 12 is disposed in conjunction with the processor 24. The component 30 may also be implemented by an inertial measurement unit (IMU) that typically includes a combination of accelerometers, gyroscopes, and magnetometers to determine the location and orientation of the AVD 12 in three dimension or by an event-based sensors.
Continuing the description of the AVD 12, in some embodiments the AVD 12 may include one or more cameras 32 that may be a thermal imaging camera, a digital camera such as a webcam, an event-based sensor, and/or a camera integrated into the AVD 12 and controllable by the processor 24 to gather pictures/images and/or video in accordance with present principles. Also included on the AVD 12 may be a Bluetooth transceiver 34 and other Near Field Communication (NFC) element 36 for communication with other devices using Bluetooth and/or NFC technology, respectively. An example NFC element can be a radio frequency identification (RFID) element.
Further still, the AVD 12 may include one or more auxiliary sensors 38 (e.g., a motion sensor such as an accelerometer, gyroscope, cyclometer, or a magnetic sensor, an infrared (IR) sensor, an optical sensor, a speed and/or cadence sensor, an event-based sensor, a gesture sensor (e.g., for sensing gesture command), providing input to the processor 24. The AVD 12 may include an over-the-air TV broadcast port 40 for receiving OTA TV broadcasts providing input to the processor 24. In addition to the foregoing, it is noted that the AVD 12 may also include an infrared (IR) transmitter and/or IR receiver and/or IR transceiver 42 such as an IR data association (IRDA) device. A battery (not shown) may be provided for powering the AVD 12, as may be a kinetic energy harvester that may turn kinetic energy into power to charge the battery and/or power the AVD 12. A graphics processing unit (GPU) 44 and field programmable gated array 46 also may be included. One or more haptics generators 47 may be provided for generating tactile signals that can be sensed by a person holding or in contact with the device.
Still referring to
Now in reference to the afore-mentioned at least one server 52, it includes at least one server processor 54, at least one tangible computer readable storage medium 56 such as disk-based or solid-state storage, and at least one network interface 58 that, under control of the server processor 54, allows for communication with the other devices of
Accordingly, in some embodiments the server 52 may be an Internet server or an entire server “farm” and may include and perform “cloud” functions such that the devices of the system 10 may access a “cloud” environment via the server 52 in example embodiments for, e.g., network gaming applications. Or the server 52 may be implemented by one or more game consoles or other computers in the same room as the other devices shown in
The components shown in the following figures may include some or all components shown in
Present principles may employ various machine learning models, including deep learning models. Machine learning models consistent with present principles may use various algorithms trained in ways that include supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, feature learning, self-learning, and other forms of learning. Examples of such algorithms, which can be implemented by computer circuitry, include one or more neural networks, such as a convolutional neural network (CNN), a recurrent neural network (RNN), and a type of RNN known as a long short-term memory (LSTM) network. Support vector machines (SVM) and Bayesian networks also may be considered to be examples of machine learning models. However, a preferred network contemplated herein is a generative pre-trained transformer (GPTT) that is trained using unsupervised training techniques described herein.
As understood herein, performing machine learning may therefore involve accessing and then training a model on training data to enable the model to process further data to make inferences. An artificial neural network/artificial intelligence model trained through machine learning may thus include an input layer, an output layer, and multiple hidden layers in between that that are configured and weighted to make inferences about an appropriate output.
Turning to
Proceeding to block 402, based on the captured segments of game play video, a replacement video is generated.
If not, the logic may end at state 502, but if at least N players of N respective computer game portions (or a threshold percentage of players) whose videos were automatically captured were unable to complete a particular activity demanded by the computer game, the logic may move to block 504 to request additional recordings of the portion or segment from additional game systems associated by computer gamers.
Based on the cumulative recordings of the segment or portion of the computer game play video it is determined at state 506 if the difficulty was caused by a software flaw or bug in the game. This may be done manually by a game expert examining the computer game code or by a machine learning (ML) model examining the computer game code. In the latter case the ML model may be trained on good and bad code to recognize bugs in software.
Additionally, state 508 indicates that it may be determined whether the difficulty was caused by an error in system configuration. This may be done manually by a game expert examining the computer game code or by a machine learning (ML) model examining the computer game code. In the latter case the ML model may be trained on good and bad configurations.
Yet again, state 510 indicates that it is determined whether the difficulty was caused by the computer game being too difficult during the portion or segment of game play that was captured. This may be done manually by a game expert examining the computer game code or by a machine learning (ML) model examining the computer game code. If it is determined that the problem is a game sequence that is simply too hard, the logic may move to block 512 to cause manual or automatic creation (using, e.g., a ML authoring or generative model) of an easier version of the computer game, which may then be disseminated to gamers.
Reverting to states 506 and 508, in the event that the difficulty is caused by a software bug or an erroneous system configuration, the problem is fixed in the code or system at block 514 and the resulting corrected version of the game is disseminated to gamers.
Thus, after determining the root cause of the difficulty, the game developer can then fix, tweak, or hide the activity depending on the situation. This would result developers determining issues faster, resolving them quicker and keep their players from churning out of the game.
Thus, present principles facilitate autocapture of normal activities for players when they achieve something special or extraordinary. In this way, the best players moments is captured on the system and then either shared those to the relevant user's profile as a top achievement/accomplishment and/or share to a social network as user generated content strand. The clips of exceptional play may be sold on a game system store sire. Videos of exceptional play can generate excitement and interest for others to try to match that performance. Seeing the content on the game system store is equally important because users see players in the community playing the game and playing it well, which is in enticement to purchase the game.
While the particular embodiments are herein shown and described in detail, it is to be understood that the subject matter which is encompassed by the present invention is limited only by the claims.
