1279 results about "Video transmission" patented technology

The invention relates to the technical field of camera remote control, and discloses a camera remote control method and system based on portable WiFi. The method comprises the following steps: acquiring position information, coverage range and signal intensity of camera nodes, and constructing a distributed network topology structure; according to the distributed network topology structure, scene analysis is carried out on video content collected by a camera, and an optimal coding parameter configuration table is calculated; dividing the video frame into different priority regions according to the optimal coding parameter configuration table, and executing differential compression processing to form a video data packet with a priority mark; according to the method, video data packets with priority marks are distributed to a multi-level transmission queue, data transmission is scheduled according to the current bandwidth state of the portable WiFi, and an ordered transmission stream is generated, so that the computing load and energy consumption of each camera node are effectively balanced, stable video transmission and control response can still be kept under the condition of network fluctuation, and the video transmission efficiency is improved. And the video lagging rate and the control delay are obviously reduced.

The invention discloses a security and protection monitoring video real-time transmission method based on the Internet of Things, and relates to the technical field of security and protection monitoring video transmission, and the method specifically comprises the following steps: when a texture repetition region exists in an image frame, determining all macro blocks forming the texture repetition region in the image frame, and marking the macro blocks as texture repetition blocks; performing comprehensive analysis on each texture repetition block, and evaluating a candidate motion vector direction dispersion degree when an image frame in the security and protection monitoring video has a texture repetition area; based on the evaluation result, determining whether to classify each texture repetition block and whether to respectively match a corresponding motion vector selection strategy; and according to the matched motion vector selection strategy, respectively executing corresponding dynamic regulation and control operations. According to the method, the problem that the direction of the motion vector is discrete and uncontrollable in a texture repetition area is solved, dynamic regulation and control of a coding strategy and synchronous optimization of a decoding end are realized, and the image reconstruction precision and the intelligent analysis stability are improved.

According to the packet loss prevention data transmission method and device, the equipment and the storage medium provided by the invention, the network index data of the current network is acquired in response to the data transmission instruction; inputting the network index data into a network state prediction model to obtain a prediction result of the current network state; determining an FEC redundancy strategy according to the prediction result; according to the FEC redundancy strategy, performing redundancy coding on to-be-transmitted data to obtain a redundancy data packet; and sending the data to be transmitted and the redundant data packet to a target receiving end. According to the predicted network state, the number of redundant data packets can be dynamically adjusted, unnecessary redundant data transmission is reduced, and the bandwidth utilization rate is improved. Unnecessary bandwidth waste is reduced through adjustment of dynamic redundancy coding, it is ensured that enough fault-tolerant capacity is provided when the network is unstable, data integrity is effectively ensured, and meanwhile audio and video transmission fluency and stability are improved.

The invention relates to the technical field of wireless high-definition audio and video transmission, and discloses a plug-and-play wireless high-definition audio and video transmission method and system.The method comprises the steps that foreground space texture features and audio and voice segments are obtained, and an initial feature set containing space and semantic features is obtained through semantic correlation analysis; a unified representation vector is output through multi-modal feature fusion, and a dynamic importance score is obtained by determining time sequence consistency, calculating an importance weight and performing normalization; and when the score exceeds a threshold value, segmenting the video frame in real time to determine an attention focus area and optimize a boundary, thereby generating an attention weight matrix, preferentially allocating bandwidth and forming a partition differentiation compression result. And in combination with a network bandwidth state, protection is enhanced for a key stream, the priority and the bit rate are dynamically adjusted, and high-quality audios and videos are output through decoding and recombination. According to the invention, the bandwidth allocation and compression strategy can be dynamically optimized, the transmission quality of a key area is guaranteed when the bandwidth fluctuates, and the audio and video transmission efficiency and experience are improved.

The invention discloses a hierarchical traffic prediction-based multi-terminal video display adaptive method, which comprises the following steps of: acquiring network traffic, user behaviors and equipment state information in real time by constructing a multi-dimensional feature acquisition module, and generating a dynamic feature matrix containing traffic, interaction and performance features; processing the feature matrix by using a deep learning model, and generating and dynamically adjusting a network traffic grading prediction result; formulating an optimized video content distribution strategy based on a prediction result and equipment performance parameters, and coordinating multi-terminal resource distribution; through user behavior analysis and network state monitoring, a self-adaptive video display control strategy is generated, dynamic adaptation of video resolution, frame rate and playing logic is realized, a full-link collaborative optimization module is constructed, terminal, network and application layer resource allocation is coordinated, a video transmission and display strategy is optimized, and network flow prediction and multi-terminal interaction requirements are combined to realize multi-terminal interaction. And generating a dynamic video layout and content switching strategy.

The invention discloses a network optimization method based on an online conference, which relates to the technical field of real-time audio and video transmission, and comprises the following steps: in a transnational network, deploying monitoring probes at nodes participating in the online conference for monitoring network parameters such as network delay, bandwidth, packet loss rate and jitter in real time; the method comprises the following steps: processing network parameters and predicting abnormity by using a statistical analysis algorithm and a time sequence model to obtain network condition information, and then combining global network topology and using a reinforcement learning Q-Learning model and a graph neural network GNN topology prediction algorithm; according to the method, the network condition is monitored and predicted in real time, the optimal transmission path is output by using the reinforcement learning Q-Learning model and the GNN topology prediction algorithm, the bandwidth fluctuation is predicted through the LSTM, the packet loss rate is predicted based on the Bayesian network, the data transmission strategy is optimized, the network delay, the packet loss rate and the jitter are effectively reduced, and the network performance is improved. And the smoothness and the stability of the conference are improved.

The invention discloses a semantic analysis model training method, a video data transmission method, electronic equipment and a computer readable storage medium, and belongs to the technical field of artificial intelligence and video transmission. According to the training method, a multi-task fusion network is constructed based on a MobileViT-S architecture, and target, action and scene semantic information in a video is synchronously extracted in combination with a lightweight Transform and a convolution module. Training adopts a two-stage strategy; in a pre-training stage, a general data set is used for optimizing the basic capability; in the fine tuning stage, curriculum learning and time sequence smooth loss are introduced, complex ocean scene sample weights are gradually increased, a multi-task loss function is jointly optimized, and weight balance precision and bandwidth adaptation are dynamically adjusted. Deploying the model at a ship end to extract structured semantic information; a shore base restores a video through a GAN + Diffusion model, and the time sequence consistency is improved in combination with optical flow interpolation and Kalman filtering. Therefore, the problem of video real-time transmission in a low-bandwidth scene is solved, the method can be applied to the fields of ship monitoring, remote cooperation and the like, and the transmission efficiency and reliability are remarkably improved.

The invention relates to the technical field of video monitoring communication, in particular to a 5G high-definition video monitoring method and system for a smart city, and a medium, and the method specifically comprises the steps: obtaining a 5G high-definition video based on the moving features of each feature point of a moving target between each frame and a previous frame image in a monitoring video, and the gray gradient change condition in each channel image of an RGB image of each video frame; constructing an information rich characteristic value of each video frame; calculating a bandwidth influence coefficient of each detection time period based on a data fluctuation abnormal condition of the network bandwidth data in each preset detection time period; constructing a video transmission quality coefficient by combining the features, optimizing a quantization parameter of a video coding algorithm in the current detection time period, carrying out coding transmission on the monitoring video in the current detection time period, and carrying out intelligent analysis on the transmitted monitoring video; the problem of frame loss or low video quality of video content with relatively high potential information value is reduced; and the interference on subsequent video monitoring intelligent analysis and target detection can be reduced.

The invention relates to the technical field of force operation robots, in particular to a VR video return system and method based on a bionic operation robot, and the system comprises a bionic operation robot end and a VR end, and the bionic operation robot end comprises a video collection module, a video preprocessing module, a video coding module and a communication transmission module. The VR end comprises a communication receiving module, a video decoding module and a VR display and interaction module. According to the immersive experience provided by the VR technology, an operator can observe the working environment and the operation target of the bionic operation robot more intuitively and accurately, so that an operation instruction is sent more accurately. For example, in the operation of the bionic robot, an operator can see the detailed situation of the transformer substation through VR video return, and the bionic operation robot is accurately controlled to carry out fine operation.

The invention relates to a method for dynamically adjusting parameters of a video encoder, which comprises the following steps of: acquiring a visual characteristic index corresponding to a video frame image in real time, and calculating an image complexity score of the image according to the visual characteristic index; the visual feature indexes comprise motion intensity, edge density and information entropy; acquiring a network index of a video transmission network in real time; the network indexes comprise available bandwidth, delay, jitter and packet loss rate; obtaining a current encoder control parameter according to the current image complexity score and the network index; the control parameters of the encoder comprise GOP, GP, FPS and Buffer Size; and adjusting the encoder according to the obtained control parameters of the encoder. The method is superior to an existing fixed parameter coding system in the aspects of image quality, delay control, system robustness and adaptability.

The invention particularly relates to a mobile camera management system capable of adaptively adjusting video coding quality. According to the mobile camera management system capable of adaptively adjusting the video coding quality, a network condition monitoring and predicting module is used for monitoring the current network bandwidth and packet loss rate in real time and predicting the network state; the video coding control module is used for dynamically adjusting video coding parameters according to the current network bandwidth and the ROI; and the adaptive adjustment strategy module is responsible for issuing a video coding strategy to the video coding control module according to the data fed back by the network state monitoring and prediction module so as to realize dynamic adjustment of the video coding quality. The mobile camera management system capable of adaptively adjusting the video coding quality can avoid video lagging and frame loss when the network bandwidth is relatively low, is suitable for various mobile devices such as a vehicle-mounted device, an unmanned aerial vehicle and a wearable camera, effectively improves the continuity and availability of video transmission, and realizes stable application in an environment with unstable signals.

The invention provides a user experience optimization method and system for an audio and video transmission system, and the method comprises the steps: firstly obtaining a transmission quality data set in the audio and video transmission process of a target terminal, the transmission quality data set comprises a plurality of transmission session sequences, and each transmission session sequence is composed of network fluctuation, coding and decoding parameters, user feedback and other features; performing transmission feature extraction on the data set to obtain audio and video synchronization, dynamic code rate and decoding delay features, calling a pre-trained reinforcement learning optimization model, performing dynamic aggregation processing on the features to generate a transmission quality evaluation result, and finally determining a dynamic transmission optimization strategy based on the transmission quality evaluation result. And the real-time transmission parameter adjustment operation is triggered, so that the user experience of the audio and video transmission system is optimized.

The invention provides a VR (Virtual Reality) video adaptive code rate control method based on multi-agent reinforcement learning, which relates to the technical field of VR, and comprises the following steps: acquiring historical video block transmission data prediction bandwidth and evaluating network stability, selecting probability distribution based on an Actor network output code rate of a multi-layer perceptron structure, and determining the probability distribution of the multi-agent reinforcement learning. Structural similarity and re-buffering indexes are calculated for the video blocks to construct a comprehensive reward function, local observation information is acquired by utilizing a multi-agent joint state vector, group information is integrated through attention weight, and network parameters are updated by adopting a strategy gradient method and an Adam optimizer to realize code rate optimization. According to the invention, the VR video transmission quality can be effectively improved, the re-buffering probability is reduced, the continuity and fluency of user watching experience are ensured, the code rate switching frequency is reduced, and the system stability is improved.

The invention belongs to the technical field of audio and video transmission, and relates to an audio and video transmission method and system with a self-adaptive network bandwidth, and the method comprises the steps: collecting audio and video signals through an audio and video coding assembly, generating coding data based on preset coding index parameters, and storing the coding data in an audio and video coding cache; millisecond-level real-time bandwidth sensing is realized through a local dynamic bandwidth sampling technology, so that the dependence on feedback of a receiving end is thoroughly eliminated, and the lagging phenomenon caused by delay is radically reduced; and a multi-level network state discrimination mechanism is constructed by further combining the two indexes of the data transmission cache utilization rate and the transmission rate, the network state is refined into four levels, and the strategy is dynamically adjusted, so that the congestion control response precision is remarkably improved. Under a network congestion scene, through intelligent filtering of non-key frames, shortening of an I-frame interval and reduction of redundant data transmission, key picture continuity and audio stream continuity are guaranteed preferentially, and the problems of network burden and service quality reduction caused by traditional full-amount transmission are solved.

The invention relates to the technical field of wireless streaming media, in particular to a real-time video transmission method and system based on 5G, and the method comprises the following steps: based on mobile terminal equipment, analyzing the signal strength and service bearing change of a 5G base station, screening an optimal access sequence, comparing channel capability with video partition characteristics, and adjusting coding parameter distribution. And analyzing link capability and packet loss performance, and optimizing uplink and downlink compression parameters to obtain a compression change trend. According to the invention, by dynamically identifying the signal association and network load change between the mobile terminal and the 5G base station, the multi-dimensional access priority sequence is generated in combination with the real-time bandwidth demand, the coding and allocation parameters are flexibly adjusted according to the video partition content characteristics and the wireless channel adaptation condition, and the access priority sequence is optimized in combination with the uplink and downlink performance and the frame type change. Dynamic regulation and control and synchronous updating of compression parameters are automatically completed, continuous transmission of video streams in a complex network environment is achieved, and the end-to-end consistency of video content and the integrity of picture data are improved.

The invention discloses a power grid monitoring video quality enhancement method, system and device and a storage medium, which are applied to the technical field of image processing, and comprise the following steps: determining an electromagnetic interference area; acquiring a plurality of continuous video frames of the monitoring video; performing multi-scale feature extraction processing on all the video frames to obtain a spatial domain feature and a frequency domain feature of each video frame; processing the spatial domain features by using a motion vector-based deconvolution algorithm to obtain detail enhanced video frames; processing the frequency domain features to obtain a de-noised time domain graph; processing the detail-enhanced video frame and the de-noised time domain graph to obtain a multi-domain fusion feature graph; and inputting the multi-domain fusion feature map into the visual quality reconstruction model to obtain a quality-enhanced power grid monitoring video. According to the method provided by the embodiment of the invention, the influence of strong electromagnetism on video transmission can be solved, the quality of the power grid monitoring video is enhanced, and the application of the power grid monitoring video in state analysis and fault diagnosis of power equipment is ensured.

The invention relates to the technical field of video monitoring, in particular to a cloud-based video behavior monitoring system, which comprises a video bandwidth control module, a behavior calculation scheduling module, a monitoring area adjustment module, an environment task optimization module and a monitoring resource allocation module. According to the invention, through real-time bandwidth state monitoring and data analysis, dynamic matching of video data volume, improvement of stability and quality of video transmission, optimization of task scheduling accuracy based on pixel motion analysis and target activeness evaluation, reasonable distribution of monitoring resources, statistics of behavior density and judgment of trend are realized, and priority uploading of high-density area data is ensured. According to the method and the system, monitoring data imbalance is avoided, network flow detection and bandwidth recovery identification are combined, intelligent task sorting is realized, the resource utilization rate is improved, low-priority task allocation is optimized through calculation load detection and resource analysis, so that monitoring is stably operated in a high-load environment, and the real-time performance, the intelligent level and the accuracy of abnormal behavior detection are improved.

The embodiment of the invention discloses a video safety playing method and device based on multi-dimensional protection and a medium, and relates to the technical field of video transmission, and the method comprises the steps: obtaining terminal device information under the triggering of a video playing request of a target playing terminal, performing two-factor authentication on the target broadcast terminal based on the terminal equipment information and terminal registration information pre-stored in a block chain node, and determining an equipment authentication result; collecting a real-time network index of each transmission path through a pre-deployed network probe, and screening a target transmission path from the plurality of transmission paths based on the real-time network indexes; and when the device authentication result is passed, acquiring watermark fragment data corresponding to a target video stream in a pre-constructed block chain node, so as to transmit the watermark fragment data to the target broadcast terminal through the target transmission path, and monitoring the transmission process in real time to realize safe broadcast of the target video stream.

The invention discloses a video transmission image stitching data enhancement method based on deep learning, and relates to the field of video image processing. The method comprises the following steps: S1, acquiring and screening images; s2, continuously screening structures and selecting key frames; s3, correcting image distortion; s4, splicing and fusing the images; s5, performing image enhancement output; firstly, a sliding time window mechanism is adopted, multi-dimensional image quality screening is combined, fuzzy, underexposure or severely-shielded inferior frames are accurately removed, and high quality of input key frames is ensured; through intelligent splicing and enhancement of a dynamic adaptive threshold strategy and semantic guidance, the image splicing precision and efficiency of the unmanned aerial vehicle and the multi-view camera in a complex environment are remarkably improved; besides, semantic segmentation guided feature extraction is combined with a multi-band fusion technology, seamless splicing is realized, the quality of an output image is improved, and the reliability of automatic analysis and decision making is remarkably improved.

The invention provides a video stream transmission method and device and a storage medium, and relates to the technical field of video transmission. The method comprises the steps that a transmitted first video stream is received, and the acquisition process of the first video stream comprises the steps that a front end preprocesses an original video stream, and preprocessing comprises at least one of noise reduction and compression; performing super-resolution enhancement and frame interpolation processing on the first video stream to obtain a target video stream; the target video stream is transmitted to the video receiving object based on the current network bandwidth and / or the video receiving object connected with the target video stream, transmission comprises any one of layered transmission and overall transmission, and according to the embodiment of the invention, super-resolution enhancement and frame interpolation processing can be performed on the video stream in the video stream transmission process; the resolution of the video image in the video stream received by the client is improved, the loss of the video frame is reduced, the video playing effect is effectively improved, and the user experience is improved.

A defibrillator or monitoring system may comprise a defibrillator, at least one video camera configured to acquire a video of a subject being treated by the defibrillator, a data collection unit configured to collect data associated with the subject, a communications unit configured to establish a communication channel between the defibrillator system and an emergency response center; and a processing unit configured to cause transmission to the emergency response center of at least one of the video of the subject and the data associated with the subject.

The invention relates to the technical field of audio and video transmission, in particular to an internal and external network audio and video secure transmission method and system based on a cloud platform. By combining the load balancing technology with the real-time load state and the audio and video stream characteristics of the cloud platform, the encrypted traffic can be dynamically distributed to a plurality of back-end servers, and the calculation overhead in the encryption process can be effectively reduced through selection of the lightweight asymmetric encryption algorithm and the optimized key exchange process; in a handshake stage, by optimizing a key negotiation process and adjusting a key exchange process according to segmentation characteristics, the execution efficiency of a protocol is further improved, and by dynamically adjusting the execution opportunity of encryption operation, it is ensured that the encryption operation is executed at a proper opportunity, and the encryption efficiency is improved. By monitoring and adjusting the load distribution strategy and the encryption parameters in real time, the system operation mode can be dynamically adjusted according to the distortion degree and the transmission state of the audio and video streams, and the distortion degree of the audio and video streams is effectively reduced.

The invention discloses a secure video transmission method based on a block chain and multi-path dynamic routing, and belongs to the field of video data secure transmission. According to the invention, malicious nodes are identified and isolated through a black hole detection mechanism, data packet loss and tampering are avoided, and the security of video data transmission is improved. And credibility calculation is carried out on the nodes, and only credible nodes are selected for data transmission, so that retransmission and resource waste are reduced. According to the dynamic routing optimization, the optimal path is quickly selected by analyzing the network topology and the node trust value in real time, the transmission delay caused by node failure or path change is reduced, and the network stability and the transmission efficiency are improved. And finally, introducing a block chain technology, recording operation in a data transmission process in a tamper-resistant distributed account book, and verifying the integrity and authenticity of the data by using a content identifier. The decentralization characteristic of the block chain enhances the transparency and traceability of the transmission process, and effectively prevents data tampering and information leakage.

The invention provides a non-contact river flow measurement method and system based on a target tracking algorithm, and relates to the technical field of hydrological survey, and the method comprises the steps: when a monitoring period is triggered, recognizing and determining a plurality of target floaters in a target river region through a plurality of river cameras, and carrying out the video shooting of the plurality of target floaters, a plurality of camera videos are obtained; transmitting the plurality of camera videos to a processor, and tracking and sorting the plurality of camera videos to obtain a plurality of target floating object videos; analyzing the flow velocity of each target floater according to the plurality of target floater videos to obtain a plurality of floater flow velocities, and obtaining the current river flow of the target river region; the early-stage river flow of the last monitoring period is obtained, the river flow increment is obtained through comparison, and when the river flow increment is larger than an increment threshold value, flow abnormity early warning is conducted. The technical problem that in the prior art, a contact type measurement method is inaccurate and unreliable in river flow measurement is solved.

The invention discloses a high-resolution and low-delay audio and video transmission method and system, which realize high-quality and low-delay remote audio and video transmission by dynamically negotiating transmission resolution and self-adaptive compression coding. The method comprises the following steps: constructing a resolution negotiation matrix through extended display identification data based on receiving end equipment, and determining an optimal transmission resolution parameter; the compression ratio is dynamically adjusted in combination with network bandwidth fluctuation, a compressed data stream is generated by adopting inter-frame prediction coding, and the anti-interference capability is enhanced through forward error correction and time division multiplexing packaging; and finally, the differential signal pair is transmitted to a receiving end to be decoded and restored into a standard audio and video signal. According to the method, the transmission delay is remarkably reduced while the high-resolution image quality is ensured, the method effectively adapts to a complex network environment, the transmission distance and stability are considered, and the method is suitable for application scenes such as remote conferences and real-time monitoring which have high real-time requirements.

The invention discloses a vehicle-mounted video transmission hybrid topology network, and relates to the technical field of vehicle-mounted video communication. The vehicle-mounted video transmission hybrid topology network comprises a plurality of transmission nodes, each transmission node comprises at least one input port and at least one output port, and the plurality of transmission nodes form a hybrid network of a tree topology structure and a daisy chain topology structure; wherein the tree topology structure in the hybrid network comprises a root node and a plurality of subordinate sub-nodes, the daisy chain topology structure is a sub-branch of the tree topology structure, and the hybrid network comprises a main link and a standby link which are used for signal transmission. Through innovative designs such as hybrid topology, dynamic bandwidth allocation, data retransmission, redundant channels, routing address query and the like, high bandwidth, low delay and high reliability in the field of vehicle-mounted video transmission are realized.

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

The invention provides a video coding and compression transmission method for intelligent equipment, which belongs to the technical field of video coding and compression transmission, realizes advanced channel quality estimation by establishing a channel prediction model enhanced by a spatial transformation network, configures layered coding parameters according to a prediction result and optimizes motion search in combination with inertial measurement unit data. An optimal coding mode is selected by an application rate distortion optimization algorithm, enhancement layer sending is adjusted according to real-time feedback by adopting a dynamic transmission scheduling strategy, and differential forward error correction protection and a time-space domain error concealment mechanism are matched; the technical problem that video transmission is unstable due to violent fluctuation of channel quality when intelligent equipment moves and works in complex electromagnetic environments such as a transformer substation is solved.

The invention relates to the technical field of image stitching, and discloses a video transmission high-definition image intelligent stitching method and system. The system comprises an image preprocessing module, a feature point matching and screening module, an image optimal splicing seam generation module and a video output module. The method comprises the following steps: firstly, acquiring a video, carrying out dynamic range equalization, carrying out filtering processing by using an adaptive noise reduction method, and carrying out image correction; secondly, extracting feature points by using a self-adaptive corner detection algorithm, matching the feature points based on a multi-dimensional spatial data index to obtain feature point matching pairs, and screening the feature points; searching an overlapping region, and introducing a dynamic search algorithm to generate an optimal image splicing path to obtain an optimal image splicing seam; and finally, dividing the image according to the dynamic grid, and realizing video output by using priority ranking. According to the method, the video images are processed and spliced, the purpose of intelligent image splicing is achieved, and the method is accurate and objective.

A video transmission method for transmitting video data through a plurality of links includes when at least one predetermined condition related to the plurality of links is met, dispatching a plurality of MAC (Media Access Control) protocol data units (MPDUs) including video data to generate a plurality of physical protocol data units (PPDUs) to be transmitted through the plurality of links, the sequence numbers of a plurality of MPDUs in each PPDU are non-sequential, transmitting the plurality of PPDUs through the plurality of links.