76 results about "Adaptive encoding" patented technology

The invention discloses an HPLCamp (High Performance Liquid Chromatography) based on deep learning. The invention discloses an HRF dual-mode communication adaptive coding modulation and anti-noise method. The method comprises the following steps: acquiring an optical radio frequency signal amplitude-phase change rate and synchronously sampling and normalizing; calculating a node amplitude-phase residual error to generate a nonlinear mapping coefficient; monitoring coherent change to solve a drift trend, adjusting a modulation coding optimization scheme, compensating distortion and outputting an anti-noise result. According to the method, the instantaneous amplitude and phase of the optical radio frequency dual-mode signal are extracted, a multi-dimensional amplitude-phase characteristic matrix is formed in combination with time domain synchronization and a normalization template, differential residual modeling and nonlinear mapping coefficient calculation are carried out between impedance nodes, and dynamic compensation of amplitude-phase mismatch and envelope offset is achieved. A drift trend quantity is generated based on coherent offset parameter differentiation, feedback is provided for modulation format and coding strategy optimization, amplitude equalization and phase correction are completed, the signal synchronization degree and amplitude-phase consistency are improved, and the steady-state response and anti-disturbance performance of a transmission link are enhanced.

The invention provides an array image demosaicing method based on dynamic convolution and adaptive coding, which relates to the technical field of image processing, and comprises the following steps: acquiring single-channel original image data and a corresponding color filtering array arrangement type identifier; converting the arrangement type identifier into a multi-dimensional physical feature vector, and inputting the multi-dimensional physical feature vector into a feature processor of a neural network model to generate a weighting coefficient vector; carrying out weighted combination on the plurality of special arrangement transformation matrixes through a weighting coefficient vector to obtain a transformation component, adding the transformation component and a basic convolution kernel parameter to obtain a dynamic convolution kernel parameter, and carrying out directional modulation on a specific spatial position of the dynamic convolution kernel parameter based on a direction weight component in a multi-dimensional physical feature vector; and performing convolution operation on the original image data by using the dynamic convolution kernel parameters, extracting multi-scale features, reconstructing image features, and outputting multi-channel color image data, so that the method can be adaptive to different color filter array types, and the demosaicing precision and generalization capability are improved.

The invention discloses an AI-based motion subject tracking and streaming media optimization live broadcast system, and particularly relates to the technical field of motion subject tracking and streaming media optimization, AI-driven motion subject detection and tracking and streaming media coding adaptive control are closely fused, and code rate fluctuation of a coding end and bandwidth change of a network end are sensed in real time, so that the accuracy of the motion subject tracking and streaming media optimization live broadcast system is improved. A continuous and explainable live broadcast jitter risk analysis index is constructed, potential image quality jitter and delay risks are identified in advance through fusion of causal rule scoring and time sequence prediction, and the live broadcast jitter risk analysis index is directly mapped into an adaptive coding and transmission adjustment instruction. Priority guarantee, code rate distribution smoothing and delay control optimization of a key area are realized, the definition and playing smoothness of a live broadcast picture are remarkably improved, and sudden jitter and jamming phenomena are reduced.

The invention provides an on-site video return coding method and system, and the method comprises the steps: collecting a video stream of an on-site scene, judging whether a current video frame in the video stream responds to a scene switching video frame or not, and marking the current video frame as a key frame when the current video frame responds to the scene switching video frame; after the current video frame is identified as a key frame, visual saliency analysis is performed on the key frame, and an entropy weight matrix representing regional information importance distribution in the key frame is constructed according to a visual saliency analysis result and texture information entropies of different blocks in the key frame; adjusting code rate allocation weights of different blocks in the key frame according to the entropy weight matrix and a code rate regulation and control strategy of the key frame to obtain adaptive coding configuration adaptive to content characteristics of the key frame; and performing optimization coding on the key frame through adaptive coding configuration to obtain a target code stream in response to a field video return demand. By adopting the scheme of the invention, the dynamic differential coding of the key video frame in a complex scene can be realized.

The invention relates to the technical field of electronic information data processing, in particular to an electronic information data AI anomaly detection and repair method, which comprises the steps of preprocessing multi-modal data, automatically identifying multi-format data and adaptively encoding and normalizing; fusing a convolutional neural network, a bidirectional long-short-term memory network and a Transform architecture to extract multi-modal features, and judging abnormality through an improved deep isolation forest model; the exceptions are subdivided through a lightweight convolutional neural network in combination with a rule base, and service scene labels are automatically matched; based on the abnormal type, grade, scene and semantic four-dimensional degree, a reinforcement learning model intelligently matches a repair strategy such as filling, correction or manual intervention; a data, model and repair three-level parallel architecture and a sliding window mechanism are adopted to realize real-time stream processing; incremental learning closed-loop optimization is driven through validity and rationality dual verification, and the method is suitable for high-reliability data governance scenes such as finance and communication.

The invention relates to the technical field of intelligent costume design, and discloses an intelligent costume pattern generation system based on enhanced multi-modal generation, which comprises a multi-module input module, a layered attention fusion module, a self-adaptive position coding module and a hierarchical decoding module, the multi-module input module is used for receiving a clothing reference image, a version design demand text and structured data, and performing feature extraction respectively to obtain image features, semantic features and structural features; the layered attention fusion module adopts a three-layer attention mechanism to perform fusion processing on the image features, the text features and the structural features to obtain final fusion features; the self-adaptive coding module carries out self-adaptive coding on the final fusion feature and the model parameter of the clothing template, and outputs a coding result; and the hierarchical decoding module is used for decoding the coding result to generate a complete garment pattern.

The invention relates to a ship mail adaptive coding and dynamic bandwidth allocation method, belongs to mobile voice service, mobile data communication service and other telecommunication services, and particularly relates to the field of digital information transmission. The method comprises the following steps: intelligently predicting the total number of transmitted mails and the total number of transmitted mail data of a target ship in a current time segment by using an AI network data prediction model according to various basic data which are fully and comprehensively selected; and determining an adaptive coding strategy and a dynamic bandwidth allocation strategy for the current time segment of the target ship based on the intelligent prediction result. According to the invention, in order to solve the technical problems that effective and smooth transmission of all mail data of each future time segment of each ship is difficult to consider and the utilization rate of network transmission resources is difficult to improve, A I network data prediction models of different structures customized and designed for different ships are used; and intelligent prediction of the mail transmission state of each ship in the future time segment is completed, so that the technical problem is solved.

The invention relates to the technical field of subway security and protection monitoring and video transmission, in particular to a subway security and protection monitoring video quick calling and multi-channel transmission optimization system, which comprises an analysis module used for extracting a feature set of multi-source heterogeneous metadata in a subway station and carrying out matching calculation on the feature set and an abnormal event template to obtain a matching confidence coefficient; if the matching confidence exceeds a preset threshold, judging that an abnormal event occurs and outputting an event feature identifier; determining an influence range and an association path of the event by combining space and scene information in the metadata according to the event feature identifier; and based on the influence range and the association path, obtaining a target equipment calling list containing the equipment identifier, the space-time weight and the initial priority. Intelligent sensing is realized through multi-source data fusion, dynamic resource allocation is realized through scheduling and channelization, and stable delivery of streaming media is guaranteed through adaptive coding and reliable transmission, so that the emergency response capability of a subway security monitoring system is comprehensively improved.

Implementations of the disclosure provide a video processing apparatus and method for intra prediction in video coding with an adaptive coding order. The method may include receiving, by one or more processors, one or more reference blocks from a video frame of a video for performing intra prediction on a video block of the video frame. The method may include dividing, by the one or more processors, the video block into a plurality of video sub-blocks. The method may include determining, by the one or more processors, the adaptive coding order for the plurality of video sub-blocks. The method may include generating, by the one or more processors, a plurality of reconstructed sub-blocks for the plurality of video sub-blocks based on the adaptive coding order and the one or more reference blocks. The plurality of reconstructed sub-blocks form a reconstructed block for the video block.

The invention provides an adaptive rate wireless image communication method based on channel attention and a mask auto-encoder, which comprises the following steps of: preprocessing an original image data set to obtain a preprocessed image; inputting the preprocessed image into a semantic encoder, sequentially performing down-sampling, feature extraction and channel noise self-adaptive encoding, and iterating for a plurality of rounds to obtain encoding features; performing channel-level adaptive mask processing on the coding features according to the compression ratio to obtain unmasked semantic features to be transmitted; carrying out power normalization on the unmasked semantic features, and sending the unmasked semantic features to a physical channel for transmission to obtain channel output features; zero filling is carried out on the channel output features, the channel output features are input into a semantic decoder after dimension recovery, and an output image is obtained through reconstruction; and calculating a loss function according to the output image and the original image, and performing model parameter optimization through the loss function. According to the invention, bandwidth occupation and transmission delay can be significantly reduced.

A distributed adaptive coding and modulation network includes multiple network hubs that move relative to Earth, communicate among each other using intra-hub links, communicate with endpoint devices via wireless links, and elect one network hub to operate as a leader hub. A remainder of the network hubs operate as follower hubs. The leader hub is operational to negotiate a current modulation and coding scheme with the follower hubs based on a session management protocol, communicate with a first endpoint device, relay data between the endpoint devices using the current modulation and coding scheme, and dynamically renegotiate the current modulation and coding scheme in response to a change in link conditions based on the session management protocol. An edge follower hub is operational to communicate with a second endpoint device, and relay the data between the endpoint devices through the inter-hub links using the current modulation and coding scheme.

This invention discloses an end-to-end spectral reconstruction method, comprising the following steps: S1, reconstructing a hyperspectral image; S2, using the obtained hyperspectral image as input to an optimized neural network, training the neural network parameters according to the end-to-end spectral reconstruction model, and calculating the loss function; S3, backpropagating errors to the coding template to be designed, changing the design parameters of the coding template, and continuing to train the model until a high-quality hyperspectral image is reconstructed. By employing the above technical solution, the design of the optical system is combined with the reconstruction method. Based on the coded aperture snapshot system, an adaptive coding template is added according to the end-to-end spectral reconstruction method, replacing the traditional random coding template, thereby improving the quality of spectral reconstruction.

This invention relates to the field of subway security monitoring and video transmission technology, specifically a subway security monitoring video rapid retrieval and multi-channel transmission optimization system. The system includes: an analysis module for extracting feature sets of multi-source heterogeneous metadata within the subway station and matching them with abnormal event templates to obtain a matching confidence level; if the matching confidence level exceeds a preset threshold, an abnormal event is determined and an event feature identifier is output; based on the event feature identifier and combined with spatial and scene information in the metadata, the scope of influence and associated paths of the event are determined; based on the scope of influence and associated paths, a target device retrieval list containing device identifiers, spatiotemporal weights, and initial priorities is obtained. This invention achieves intelligent perception through multi-source data fusion, dynamic resource allocation through scheduling and channelization, and ensures stable delivery of streaming media through adaptive encoding and reliable transmission, thereby comprehensively improving the emergency response capability of the subway security monitoring system.

The invention discloses a maritime mobile channel adaptive code modulation transmission method and system, and relates to the technical field of wireless communication, and the method comprises the steps: obtaining the dynamic sensing data, spatial position and channel state information historical sequence of a mobile platform; reconstructing an absolute motion velocity vector of the antenna under the reference navigation coordinate system based on the antenna installation position offset characteristic; extracting an effective radial speed scalar in combination with the sight distance direction vector; determining a dynamic channel coherence time boundary, and performing truncation processing on the channel sequence to obtain a target prediction input sequence; generating a reference signal-to-noise ratio predicted value by using the time sequence prediction model; determining a nonlinear back-off compensation amount based on an angular acceleration obtained by rotation angular velocity difference, further correcting a reference predicted value to obtain a target signal-to-noise ratio, and executing physical layer resource mapping; the method can effectively cope with the prediction failure caused by the violent sudden change of the carrier attitude, and improves the robustness and throughput of a maritime communication link.

The invention relates to the field of image communication, in particular to a mobile terminal video stream data adaptation processing method based on an external camera, which comprises the following steps: an acquisition terminal ensures that a source frame rate is stable through the external camera with an IMU (Inertial Measurement Unit) in combination with frame rate monitoring and dynamic caching; the edge node adopts parallel preprocessing, a lightweight model and adaptive coding to compress single frame processing delay; the transmission link realizes fragmentation transmission, priority scheduling and multi-path redundancy based on UDP + RTSP, HTTP / 3 and SRT protocols; the terminal side reduces the decoding load through pre-decoding, fragmentation caching and dynamic resolution adaptation; and the full-link routing collaborative dispatching center monitors the indexes in real time and triggers a grading, degrading and fault switching mechanism. According to the technical scheme, high-stability and low-delay video stream processing with the end-to-end delay smaller than or equal to 150 ms, the frame rate fluctuation within + / -1 fps and the lagging rate smaller than or equal to 0.5% is achieved, and the immersive video experience in weak network and high load scenes is remarkably improved.

The invention discloses an image storage method, image storage equipment and a computer storage medium, and relates to the technical field of image processing and storage. The method comprises the following steps: acquiring original data through an image acquisition sensor, calculating local contrast and edge density, performing fusion to generate a visual saliency map, and performing region segmentation to obtain an average visual saliency value of each region; calculating a statistical variance and a global peak value according to the values of all the areas, and generating an adaptive rate distortion reference value; comparing each region value with a reference value to determine a quantization step size and a visual saliency level, and performing adaptive coding on the region to form a composite data stream; calculating the proportion of the geometric center to the area of each region, packaging the proportion into metadata, and packaging and storing the metadata and the coding stream; and constructing a mapping index from the region identifier to the physical address and a reverse index based on the visual saliency level. The method can improve the utilization rate of the storage space and optimize the image quality of the important region.

The application provides a high-speed light-emitting diode underwater wireless optical communication system and method, and belongs to the technical field of underwater optical communication; a transmitting end comprises successively connected adaptive coding module, 16QAM mapping module, OFDM modulation module, digital-analog conversion module and LED array light source module; a receiving end comprises successively connected photoelectric detection module, signal processing module of integrated post-equalization circuit, analog-digital conversion module, digital filter module, OFDM demodulation module, phase estimation module, 16QAM demapping module and Viterbi decoding module; the application provides a high-speed LED underwater wireless optical communication system and method based on 16-order quadrature amplitude modulation-quadrature frequency division multiplexing and hardware equalization, adopts hardware equalization to effectively expand the modulation bandwidth of the LED light source, significantly improves the transmission performance of high-frequency signals, and sufficiently utilizes the frequency spectrum resources through high-order modulation, and significantly improves the data transmission rate of the system.

According to the embodiment of the invention, an image coding method and device, equipment, a storage medium and a program product are provided. The method comprises the following steps: determining a first semantic feature representation of a to-be-coded image by utilizing a semantic model; based on the first semantic feature representation, generating weight distribution of the image, the weight distribution including a plurality of weight factors corresponding to a plurality of image blocks in the image, the weight factors indicating importance degrees of the corresponding image blocks; based on the weight distribution, coding parameters corresponding to the plurality of image blocks are determined, and the coding quality corresponding to the coding parameters of the corresponding image blocks is positively correlated to the importance degree of the corresponding image blocks; and encoding, using an encoder, the plurality of image blocks based on the encoding parameters to convert the image into a code stream. Based on the mode, the embodiment of the invention can apply higher coding quality to the image blocks with higher importance degree in the image, and apply lower coding quality to the image blocks with lower importance degree in the image, so that the mode of adaptive coding based on the importance degree not only ensures the coding quality of the core region, but also ensures the coding quality of the core region. And the code rate corresponding to the non-core area is saved.

The invention provides a downlink information transmission method, equipment, a device and a storage medium, and the method comprises the steps: determining the current first spectrum efficiency and the second spectrum efficiency at the next weight updating moment under the condition that the current resource scheduling moment is reached; wherein the next weight updating moment is the moment of updating the non-codebook forming weight next time; determining efficiency adjustment information based on the first spectral efficiency and the second spectral efficiency; determining a transmission spectrum efficiency based on the efficiency adjustment information and a current broadband spectrum efficiency determined by an adaptive coding modulation (AMC) module; and determining resource scheduling information based on the transmission spectrum efficiency, and performing downlink information transmission based on the resource scheduling information. According to the embodiment of the invention, the current broadband spectrum efficiency determined by the AMC module is adjusted upwards by using the efficiency adjustment information to obtain the transmission spectrum efficiency, so that the transmission spectrum efficiency is relatively high, and the overall transmission efficiency of downlink information is improved.

The present application relates to a kind of metal heating film small tin bead detection method and device, the method includes the metal heating film image input to improved YOLO11 network;Different levels of feature extraction are carried out to metal heating film image by backbone network, and multiple scale features are obtained;Multiple scale features are fused to obtain small target multi-scale fusion feature map by multiple scale selective boundary aggregation module to small target multi-scale fusion feature map, and small target defect feature map is obtained by adaptive coding module to small target multi-scale fusion feature map, to more accurately identify the outline and position of micro defect;Multiple scale features and small target defect feature map are fused to obtain other scale defect feature map;Small target defect feature map and other scale defect feature map are decoded and output by detection head, and small tin bead defect recognition result is obtained;To more accurately judge small target defect and its surrounding area.

A method and device for adaptive neural image compression, and a computer device, the method comprising: generating statistical features based on an input image and hyperparameters; generating first shared features and estimated adaptive coding parameters; encoding the input image based on the generated first shared features and the generated estimated adaptive coding parameters to obtain a signal coded image; generating second shared features and estimated adaptive hyper-coding parameters; generating hyper-features based on the signal coded image, the generated second shared features and the generated estimated adaptive hyper-coding parameters; and compressing the obtained signal coded image, the generated statistical features and the generated hyper-features.

The application discloses a kind of based on deep learning's super large scale low-orbit satellite communication adaptive coding modulation method and system, and proposes higher reliability and stability solution for super large scale low-orbit satellite earth communication system.The application first constructs low-orbit satellite earth communication simulation system and satellite-earth communication channel model;Secondly, the mobile model of single low-orbit satellite is constructed, and the distance and elevation angle change data in the process of satellite orbiting is obtained according to the simulation result;Finally, the channel state is predicted in the process of satellite movement using deep learning algorithm, and the adaptive coding modulation method is applied to low-orbit satellite communication scene.Compared with the traditional adaptive coding modulation method, the application considers the rapid change of dynamic satellite network topology, which is more suitable for real scene, and can maximize the throughput of low-orbit satellite earth communication system and improve communication efficiency based on the use of deep learning algorithm.

The invention provides a virtual desktop video acceleration method based on an SPICE protocol and a related device, and relates to the technical field of computer networks and virtualization. Through real-time identification of change areas, judgment of area types through frequency analysis, adaptive coding and matched decoding, the problem of poor video transmission performance in the prior art is effectively solved, video and non-video areas can be accurately identified, an adaptive coding strategy is implemented, redundant data transmission is effectively reduced, the decoding efficiency is improved, and the video transmission efficiency is improved. Therefore, the fluency of the virtual desktop video and the user experience are improved.

The application discloses an AI-based sports subject tracking and streaming optimization live broadcast system, and particularly relates to the technical field of sports subject tracking and streaming optimization, wherein AI-driven sports subject detection and tracking and streaming encoding adaptive control are closely integrated, real-time sensing of encoding end code rate fluctuation and network end bandwidth change is realized, a continuous and interpretable live broadcast jitter risk analysis index is constructed, potential picture jitter and delay risk are identified in advance through the fusion of causal rule scoring and time sequence prediction, and the live broadcast jitter risk analysis index is directly mapped into an adaptive encoding and transmission adjustment instruction, so that key area priority guarantee, code rate distribution smoothing and delay control optimization are realized, the live broadcast picture definition and playing fluency are significantly improved, and sudden jitter and lagging phenomena are reduced.

The invention provides a monitoring video compression method and system based on deep learning, and relates to the technical field of video compression transmission. The method comprises the following steps: firstly, acquiring an initial video stream and an environment sensing signal in a target monitoring scene and combining the initial video stream and the environment sensing signal to generate mixed input data, secondly, processing the mixed input data to output a scene state code, and then, selecting a target compression strategy from a compression strategy set, the method comprises the following steps: firstly, encoding a first video stream according to a first compression sub-strategy, then encoding contents meeting a first preset condition and a second preset condition in the initial video stream according to the first compression sub-strategy to generate a first encoding result and a second encoding result, and finally, integrating the first encoding result and the second encoding result according to a control parameter in scene state encoding to generate a target compressed code stream. According to the technical scheme provided by the invention, deep understanding and adaptive coding of a fixed monitoring scene are realized, a coding decision is more accurate and robust, and high compression performance can still be maintained in a complex real monitoring environment.

The invention discloses a multi-modal financial fraud clue generation method based on modal adaptive comparative learning and credible generation, and the method comprises the steps: firstly, dynamically distributing the contribution degrees of behaviors and text modals through a modal adaptive weight mechanism, and solving the problem of heterogeneous modal feature fusion imbalance; secondly, designing an improved comparative learning framework, introducing a cross-modal alignment loss and difficult negative sample mining strategy, and strengthening the discrimination of fraud features; and finally, constructing a credible generation constraint system, and combining prefix tuning and clue credibility scoring to ensure the accuracy and interpretability of a generation result. The method can be widely adapted to intelligent risk control and anti-fraud investigation scenes of various financial institutions such as banks, payment platforms, securities, insurance and the like through five core steps of multi-modal data preprocessing, modal adaptive coding, improved comparative learning pre-training, trusted clue generation and real-time updating and feedback; and the efficiency and the intelligent level of anti-fraud work are obviously improved.

The application relates to the technical field of satellite communication, and discloses a multi-type terminal adaptive coding method, device, equipment, storage medium and product, which comprises the following steps: acquiring terminal information reported by a terminal device; determining terminal classification information of the terminal device according to the terminal information; determining a smoothing coefficient based on the terminal classification information, and performing smoothing processing on a signal-to-noise ratio of a current channel according to the smoothing coefficient to obtain a target signal-to-noise ratio value; and determining a modulation and coding scheme corresponding to the terminal device according to the target signal-to-noise ratio value and a block error rate of the terminal device. The application classifies the types of terminal devices by using the information reported by the terminal devices, sets different smoothing coefficients for each type of terminal according to the channel characteristics of different types of terminals, and determines the corresponding modulation and coding scheme, so that users with stable channels have higher spectral utilization, users with relatively severe channel changes have better stability, and the overall spectral efficiency and transmission reliability are synergistically improved.

The invention belongs to the technical field of wide area network data transmission, and provides a wide area network data transmission enhancement method and system.The wide area network data transmission enhancement method comprises the steps that at a sending end, a coding controller conducts coding processing on an identified RDMA message, and then an original data packet and a repair packet are together delivered to a lower-layer UDP protocol stack to be packaged and transmitted; when ACK / NACK is received, the collection module extracts packet loss statistical information carried by the message and delivers the packet loss statistical information to the coding controller; at a receiving end, a transmitted data packet is redirected to a decoding buffer area, and after decoding is completed through a decoding controller, a message is transmitted to an upper-layer RDMA protocol stack; and meanwhile, the receiving end redirects the ACK / NACK information to a collection module, and the module adds packet loss statistical information and then delivers the ACK / NACK information to a lower-layer protocol stack for transmission. According to the invention, by introducing a feedback collection mechanism and a self-adaptive coding algorithm in which the receiving end and the transmitting end cooperate, the dynamic perception of the network packet loss state is realized, so that the self-adaptive adjustment of the coding level is realized, and the transmission capability in a lossy WAN network environment is improved.

This application provides a dual-mode drilling azimuth resistivity measurement method, apparatus, and related equipment, relating to the field of charging management technology. The technical solution provided in this application accurately locates key geological interfaces and abnormal areas by identifying gradient abrupt events in the resistivity curve through gradient feature identification. Data transmission modes are determined by collecting drilling condition parameters corresponding to gradient abrupt events, ensuring that the transmission strategy matches the actual drilling conditions. Based on drilling condition parameters, gradient abrupt events, and the resistivity curve, a transmission priority score for each data point is calculated, enabling a quantitative assessment of data importance and timeliness. The transmission priority score is compared with a preset percentage threshold to distinguish between first and second data, ensuring that important data is transmitted first while less important data is stored later. The first data is adaptively encoded before transmission, and the second data is stored hierarchically, balancing real-time performance and integrity requirements within limited transmission bandwidth.