367 results about "Video output" patented technology

The invention provides a multi-screen cabin entertainment system, and relates to the technical field of embedded systems and intelligent cabins, and the multi-screen cabin entertainment system is characterized in that an application layer is deployed with a plurality of cabin entertainment applications, and when the application layer is started, content rendering requests are sent out respectively; the hardware layer is provided with a development board, is provided with a CPU core cluster and a coprocessor, and is connected with different cabin display screens through different video output interfaces. The system layer respectively distributes an independent thread and an independent frame buffer area for each content rendering request on the CPU core cluster, and establishes a mapping relation between each frame buffer area and each video output interface; and sending operation result data of each independent thread to a coprocessor for rendering, correspondingly storing a rendering result in a frame buffer area, and then sending the rendering result to a cabin display screen for display through a video output interface. The method has the advantages that on the premise that the number of hardware coprocessors is not increased, complete separation of multi-screen rendering threads and frame buffer is achieved, and multiple cockpit entertainment applications can run at the same time and do not interfere with one another.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a video output using an autoregressive token generation neural network model In one aspect, a system comprises obtaining a model input, processing the model input to generate an input sequence of embeddings that represents the model input, autoregressively generating a plurality of output sequences of tokens, wherein each output sequence of tokens corresponds to a respective output modality of tokens from a set of a plurality of modalities that includes a video modality and one or more other modalities, and generating a model output that includes a video output of the video modality by decoding the sequence of tokens.

The invention provides an adaptive contrast enhancement video fusion algorithm for a complex logistics scene, and the algorithm comprises the steps: extracting environment features from an initial video data set, analyzing the inter-frame illumination change and object movement speed through employing a convolutional neural network, determining that the current scene is a peak period or a low-illumination environment, and obtaining environment change perception parameters; extracting a key frame from the second video data set, separating a foreground object and a background by adopting an image segmentation technology based on deep learning, and performing detail retention enhancement on the foreground object to obtain a third video data set; real-time verification is carried out on the final video output, if the processing delay exceeds a preset threshold value, the resource distribution proportion is adjusted through a feedback mechanism, mode switching and enhancement processing are executed again, and the updated video output is obtained.

The invention discloses an AI video output system and method combined with a text image model, and relates to the technical field of AI video output, and the system comprises a visual angle conversion and multi-visual angle generation module which comprises a visual angle encoder and a multi-visual angle generator based on semantic-style hidden representation and visual angle vectors, the method is used for generating a multi-angle illustration sequence aiming at different camera parameters and keeping structure and style consistency among different visual angles through time domain consistency constraint in the generation process. According to the method, the artistic style is propagated and maintained among multiple frames and multiple visual angles according to a three-dimensional visual angle transformation rule through visual angle perception style propagation, and the generator outputs a consistent multi-angle illustration sequence under the constraint of a visual angle condition during sampling, so that the problem of inconsistent style drift and deformation under multiple visual angles or multiple lenses is solved; the incoherence of stroke, texture and main body structure caused by visual angle change is avoided, the later manual correction is obviously reduced, and the content consistency and the impression professional degree are improved.

According to the video stream image optimization method and device provided by the embodiment of the invention, a dynamic fuzzy kernel generation mechanism is innovatively designed, and the data processing security is ensured through space-time decoupling and physical constraint. A content-motion double-branch network is constructed, and a reliable feature reconstruction system is established in combination with residual connection and space-time transformation. A physical constraint corrector is introduced, and high-quality video output is provided while user privacy is protected through adaptive fusion and rule correction. According to the method, the defects of the traditional technology in the aspects of fuzzy processing, feature decoupling, image optimization and the like are effectively overcome.

The invention provides a portrait animation generation method, device and system based on audio driving and a medium. The method comprises the following steps: acquiring a figure picture and animation voice data; inputting the character picture and the animation voice data into an animation generation model to obtain a portrait animation video output by the animation generation model; wherein the animation generation model is obtained by training according to a character picture sample and a motion label and a video sample corresponding to the character picture sample; and the animation generation model is used for extracting picture features according to an input figure picture, extracting audio features according to input animation voice data, performing stream matching in combination with an emotion tag predicted based on the audio features, predicting a corresponding video frame based on a potential feature sequence obtained based on a stream matching result, and obtaining a portrait animation video. According to the method, the video can be quickly generated, and natural emotion expression, consistent time sequence and stable generation of the video are ensured.

Systems and methods are disclosed related to a 3D grounded video foundation model. A video generation method and system provide 3D conditioning information to a video diffusion model to improve generated video quality (object and temporal consistency) that is grounded in three dimensions (3D). The video generation method and system also enable precise camera control, cinematic effects, and scene editing. Video output corresponding to a set of camera specifications is generated for a scene from input image(s) including one or more images of a static scene or a sequence of images (video) for a dynamic scene. The input image(s) are used to calculate a 3D cache representing the scene. The 3D cache is rendered according to the set of camera specifications to produce a frame sequence and a mask sequence that identifies missing pixels in each frame. The frame sequence is encoded and masked to generate the output video.

In various examples, systems and methods are disclosed relating to accurately extracting requested portions of video data by concatenating video data with selective transcoding. The systems can receive a request indicating a start position and an end position and select a video data element including the start position. The systems can decode a portion of the video data element including the start position and encode a subset of a plurality of first frames of the video data element to provide a first video output. The systems can combine the first video output with a second video output that includes one or more second frames of the video data up until the end position.

The invention discloses an auxiliary screen driving method and system based on a virtual display architecture, and the method comprises the steps: creating virtual display which takes an image output target as a rendering terminal in a system layer; preferentially acquiring the latest available composite frame at each display synchronization beat; performing content change detection on the current frame and the previous frame to determine an area to be updated; adaptively adjusting a target frame rate, an output resolution, a difference threshold value and / or update block granularity of virtual display based on the operation states of the auxiliary screen transmission link and the frame queue; scheduling the differential updating sequence according to regional importance, and preferentially ensuring that a region containing user interface elements is transmitted in time; using synchronous isolation to limit a synthesis and submission path of virtual display; and sending the differential update to the secondary screen through the point-to-point communication link to complete display refresh. According to the technical scheme, on the premise of not depending on additional video output hardware, the double-screen display capacity with controllable cost, compatibility with a native architecture and higher robustness is achieved.

The invention discloses a method and a system for automatically generating a video based on multi-agent unstructured knowledge, and relates to the technical field of video automatic generation based on knowledge processing, and through a data source weight evaluation mechanism and a content semantic similarity calculation method, repeated or contradictory knowledge fragments are automatically identified, a disputed knowledge unit list is established, and the video is automatically generated according to the disputed knowledge unit list. And analyzing the matching degree of the dispute content and the preset script by adopting a semantic vector similarity algorithm. And for the recognized dispute knowledge points, a standby knowledge replacement algorithm is applied to retrieve replacement contents with high confidence from a reliable knowledge base, a knowledge unit replacement operation is executed, and high-quality video output with dispute identification is generated, so that the content accuracy and credibility of the multi-source knowledge fusion video are effectively improved. According to the method, a whole-process quality control system from knowledge identification to video generation is established, intelligent matching of knowledge credibility evaluation and a video content presentation mode is realized, and practical deployment of the technology is restricted.

A system and method to generate a video is provided. The method may include generating, based on a user input including a description of a desired video, a structured script including one or more of scene descriptions, dialogue, or explicit shot-level information. The method also includes generating, based on the structured script, a sequence of video frames representing one or more scenes. The method further includes generating, based on the structured script and the sequence of video frames, an audio track including one or more of ambient sounds, sound effects, or music. The generated audio track being temporally synchronized with the sequence of video frames. The method also includes combining the sequence of video frames with the audio track to generate a synchronized video output representing the desired video.

The invention discloses a non-intrusive image capturing and storing device and a non-intrusive image capturing and storing method. Relates to the technical field of security data storage, and solves the problems of acquisition blind areas, low data credibility and invalid data redundancy caused by a traditional software-level screenshot technology. The video conversion processing module is directly connected with a target host video output link through a standard video interface, the whole device is independent of a host system, does not depend on host permission, does not perform data interaction or protocol communication with a host, and avoids a collection blind area caused by insufficient permission or protection interception; the control processing module encrypts the frame-cut image to protect data security; the control processing module only triggers frame interception when detecting that the image is obviously changed, so that undifferentiated acquisition is avoided, redundant data irrelevant to auditing is reduced from the source, and the storage and operation cost of subsequent auditing analysis is reduced; the protection operation of the safety protection module is executed through a hardware interface and does not depend on host software logic, so that protection failure caused by remote control of a host is avoided.

The invention discloses a video generation method and system based on three-dimensional sparse attention, and belongs to the field of video generation. The method comprises the following steps of: performing three-dimensional partitioning on an input video feature according to the size of a time dimension block and the number of space dimension blocks, and performing rearrangement index on each three-dimensional sub-block; adopting a block-level Top-K attention mechanism, and only selecting a key block for each query; carrying out attention calculation on query, key and value features of the key block, and carrying out normalization output on a calculation result; utilizing FlashAttention to execute efficient variable-length attention calculation on the rearranged query, key and value characteristics, and recovering an original sequence; video output features are generated through the residual connection and the feed-forward network. According to the method, the long-sequence video attention calculation complexity and video memory occupation are remarkably reduced, the time-space dependence modeling efficiency is improved, and the method is suitable for large-scale video generation and understanding tasks.

The invention relates to the technical field of image target detection, and discloses an inland ship intelligent inspection method based on deep learning, and the method comprises the steps: collecting video image frame data containing a ship target in an inland waterway region, and constructing a ship detection data set and a ship compliance detection data set; on the basis of the YOLOv5s, a shallow high-resolution characteristic path is introduced, and an improved YOLOv5s model is constructed; respectively training a ship detection model and a compliance detection model based on the improved YOLOv5s by utilizing the ship detection data set and the ship compliance detection data set, and storing optimal model parameters; the ship detection model processes a real-time video, outputs ship position information and transmits the ship position information to a ByteTrack tracking algorithm, when the PTZ PTZ camera is regulated and controlled to meet a preset condition, the camera is controlled to shoot a static image and put the static image into the compliance detection model for detection, and a detection result is output; according to the method, the detection capability and the detection efficiency of small targets in ship compliance detection can be improved.

A system and method to generate a video is provided. The method may include generating, based on a user input including a description of a desired video, a structured script including one or more of scene descriptions, dialogue, or explicit shot-level information. The method also includes generating, based on the structured script, a sequence of video frames representing one or more scenes. The method further includes generating, based on the structured script and the sequence of video frames, an audio track including one or more of ambient sounds, sound effects, or music. The generated audio track being temporally synchronized with the sequence of video frames. The method also includes combining the sequence of video frames with the audio track to generate a synchronized video output representing the desired video.

The invention discloses an interactive digital human generation method based on picture and audio synthesis, and belongs to the crossing field of artificial intelligence and computer graphics. According to the method, a full-link process of'feature extraction-model construction-emotion driving-real-time interaction-video output 'can be automatically completed only by uploading a character picture and a section of audio by a user: key point and semantic feature extraction is performed on the picture to obtain face / posture information; performing voice recognition, semantic analysis and emotion recognition on the audio to obtain a semantic tag and an emotion parameter; generating a personalized three-dimensional digital human based on the information, and driving the personalized three-dimensional digital human to generate facial expressions and limb actions which are synchronous with emotions; the user intention is analyzed in real time through natural language understanding and computer vision, and multi-modal interaction is achieved. According to the method, digital human creation can be completed without professional modeling and motion capture equipment, the generation cost is reduced, and the method can be widely applied to virtual anchors, online education, intelligent customer service and movie and television entertainment scenes.

The invention discloses an automatic video generation system and method based on AI Agent multi-mode cooperative control. The system comprises a demand acquisition module used for acquiring multi-modal generation demand information; the hierarchical intention analysis and dynamic graph construction module is used for generating an intention graph with priorities and constraint conditions; the multi-scale space-time capsule scene generation module is used for generating multi-scale space-time capsule modeling information; the physical-semantic joint constraint verification module is used for acquiring the verified modeling information; the space-time consistency optimization and content fusion module is used for acquiring a video frame sequence after space-time consistency optimization; and the dynamic code rate video synthesis and output module is used for generating a video file. Through dynamic adaptive architecture and global joint optimization, the problems of stiffness and separation of a traditional video generation technology are solved, and full-process intelligent control from multi-mode input to high-quality video output is realized.

A device includes one or more processors configured to obtain output delay data based on a transmission from an audio output device. The output delay data indicates a playback delay associated with audio output by the audio output device. The one or more processors are further configured to determine, based on the output delay data and host delay data, a synchronization delay to coordinate audio output by the audio output device and video output at a display. The one or more processors are further configured to initiate sending of audio data to the audio output device and to send video data to the display. The video data is delayed, based on the synchronization delay, relative to the sending of the audio data.

Techniques and apparatus for generating visual content according to a textual prompt input into a generative artificial intelligence model. An example method generally includes receiving an input prompt specifying a video output to be generated by a generative artificial intelligence model. Based on a spatial portion of the generative artificial intelligence model and a cross-attention map generated based on the input prompt, a spatial attention map representing a subject of the video output to be generated by the generative artificial intelligence model is generated. Based on a temporal portion of the generative artificial intelligence model and the cross-attention map, a temporal attention map representing motion to be depicted by the subject of the video output to be generated by the generative artificial intelligence model is generated. The video output is generated based on the spatial attention map and the temporal attention map, and the generated video output is output.

Aspects include incorporating media communication adaptors in a surgical environment. Wireless communication can be established between one or more data adaptors and a central processing hub in a surgical system. The one or more data adaptors can be configured to provide surgical data associated with a surgical procedure. Localized processing of the surgical data can be performed at the one or more data adaptors prior to sending the surgical data to the central processing hub. Localized processing of video associated with the surgical data can be performed at one or more video adaptors prior to sending processed video or an output of the video to the central processing hub. The surgical data and the video can be further processed at the central processing hub.

Thermal cameras exist at price points and volume manufacturing suitable for practical consideration of integration of thermal camera modules into host electronic devices, including automobiles, PED's—smartphones, tablets, etc. However, individual thermal cameras require extensive unit-specific data to provision and operate each individual camera with acceptable performance. This along with non-standard electrical interfaces, are adoption barriers to host device manufacturers, for example, where some devices, including some PED's, have become bus-based platforms allowing for functional modules to be packaged into common PED's and operated by way of apps. Some modern PED's, for example, include standard high-speed data busses and low-speed control busses. Devices and methods are disclosed for delivering compatibility with standard internal interfaces and storing the camera module's unit-specific data in a memory element on the camera module. The data can be read out on the same data bus used for thermal camera image data, either by selection between stored data and video output or by simultaneous streaming on different virtual channels. In a particular embodiment the logic element may be configured to write per pixel runtime data such as bias voltages on a runtime per pixel basis to the FPA as the FPA operates by accessing the memory element from a starting point address, wherein the starting point address may be at least one of predetermined or set by a host controller, thereby allowing the FPA to operate without local processing resources or per pixel communication with the host controller.

1. The name of the design product: video conversion charging base (JC01). 2. The use of the design product: used for game console video output and charging, and charging base for multiple game controllers. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Disclosed systems and methods enable a RESTful API server, e.g., a Redfish server, provisioned with virtual console resources running on a system management resource, e.g., a BMC, of an information handling system, to perform virtual console operations. The virtual console features include a virtual video feature for relaying frame buffers of video data, corresponding to video output from a host application, to a RESTful API client. The virtual console features may further include virtual keyboard and mouse features, which may be collectively referred to herein as virtual HID features, for relaying keyboard and mouse data, indicative of keyboard scan codes, mouse x, y coordinates, and mouse activity, e.g., Right Click, Left Click, etc., generated by a user of the RESTful API client.

The utility model relates to switching circuit technical field, concretely relates to a switching circuit and switch. The circuit includes multichannel video input module, video processing module and video output module, and video processing module includes video processing chip, and the input of video processing chip is connected with multichannel video input module to receive multichannel video signal, and the output is connected with video output module, and video processing chip is built -in with the multiple storage units corresponding setting of multichannel video input module, and each storage unit is preloaded with the same preset expansion display identification data and multiple preset resolution templates, and video processing chip is used to receive multichannel and preset expansion display identification data matching video signal, and according to the resolution of the display device connected with video output module, calls preset resolution template and processes video signal, and the video signal after processing is output through video output module. The present application can avoid the black screen in the process of switching signal source, and improve user experience.

The utility model relates to the technical field of display equipment, and discloses a display control circuit and display equipment, and the display control circuit comprises a display driving circuit, a Type-C transmission control circuit, an HDMI transmission control circuit and a video signal output circuit. The accessed Type-C signal source is used for supplying power to the display driving circuit and / or transmitting a Type-C input signal; an HDMI input signal is transmitted to the display driving circuit through the HDMI transmission control circuit; a video output signal is transmitted to a video signal output circuit through a display driving circuit according to a received input signal; and projecting the video output signal to a display screen through a video signal output circuit. According to the utility model, various input signals can be received through the Type-C interface and the HDMI interface, and video output signals can be efficiently projected to the display screen, so that diversified display requirements can be met, and diversified equipment can be compatible, and more convenient and diversified display functions can be provided for users.

The utility model belongs to the technical field of acousto-optic dispersion controller testing equipment, and particularly relates to an acousto-optic dispersion controller detector, which comprises a driving power supply module, a single chip microcomputer module, an audio module and a camera module which are electrically connected with one another, and the single chip microcomputer module is electrically connected with a key assembly, a screen assembly, a holder input port and a light input port. The audio module comprises an operational amplifier circuit, a power amplifier circuit and a test loudspeaker which are electrically connected in sequence, the input end of the operational amplifier circuit is connected with an audio input port, the camera module is connected with a video output port, and the holder input port, the light input port, the audio input port and the video output port are all connected with cable sockets. The cable socket is in butt joint with the acousto-optic dispersing controller through a detachable plug cable. The detector provided by the utility model can be in butt joint with a line interface of the acousto-optic dispersing controller, whether the controller works normally or not is rapidly tested by means of displaying control signals, playing output audio and the like, and the test efficiency is improved.

Systems, methods, and devices generate video data for graphics displays. Methods include receiving, at a video buffer, a video input comprising video data, the video data being included in a video frame, reading at least some of the video data out of the buffer based, at least in part, on a first offset value, and performing, using one or more processors, one or more graphics rendering operations on the video data. Methods also include writing rendered video data to a line buffer based, at least in part, on a second offset value, and generating a video output based, at least in part, on one or more warping operations, the video output being synchronous with the video input.

The embodiment of the invention provides a video production method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining video data of an automobile data recorder, and carrying out the interception of the video data, and obtaining a candidate video; determining a picture attribute of the candidate video, and determining a target video template according to the picture attribute; the target video template comprises a plurality of video slots; the plurality of video slots are respectively provided with corresponding cutting targets; and respectively clipping a plurality of video clips corresponding to the clipping targets in the plurality of video slots from the candidate video, filling the plurality of video clips into the plurality of video slots to obtain a target video, and outputting the target video. Therefore, even if the vehicle is running, the video data in the automobile data recorder can be automatically intercepted, the target video is made through the target template, a user does not need to make the video by himself / herself after parking, the driving safety of the user is not affected, meanwhile, the user does not need to make the video manually, and the use experience of the user is improved.

A computing platform may receive chatbot interaction information indicating interactions of a user with a chatbot. The computing platform may identify context information associated with the user. The computing platform may generate, based on the chatbot interaction information and the context information, responses to the user interactions, and may select a response. The computing platform may generate a plurality of image frames corresponding to the response. The computing platform may arrange, based on the context information and using an intelligent frame estimation engine, the plurality of image frames in a sequence. The computing platform may render a video output, comprising a response to the chatbot interaction information, using the plurality of image frames and based on the sequence. The computing platform may generate? commands directing the user device to display the video output, which may cause the user device to display the video output.

The utility model discloses an integrated terminal with three types of video output for a collision mitigation system, which comprises an integrated main control board, and a main control chip, a first video processing chip, a second video processing chip, an HDMI external interface, a VGA external interface and a CVBS external interface are integrated on the integrated main control board. The main control chip outputs a first video signal to be connected with the first video processing chip, and the first video processing chip outputs a second video signal to be connected with the second video processing chip; the first video processing chip outputs a first HDMI signal to the HDMI external interface and a VGA signal to the VGA external interface, and the second video processing chip outputs a CVBS signal to the CVBS external interface. According to the integrated terminal, the application scene is widened, the use convenience is improved, the use difficulty and development difficulty are reduced, the integrated terminal is not only suitable for new vehicles, but also suitable for upgrading and reconstruction of old vehicles, a control circuit for three-way video output is reduced, and the hardware cost is reduced.