7020results about "Color television details" patented technology

A method is provided by which a subscriber accesses an SDV channel using a set top terminal. The method begins when the set top terminal receives a user request to tune to a first SDV channel. An active services list is also received over an access network. The active services list includes an entry for each currently available SDV program and a time-to-live (TTL) associated therewith. Tuning information is identified for the first SDV channel from its entry in the active services list. The set top terminal tunes to the first SDV channel using the identified tuning information. The channel change information associated with the user request is locally stored in set top terminal for transmission over the access network at a later time.

A video gateway system at a worksite is coupled to multiple cameras on a network, and backs-up video streams generated by the cameras to a backend cloud backup video storage system and a frontend (cache) video storage system. The video gateway system generates an aggregated video asset from a plurality of streams of video from the multiple cameras, and generates metadata and a backup report associated with the video asset. The video asset, metadata, and backup report are stored on the backend cloud backup video storage system in an file system, and are also stored on the frontend (cache) video storage system such that for at least a period of time, the video asset and the associated the metadata and backup report are stored on both the cloud backup video storage system, facilitating quick access and retrieval to the stored video for retrieval for streaming, activity detection, and other uses.

An Internet of Things (IoT) or vehicle dash cam may store both a high-resolution and low-resolution video stream on a device. The video streams are selectively accessible by remote devices. Because of the relatively smaller storage requirements of low-resolution video files, retaining of additional video data on the vehicle device (beyond what would be possible with only high-resolution video) is possible. The user may be provided an option to adjust the amount of low-resolution and high-resolution video to store on the device. A combined media file may be generated by a device to include time-synced high-resolution video, low-resolution video, and / or metadata for a particular time period.

A method of controlling a broadcast receiver and which includes displaying a broadcast program on a screen of the broadcast receiver, determining if a broadcast-related information enlargement mode is selected, and enlarging the broadcast-related information on the screen of the broadcast receiver when the determining step determines the broadcast-related information enlargement mode is selected.

The invention relates to the field of image processing, and discloses an object monitoring method and device based on multi-source data and a storage medium, and the method comprises the steps: synchronously collecting multi-channel video streams, environment parameters and equipment position information, and carrying out the time alignment and data association processing, and forming associated data; performing feature matching on the multiple paths of video streams, fusing position information and environment parameters, and establishing a mapping relation between video feature points and a unified space coordinate system; splicing the multiple paths of video streams in real time according to the mapping relation to generate a panoramic video stream; performing dynamic scene analysis based on the panoramic video stream and the environmental parameters, and identifying a target type and a state to obtain an analysis result; and generating an equipment regulation and control strategy based on the analysis result, and generating and issuing a regulation and control instruction for adjusting the working parameters of the multi-view image acquisition device based on the equipment regulation and control strategy. According to the invention, the splicing precision, the real-time performance and the target identification accuracy of panoramic monitoring can be improved, and the dynamic adaptive regulation and control of the equipment can be realized.

The invention discloses a control method of a video monitoring system, which relates to the technical field of video monitoring, and comprises the following steps of: acquiring continuous image frames through the video monitoring system, extracting brightness channels, edge structures, direction gradients and contrast changes of images, constructing a reflective perception vector group, and calculating an included angle change trend by combining a target motion direction vector, determining whether a reflection offset condition consistent with the target direction appears in a picture in a camera attitude control process; after it is determined that the reflection offset condition consistent with the target direction appears in the picture, the inter-frame change tensor of the target area and the reflection area is extracted, and a time sequence track consistency matrix is constructed; according to the invention, the problem of wrong adjustment of the camera caused by misjudgment of light reflection in video monitoring is solved, attitude regulation and control based on image displacement abnormal mode recognition are realized, and the tracking stability and the monitoring accuracy are improved.

The invention discloses a multi-protocol high-speed image data receiving and aligning method and system based on an FPGA (Field Programmable Gate Array), and relates to the technical field of electronic information and image processing. Serial data streams from an image sensor are received, an FPGA serial input primitive is dynamically called to convert serial data into parallel data; a low-voltage differential signal protocol, a mobile industry processor interface protocol and a serial low-voltage signal protocol are supported; a configurable sliding window mechanism is adopted to compare synchronous codes in real time, and byte boundaries are locked; by identifying the time difference of arrival of data of each channel, multi-channel phase alignment is realized by adopting hardware-level delay compensation, and data arriving at the channel in advance is compensated by adopting a first-level register cache; and analyzing frame header and frame tail information of the image data, reconstructing an original image matrix and generating a video time sequence signal. The problems of poor compatibility and high resource consumption in multi-protocol high-speed image data receiving are solved.

The invention relates to a six-eye camera panoramic video real-time splicing method and system and computer equipment, and the method comprises the steps: synchronously carrying out the image collection through a six-eye camera array, and adding a timestamp to each video frame image; performing real-time feature extraction on the video frame image, and establishing a feature matching relationship in a view field overlapping region of adjacent cameras; based on the feature matching relationship, mapping each video frame image to a unified splicing coordinate system through projection transformation; performing splicing processing on the video frame images after projection transformation through multi-band fusion, and eliminating splicing traces at the boundary of the field of view; and reconstructing the panoramic frame images obtained after splicing processing according to a time sequence, and outputting a continuous panoramic video stream so as to realize real-time and seamless splicing and correction of six paths of high-definition video streams and finally output a global panoramic video stream with no visual fracture and consistent time and space.

The invention discloses a video anti-shake method and system based on multi-scale fusion and adaptive smoothing, relates to the technical field of video image processing, and aims to effectively solve the image quality problem caused by shake in a video shooting process. Gradient histograms and wavelet energy distribution characteristics of video frames are extracted through graying and normalization processing, and the gradient histograms and the wavelet energy distribution characteristics are input into a jitter type recognition network to recognize translation, rotation and Z-axis jitter probabilities. And further extracting motion, frequency domain and edge features, and generating multi-modal coupling features through combination of a dynamic feature interaction network and a dot product attention mechanism. And constructing a motion trajectory by using the features, optimizing the trajectory by using a texture perception double-layer smoothing strategy, introducing an adaptive penalty term into a dynamic planning cost function, and outputting a smooth motion compensation parameter. And finally, processing the boundary region through motion compensation and image extrapolation to generate an anti-shake video frame. Through multi-scale feature fusion and a self-adaptive smoothing strategy, the video anti-shake effect is effectively improved, and the method is suitable for complex scenes.

The embodiment of the invention discloses a 4K splicing processor and a 4K splicing display system. The 4K splicing processor comprises a driving circuit used for processing a 4K resolution signal, the driving circuit comprises an FPGA chip U5, TVS array chips U10, U11, U12 and U13 and DP signal line connectors CN9 and CN10; the model of the U5 is Spartan-6, the models of the U10, the U11, the U12 and the U13 are all RClamp0524P, the CN9 is connected with the U5 through the U10 and the U11, and the CN10 is connected with the U5 through the U12 and the U13; the U5 receives the input 4K resolution signal through the CN9 to process the 4K resolution signal and outputs the processed 4K resolution signal through the CN10 to achieve 4K resolution signal looping. According to the 4K splicing processor and the 4K splicing display system, the problem that 4K splicing display system equipment is complex is solved.

The invention discloses a building engineering multi-dimensional monitoring system based on panoramic imaging, and relates to the technical field of building engineering monitoring and sensing. Comprising a panoramic image acquisition module, an image splicing and panoramic reconstruction module, a multi-source data synchronous acquisition module, an image-data fusion construction module, an image-physical association modeling module and a risk identification and intelligent response module, an image acquisition array formed by high-resolution cameras is installed at key positions of a building structure, images of all the cameras are obtained, and an original image sequence covering a monitoring area is output. According to the invention, through fusion of the panoramic image and the multi-source sensing data, visualization, intelligent identification and risk prediction of the structure state are realized, a closed-loop monitoring system is constructed, the problems of single traditional monitoring means, data splitting and the like are solved, and the safety monitoring intelligent level of constructional engineering is improved.

The invention discloses a video time synchronization processing method and system based on a high-precision network timing protocol. According to the method, time frequency traceability is provided for an internal taming clock module and a clock synchronization module of a processing host through second pulse signals; the internal taming clock module selects to execute a clock taming operation or switch to a self-travel time mode according to whether the external time reference exists or not; according to the time synchronization detection result of the video synchronization processing module, if it is judged that the time synchronization difference between different cameras exceeds a preset range, hardware trigger signals are sent to the cameras through an external trigger generation module, so that camera parameters are adjusted, and key frames are generated; and the video synchronous processing module identifies key frames generated by the multiple cameras by adopting an image definition evaluation method, and completes time axis alignment of the video streams of the multiple cameras based on the key frames. According to the invention, the problem of low synchronization precision or accumulative error and network jitter in the prior art is solved; the time delay after the software is aligned is high, and the camera and the processing host lack feedback linkage.

The invention relates to the technical field of resolution improvement, in particular to a video definition improvement method and system.According to the video definition improvement method and system, through window accumulation of adjacent frame gray difference and coordinate difference, minimum displacement is selected, mapping is updated, boundary neighborhood weighted correction is carried out, cross-frame dislocation is reduced, and motion area connection is guaranteed; capturing a three-frame gray scale sequence to calculate a difference value, writing a replacement value according to a monotone and amplitude condition, inputting the replacement value and an alignment frame difference into Fourier transform, decomposing amplitude and phase distribution in a residual field in a frequency domain, and performing amplitude and phase consistency elimination on an abnormal block during frame-by-frame superposition to obtain an abnormal block; row difference and column difference absolute values of neighborhood blocks in the residual iteration texture matrix are accumulated into energy, the energy and a center difference are combined with a threshold value to output a mark, and a texture region and an edge region are distinguished; the brightness of the low-frequency position is updated according to the weight mean value, the maximum difference and the direction difference are combined for the high-frequency position, the edge gradient is extracted through the convolutional neural network, a correction value is generated, edge steps and fuzziness are suppressed, and high-frequency details are continuously kept.

The invention discloses an intelligent editing style learning and shot arrangement method and device, and the method comprises the steps: firstly carrying out the shot segmentation of an original material video, obtaining a plurality of independent video clips, carrying out the multi-dimensional analysis of each video clip, generating a structured label text containing image semantic features and shooting grammar features, and carrying out the segmentation of the shot; semantic segmentation is carried out on a manuscript to be edited to obtain a plurality of text paragraphs, each text paragraph is matched with at least one edition example, finally prompt words are constructed and input into the generative language model to carry out shot arrangement, and the generative language model outputs a shot arrangement sequence of the current paragraph. The problem of error accumulation caused by the fact that a traditional intelligent editing method depends on an editing script intermediate link is solved, the defect that in the prior art, it is difficult to dynamically learn a specific editing style is overcome, collaborative optimization of semantic matching and editing grammar is achieved, and shot selection accuracy, arrangement fluency and style adaptability are remarkably improved.

The present application relates to a geographic mosaicking method and apparatus for video images, and a computer device and a storage medium. The method comprises: acquiring real-time live streaming images of a real-world scene that are collected by a plurality of unmanned aerial vehicles, and GNSS information of the plurality of unmanned aerial vehicles; using a visual SLAM algorithm to perform input frame tracking on the real-time live streaming images, and performing pose estimation on successfully tracked input frames by combining visual trajectories and the GNSS information, so as to generate georeferenced camera poses; using the camera poses and a surface reconstruction algorithm to perform densification processing on the input frames, so as to generate a depth map of the real-world scene, and mapping the depth map into dense three-dimensional point clouds, so as to construct a three-dimensional surface model of the real-world scene; and using the camera pose and the three-dimensional surface model to perform orthorectification on the input frames, and integrating the orthorectified input frames into a global mosaicked map, so as to generate a global image of the real-world scene. By means of the embodiments of the present application, a real-time picture of a real-world scene can be quickly acquired, thereby providing robust support for a rapid emergency response in a real-world scene.

The invention discloses a video compliance monitoring system based on multistage event aggregation, which adopts a distributed two-stage architecture of an edge end and a center end, the edge end realizes video stream acquisition, dynamic sampling, multi-modal AI structured analysis and video segmentation buffer storage, and pushes an analysis result to the center end in real time, and the center end receives data and then sends the data to the edge end. Through a three-stage analysis system including atomic event extraction, session scene recognition and cross-time-period violation detection, violation detection is completed, a backtracking video with a superimposed mark can be generated, and a violation record and a video URL are pushed to a service system, so that efficient analysis and accurate backtracking of video compliance monitoring are realized; the invention further relates to a video compliance monitoring method based on multi-level event aggregation.

A method of maintaining the security of an authentication session comprises operating a camera device to continuously capture a view of an environment of a computing device, performing face detection to detect all faces in the environment, performing comparisons between faces detected in the environment and faces of a set of authorized users, at a first time, detecting a first face of an authorized user of the set in the view of the environment and, in response, allowing the authorized user to operate the computing device, and at a second time after the first time, one of failing to detect the first face or detecting a second face that is not of an authorized user of the set in the view of the environment, and, in response, at least partially blocking operator access to input and output devices including blocking a display of the computing device.

A device to process data associated with a surgical event of a surgery may include a processor. The processor may be configured to receive multiple data streams during the surgical event. The processor may be configured to select a primary data stream based on a surgical data interface via which the primary data stream is received. The processor may be configured to select a secondary data stream based on a surgical data interface via which the second data stream is received. The processor may be configured to identify the surgical data interfaces. The processor may be configured to generate situational data associated with the primary data stream based on the secondary data stream. The situational data may indicate a medical decision-making factor of the surgical event. The primary data stream and the situational data may be sent during the surgical event.

The invention discloses an image processing method and device for data stream recombination, a medium and a product. The method comprises the following steps: acquiring an original image data stream, and determining row coordinates and column coordinates of each pixel datum in a preset pixel block; according to the row coordinates and the column coordinates, generating a corresponding write-in cache address for each piece of pixel data; writing each piece of pixel data into a target cache unit in the plurality of preset cache units according to the write-in cache address; generating a read cache address according to the global read row count value and the global read column count value; reading the pixel data from the target cache unit and aggregating the pixel data into a recombined pixel row; writing the recombined pixel rows into a continuous storage area in a preset memory to obtain recombined image data; and sequentially reading the recombined image data from the continuous storage area to obtain a recombined image video stream. By implementing the technical scheme provided by the invention, the overall throughput rate of data processing is improved, and the method is particularly suitable for real-time processing of high-resolution and high-frame-rate video streams.

The invention discloses a petroleum drilling machine equipment intelligent alarm method based on video real-time display, and belongs to the technical field of petroleum exploitation equipment monitoring, and the method comprises the steps: obtaining the operation video of a key part of petroleum drilling machine equipment, and transmitting the operation video of the key part to a monitoring center; in the monitoring center, preprocessing the operation video of the key part to eliminate the influence of illumination disturbance, and carrying out key part identification and behavior analysis on the preprocessed operation video of the key part by using an equipment part detection and behavior analysis algorithm based on deep learning to obtain a detection result of the key part; and based on the detection result of the key part, the display alarm and the sound-light alarm of the abnormal type and the occurrence position are triggered in real time, and the alarm information is sent to the handheld terminal of the driller. According to the method, intelligent fault detection and alarm are realized, manual intervention is reduced, the comprehensiveness of equipment monitoring is improved, and the accuracy and timeliness of alarm are improved.

The invention provides a digital human video generation method and device, electronic equipment and a storage medium, and relates to the technical field of digital human video generation, an initial predictor and an initial prediction model in a digital human video generation model adopted by the method are both constructed based on an SANA framework, and by means of the SANA framework, the initial predictor and the initial prediction model can be effectively predicted. According to the method, the generated digital human video can be more stable and rich in details, computing resources needed for generating the digital human video are reduced, the generation speed of the digital human video is improved, it is guaranteed that the method can be operated in real time on consumption-level hardware, the deployment cost and the application threshold are reduced, and the application scene is expanded. In addition, a target style code can be predicted from the reference audio by adopting a style predictor, and diversified emotion expressions can be generated, so that a digital human video with rich emotions is generated.

The embodiment of the invention provides a video processor, a video processing method, video processing equipment, a storage medium and a program product. In the scheme, after the display layer receives the special effect style configuration, the algorithm engine layer calls the matched physical mathematical model according to the target special effect style and the basic video, outputs the high-fidelity special effect description file, and improves the special effect parameter accuracy; the rendering adaptation layer dynamically selects an optimal rendering engine according to the resources of all the rendering engines, and the time consumption of single-example rendering is shortened; two-layer hierarchical decoupling is adopted, so that description file generation and rendering execution are parallel, batch description files can be shared by multiple preview positions after being prepared at one time, rendering resources are only input when real preview requirements are met, and idling is avoided; the display layer, the algorithm engine layer, the rendering adaptation layer and the rendering layer are sequentially relayed to form a compact link of quasi-generation-fast rendering-playback, so that waiting and repeated export links of a user in a subsequent video editing stage are remarkably reduced, and the video editing efficiency is integrally improved.

A method for adjusting a human machine interface (HMI) element location in a commercial vehicle display includes displaying, on an electronic display of a commercial vehicle, images from a camera secured to the commercial vehicle that depict a trailer of the commercial vehicle and its surrounding environment; determining a reference location of a reference point of the trailer in the images; superimposing an HMI element in the images on the electronic display at an HMI location determined relative to the reference location; and detecting that the reference location has changed in the images, and adjusting the HMI location in response thereto. A camera monitoring system (CMS) for a vehicle and a method for a camera mirror system are also disclosed.

In one aspect, a first device includes a processor and storage. The storage includes instructions executable by the processor to facilitate a video conference and to segment a camera feed into first video and second video as part of facilitating the video conference. The first video shows a first person but not a second person, the second video shows the second person but not the first person, and the camera feed shows both the first and second people. The instructions are also executable to use the first video and the second video as part of the video conference. This might include transmitting the first and second video to a second device, and / or controlling the display of the second device to concurrently but separately present the first and second video.

The application discloses a media stream transmission method and device based on an edge device and electronic equipment, and the method comprises the following steps: an edge all-in-one machine receives a live broadcast request message sent by a site device management cloud module from a first network, the edge all-in-one machine is connected to a second network, the edge all-in-one machine generates media stream service information according to a camera module identifier, and the media stream service information is sent to the site device management cloud module, so that the site device management cloud module requests a target network video recorder corresponding to the camera module identifier to acquire a media stream according to an edge live broadcast address, an IP address and a port; when the target network video recorder feeds back a successful request, the edge all-in-one machine receives the media stream recorded by the target network video recorder through the camera module, and transmits the media stream to a client according to the edge live broadcast address. According to the method, the media stream data is transmitted through the second network LAN, public network bandwidth resources are saved, and the stability and fluency of video playing are improved.

The invention relates to the technical field of video monitoring, and particularly discloses a video acquisition system and method based on time triggering, and the system comprises a high-precision clock source, a hardware triggering signal generation module, an image sensor, a timestamp precise acquisition module and a system main control module. The high-precision clock source provides a reference clock; the hardware trigger signal generation module generates a synchronous trigger pulse to drive the image sensor to expose; the timestamp accurate acquisition module directly captures an exposure completion signal output by the sensor and generates a corresponding high-precision original timestamp; and the system main control module fuses and packages the timestamp and the image data. The method is realized based on the system. According to the invention, the accuracy and stability of the triggering moment are ensured from the source, and the accurate correspondence between the timestamp and the physical exposure moment is realized.

The embodiment of the invention provides a video generation method and system based on AI voice cloning and mouth shape synchronization, and the method comprises the steps: carrying out the fusion of voiceprint features of an input video and an input text through a voice synthesis model after the input video and the input text are obtained, so as to generate a natural voice; analyzing lip key points of the input video by using a lip shape displacement model, and matching lip shape change data according to the lip key points and natural voice; and generating an output video according to the input video and the lip shape change data. According to the method, the phoneme duration prediction of the speech synthesis model and the lip displacement model can be coupled through time sequence convolution, so that the mouth shape of the output video is matched with the speech content, lightweight video restoration is realized by redrawing the lip region, the dynamic response to the input text modified by the user in real time is supported, and the response efficiency is improved.

The invention belongs to the technical field of image processing, and particularly relates to a binocular camera low-delay synchronization method, which comprises the following steps of: respectively establishing data queues for a main view acquisition stream and an auxiliary view acquisition stream, and acquiring an acquisition frame with an acquisition time identifier from the data queues; taking an acquisition moment identifier of a certain acquisition frame in the main view acquisition stream as unified target time; on the basis of at least two acquisition frames in a unified target time neighborhood in the auxiliary view acquisition stream, a re-projection auxiliary view frame in the unified target time is generated by executing a cross-view stream time re-projection algorithm; and taking an acquisition frame in the main view acquisition stream as a reference acquisition frame, forming a time synchronization frame pair together with the re-projection auxiliary view frame, and outputting the time synchronization frame pair. According to the method, the synchronization precision and stability are improved under the low-delay condition, the hardware dependence and the storage overhead are reduced, and the method has the advantages of being high in real-time performance, high in adaptability, easy to implement and good in expandability.

An endoscopic imaging system for use in a light deficient environment includes an imaging device having a tube, one or more image sensors, and a lens assembly including at least one optical elements that corresponds to the one or more image sensors. The endoscopic system includes a display for a user to visualize a scene and an image signal processing controller. The endoscopic system includes a light engine having an illumination source generating one or more pulses of electromagnetic radiation and a lumen transmitting one or more pulses of electromagnetic radiation to a distal tip of an endoscope.

The invention discloses a wound tissue imaging and auxiliary diagnosis system, which belongs to the technical field of wound tissue detection and comprises a hardware platform and an upper computer system. The hardware platform comprises a data acquisition module, a preprocessing and fusion module and a communication and control module; and the upper computer system is used for receiving the protocol packet and carrying out data analysis, coordinate system alignment and multispectral image waveband registration. According to the wound tissue imaging and auxiliary diagnosis system, a heterogeneous computing architecture is adopted, FPGA assembly line processing and ARM control are combined, power consumption and the size are remarkably reduced, and high-precision wound detection and real-time decision support are achieved through multispectral and three-dimensional data fusion, hardware acceleration preprocessing and AI driving analysis.