47 results about "Temporal filtering" patented technology

In various embodiments, when reference picture resampling is applied to achieve better coding efficiency, methods and devices adapt temporal filtering of a noise-reduced input video prior to encoding according to a resolution ratio. According to one embodiment, temporal filtering strength values are fine-tuned at a pre-processing module according to the resolution ratio of the RPR mode. According to another embodiment, temporal filtering is deferred after rescaling when the RPR mode is enabled, and filtering strength values are fine-tuned according to the resolution ratio of the RPR mode. A third embodiment proposes to refine motion estimation in the encoder by setting the block size of motion estimation in temporal filtering according to the resolution ratio of the RPR mode.

Reduce signal bandwidth tilt. [Solution] The optical receiver 100 receives and processes the received optical signal received via the optical transmission path. The optical receiver 100 includes a DSP 105 that outputs information regarding the deviation of the amplitude characteristics of the received signal (intraband tilt), a TOF 101 that filters the received signal, and a control unit 106 that controls the settings of the TOF 101 based on the intraband tilt. For example, the control unit 106 reduces the intraband tilt by variably controlling the center frequency of the TOF.

This disclosure provides video encoding methods, apparatus, electronic devices, storage media, and programs. [Solution] The specific solution includes: obtaining a reference frame adjacent to the current frame and in which a hierarchical partitioning of the initial region of interest (ROI) has been established; reusing motion vectors generated during the motion-compensated time filtering process in the reference frame to determine the predicted ROI position of the current frame; extracting sensory feature points from the current frame and correcting the predicted ROI position based on the feature point spatial topology relationship in the initial ROI; assigning differentiated quantization parameters to the corrected primary face region, secondary face region, and background region, respectively; dynamically allocating the bitrate of the three layer regions based on real-time network bandwidth; and outputting the encoded frame of the current frame and associated ROI hierarchical metadata.

The application relates to a time filtering method, device, computer equipment, chip and medium, which comprises the following steps: acquiring a to-be-filtered signal corresponding to a current filtering number; determining target reference data corresponding to the current filtering number according to the current filtering number; determining a time filtering coefficient corresponding to the current filtering number according to the target reference data; and performing filtering processing on the to-be-filtered signal corresponding to the current filtering number according to the time filtering coefficient. The application can improve the filtering effect.

A system and method for identifying container numbers on front-mounted cranes are disclosed, relating to the field of container number identification on front-mounted cranes. To address the shortcomings of existing methods, such as inability to adapt to rainy or snowy weather and low-light conditions, poor container number identification performance, and poor anti-interference capabilities, this invention acquires video or images of containers on front-mounted cranes; extracts continuous frames from the video at a fixed frequency and performs grayscale processing on each frame to reduce computational complexity; applies temporal filtering to the preprocessed video / image; applies spatial filtering to the filtered video / image to remove isolated noise points; reduces high-frequency noise and smooths the image through weighted averaging; enhances image contrast by adjusting the grayscale distribution of the image, making the container number area clearer; and performs container number area detection and character recognition on the processed image to achieve automatic container number identification. This invention is mainly used for identifying container numbers on front-mounted cranes.

This invention provides a method and apparatus for superconducting motor quench detection based on sliding time filtering, relating to the field of superconducting motor quench detection technology. The method includes: differentially processing the terminal voltage signals of adjacent superconducting rotor magnets in the superconducting motor; conducting three trial runs of the superconducting motor before quench detection to obtain interference frequency data; establishing sliding time windows with both long and short time scales during the actual operation of the superconducting motor, and performing notch filtering on the differential voltage signals of adjacent superconducting rotor magnets; performing linear regression fitting on the filtered signals within the sliding time windows to extract effective quench signal feature values; and establishing a quench protection criterion based on the quench feature values. This invention solves the problem of achieving high reliability and rapid response in quench detection technology under the complex interference environment of superconducting motor rotation operation, a problem that is difficult to address in existing technologies.

This invention provides an automatic cleaning method and system for the hangar door side of polar shipborne helicopters. This invention belongs to the technical field of aviation ground support equipment and ship auxiliary machinery. The cleaning method includes: acquiring helicopter images, extracting key features of the fuselage, identifying the aircraft type and calculating the initial pose based on the PnP algorithm, and converting the preset cleaning path to the coordinate system of the cleaning device; generating a propeller cleaning sub-path, employing a master-slave control strategy to control two robotic arms to synchronously flush and clean the upper and lower surfaces of the propeller blades, and maintaining the balance of jet impact force through pressure closed-loop feedback; establishing a ship swaying dynamics model to estimate and predict the ship's motion state in real time, and combining the real-time feedback deviation vector obtained from laser ranging and visual acquisition to generate a corrected speed command; identifying the surface state category through temporal filtering and texture analysis, and adaptively adjusting according to the identification results.

This paper presents a method for fusing and reconstructing trajectory data from multiple sources in hybrid traffic flow, relating to the fields of multi-source sensor fusion localization and target tracking. The method acquires the 3D acceleration sequence and RGB video stream of the target object, extracting the geometric center coordinate sequence. Based on the frequency domain energy distribution of acceleration, the target's fundamental frequency parameters are obtained. Temporal filtering coefficients are constructed using the dynamic sampling rate of the video, and the geometric center coordinates are filtered to obtain a corrected center coordinate sequence, which is then mapped to a measurement vector. Kinematic state prediction is performed using acceleration to obtain prior inferred state variables, and then posterior updates are performed using the measurement vectors to obtain the optimal spatial position. The reconstructed trajectory sequence is generated by stitching the data together, and the sliding time window is updated based on feedback-optimized parameters. This method effectively eliminates spurious displacements caused by gait, fundamentally eliminating jagged oscillations in the trajectory, resulting in a smooth and stable fused trajectory.

The application relates to a high-precision positioning method based on angle information fusion estimation, and belongs to the technical field of wireless positioning algorithms, which comprises the following steps: establishing a benchmark antenna coordinate model; establishing an IQ data frame model according to a CTE protocol model; applying time filtering to the IQ data frame model in the time domain; constructing a mean reference phase difference and an angle phase difference matrix for the IQ data frame model after time filtering processing, and constructing a multi-phase difference composite signal model; constructing a signal covariance matrix by using the multi-phase difference composite signal model, applying spatial smoothing filtering to the signal covariance matrix; and fusing a dimension-reduced signal steering vector obtained by applying spatial smoothing filtering to the signal covariance matrix and a dimension-reduced noise subspace into angle estimation. The application starts from a two-dimensional antenna array spatial coordinate and an IQ data frame model, angle fusion estimation is carried out by using a hierarchical method, and the technical problem of low positioning precision of a two-dimensional antenna array in an indoor environment is solved.

The invention discloses a preset time adaptive control method and system for a high-order nonlinear MIMO system, and relates to the technical field of industrial control. The method comprises the following steps: establishing a dynamic model of a high-order nonlinear MIMO system, and approaching an unknown nonlinear function in the dynamic model by using a neural network; determining a tracking error based on the dynamic model; constructing a virtual control law based on the tracking error and defining a virtual error; constructing a preset time filter to process the virtual control law, and determining a filtering error; the parameter of the preset time filter is configured to enable the filtering error to converge in the preset time; under a backstepping recursion framework, combining a tracking error, a virtual error and a filtering error, and adopting an improved weighted integral technology to design an actual control law; and setting an event triggering mechanism based on a relative threshold value to modulate the actual control law and then output a control signal. The system stabilization time can be directly preset without being influenced by the initial state, and meanwhile the updating frequency of the controller is reduced.

Embodiments described relate to adjusting one or more pixel values in a region corresponding to an image artifact based on one or more spatial characteristics and one or more temporal characteristics to reduce or eliminate the image artifact. An electronic device may employ spatio-temporal filtering circuitry that includes spatial adjustment circuitry, temporal adjustment circuitry, and / or fuse circuitry. The spatial adjustment circuitry may perform a spatial adjustment of image data in the region of the image frame. Moreover, the temporal adjustment circuitry may perform a temporal adjustment of the image data in the region of the image frame. The fuse circuitry may then merge the spatially adjusted image data and the temporally adjusted image data in the region of the image frame.

The invention provides an insulation defect identification method, system and device for power equipment and a medium, and the method comprises the steps: obtaining a partial discharge signal, and extracting a multi-resolution time-frequency feature of the partial discharge signal through a preset window width through Gabor transformation; inputting the multi-resolution time-frequency characteristics into a pre-trained insulation defect identification model, and obtaining an identification result of the insulation defect type of the power equipment based on the output of the insulation defect identification model; wherein the insulation defect identification model is configured with a frequency filter, a time filter and a texture filter, the frequency filter, the time filter and the texture filter respectively adopt convolution kernels of different sizes, and the frequency filter, the time filter and the texture filter are respectively used for processing time-frequency characteristics of different resolutions. According to the invention, the accuracy of insulation defect type identification can be improved.

The application discloses a kind of based on motion compensation time domain filtering method for image, comprising: using autoregressive moving average model to the obtained gyroscope error is modeled, the change rule of data is used to estimate model parameter, and gyroscope error model is established;Using the gyroscope data of removing error obtained by gyroscope error model, the rotation matrix of camera is calculated, and the rotation image is compensated in reverse using rotation matrix, and the de-rotation image is obtained.Through kalman filtering to image motion vector sequence, image random jitter is obtained, and the de-rotation image is compensated according to random jitter, and the stable image and the subjective motion vector of image are obtained;Using the motion target detection algorithm in difference map based on large map coordinate system to detect target in stable image.The application has high detection sensitivity, and can detect target and its trajectory quickly through a small amount of frame track correlation.

The invention provides an image encoding method and an image encoding device. The image coding method comprises the steps that first quantization parameter information of a code rate control unit block in an image to be filtered is acquired, and the code rate control unit block represents a processing unit used for code rate distribution and image quality control; adjusting a filtering weight of a filtering block to be subjected to motion compensation time domain filtering in the bit rate control unit block based on the first quantization parameter information; performing motion compensation time domain filtering on the filtering block based on the adjusted filtering weight; and performing encoding based on the filtering result.

This invention discloses a method for constructing a real-time rendering engine for generative AI models and related equipment, relating to the field of human-computer interaction technology. The method includes acquiring multimodal semantic information from user input and converting it into latent vectors and constraint parameters; constructing a lightweight generative model and directly generating renderable intermediate representations using this model; building a rendering pipeline based on the generated intermediate representations to convert them into visualized images; capturing user operations in real-time and dynamically updating the constraints of the generative model to trigger incremental generation; optimizing system performance using model lightweighting, hardware acceleration, and hybrid rendering strategies; and ensuring temporal and spatial consistency of generated content through temporal filtering and spatial constraint techniques. This invention solves the problems of slow generation speed and low rendering efficiency in the fusion of generative AI models and real-time rendering engines, improving the efficiency and quality of visualized image generation and rendering.

Provided is a method for encoding a video, an electronic device and a storage medium, relating to the field of video encoding. The method includes: obtaining a reference frame that is adjacent to a current frame and has established hierarchical division of an initial ROI; reusing a motion vector generated by the reference frame in a motion compensated temporal filter process to determine an ROI position prediction value of the current frame; extracting facial feature points from the current frame, and correcting the ROI position prediction value based on a spatial topological relationship of feature points in the initial ROI; configuring differentiated quantization parameters for a main face region, a secondary face region and a background region after correction respectively; dynamically allocating a three-region bitrate according to a real-time network bandwidth; and outputting an encoded frame of the current frame and associated ROI-level metadata.

The present disclosure relates generally to the field of video processing, and more particularly, to high dynamic range (HDR) image processing. In particular, the present disclosure relates to a method for determining a parameter set for a tone mapping curve. The method comprises obtaining a plurality of parameter sets, wherein each parameter set defines the tone mapping curve, and wherein each parameter set is derived based on one of a plurality of HDR video frames. Further, the method comprises temporally filtering the plurality of parameter sets to obtain a temporally filtered parameter set.

This invention discloses a method for characterizing deep carbonate reservoirs based on statistical level compression transformation. The method includes: first, inputting the seismic signal to be analyzed, selecting an analysis window function and setting the Taylor expansion order, and constructing a time filter. After calculating the short-time Fourier transform and weighted transform based on the frequency domain window function, convolution filtering is performed using the time filter to construct autocorrelation and cross-correlation statistics. Based on this, a system of linear equations is established to solve for the statistical group delay estimate, and then the short-time Fourier transform coefficients are rearranged in time and frequency to obtain the statistical level compression transformation result. The seismic data is then subjected to time-frequency transformation using the above method to obtain the statistical level compression transformation result. From the time spectra of different seismic traces obtained by this transformation, time series corresponding to constant frequencies are extracted and synthesized into profile maps to characterize reservoir reflection interfaces and delineate reservoir boundaries.

The invention discloses a two-degree-of-freedom helicopter preset performance tracking control method based on reinforcement learning. The method comprises the following steps: constructing a two-degree-of-freedom helicopter dynamic model; a preset performance function is introduced, a constrained tracking error is converted into an unconstrained form through error conversion, and therefore it is guaranteed that the system reaches a steady state within preset time; designing a preset time nonlinear disturbance observer; based on a backstepping control architecture, combining with a predefined time filter, and decomposing the system into two stages of subsystems through coordinate transformation; an optimal performance index function is constructed for each stage of subsystem, an optimal control strategy is approached online by using a reinforcement learning algorithm, and an optimal virtual controller and a self-adaptive optimal actual control law are designed. According to the method, all signals in a two-degree-of-freedom helicopter closed-loop system can be converged and bounded within predefined time, transient and steady state response indexes of the system are improved, and it is ensured that the helicopter can still rapidly and accurately track a reference trajectory under complex working conditions and quantized limited conditions.

Provided are a video coding method and apparatus, an electronic device, a program product, a storage medium, and a bit stream storage method, the video coding method comprising: performing motion compensation time domain filtering on a current frame based on the current frame and a reference frame of the current frame; the current frame is coded based on the motion compensation time domain filtering result of the current frame, and motion compensation time domain filtering is carried out on the current frame based on the current frame and the reference frame of the current frame, and comprises the following steps: in the process of carrying out motion compensation time domain filtering on the current frame, carrying out motion compensation time domain filtering on the reference frame of the current frame; spatial enhancement filtering is performed on the input of the motion compensation phase, and / or spatial enhancement filtering is performed on the input of the filtering phase.

We provide a signal processing circuit. [Solution] The signal processing circuit comprises an AC signal generation unit, a binarization unit, and a time filter unit. The AC signal generation unit outputs a comparison AC signal having a predetermined amplitude and a predetermined frequency determined by a first threshold and a second threshold. The binarization unit outputs an AC signal corresponding to the comparison AC signal when the analog input signal is within the range from the second threshold to the first threshold, outputs a first-level DC signal when the analog input signal is greater than the first threshold, and outputs a second-level DC signal when the analog input signal is less than the second threshold. The binarized signal is input to the time filter unit. The time filter unit is configured to detect a first state in which the period during which the binarized signal is at the first level is longer than a predetermined time, and a second state in which the period during which the binarized signal is at the second level is longer than a predetermined time.

A video processing device may obtain a current picture of video data; determine a noise level in the current picture; and selectively apply Motion Compensated Temporal Filtering (MCTF) to the current picture based on the noise level.

A system for regulating temporal filtering strength is configurable to: (i) obtain a light level indicator indicating light level associated with a real-world environment; (ii) determine a motion compensation confidence indicator using a current image and a previous image; (iii) determine a filter weight by processing the light level indicator and the motion compensation confidence indicator using a filter strength regulation module; and (iv) generate an output image by using at least the filter weight to filter a current frame with a previous frame.

A system for generating foveated imagery is configurable to: (i) access an image; (ii) identify an ROI of the image; (iii) generate a downsampled image by performing downsampling on the image; (iv) generate a transformed downsampled image by performing one or more image processing operations on the downsampled image; (v) generate a transformed image by performing upsampling on the transformed downsampled image; and (vi) generate a foveated image by using the ROI of the image to define a corresponding ROI of the transformed image.

The invention provides a regional dimming method and device. The method comprises the following steps: carrying out block statistics on an image and then calculating a backlight value of each block; performing spatial filtering and time domain filtering processing on the backlight value to output a gray value; performing light shape simulation on the output gray value to generate brightness gain, and finally performing pixel compensation on the image according to the brightness gain to generate a compensated image; calculating a PWM value according to a gray value generated by time domain filtering to generate smooth screen backlight; and fusing the screen backlight and the compensated image to generate a final image. According to the method, the problems of non-uniform brightness and light source flickering existing in partitioned light control can be effectively improved.

A lock-detection circuit designed for integration into a phase-locked loop or a delay-locked loop includes a first signal-duration filter processing an up signal (UP) to generate a filtered UP signal containing segments that exceed a minimum duration, and a second signal-duration filter handling a down signal (DN) to produce a filtered DN signal with segments surpassing the minimum duration. Additionally, the circuit includes first and second timers receiving the filtered signals, and an output logic circuit triggering a LOCK detected signal when both timers are activated. The minimum duration is set to exceed spikes in the UP and DN signals, accounting for jitter, and is longer than the expected duration of a phase error correcting pulse when the loop is in lock.

Embodiments described relate to adjusting one or more pixel values in a region (90) corresponding to an image artifact (80) based on one or more spatial characteristics and one or more temporal characteristics to reduce or eliminate the image artifact (80). An electronic device (10) may employ spatio-temporal filtering circuitry (110) that includes spatial adjustment circuitry (130), temporal adjustment circuitry (132), and / or fuse circuitry (134). The spatial adjustment circuitry (130) may perform a spatial adjustment of image data in the region (90) of the image frame. Moreover, the temporal adjustment circuitry (132) may perform a temporal adjustment of the image data in the region (90) of the image frame. The fuse circuitry (134) may then merge the spatially adjusted image data and the temporally adjusted image data in the region (90) of the image frame.

The invention relates to the technical field of intelligent lighting control, and discloses a holographic projection flexible lamp strip linkage control method and system, and the method comprises the steps: obtaining a projection frame sequence, carrying out the time domain filtering, and extracting a separation feature; performing frequency domain analysis on the separation characteristics, and determining an independent control channel; performing weighted fusion on the independent control channel and the background low-frequency signal to generate a fusion control sequence; performing fluctuation detection optimization on the fusion sequence to obtain an optimized control sequence; calculating a synchronization deviation between the optimization sequence and the projection frame and performing phase correction to generate a real-time linkage parameter; and performing partition brightness mapping according to the real-time linkage parameters, and outputting a final lamp strip lighting effect. The method can realize the real-time change of the brightness and color temperature of the lamp strip along with the holographic projection content, and ensures the precise synchronization and dynamic linkage of the lighting effect and the projection content.

A radar system may generate weather data using a monopulse technique. Monopulse may divide antennas into halves, enabling a comparison between the halves using a single scan compared to multiple scans. The comparison can be used to estimate the angle of arrival for a given target. The angle of arrival can be compared to a theoretical model to make weather clutter decision, using only one scan. This method eliminates target scintillation by removing the time lag that is present while performing sequential operation thereby reducing the amount of temporal filtering. This greatly enhances weather detection performance while also allowing the radar to perform additional functions. Using monopulse, as opposed to traditional radar systems, may reduce the number of scans in half thereby allowing the radar system to perform other autonomy related functions.

Disclosed herein are a system, method, and computer program product embodiments for detecting green ghost artifacts utilizing different classification techniques. One technique utilizes a keypoint generation-based classifier, where keypoint(s) corresponding to green ghost artifact(s) are generated in a region of an image that likely includes such artifacts. Another technique utilizes a mask image generation-based classifier, where a mask image is generated that includes confidence level(s) for pixel(s) that indicate a likelihood that such pixel(s) include such artifacts. A further technique utilizes a temporal filtering-based classifier, where a patch distance between a patch of pixels of the image and a patch of pixels of a corresponding history image is determined. The patch distance indicates a likelihood that such artifacts are present in the image. The output of such classifiers are utilized collectively to determine whether such artifacts are present in the image.