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8 results about "Video quality degradation" patented technology
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Multi-source data fusion and intelligent analysis method for intelligent traffic enterprise
The invention discloses a multi-source data fusion and intelligent analysis method for an intelligent traffic enterprise, and relates to the technical field of intelligent traffic, and the method comprises the following specific steps: S100, collecting video frame data, radar track data and voiceprint data of the traffic enterprise in real time, S200, calculating a quantized video definition score, S300, calculating a radar signal-to-noise ratio, and S500, calculating a video definition score. According to the method, the video, radar and voiceprint data quality can be accurately judged through multi-modal data quality real-time evaluation and credibility quantification, and a cross-modal attention weight matrix is dynamically adjusted according to a quality evaluation result in a complex environment, that is, when the video quality is reduced, the video, radar and voiceprint data quality can be accurately judged; the system automatically increases the radar data weight, ensures that high-quality data source key information is always focused, learns more accurate and comprehensive abnormal characteristics, effectively reduces the traffic accident rate, and guarantees the road traffic safety.
Owner:GUANGZHOU QINGYUN COMPUTER TECH CO LTD
Video quality analysis method and device, equipment and medium
The invention provides a video quality analysis method, device and equipment and a medium, and belongs to the technical field of video quality evaluation. The method comprises the following steps: acquiring original video data, and generating degraded video data with noise intensity, definition score and compression damage degree three-dimensional real labels through composite degradation processing; training a multi-task deep joint prediction network by using the data set; and inputting a real world degraded video to be analyzed into the trained network model, and outputting a corresponding noise intensity predicted value, a definition score predicted value and a compression damage degree predicted value. Compared with the prior art, the method has the advantages that high-fidelity simulation and automatic accurate evaluation of video multi-dimensional quality degradation factors can be realized, and the accuracy of a noise intensity prediction value, a definition score prediction value and a compression damage degree prediction value is improved; the method can be used for video coding and decoding optimization, network transmission quality control, video enhancement processing and other scenes.
Owner:AFIRSTSOFT CO LTD
Railway video quality self-diagnosis system based on multi-domain self-calibration
The application discloses a railway video quality self-diagnosis system based on multi-domain self-calibration, relates to the technical field of railway video monitoring, and specifically comprises the following modules: a data acquisition module, a multi-domain extraction module, a cross-domain diagnosis module, a self-calibration execution module and a closed-loop feedback module; visible light video frame sequences of a railway perimeter are collected in real time; feature extraction is respectively performed on the video frames in the time-space domain, the frequency domain and the semantic domain; multi-domain features are fused to generate comprehensive quality diagnosis results; calibration parameters are dynamically generated and applied according to the diagnosis results to perform adaptive optimization of the video quality; the video after calibration is verified for effects, and historical high-quality reference templates are updated; the video quality degradation condition can be comprehensively and finely perceived, and targeted calibration strategies are dynamically generated according to the diagnosis results, so that false detection and missed detection caused by video blur, noise, geometric deviation and semantic loss are effectively reduced, high-quality input data can be provided for applications such as foreign matter intrusion detection and boundary intrusion recognition.
Owner:BEIJING YINJIANG RUIXUN TECHNOLOGY CO LTD
Wireless image transmission method and system applied to live broadcast of unmanned aerial vehicle
PendingCN120881303ANetwork traffic/resource managementNetwork topologiesPacket lossTelecommunications
The invention provides a wireless image transmission method and system applied to unmanned aerial vehicle live broadcast, relates to the technical field of unmanned aerial vehicle live broadcast, and realizes efficient and stable transmission of video streams by comprehensively utilizing a WiFi link and a COFDM link and fully exerting the advantages of the two links. In the aspect of macro block processing, reasonable distribution and layered transmission are carried out according to the priority weight of the macro block, important information is ensured to be transmitted preferentially, and the quality and reliability of video transmission are improved. In the aspect of link parameter and coding parameter optimization, the parameters are dynamically adjusted in combination with the real-time acquired airborne resource state and link state of the unmanned aerial vehicle, so that the transmission process is more adaptive to the actual environment change. At the ground end, an adaptive fusion strategy is adopted to process the enhancement layer data, and the fusion mode is flexibly adjusted according to the real-time packet loss state of the WiFi link, so that the problem of video quality reduction caused by link instability is effectively reduced, and smoother and clearer live broadcast experience is provided for users.
Owner:SICHUAN GUANGXIN TIANXIA MEDIA CO LTD
A multi-source data fusion and intelligent analysis method of a smart traffic enterprise
The application discloses a kind of multi-source data fusion and intelligent analysis method of wisdom traffic enterprise, it is related to wisdom traffic technical field, the specific steps of this method are as follows: S100 real-time acquisition traffic enterprise's video frame data, radar trajectory data and voiceprint data, S200 calculates quantized video definition score, S300 calculates radar signal-to-noise ratio, S400 calculates voiceprint environmental interference index, S500, weight distribution and data fusion, the present application can accurately judge video, radar, voiceprint data quality by real-time evaluation and credibility quantization of multi-modal data quality, in complex environment, according to the quality evaluation result dynamic adjustment cross-modal attention weight matrix, that is, when video quality declines, the system automatically increases radar data weight, to ensure that always focus on high-quality data source key information, learn more accurate, comprehensive abnormal characteristics, effectively reduce traffic accident incidence, guarantee road traffic safety.
Owner:GUANGZHOU QINGYUN COMPUTER TECH CO LTD
Multi-path online live broadcast intelligent regulation and control management system
InactiveCN120455725AError prevention/detection by using return channelSelective content distributionComplex networkSMARAD
The invention discloses a multipath online live broadcast intelligent regulation and control management system, and relates to the technical field of live broadcast intelligent regulation and control management. Through double analysis of a video grammar layer and a bullet screen semantic layer, a content value evaluation system is established on a protocol irrelevant layer; a dynamic path distribution mechanism deeply fuses network state perception and frame level importance decision, so that video quality degradation caused by uplink bandwidth competition is effectively relieved; according to the adaptive retransmission strategy, differential recovery is implemented based on a frame dependency relationship, the redundant transmission overhead is reduced while the visual continuity is guaranteed, and the network learning module continuously adapts to a complex network environment through online optimization, so that the self-evolution capability of the transmission strategy is formed.
Owner:BEIJING ZHONGSHENG JIAYUAN EDUCATION TECHNOLOGY CO LTD
Camera patrol video quality diagnosis and optimization method and system and storage medium
PendingCN122179606AClosed circuit television systemsSelective content distributionVideo monitoringEngineering
The application provides a camera patrol video quality diagnosis and optimization method and system and a storage medium. The method comprises the following steps: acquiring original video stream collected by a camera, device metadata associated with the camera, and network performance data, analyzing the original video stream to extract video content quality features; constructing a heterogeneous node set based on the video content quality features, the device metadata, and the network performance data, and constructing a dynamic multi-modal spatio-temporal feature graph with edges representing the bearing or spatio-temporal correlation between nodes as a heterogeneous edge set; inputting the dynamic multi-modal spatio-temporal feature graph into a spatio-temporal graph neural network to capture the propagation path of faults in the heterogeneous node set and output the abnormal probability of each node; taking the abnormal probability and the propagation path as a query condition to match and cooperatively reason in a pre-constructed knowledge graph to determine the root cause and the corresponding evidence chain causing the video quality to decrease; and matching an optimization strategy based on the root cause. The application improves the reliability and operation and maintenance efficiency of video monitoring.
Owner:HANGZHOU HENGSHENG DIGITAL EQUIP TECH CO LTD