742results about "Standards conversion" patented technology

Disclosed is a method for training a diffusion model for image-to-image translation, which is performed by a computing device. The method may include: obtaining an image of a target domain; sampling random noise from a distribution of a source domain; and training a diffusion model that translates an image of the source domain to the image of the target domain based on the sampled noise.

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 provides an intelligent frame interpolation and fluency improvement system and method for video content, and relates to the technical field of video processing, the system comprises a preprocessing module, a frame extraction module, a frame analysis module, a frame interpolation module, a fusion module, a post-processing module, a fluency optimization module and the like, and the preprocessing module carries out denoising, color correction and brightness equalization on a video; the frame extraction module extracts frame sequence features by using a deep convolutional neural network; the frame analysis module calculates inter-frame similarity and a motion vector; the frame interpolation module generates an interpolation frame based on deep learning; the fusion module fuses the interpolation frame and the original frame; the post-processing module performs edge smoothing and frame rate adjustment; according to the system, the video fluency can be effectively improved, the sawtooth phenomenon is reduced, the frame rate is dynamically adjusted according to the equipment performance and the user requirement, and the high-quality video playing experience is achieved.

Various embodiments provide methods, apparatuses, and computer program products. An example apparatus includes at least one processor; and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform: encoding signaling information in or along a bitstream, wherein the signaling information enables or supports performing visual temporal extrapolation; and signaling the signaling information.

The invention provides a natural resource investigation monitoring method and device and electronic equipment, and relates to the technical field of resource investigation monitoring, based on a natural resource investigation monitoring system, the natural resource investigation monitoring system comprises a master control vehicle and cloud equipment; the natural resource investigation monitoring method comprises the following steps: acquiring a task planning scheme through a decision support system by using cloud equipment; controlling a master control vehicle to collect original multi-modal data through the task planning scheme; performing space-time calibration processing on the original multi-modal data to obtain target multi-modal data; performing target detection on the target multi-modal data to obtain target detection image data; performing data compression on the target detection image data to obtain bit stream data, and sending the bit stream data to a cloud device; and decoding the bit stream data by using the cloud equipment to obtain a natural resource survey monitoring report. According to the invention, the accuracy of natural resource investigation and monitoring is improved.

The invention provides a DDR (Double Data Rate) interface arbitration control method suitable for video processing, which relates to the technical field of embedded computer video processing, and comprises the following steps of: respectively setting a data volume fixed length for a plurality of mutually independent video storage control channels; performing arbitration control on the current state through a DDR interface arbitration controller, if the write operation is operated, judging whether the current to-be-written cache amount of the video storage control channel reaches the data volume fixed length of the channel, and if the read operation state is operated, performing arbitration control on the current state; and if not, judging whether the current to-be-read cache amount of the video storage control channel reaches the data volume fixed length of the channel. According to the DDR interface arbitration control method, the abnormal condition that null data FIFO is read can be avoided, and the reliability is high; the channel switching frequency is reduced, and the data access efficiency is improved; frequent change of multiple addresses is avoided, the stability is high, and the stability and reliability requirements of multi-channel image data processing and image display of an embedded computer are better met.

Disclosed embodiments relate to a medical system including a video signal translator. The video signal translator is configured to: receive a first video signal from an imaging device, the first video signal having a first video signal format; translate the first video signal from the first video signal format to a second video signal format that is different from the first video signal format; and output, to a control unit, the translated video signal as a second video signal. The control unit is further configured to receive the second video signal and process the second video signal for output to an electronic display.

The invention discloses a double-control method and system for a set top box and a television based on star flash, and the method comprises the steps: enabling a star flash remote controller to serve as a server to be connected and paired with a first adapter and a second adapter, enabling the first adapter and the second adapter to serve as clients to be connected to the set top box and the television respectively, and generating a pairing connection relation; based on the pairing connection relationship, the second adapter obtains an information source state and a floating window state of the television through a preset protocol, and transmits state information to the remote controller to generate a control mode judgment basis; based on a control mode judgment basis, the remote controller adaptively determines that the current control mode is a set top box mode and / or a television mode, and sends key data or voice data to the corresponding first adapter and / or second adapter through a star flash communication protocol, and the key data or voice data is transmitted to the set top box and / or the television through the first adapter and / or the second adapter. And double control is realized. The user operation is simplified, and it is ensured that the user can directly control the currently moving device.

The invention provides a self-adaptive real-time image quality enhancement method and system, and the system comprises an image data conversion module which is used for converting YUV format data of a video stream into an RGB format through OpenGL, and further converting the RGB format into an HSL color space; the adaptive brightness enhancement module dynamically adjusts an enhancement coefficient according to the brightness component of the current frame; the multi-frame joint skin color detection module is used for determining a skin color area based on the chromaticity and saturation threshold range of the HSL color space; the local self-adaptive color enhancement module is used for inputting image generation dynamic parameters and performing color enhancement; the noise analysis and noise reduction module is used for performing soft threshold processing on the high-frequency signal; the texture adaptive detail enhancement module is used for adjusting sharpening strength based on texture complexity; and the GPU acceleration processing framework is used for rendering and outputting the enhanced RGB image in real time. Through a series of technical innovations, the image quality of video playing and the user experience are remarkably improved in multiple aspects, and the method has important practical application value.

An electronic device is provided. The electronic device includes a housing, a flexible display, a memory storing executable instructions, and at least one processor, wherein the instructions are configured to, when executed, enable the at least one processor to identify a first event triggering a first display operation for displaying an image based on a rotation of the electronic device, identify a second event triggering a second display operation for displaying an image based on a change in an area of the flexible display, and sequentially change a display attribute of an image displayed on the flexible display.

The invention provides a video processing method and device, computing equipment, a medium and a program product, and belongs to the field of video processing. The video processing method comprises the following steps: for any to-be-processed frame in a to-be-processed video, determining a first pixel set and a second pixel set corresponding to the to-be-processed frame from a plurality of pixels based on respective motion state information of the plurality of pixels of the to-be-processed frame; according to the respective motion vectors of the plurality of first pixels, determining the pixel positions of the plurality of first pixels in the prediction frame to obtain a first prediction pixel set corresponding to the prediction frame; determining a second prediction pixel set corresponding to the prediction frame based on a second pixel set corresponding to at least one to-be-processed frame before the to-be-processed frame in the to-be-processed video; and generating a prediction frame based on the first prediction pixel set and the second prediction pixel set. The method can improve the video rendering effect.

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 utility model provides a station CCTV system multi-picture processor detection device, and belongs to the technical field of equipment detection. The station CCTV system multi-picture processor detection device comprises a multipath serial digital interface SDI signal generation circuit, a high-definition multimedia interface HDMI signal generation circuit and a display module. The input end of the multipath SDI signal generation circuit is connected with a signal source; the output end of the multi-path SDI signal generation circuit is connected with the input end of the multi-picture processor; the input end of the HDMI signal generation circuit is connected with the output end of the multi-picture processor; the output end of the HDMI signal generation circuit is connected with the display module; the display module is used for displaying pictures. The station CCTV system multi-picture processor detection device provided by the utility model is not limited by test time, and can carry out function detection on the CCTV system multi-picture processor without setting up an independent test device, thereby reducing the detection cost.

The invention provides an implementation method for converting a GB28181 protocol RTP video stream into a low-delay HTTP-PS video stream, which is applied to an HTTP-PS server and comprises the following steps: step 1, receiving a streaming media playing HTTP connection request of a client; step 2, analyzing a device code DEV1 and a channel code CHANNEL1 of a target video source from the streaming media playing HTTP connection request, and creating an HTTP response object; step 3, randomly acquiring an unused TCP port P1 from the local machine, and starting the Socket service S1 to monitor the port P1; step 4, initiating a stream taking request to the SIP server to request the SIP server to send the RTP video stream of the target video source to the Socket service S1; step 5, after the Socket service S1 receives the RTP data after each PS data packet is subpackaged sent by the target video source, the RTP data is packed in real time to obtain the PS data packet, and the PS data packet is written into the HTTP response object, so that the client obtains the PS packet data from the HTTP response object and displays a frame of live broadcast picture; and step 6, when monitoring that the HTTP connection is disconnected, stopping the Socket service S1.

The invention relates to the technical field of computer vision and deep learning, in particular to a video resolution improving method based on an AI vision engine and related equipment. The method comprises the following steps: receiving an input low-resolution video, and carrying out continuous frame group division on the low-resolution video; multi-scale feature extraction is carried out on each frame group to obtain an initial feature image corresponding to each frame group, and multi-scale features comprise shallow edge textures and deep semantic contents; performing feature alignment and fusion on the preset frame number of initial feature images to obtain a target spatial-temporal feature image frame; performing up-sampling processing on the target spatial-temporal feature image frame to obtain a target high-resolution image frame; and integrating all the target high-resolution image frames, and outputting a target high-resolution video stream. According to the method, video time sequence information can be efficiently and accurately utilized, vivid details can be generated while the resolution is improved, and the calculation efficiency is considered.

The invention discloses an image cross-domain transmission method and a double-domain architecture platform. In the method, a component in a first operating system domain performs image rendering, writes rendering completion data into a cross-domain shared memory after rendering is completed, and sends a rendering completion notification to a second operating system domain; and after receiving the rendering completion notification, the component in the second operating system domain reads the rendering completion data from the cross-domain shared memory, realizes picture output based on the rendering completion data, and sends a vertical synchronization signal to the first operating system domain, so that the component in the first operating system domain performs next-round image rendering. According to the method and the device, cross-domain image transmission is realized, and the integrity of image data transmission and the fluency of image display are ensured by using the rendering completion notification and the vertical synchronization signal.

The invention relates to a trinocular camera access method based on a high-speed MIPI switch and PWM control, and belongs to the technical field of image acquisition. The method comprises the following steps: performing time division multiplexing on mobile industry processor interface hardware to obtain MIPI signals output by a first image sensor, a second image sensor and a third image sensor; mIPI signals of the first image sensor and the second image sensor are accessed to the input end of the second high-speed switch chip through the first high-speed switch chip; an MIPI signal output by the third image sensor is directly accessed to the input end of the second high-speed switch chip; the input end of the second high-speed switch chip combines the signals and then inputs the signals to the camera SOC chip, and the camera SOC chip carries out sequential control on the first high-speed switch chip and the second high-speed switch chip according to the PWM control signals. And the expansibility and flexibility of the system are enhanced, so that the chip can easily adapt to diversified hardware configuration and scene requirements.

The invention belongs to the field of video data processing, and discloses a multi-channel video transmission system and method based on an FPGA and RK3588, the system comprises an FPGA platform and an RK3588 platform, and the FPGA platform is connected with the RK3588 platform. The FPGA platform comprises a multi-mode LVDS decoding module, a data interface conversion module, a read-write cache component, a DDR memory and a PCIE bridging module. The RK3588 platform comprises a PCIE (Peripheral Component Interface Express) controller, a video buffer pool, a video compression coding module and a data sending processing module; and the PCIE controller is connected with the PCIE bridging module. The multi-channel video transmission system and method can be widely applied to display products, the system application flexibility is high, compression and transmission of multi-channel videos can be supported at the same time, more application scenes can be met, and high practical value and economic value are achieved.

This application provides a video recording setting method. The method includes: displaying, by the electronic device, a first video picture, a second video picture, and a first control; displaying, by the electronic device, a second control, a third control, and a fourth control in response to a first user operation performed on the first control, where the second control is displayed in a selected state, and the third control is displayed in an unselected state; stopping displaying, by the electronic device, the first video picture in response to a third user operation; and displaying, by the electronic device, the second control, the third control, and a fifth control in response to a fourth user operation performed on the first control, where the second control is displayed in an unselected state, and the third control is displayed in a selected state.

A method of transferring data via an adaptive bit rate is described. The method includes, (i) in conjunction with capturing video data at the glasses and in response to receiving a request from the user of the glasses to stream the video data at the first device, receiving data used to assess a data transmission characteristic of the first narrow bandwidth communication channel, (ii) in accordance with a determination that the data transmission characteristic satisfies a first threshold, causing the video data to be sent at a first bitrate, (iii) in conjunction with capturing additional video data at the glasses, receiving new data used to assess a new data transmission characteristic of the first narrow bandwidth communication channel, and (iv) in accordance with a determination that the new data transmission characteristic satisfies a second threshold, causing the additional video data to be sent at a second bitrate.

The invention discloses an immersive video perception transmission method based on implicit integrated viewport prediction and representation learning code rate decision, and relates to the technical field of immersive video transmission and intelligent content perception coding optimization. In order to solve the problems of insufficient viewport prediction generalization, non-adaptive user preference modeling and poor stability under network disturbance in the prior art, the invention provides a method for establishing an implicit integrated viewport prediction model of a multi-input-output structure by collecting user head motion trail and view field thermodynamic diagram data; constructing a code rate decision engine of mutual information constraint by combining representation learning and reinforcement learning, and realizing tile-level dynamic code rate allocation according to a prediction result and user preference; introducing an adversarial training mechanism of bandwidth jitter and packet loss disturbance to enhance robustness; and end-to-end adaptive optimization is realized by adopting cloud, edge and terminal collaborative deployment. The method is suitable for a high-bandwidth and low-delay scene, the definition of a core visual area can be guaranteed, meanwhile, the bandwidth is remarkably saved, and the user experience continuity is improved.

The invention provides an electricity meter identification and registration method which is realized through image acquisition equipment and a mobile phone, and the method comprises the steps that an optical lens acquires an electricity meter bar code image, a main control chip carries out light compensation, light filtering, temperature difference compensation and jitter elimination processing, and an AD conversion module converts an analog image signal into a digital image signal. The image processing chip compresses the digital image signal into an MJPEG format and transmits the digital image signal to the mobile phone through a UVC protocol, an application program in the mobile phone decompresses the image and identifies the identity of the electric meter through a deep learning model, and then registration management of installation or disassembly of the electric meter is carried out.

A source device includes a wireless communication module, a memory, and a processor. The processor is configured to transmit screen image data, generated by the source device to be displayed on a sink device, to the sink device through the wireless communication module. The processor is also configured to determine whether a target application configured to change a transmission amount of user input data generated in a screen image that is based on the screen image data, by an input device connected to the sink device is being executed while the screen image is being displayed on the sink device. The processor is further configured to adjust a transmission bit rate of the screen image data by changing a transfer profile for transmitting the screen image data, based on a determination that the target application is being executed.

The invention discloses endoscope host equipment with multiple matched handles, which comprises an interface module and a signal processing system, the interface module is constructed as an MXM interface and is used for receiving image data acquired by a handle image sensor, and the interface module comprises a digital interface and an analog interface which are respectively used for connecting a digital signal line and an analog signal line. The signal processing system is connected to the interface module and comprises an analog-to-digital converter, a synchronous FIFO module, a row cache module and an output port. Wherein the analog-to-digital converter is connected to the analog interface and is used for receiving an analog signal and converting the analog signal into a digital signal; the synchronous FIFO module is connected to the analog-to-digital converter and the digital interface and is used for receiving digital signals and realizing data buffering; the line cache module is connected to the synchronous FIFO module and is used for rearranging the image data to form the image data in the RAWData format and caching the image data; and the output port is connected to the line cache module and is used for outputting the digital signal.

An audiovisual system with a shared image-processing procedure and a method for processing video therein are provided. The audiovisual system performs the image-processing procedure on a specific format video for optimizing images of the video. If a video format is not supported by the image-processing procedure in the audiovisual system, the video is converted to a video format supported by the audiovisual system. Various videos of different formats can accordingly share the same image-processing procedure. In the method, a first format conversion procedure is performed for converting a received second format video to a first format video that is supported by the image-processing procedure performed in the audiovisual system. The first format video can then be processed by the audiovisual system. It is determined if one more format conversion is required according to the format supported by a display at an output end of the audiovisual system.

The invention discloses a high-speed image acquisition and transmission system and method based on an FPGA (Field Programmable Gate Array), and the method comprises the steps: configuring a working mode and the number of data output channels of an image sensor by the FPGA through an SPI (Serial Peripheral Interface) after power-on reset; after configuration is completed, the sensor starts to collect image data, the image data is written into the DDR to be cached after being cached by the FIFO, and finally the data in the DDR is read out and transmitted to the upper computer through the Ethernet; according to the invention, the requirement of a machine vision system on real-time acquisition of clear images during image processing can be met.

The invention relates to a video frame insertion method of a generative video diffusion model based on event guidance, and the method comprises the following steps: constructing an event guidance generative video diffusion network, the event-guided generative video diffusion network comprises a condition generator MMCG, a pre-trained VAE encoder / decoder, a space-time attention condition U-type network Unet and a guided embedded feature aggregation module GEA, and the condition generator MMCG comprises a region of interest ROI selector, a voxel feature extractor VFE, a multi-modal feature fusion module MMF and a three-dimensional residual learning module 3DVR; and adopting a two-stage training strategy: inputting the video data and the event stream data into the guide generation type video diffusion model to obtain an interpolation frame. Compared with the prior art, the method has the advantage of overcoming the defect that the existing video frame insertion technology is poor in performance when processing large-amplitude motion, complex illumination change and low-texture areas.

The invention relates to the technical field of video decoding, in particular to a self-adaptive video low-delay hard decoding display system, which identifies a video stream format and a switching state through a self-adaptive demultiplexing module, extracts naked stream data and judges a decoding mode; the dynamic decoder allocation module dynamically allocates decoding resources according to the mode information, and supports concurrent decoding of a whole-frame single decoder or N-fragment multi-decoders; and the frame synchronization and VCXO dynamic adjustment module outputs a latest complete frame in a whole frame mode, aligns and recombines fragmentation data according to a frame number in an N fragmentation mode, and dynamically adjusts a VCXO clock frequency based on a decoding and display time difference. According to the invention, multi-format compatibility, seamless switching of video streams and ultra-low delay display are supported, and black fields, static frames and picture tearing are effectively avoided.

The embodiment of the invention provides a video super-division method and device, equipment, a storage medium and a program product, and relates to the field of audios and videos. The method comprises the following steps: dividing each to-be-hyper-divided target video frame in a to-be-hyper-divided target video into a plurality of first reference frame subsequences with the same length, and performing frame alignment on each first reference frame in the first reference frame subsequences to obtain a first aligned frame sequence, inputting the first alignment frame sequence into a pre-trained first information accumulation model to obtain a first information accumulation feature map, and inputting the first information accumulation feature map into a pre-trained second information accumulation model to obtain a second information accumulation feature map, and inputting the second information accumulation feature map into a pre-trained super-division model to perform convolution super-division so as to obtain the super-division video frame of the target video frame, and dividing the target video to be super-divided into a plurality of first reference frame subsequences to perform short-term information accumulation, thereby improving the quality of the super-division video.

The invention discloses an interactive display method, system and device for a video and a frame extraction picture based on a configuration file, a medium and a program, and belongs to the technical field of video monitoring. The method comprises the steps of forming an initial configuration file based on power plant data, and obtaining monitoring point information according to the initial configuration file; the monitoring point information is matched with the target monitoring point information, and after matching succeeds, the priority of the target monitoring point is obtained; according to the priority of the target monitoring point, broadband resource allocation is carried out, and a resource allocation strategy is obtained; and performing video or frame extraction picture display of the target monitoring point according to the resource allocation strategy. According to the method, through dynamic resource scheduling, intelligent frame extraction adaptation and low-delay interaction, the bandwidth utilization rate is improved, the abnormal response is accelerated, the operation efficiency is optimized, and the multi-scene compatibility is enhanced.