30590results about "Television system 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.

The invention discloses a power transmission line multi-mode warning system and a power transmission line multi-mode expelling method, belongs to the technical field of power transmission line safety monitoring, and aims at solving the problems that power transmission line invasion target monitoring is not accurate, and the warning and expelling effect is poor. An environment image is acquired through an acquisition unit, and redundancy compensation is carried out on a fault unit. In the aspect of image splicing, a database is constructed by using structural feature points of a power transmission line, rapid projection transformation of a fixed area is realized, incremental feature matching is adopted for a dynamic area, and an environment panoramic image is generated. The method comprises the following steps: establishing a background coordinate system based on an environment panoramic image by aligning a fixed structure region, extracting multi-modal features of an intrusion target, constructing a dynamic trajectory parameter set, completing species classification and behavior recognition, constructing a multi-dimensional evaluation index system, dividing threat levels, and generating a thermodynamic diagram. And finally, according to data such as threat levels, a multi-mode grading warning system is constructed, warning equipment is dynamically adjusted, a target track is tracked, a warning effect is evaluated, and accurate and efficient invasion target expelling is realized.

The invention relates to the technical field of intelligent control, in particular to a self-adaptive camera pose intelligent adjusting system which comprises a dynamic recognition module, a pose adjusting module, a mechanism control module, an information filtering module and a feedback association module. According to the method, the foreground pixel brightness gradient and the boundary continuity in the image frame are extracted, the target displacement path can be recognized, the tracking information is constructed, the target coherent perception under rapid scene change is guaranteed, the attitude parameters and the target motion direction and speed are combined, the offset correction instruction is generated, the response stability of the dynamic target is improved, and the target tracking accuracy is improved. The execution structure feedback is used for correcting control output, reducing the driving error accumulation risk, eliminating non-target disturbance through image boundary definition and motion consistency, improving data purity and combining a view angle execution state and path information to realize synchronous control of tracking and view angle adjustment; and the response efficiency and the following robustness of the system in a dynamic environment are enhanced.

The present disclosure generally relates to user interfaces. In some examples, the electronic device transitions between user interfaces for capturing photos based on data received from a first camera and a second camera. In some examples, the electronic device provides enhanced zooming capabilities that result in visual pleasing results for a displayed digital viewfinder and for captured videos. In some examples, the electronic device provides user interfaces for transitioning a digital viewfinder between a first camera with an applied digital zoom to a second camera with no digital zoom. In some examples, the electronic device prepares to capture media at various magnification levels. In some examples, the electronic device enhanced capabilities for navigating through a plurality of values.

The present disclosure generally relates to user interfaces for adjusting simulated image effects. In some embodiments, user interfaces for adjusting a simulated depth effect is described. In some embodiments, user interfaces for displaying adjustments to a simulated depth effect is described. In some embodiments, user interfaces for indicating an interference to adjusting simulated image effects is described.

Systems and techniques are described for performing foveated sensing. In some aspects, a method (e.g., implemented by an image sensor) can include capturing sensor data for a frame associated with a scene, obtaining information corresponding to a region of interest (ROI) associated with the scene, generating a first portion (having a first resolution) of the frame corresponding to the ROI, generating a second portion of the frame having a second resolution, and outputting (e.g., to an image signal processor (ISP)) the first portion and the second portion. In some aspects, a method (e.g., implemented by an ISP) can receive, from an image sensor, sensor data for a frame associated with a scene, generating a first version (having a first resolution) of the frame based on an ROI associated with the scene, and generating a second version of the frame having a second resolution (lower than the first resolution).

The invention relates to the technical field of video stitching, and discloses a monitoring video stitching method, device and equipment and a storage medium, and the method comprises the steps: carrying out the video framing of a monitoring video collected by a monitoring terminal, and obtaining a plurality of target video frames; performing human shape detection to obtain a human shape detection result; aligning and cutting a face region in the human shape detection result to obtain a standardized face image, and extracting a face feature vector; performing motion prediction and trajectory extrapolation to obtain a multi-target human shape tracking result; inputting the multi-target human shape tracking result into a distributed computing framework for task allocation and cross-node feature matching to obtain a global human shape tracking result; and performing double-flow network processing on the plurality of target video frames according to the global human shape tracking result, calculating to obtain video stitching parameters, and performing stitching operation on the plurality of target video frames to obtain a stitched video, thereby effectively improving the quality and visual effect of the stitched video.

The embodiment of the invention discloses an audio generation method and device, electronic equipment and a storage medium, and the method comprises the steps: extracting first text features of an object text used for describing a target object, and carrying out the weighted summation of the first text features in a same video frame image through a mask score, according to the method, the second text feature representing the target object in the video frame image more accurately can be obtained, and on the basis, the target text feature is obtained by fusing the second text features of the plurality of video frame images, so that the target text feature can provide frame-level and fine-grained semantic information; and subsequently, obtaining a randomly generated audio signal with noise, denoising the audio signal with noise by taking the target video feature and the target text feature as denoising conditions to obtain a target audio signal, and generating a target audio corresponding to the target video based on the target audio signal to realize frame-level audio generation. The alignment effect of the pictures in the target audio and the target video is optimized, so that the audio generation quality is improved.

A system for analyzing measurements performed on a biological subject, the system including one or more processing devices configured to acquire subject data at least in part captured by a measurement system including at least one substrate including a plurality of microstructures configured to breach a functional barrier of the subject and a sensor operatively connected to at least one microstructure, the at least one sensor being configured to measure response signals from the at least one microstructure, and analyze the subject data using at least one model to determine an indicator at least partially indicative of a physiological state of the subject.

Methods and systems are disclosed for suggesting scenarios for an image using one or more machine learning models based on an output of an LLM. The methods and systems generate, by a device of a user, a first prompt comprising a demographic of a person and a date, and process the first prompt by a large language model (LLM) to generate a plurality of ideas relevant to the person on that date, each idea comprising a respective description and vibe. The methods and systems generate a second prompt comprising a selected idea from the plurality of ideas and a request for a plurality of scenarios that are relevant to the selected idea, process the second prompt by the LLM to generate the plurality of scenarios that are relevant to the selected idea, and present an individual content item corresponding to an individual scenario of the plurality of scenarios.

Systems and techniques are provided for processing image data. First image data of a scene can be obtained with a first zoom level and including at least a foreground portion and a background portion. A user input can be received indicative of an adjustment to increase or decrease a zoom level of the foreground relative to the background, corresponding to a second zoom level greater or less than the first zoom level. A second image data of the scene can be obtained, based on the adjustment and using the second zoom level, to include an adjusted foreground portion associated with the second zoom level. The adjusted foreground portion can be segmented from the second image data of the scene. A composite image can be generated based on combining the segmented foreground portion from the second image data with at least a portion of the first image data.

The invention provides a video plot generation and scene synthesis method and system based on natural language processing, and relates to the technical field of video generation, and the method comprises the steps: receiving a script text to construct a multilayer scene map, extracting keywords to calculate semantic relevancy, executing feature decomposition and reconstruction to obtain a scene synthesis vector, and generating a video scene based on distance measurement. And extracting spatio-temporal features by using the feature pyramid, executing adaptive feature fusion, segmenting the video by applying a self-attention mechanism, and after a transition effect is inserted, performing style migration to output a finished video.

The invention provides a camera extrinsic parameter calibration method, an image stitching method and an apparatus thereof. The calibration method can include: acquiring a plurality of images captured by the camera based on a plurality of sets of extrinsic parameters to be calibrated, wherein each of the plurality of sets of extrinsic parameters to be calibrated include a horizontal rotation angle and a vertical rotation angle; obtaining at least one matched image pair based on feature point matching among the plurality of images, wherein each matched image pair includes matched feature point pairs with a quantity satisfying a threshold condition; and calibrating the plurality of sets of extrinsic parameters to be calibrated according to a first difference representation between coordinate representations of each matched feature point pair of each matched image pair in a reference coordinate system.

The invention discloses a system for improving the applicability of an intelligent camera, and relates to the technical field of intelligent camera shooting. RGB, infrared and depth sensors are used for cooperative sensing, a dynamic inter-frame interpolation algorithm is used for complementing video data, target trajectory prediction is carried out based on a target motion vector analysis algorithm in combination with a recurrent neural network LSTM + Kalman filtering, and the applicability of the intelligent camera is improved. Meanwhile, three-dimensional scene modeling and shielding recovery are introduced, and environment information complementation of a dead angle area is optimized; through a cross-camera target identity re-identification ReID algorithm, seamless tracking is carried out among multiple cameras by utilizing appearance characteristics, gait characteristics and biological characteristics of a target, and meanwhile, PTZ camera control is optimized in combination with reinforcement learning, and the angles of the cameras are dynamically adjusted; a generative adversarial network GAN based on space-time consistency is adopted, historical video data and environment modeling are combined, missing pictures in visual dead angles are intelligently complemented, and the continuity and authenticity of monitoring pictures are improved.

The invention provides a video generation control method and a computer readable storage medium, and is applied to the technical field of computers. According to the method, the structural defect of a split script is solved through a large split model, the consistency of split image features is ensured through image generation based on reference image feature constraint, audio and picture synchronization is realized in combination with emotional speech synthesis and dynamic mouth shape alignment, the video fidelity is improved through a split video cue word guiding multi-subject generation algorithm, and the user experience is improved. Therefore, the technical problems of missing emotion logic, poor consistency of split image features, difficulty in audio synchronization, insufficient controllability of video generation and the like in film and television creation in the existing AIGC technology are effectively solved, and the efficiency and the quality of video content production are improved.

The invention discloses a multi-view overlapped video fusion splicing method and system, and relates to the technical field of video fusion splicing, and the method comprises the following steps: carrying out the basic processing of images collected by all cameras, and guaranteeing the consistent brightness and color of the images before splicing; extracting key feature points from the image by using a feature point detection algorithm; and matching the key feature points of the two images by using the feature descriptors to find similar feature point pairs in adjacent images. According to the method, matching errors are intelligently sensed, real-time detection and optimization are carried out in combination with a machine learning model and a correction algorithm, it is ensured that feature points meet geometric consistency, and accurate alignment is achieved through a homography matrix. Through brightness and color unified processing and overlapping region fusion, the generated panoramic image is excellent in visual effect, the accuracy of target identification and behavior analysis can be improved, and the method is especially suitable for high-quality splicing demand scenes such as security monitoring and the like.

A display device includes: a display operable in a landscape mode and a portrait mode; a stand and including a power circuit configured to receive external power, a first battery, and a charging and discharging circuit configured to control charging and discharging of the first battery; and one or more processors configured to: control the charging and discharging circuit to charge the first battery using the external power, based on a user command for turning on the display being received, provide a portion of the external power to the display as first driving power, and control the charging and discharging circuit to provide another portion of the external power to the first battery as charging power, where the one or more processors are configured to provide output power of the first battery to the display as second driving power in a battery priority use mode.

The invention relates to the field of pressure sensors, in particular to a pressure sensor and a processing method, and a chip comprises a silicon substrate, a silicon dioxide dielectric layer, a device layer, a metal electrode and packaging glass. The device layer comprises a silicon carbide single crystal device layer and a silicon device layer; the silicon carbide single crystal device layer is arranged on the silicon device layer; the silicon device layer, the silicon dioxide dielectric layer and the silicon substrate are connected in sequence; the device layer is etched to form a sensitive resistor device layer, an annular sealing region and a micro-channel; the sensitive resistance device layer is isolated from the annular sealing area through the micro-channel; the device layer, the silicon dioxide dielectric layer and the silicon substrate are etched to form a cross beam etching area; the silicon substrate is etched to form a silicon pressure cavity and a beam film; the metal electrode is arranged on the top of the device layer; and the packaging glass anode is bonded at the top of the device layer or the bottom of the silicon substrate so as to solve the problems of low high temperature resistance and low sensitivity of the MEMS pressure sensor.

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.

The present disclosure generally relates to user interfaces for altering visual media. In some embodiments, user interfaces capturing visual media (e.g., via a synthetic depth-of-field effect), playing back visual media (e.g., via a synthetic depth-of-field effect), editing visual media (e.g., that has a synthetic depth-of-field effect applied), and / or managing media capture.

The invention provides a multi-language cross-culture communication assisting method and system based on a large model. The method comprises the following steps: receiving a source language audio stream during a call, calling a multi-language sound frequency harmonic modulation feature library to extract fundamental frequency harmonic intensity distribution and tone turning features, and generating a cultural acoustic fingerprint vector; based on the vector, controlling a microphone array phase difference, directionally enhancing a fundamental frequency harmonic component of a speaker and suppressing noise, and outputting a high signal-to-noise ratio spectrogram; analyzing the pronunciation rhythm and tone turning characteristics of the spectrogram, capturing the pitch jump and duration of the syllable boundary, and generating an acoustic culture label; associating the spectrogram with a target semantic library, matching harmonic distribution and a cultural context rule based on a large model, and outputting a cultural interpretation prompt containing an ambiguity resolution suggestion; and generating a calibration result according to the acoustic tag and the semantic prompt, and overlapping the dynamic floating subtitles to the face area of the speaker in the video conference picture. According to the invention, cultural tone ambiguity in multi-language communication is eliminated.

Systems, video cameras, and methods for predictive adjustment of multi-camera surveillance video data capture are described. A plurality of networked video camera is deployed with known spatial relationships and non-overlapping fields of view among cameras. When a video event is detected from video data for one of the video cameras, a video capture update message is selectively sent to other video cameras to modify their video capture operations. For example, an object detected by one camera may trigger adjustment of video capture operating parameters for cameras in a direction of travel of the object before it has entered the field of view of those other cameras.

The invention discloses an MEMS device architecture, which comprises a cap layer, a device layer and a substrate layer, the cap layer is bonded with the device layer, the bonded whole is bonded with the substrate layer, the cap layer is manufactured based on a first silicon substrate, the bottom of the cap layer is provided with a cavity structure, and the cap layer is internally provided with a high-deep groove structure. A silicon dioxide film is arranged on the groove wall of the high-deep groove structure, polycrystalline silicon is deposited and filled in the high-deep groove structure, and a silicon dioxide layer is arranged on the upper surface of the first silicon substrate; the device layer is manufactured based on an SOI wafer and comprises a first silicon structure layer composed of top layer silicon, a buried oxide layer and a second silicon structure layer composed of back substrate silicon. The substrate layer comprises a second silicon substrate, a bottom layer cavity is formed in the top face of the second silicon substrate, and exhaust holes are formed in the bottom face of the second silicon substrate. According to the method, deep groove etching, polycrystalline silicon groove filling and bonding technologies are combined, advanced materials such as the SOI wafer and the polyimide layer are utilized, and excellent signal isolation and flexibility of various MEMS IMU applications are achieved.

Aspects of the subject disclosure relate to a vehicle camera system for view creation of terrain view locations. A vehicle includes a first camera and a second camera and includes a processor configured to receive a route request to provide a route projection for the vehicle. The processor receives first data from the first camera and second data from the second camera. The processor combines the first data having a first field of view with the second data having a second field of view to create a stitched image representing a scene in a combined field of view. The processor provides overlay information mapped to pixel coordinates of the stitched image and provides, for display, a terrain view that includes the stitched image and the overlay information. The terrain view may be displayed in one of multiple selectable views based on a driving mode of the vehicle.

Methods and systems are disclosed for suggesting modifications for an image using one or more machine learning models. The methods and systems select, by an interaction application, an individual content item from a plurality of previously captured content items that matches one or more criteria corresponding to sharable content and generate a prompt comprising the individual content item and a request for a plurality of suggested modifications to the individual content item. The methods and systems process the prompt by a large language model (LLM) to generate the plurality of suggested modifications to the individual content item and generate a modified individual content item corresponding to an individual suggested modification of the plurality of suggested modifications.

The invention discloses a reference camera device and system based on a motion capture system, and the device comprises a camera connection module which is used for building the signal connection between a reference camera and the motion capture system, and outputting a successful connection result of the reference camera after the successful connection; the synchronous calibration module is used for synchronously calibrating the reference camera and the motion capture camera and outputting a calibration success result after calibration succeeds; the projection module is used for projecting the to-be-measured object in the three-dimensional space to the reference camera for two-dimensional display to obtain virtual scene information; the virtual-real superposition module is used for superposing the virtual scene information and an image actually shot by the reference camera to judge whether the motion capture effect is correct or not, and if the motion capture effect is correct, outputting a motion capture effect correct result; and the data recording module is used for judging whether a recording button in the motion capture system is clicked or not, and if the recording button is clicked, recording to obtain recorded video data information and caching the recorded video data information. The method has the effect of improving the accuracy of virtual and real scene comparison during shooting of the reference camera based on the motion capture system.

A digital camera system includes an optical assembly to gather light from a desired scene, a modular imaging subsystem aligned with the optical assembly, and an image processing, recording and display subsystem.

The invention relates to the technical field of synchronous acquisition, in particular to a multi-camera synchronous data acquisition method and system, and the method comprises the following steps: based on a real-time video stream of a camera, analyzing a video frame, recognizing a moving object in a differentiated video stream, and carrying out the recognition of the moving object in the differentiated video stream; and synchronously recording the occurrence time and position change of the moving object in the differentiated camera to obtain view angle change data. According to the invention, the angle and focal length of the camera are synchronously adjusted to cope with the view angle change of different scenes, and the trigger time of the camera is uniformly configured and is synchronously started through the network, so that the time deviation is reduced, the analysis of the synchronous trigger data set and the timestamp adjustment are synchronously triggered, and the synchronization between the cameras is optimized; the consistency and synchronism of the video streams obtained from different angles are ensured, the data transmission parameters are dynamically adjusted according to the network condition, the efficiency and synchronization precision in the data transmission process are improved, and the influence of network delay and bandwidth change is effectively dealt with.