555results about "Standards conversion" patented technology

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.

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 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 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.

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.

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 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 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 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.

A mechanism for processing video data is disclosed. The mechanism determines information from a Preselection Group Box. A segment_order field is omitted from the Preselection Group Box and sub-boxes thereof. A conversion is performed between a visual media data and the media data file based on the Preselection Group Box.

The invention provides a system architecture for video processing, and relates to the technical field of video processing. The system architecture comprises a computing power base, a driving layer, a service layer and an application layer which are arranged in sequence, the hardware of the computing power base comprises a plurality of video processing cards, each video processing card comprises a plurality of video processing chips which are connected in parallel, and each video processing chip comprises an RISC-V computing core and a video processing unit; the application layer is used for initiating a video processing task; a video processing service engine in the service layer distributes the video processing task to a target video processing chip according to the task requirement of the video processing task and the load of the RISC-V calculation core in each video processing card; the driving layer is used for carrying out standardized preprocessing on an input video corresponding to the video processing task and pushing the processed video to the target video processing chip through the PCIe switch, and the RISC-V computing core and the video processing unit of the video processing chip cooperatively process the video. According to the embodiment of the invention, the video processing efficiency can be improved.

Embodiments of the present disclosure provide a solution for video processing. A method for video processing is proposed. The method comprises: determining, for a conversion between a video unit of a video and a bitstream of the video, a candidate list for the video unit based on one or more non-adjacent video units of the video unit, wherein the candidate list is an intra block copy (IBC) candidate list or an intra template matching prediction (IntraTMP) candidate list, wherein an order positions of the one or more non-adjacent video units is predefined or based on coding information; and performing the conversion based on the candidate list.

Embodiments of the invention provide a display device and a signal direct push display method, and the method can detect the device type of an external device in response to a change event of an input signal. And when the device type is the target type, analyzing the signal refresh rate of the input signal. And if the signal refresh rate is the target refresh rate, setting the screen parameter mode as a direct connection mode according to the target refresh rate. Wherein the through mode is used for outputting a driving signal of a target refresh rate. And converting the input signal into a driving signal based on the straight-through mode, so that the display displays a corresponding playing picture according to the target refresh rate. According to the direct connection mode provided by the method, the corresponding playing picture can be displayed according to the original refresh rate of the input signal, and the processing time of the input signal is shortened, so that the problem of display delay of the input signal is solved, and the picture display fluency is improved.

The invention discloses a method and a system for outputting PGM and PVW signals through seamless switching of 24 paths of 12G-SDI ultra-high-definition videos, relates to the technical field of video production, and discloses a method and a system for outputting PGM and PVW signals through seamless switching of 24 paths of 12G-SDI ultra-high-definition videos. 24 paths of 12G-SDI video signals are subjected to grouping selection processing, the video format is unified, and a double-cache structure and a time synchronization mechanism are adopted, so that the problems of signal processing bottleneck and clock difference under a high-bandwidth condition are effectively solved; the problems of picture tearing and switching delay caused by high-bandwidth processing and signal clock difference in seamless switching of 24 paths of 12G-SDI video signals are solved, and low-delay and high-reliability PGM and PVW signal output is realized.

The utility model discloses a vehicle-mounted GMSL to HDMI (High Definition Multimedia Interface) display system, which is used for converting a coaxial GMSL signal into an HDMI signal display system to realize external connection with a traditional display screen with an HDMI interface, and comprises a coaxial video output module, a GMSL to HDMI video signal conversion module and an HDMI display module. According to the utility model, a more universal HDMI interface mode is provided for a vehicle-mounted entertainment display system, long-distance transmission of high-definition video signals in a vehicle-mounted environment is realized, and the vehicle-mounted GMSL-to-HDMI display system realizes coaxial GMSL video output conversion of the controller and is compatible with GMSL digital camera video output conversion, so that the vehicle-mounted entertainment display system is more convenient to use. The GMSL digital camera and the HDMI display screen are seamlessly connected, and an efficient and reliable solution is provided for vehicle-mounted high-definition video display.

The invention provides a video data WLAN (Wireless Local Area Network) transmission monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring data buffer time of a video sending end; performing superframe difference processing on the data buffer time and preset buffer time to obtain a buffer time difference; and sending a data retransmission loss signal to the video receiving end according to the cache time difference so as to adjust a retransmission request mode of the video sending end. Generally, video data transmission adopts a broadcast mode to send data packets, when frame number loss exists, supplementary transmission is carried out according to current buffer area data, specifically supplementary transmission is carried out in a unicast mode so as to make up the packet loss condition of opposite terminal equipment during broadcasting, and when retransmission is carried out, retransmitted fragmented packets are not received within the time range of one frame, the time range of one frame is not received. And if yes, stopping retransmission and discarding the fragmented packet so as to ensure low delay and reliability during video data transmission and further ensure the video data transmission quality.

This invention discloses a multi-protocol high-speed image data reception and alignment method and system based on FPGA, belonging to the fields of electronic information and image processing technology. It receives serial data streams from image sensors, dynamically calls FPGA serial input primitives to convert serial data into parallel data, and supports low-voltage differential signals, mobile industrial processor interfaces, and serial low-voltage signal protocols. A configurable sliding window mechanism is used to compare synchronization codes in real time and lock byte boundaries. By identifying the arrival time difference of data from each channel, hardware-level delay compensation is used to achieve multi-channel phase alignment, and data arriving early from other channels is compensated using a first-level register buffer. The image data's frame header and tail information is parsed to reconstruct the original image matrix and generate a video timing signal. This invention solves the problems of poor compatibility and high resource consumption in multi-protocol high-speed image data reception.

The utility model discloses an analog video signal processing circuit and a display, and the analog video signal processing circuit comprises an input unit which is used for receiving SOG / CVBS analog video signals; the input end of the signal operational amplifier unit is connected with the input unit, the output end of the signal operational amplifier unit is provided with a first signal branch, a second signal branch and a third signal branch, the first signal branch is used for outputting SOG analog video signals, the second signal branch is used for outputting CVBS analog video signals, and the third signal branch is used for outputting CVBS analog video signals. The third signal branch is used for outputting the SOG / CVBS analog video signal amplified by the signal operational amplifier unit; the image chip processing unit is connected with the first signal branch and the second signal branch and is used for receiving the SOG analog video signal and the CVBS analog video signal and carrying out image processing on the SOG analog video signal and the CVBS analog video signal; and the output unit is connected with the third signal branch and is used for looping out the amplified SOG / CVBS analog video signal. The analog video signal processing circuit in the prior art is simplified.

A mechanism for processing video data is disclosed. The mechanism determines information from a Preselection Group Box. A segment_order field is omitted from the Preselection Group Box and sub-boxes thereof. A conversion is performed between a visual media data and the media data file based on the Preselection Group Box.

There is provided a compression method implemented by at least one hardware processor, including: acquiring attention data generated in a layer of a deep learning model based on an attention mechanism; converting a data format of the attention data into a converted data format, wherein a bit pattern of the attention data is maintained in converting the data format of the attention data into the converted data format; realigning, based on data characteristics of input data of the deep learning model, the attention data in the converted data format; and generating first compressed data by inputting the realigned attention data to an encoder model based on an artificial neural network.

The utility model discloses a high-definition multi-path image processing structure, which comprises a shell, at least one network interface arranged on the shell, a processor arranged in the shell, a video decoder arranged in the shell and connected with the network interface and the processor, and a processor arranged in the shell and connected with the network interface and the processor. And the video receiver is arranged in the shell and is connected with the video decoder and the processor. Therefore, the system chip (system-on-chip, SoC) and the field programmable gate array (field programmable gate array, FPGA) are separately arranged, so that the required FPGA and SoC can be flexibly selected for development, the cost can be effectively reduced, the processing efficiency can be improved, the overall speed can be improved, the system load of a personal computer (PC) is reduced, and the development cost of the system chip (system-on-chip, SoC) and the development cost of the system chip (system-on-chip, SoC) can be reduced. Therefore, the structure of the utility model can carry out multi-path high-quality image processing.

The invention provides a multi-mode sensing inspection method based on terminal equipment. The multi-mode sensing inspection method comprises the following steps: collecting video data, audio data, geographic position data and IMU (Inertial Measurement Unit) data; video frames are extracted based on language trigger thinning, pose trigger thinning and visual trigger thinning; and finally, identifying hidden dangers based on the extracted video frames. According to the method, significant thinning processing of the video frames is realized through various kinds of perception information, the input load of the large model is greatly reduced on the premise that key semantic information is not missed, the problems of frame input limitation and low analysis efficiency of the multi-mode large model in analysis of the long-time industrial inspection video are solved, and the method is suitable for large-scale industrial inspection. Therefore, the efficiency and accuracy of large model analysis are improved. And the frame extraction process does not depend on a fixed frame rate, but is based on semantic driving of human behaviors and equipment states, so that the extracted key frame is more effective.

Disclosed herein are system, apparatus, method and / or computer program product embodiments for a multimedia environment that includes a computing device to display a multimedia segment within a display area of a display device including multiple display areas. The computing device may determine a multimedia segment including a plurality of frames, and display the multimedia segment within a first display area of the display device. The display device includes the first display area and a second display area disjoint from the first display area, and each of the plurality of frames of the multimedia segment are displayed within the first display area. The multimedia segment can be in a first format, and the first display area and the second display area together has a capability to display the multimedia segment in a second format different from the first format.

A system operable on a data communications network to operate on audio / video data includes a server computer communicatively coupled to the network. The server computer includes an application unit that runs an application. The application is accessible to a user device communicatively coupled to the network. The application unit requires audio / video data to run the application. The system also includes an audio / video server computer communicatively coupled to the network. The audio / video server computer transmits audio / video data over the network in response to a request. The user device includes at least a buffer, a decoder, and an output device. The server computer issues a demand request over the network to the user device to receive audio / video data for operation of the application unit. The demand request includes an identifier of the audio / video data and a network address of the audio / video server computer. The user device, upon receiving the demand request, issues a request over the network to the audio / video server computer in communication, and the audio / video server computer communicates the audio / video data over the network to the user device in communication. The user device reformats the audio / video data and communicates the reformatted audio / video data to the server computer. The server computer reverses the reformatted audio / video data to obtain substantially the original audio / video data for operation of the application unit.