1279 results about "Code rate" patented technology

The present disclosure provides a variable-bit-rate image compression method and system, an apparatus, a terminal, and a storage medium. The variable-bit-rate image compression method includes: obtaining an initial feature map from a to-be-encoded image; quantizing the initial feature map by a dead-zone quantizer; performing entropy encoding on the quantized feature map and hyper-prior information to obtain a compressed bit-stream; performing entropy decoding on the compressed bit-stream, and recovering quantized hyper-prior information and the quantized feature map; performing inverse quantization on the quantized feature map to obtain a reconstructed feature map; obtaining a reconstructed image from the reconstructed feature map; and adjusting quantization and inverse quantization parameters according to a target bit-rate or target distortion. The present disclosure provides a precise bit-rate control solution, makes the bit-rate of the compressed bit-stream better adapt to the dynamic change of a network bandwidth, and has an extremely high actual application value.

The invention discloses an extreme compressed video coding method based on an intelligent reference frame, comprising the following steps: S1, acquiring an original video stream, dividing the original video stream into frame groups according to a time sequence, each group comprising a current frame and a candidate reference frame; s2, carrying out region positioning on the candidate reference frame, extracting motion, edge and background regions, and generating a mapping graph; s3, calculating a quality score based on the mapping graph according to a motion vector, gradient change and a region overlapping rate; s4, selecting three frames with highest scores to form a reference set, and establishing an index structure; s5, predicting the current frame by using the reference set to generate a predicted frame and a residual error; s6, multi-path coding cost is calculated, and a path with the minimum cost is selected; and S7, entropy coding is carried out on the reference index, the motion vector, the residual error and the control parameter, a code stream is output, and calling information is recorded. According to the method, the compression ratio and prediction precision of video coding are improved, the image quality is maintained while the code rate is reduced, and the method is suitable for efficient transmission and storage of high-resolution videos.

The invention discloses a low signal-to-noise ratio direct spread signal detection method based on noise cancellation, and belongs to the field of communication spectrum sensing. The self-adaptive noise cancellation method based on the minimum mean square error is adopted, non-stationary noise interference can be tracked and eliminated in real time, filtering parameters are automatically optimized in an unknown channel environment, and a signal detection system can adapt to different background noise conditions. And stable signal detection is realized in a low signal-to-noise ratio environment by utilizing a cyclic spectrum analysis method and extracting the cyclic stability characteristic of the direct spread signal. The existence of the signal is judged through the characteristic spectrum peak on the non-zero cyclic frequency, and the carrier frequency and the pseudo code rate are further estimated, so that more accurate signal identification and parameter extraction are realized, the influence of noise uncertainty on the detection performance is avoided, and the detection robustness and reliability are improved. Welch smoothing processing and short-time Fourier transform are combined, the variance of spectrum estimation is reduced when the cyclic spectrum is calculated, and the detection robustness is improved.

The invention relates to the technical field of satellite communication signal processing, and discloses a broadband satellite signal blind demodulation reconstruction method and system based on sparse representation. The method comprises the following steps: carrying out frequency domain transformation on broadband satellite mixed signals to extract pilot frequency features to construct a beam state feature matrix, inputting the matrix into an adversarial network to generate a beam adaptive sparse dictionary, constructing a topological relation graph according to a Doppler frequency shift set, and carrying out collaborative sparse decomposition to obtain a sparse coefficient matrix; and extracting a code rate candidate set to execute parallel sparse reconstruction, determining an actual code rate through self-consistency verification to obtain a complete signal, analyzing a switching instruction, extracting time sequence statistical characteristics, predicting target domain characteristics, generating a switched sparse dictionary, and executing demodulation. The sparse decomposition precision, the code rate blind estimation accuracy, the cooperative processing efficiency and the switching continuity of the broadband satellite mixed signals are improved.

Methods, systems, and devices for wireless communications are described. A wireless device may perform a probabilistic shaping procedure using a shaping rate that is selected in accordance with a rule associated with a target spectral efficiency value, a modulation order, or both. Similarly, the wireless device may perform a channel coding procedure whose coding rate is selected in accordance with the rule. The rule may correspond to a relationship between the coding rate and the shaping rate. In some cases, the wireless device may select the shaping rate and the coding rate to be predefined values based on a target spectral efficiency value. In some examples, the wireless device may select the shaping rate and the coding rate based on a threshold coding rate, a quantity of punctured nodes used in the channel coding procedure, a quantity of layers corresponding to a multi-layer transmission, or any combination thereof.

The invention relates to the technical field of video coding and image processing, and discloses a code rate control method and system based on video image segmentation, and the method comprises the steps: carrying out the pixel-level semantic segmentation of a to-be-coded video frame sequence; extracting a foreground region of interest; calculating a corresponding segmentation uncertainty parameter; establishing semantic mutation parameters of the foreground region of interest; generating a semantic perception weight; executing region-level target code rate redistribution and quantization parameter mapping; and executing partition coding control. In the prior art, code rate control mainly depends on motion intensity or pixel complexity, and especially when a foreground target suddenly appears or disappears in a monitoring scene, a technical problem that a key target is blurred or a background code rate is wasted is easily caused. Due to the fact that the uncertainty modeling and semantic mutation sensing mechanism of the semantic segmentation result is introduced, priority coding of the foreground interest area is achieved under the frame-level code rate constraint condition, and the video coding quality and the code rate utilization efficiency are improved.

The invention relates to the technical field of audio encoding and decoding, in particular to a fast encoding and decoding method and system for real-time audio. The method comprises the following steps: acquiring real-time sampling data of an input audio stream, and performing multi-time-point sliding window division and coding preprocessing to generate a coding preprocessing enhanced audio; carrying out adaptive quantization strategy analysis on the coding preprocessing enhanced audio, carrying out multi-level residual quantization modeling, and constructing a real-time increment coding mapping table; performing multi-module decomposition execution based on the real-time incremental coding mapping table, performing multi-thread parallel coding optimization, and constructing a real-time audio parallel coding strategy; and carrying out real-time coding processing according to a real-time audio parallel coding strategy, and carrying out task-by-task code rate distortion optimization to obtain an optimal coding parameter of each coding task. According to the invention, high-fidelity and low-delay audio coding and decoding are realized, and the auditory experience of a user is improved.

The invention discloses a 10kV medium-voltage power distribution network power line carrier communication method and system based on adaptive OFDM (Orthogonal Frequency Division Multiplexing), and the method comprises the steps that a master station sends a detection frame to a slave station, and the slave station carries out the CE (Channel Estimation), and obtains the CSI (Channel State Information); the method comprises the following steps of: dividing a broadband channel into a plurality of parallel orthogonal subcarriers, and dynamically allocating a modulation mode, a modulation order and a forward error correction (FEC) coding rate for each subcarrier of OFDM (Orthogonal Frequency Division Multiplexing) by adopting a water injection algorithm based on channel state information (CSI); adopting two-stage automatic gain control (AGC) to condition a signal received from a power line; and carrying out dynamic frequency hopping between a frequency band with serious interference and an idle frequency band based on a continuous spectrum sensing result. Compared with the prior art, through the multi-dimensional adaptive technology, the communication system can sense the channel state in real time and dynamically adjust the communication strategy, so that a stable communication link is established in a severe power grid environment.

The invention provides an image coding method and system based on a single-step diffusion model, and the method comprises the steps: coding a potential representation to a decoding end through employing an extremely low bit rate based on a stable diffusion model (SD-Turbo) and a depth potential representation compression model, and obtaining a reconstructed image through single-step denoising; a group of auxiliary encoders and decoders are introduced, rich and entropy-perceived pixel-level original image semantic information is extracted at an encoding end, and decoded image structure information is shared for a single-step denoising process at a decoding end; and the whole model is subjected to end-to-end optimization by adopting code rate and pixel level constraint so as to achieve the optimal subjective coding quality. According to the invention, the technical problems of high decoding complexity and poor reconstruction consistency are solved.

The invention provides a GEO communication satellite uplink signal Doppler frequency compensation method and device. The method comprises the following steps: acquiring a satellite orbit determination result corresponding to a GEO communication satellite; determining a Doppler compensation frequency curve according to the satellite orbit measurement result and the local frequency of the frequency conversion of a satellite transponder configured in the GEO communication satellite; and compensating a first uplink signal to be transmitted from the ground station to the GEO communication satellite by using the Doppler compensation frequency curve through the compensation frequency mixer, and transmitting the compensated first uplink signal to the GEO communication satellite. According to the invention, under the condition that the user receiver is non-inductive, the carrier frequency and the spreading code rate of the user receiver are changed in equal proportion, so that the user receiver can adopt a receiving algorithm of the carrier-assisted spreading code rate to improve the sensitivity.

The invention discloses an intelligent household water processing terminal interaction control system based on 2.4 G hotspot networking, and particularly relates to the technical field of household water processing terminal interaction control. The overall system time sequence risk is accurately assessed by generating a time sequence consistency loss index, dynamic sampling adjustment, code rate optimization and control action rectification strategies are triggered based on the index, key data are uploaded preferentially, key control actions are executed preferentially, the problems of data transmission conflicts and time sequence lagging are effectively relieved, and meanwhile, the data transmission efficiency is improved. A node execution result and a control action receipt record are written into a state mirror image, the state mirror image and a time sequence consistency loss index are jointly evaluated to generate a safety degradation condition, and an executable safety strategy is synchronously issued, so that self-adaptive degradation and quick recovery of a system under abnormal conditions are realized, and continuity and stability of a water treatment process are ensured.

The invention provides a code rate control method, and the method comprises the steps: updating the deviation information between an accumulated data volume in a preset time period corresponding to a first image frame and a target data volume according to the data volume of the first image frame currently encoded by an encoder; wherein the accumulated data volume is determined according to the total data volume of the plurality of image frames coded in the preset time period, and the target data volume is determined according to the target code rates of the plurality of image frames; under the condition that it is determined that the first image frame belongs to a waiting frame, if the deviation information is larger than a forced adjustment threshold value, a code rate adjustment instruction is triggered, and the code rate adjustment instruction is used for instructing the encoder to adjust the encoding code rate of the to-be-encoded image frame; wherein the forced adjustment threshold value is greater than a conventional adjustment threshold value, and the conventional adjustment threshold value is used for determining whether to trigger a code rate adjustment instruction or not under the condition that the current image frame does not belong to a waiting frame. According to the mode, dynamic balance of code rate control can be realized through a double-threshold triggering mechanism.

The invention discloses an extremely low bit rate image compression coding and decoding method of a stream matching diffusion model. The coding method comprises the following steps: acquiring an original image, and coding the original image into a compression latent variable and a hierarchical feature; based on the compression latent variable, generating an anchor point set and a mask parameter in a continuous domain; generating a visible index, a stream matching scheduling parameter and a confidence graph according to the compression latent variable, the hierarchical feature and the target bit rate; and combining the visible index, the anchor point set, the mask parameter, the stream matching scheduling parameter and the confidence map to form a code stream. According to the invention, through continuous domain mask and confidence gating reasoning of code rate perception, the method is suitable for image compression with an extremely low bit rate.

The invention provides a control information content indication method of Internet of Things equipment and related equipment, and relates to the technical field of environment Internet of Things communication. The method comprises the following steps: a first device receives control information sent by a second device, the control information comprises transmission block information, code rate information, modulation information, coding information, repeated transmission information, transmission block indication information, time domain resource information, frequency domain resource information, candidate resource information, frequency hopping indication information, timeline information, time granularity information, transmission rate information, CP information, synchronization information, measurement information and paging information of D2R transmission and / or R2D transmission; according to the method and the device, at least one of transmitted resource information, transmitted command information, power information and TA information is selected, so that the first device obtains transmitted resource and transmitted command information, completes a transmission process and executes operation corresponding to the control information, scheduling of the environmental Internet of Things system is realized, the environmental Internet of Things system is simplified, and the reliability of environmental Internet of Things communication is improved.

The invention belongs to the technical field of quantum communication, and particularly relates to a discrete variable quantum key distribution data coordination method and system based on a code rate adaptive multi-system LDPC code. Aiming at the defect of performance bottleneck of an existing discrete variable quantum key distribution system adopting a binary low-density parity check code in a long-distance and high-noise environment, the invention provides a discrete variable quantum key distribution data coordination method. The method comprises the following steps: preparing and transmitting a quantum state; screening data; error rate estimation and eavesdropping detection; data coordination based on symbol-level code rate adaptation and / or bit-level code rate adaptation; and confidentiality enhancement. According to the method disclosed by the invention, the construction and storage pressure of the system on error correction codes with different code rates is obviously reduced, the robustness of the system under a complex channel condition is enhanced, and efficient and unconditionally safe key distribution is ensured; the eavesdropping attack can be effectively resisted, and the communication security is ensured.

The invention relates to a target detection enhanced video code rate control method, and belongs to the technical field of video compression. The method comprises the following steps: preprocessing each frame of image of an input video, dividing a plurality of coding tree units in each frame of image, and calculating gradient features of the image and the coding tree units; the video is coded through different quantization parameters, and the code rate of the coded video and the distortion degree of the video are calculated; fitting a cubic logarithmic model to establish a relationship between the distortion degree and the code rate of the video by combining the gradient characteristics of each frame and the distortion degree and the code rate of the video; marking the ROI region of each image frame of the input video through a target detection network, and dividing the compensation level of the coding tree unit in combination with the ROI region and the gradient feature of the coding tree unit; and in combination with the compensation level of each coding tree unit, through a code rate allocation mechanism, allocating a coding code rate to each coding tree unit in each image frame of the input video. According to the invention, the video compression process can be optimized, and the overall performance of the compressed video is improved.

A zero-delay panoramic video bit rate control method that considers distortion temporal propagation aims to optimize target bit allocation and achieve global rate-distortion optimization in coding. It encompasses coding tree unit (CTU)-level bit rate control and temporal global rate-distortion optimization. CTU-level bit rate control involves optimizing target bit allocation and updating bit rate control parameters. Temporal global rate-distortion optimization utilizes the reconstruction error and motion compensation prediction error information of the previous coded frame to estimate the temporal dependence between CTUs in the current coding frame and those in the previous coded frame to adjust the coding parameters of the current CTU. The coding parameters are further fine-tuned according to the area stretching ratio encountered during the projection of the panoramic video from a 3D spherical surface to a 2D plane, taking into consideration the detrimental impact of interpolated redundant pixels on the coding process.

A system and method for enabling downlink signal transmission in a Multiple-Input Multiple-Output (MU-MIMO) system is provided. The method comprises of creating a scheduling information based on MU-MIMO Scheduling of a plurality of User equipments (UES), multiplexing the plurality of UES paired based on the scheduling decisions across time, frequency and code, inputting transport blocks of each UE pushed on to a Downlink shared channel (DLSCH), performing bit processing of each of the CRC encoded UEs, inputting Code-rate (MCS) for data modulation mapping on a post bit processed data, assigning DM-RS ports to the UE based on allocated MCS and number of antenna ports from a scheduling information structure, adding, a Partial Port Occupancy information (P-Poi) for each UE along with the scheduler information structure required for demodulation at UE and enabling optimal channel estimation at UE by adding new DM-RS port combinations using reserved fields in the DCI messaging.

The invention provides a bandwidth distortion self-adaptive multi-layer scalable feature compressor and a method and system thereof, and relates to the technical field of machine learning. According to the invention, through a code rate distortion joint controller, bit width distribution and fragment size of each layer of a layering number are dynamically decided according to a real-time network state training stage and a precision demand; the input features are mapped to a subspace with more concentrated energy through a layered learnable orthogonal transformation module, and feature channels are clustered and grouped; different bit widths are distributed to the coefficients based on the importance degree through a non-uniform quantization module; dynamically adjusting the fragmentation size and the fragmentation sending rhythm through an RTT adaptive scheduling module according to the round-trip delay and the jitter degree; recording an accumulated reconstruction error through an error tracking compensation module and carrying out residual encoding; and periodically transmitting the anchoring layer through the key frame synchronization module to eliminate accumulated errors. According to the method, the robustness, convergence stability and communication efficiency of distributed training in a complex network environment are remarkably improved.

The invention discloses an event flow assisted link self-adaption method and system oriented to the Internet of Vehicles, and belongs to the field of link self-adaption of the Internet of Vehicles, and the method comprises the steps: obtaining event flow data; inputting the event stream data into the trained depth estimation model to obtain the environment depth under the current time step; calculating the distance between the base station and the user equipment based on the event stream data and the environment depth under the current time step; and based on the distance between the base station and the user equipment, estimating a channel state and calculating a coding rate under the current time step so as to complete link self-adaption. According to the invention, dynamic sensing of the distance between the BS and the UE is realized by using the space-time correlation of the event stream, the time delay defect of a traditional feedback mechanism is overcome, the problem of inaccurate channel acquisition caused by traditional outdated feedback information is solved through visual information, the model calculation complexity is reduced, the coding rate performance is improved, and the spectrum efficiency is further improved.

The invention provides a self-adaptive anti-interference optimization method for a star flash communication network, which comprises the following steps of: sensing an electromagnetic interference signal in a power scene in real time, and extracting an interference feature vector; generating a communication parameter optimization strategy through an intelligent decision engine based on the interference feature vector and an equipment digital twin model; dynamically adjusting at least one of the transmitting power, the frequency band, the modulation mode and the coding rate of the satellite flash communication node according to the communication parameter optimization strategy; and monitoring a communication quality index fed back by the star flash communication node in real time, and forming closed-loop feedback to trigger iterative optimization. The invention further provides a corresponding system. By implementing the method, the reliability and the stability of the satellite flash communication in a complex power scene can be remarkably improved.

The invention relates to the technical field of video compression, in particular to a narrow-bandwidth-based video monitoring data transmission and storage method, which comprises the following steps of: for an input video monitoring data frame, calculating a difference absolute value sum between a current frame and a reference frame; according to the method, the pixel difference of the current frame and the reference frame is calculated, and the average amplitude of the motion vector field is fused to form a comprehensive index of the dynamic degree of the quantized content, so that the image group structure is not fixed or periodic any more, and the dynamic degree of the quantized content can be calculated according to the score of scene activity and the change intensity. When a monitoring picture is static, a super-long image group is established to limit a compression code rate, when the picture is suddenly changed, the super-long image group is quickly switched to a short image group to ensure instant refreshing and definition of key information, meanwhile, non-uniform redistribution is performed on limited total code rate budget, bit resources can be intelligently inclined to frames with violent content change and large information amount, and the real-time refreshing and definition of the key information are ensured. Therefore, the subjective visual quality of the key dynamic moments is improved under the narrow bandwidth.

The invention provides a low-delay video stream code rate adaptation method and system based on off-line element reinforcement learning. The method comprises the following steps: constructing an off-line expert track data set; constructing a code rate adaptation strategy network, and outputting a downloading code rate selection result and a network throughput correction value by taking a video stream transmission state as input; and adopting a meta-implicit Q learning algorithm to perform double-layer alternate optimization of an inner layer and an outer layer on the policy network, the inner layer updating policy parameters of the policy network based on the offline expert trajectory data set, and the outer layer further adjusting the policy network parameters through meta reinforcement learning to improve the adaptability of the policy network to unseen tasks. According to the method, multiple expert algorithm experiences are integrated through offline reinforcement learning, high generalization and adaptive ability can be realized in multiple target time delays and complex network environments without online trial and error exploration, and finally, high-quality and smooth playing of video streams in a low-time-delay live broadcast scene is supported.

The invention relates to the technical field of video coding, and discloses a dynamic code rate control method based on deep learning and terminal equipment, and the method comprises the following steps: carrying out the feature extraction of a video frame through employing a convolutional neural network, recognizing a key region in a video, and distributing a coding weight for the key region according to semantic information, the convolutional neural network performs semantic segmentation on a video frame through a pre-trained semantic segmentation network, the video frame is divided into a plurality of semantic regions, different coding weights are allocated according to the importance of the semantic regions, a higher coding weight is allocated to a key region, and a lower coding weight is allocated to a non-key region. The long-short-term memory network is adopted to model and predict the network state indexes, so that the change trends of network states such as network bandwidth, packet loss rate and delay can be accurately predicted. And the code rate is adjusted in advance based on the prediction result, so that video coding can dynamically adapt to rapid change of a network environment.

The invention relates to the technical field of wireless communication, and provides a low-earth-orbit satellite link state management and optimization method, which comprises the following steps of: acquiring communication windows and signal intensities of different low-earth-orbit satellite links by adopting a link prediction method, and further judging whether the satellite links are available or not; when the satellite link is unavailable, a standby satellite is selected in advance, and the optimal switching opportunity is determined; the terminal selects the optimal frequency band for communication in real time according to the current link quality, the satellite signal strength and the interference condition, and dynamically allocates satellite frequency band bandwidth resources by adopting a dynamic frequency selection method; and adjusting a signal modulation mode and a coding rate according to the signal quality. According to the invention, the terminal can select the standby satellite in advance and complete seamless switching before the current link fails, so that the delay and interruption time of link switching are remarkably reduced. The utilization efficiency of spectrum resources is improved by adopting a dynamic frequency selection and bandwidth resource allocation technology, and the anti-interference capability of a communication link in a complex environment is enhanced.

The invention discloses a WebM protocol low-delay video and audio translation and subtitle optimization method and system, and belongs to the technical field of data processing, and the method comprises the steps: analyzing a WebM audio and video stream; establishing a video track-audio track association list and constructing a dynamic causal map; generating an initial translation text based on the audio frame sequence, the video frame sequence and the dynamic causal atlas, extracting lip movement and action semantic data of video frames through a reverse generation model to generate a completion translation text, and embedding SimpleBlock elements; defining a subtitle core gene, a non-core gene and a position gene according to the code rate data, the complete translation text and a user visual attention thermodynamic diagram, dynamically cutting the non-core gene based on code rate fluctuation, and adjusting the position gene in combination with the thermodynamic diagram to generate adaptive subtitle data; by synchronously playing and collecting feedback data, the edge weight and the subtitle position gene of the dynamic causal atlas are optimized. According to the invention, the robustness of audio and video translation and the self-adaptability of subtitle display are realized.

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 communication, and provides a video dynamic code rate playing method and device, equipment, a medium and a program product, and the method comprises the steps: obtaining the network fluctuation information of a communication network in a playing process of a current video stream; if the network fluctuation information reaches a preset threshold value, determining a target video code rate according to the network fluctuation information, and determining a key frame position according to the playing progress of the current video stream; and playing a target video stream corresponding to the target video code rate at the key frame position. A non-real-time coding and decoding mode is adopted, when the network fluctuation information of the communication network reaches the preset threshold value, the target video code rate is determined according to the network fluctuation information, the key frame position is determined according to the playing progress of the current video stream, and the current video stream is switched to the target video stream corresponding to the target video code rate at the key frame position. Bandwidth resource consumption caused by real-time coding and decoding is reduced, when the network state of the communication network changes, adaptive playing of the code rate can be achieved, and audio and video playing lagging is avoided.

The invention discloses a streaming media transmission optimization method and a streaming media transmission optimization system based on Cubic. The streaming media transmission optimization method comprises the following steps that: a sender calculates a transmission delay difference and a packet loss rate between packet groups according to feedback information of a receiver; and performing least square filtering on the transmission delay difference between the packet groups to obtain a queuing delay gradient, and comparing the queuing delay gradient with an adaptive threshold to obtain a current network state. And inputting the state into a finite-state machine to obtain a code rate adjustment strategy of a delay-based bandwidth estimator, and calculating a sending code rate at the next moment. And meanwhile, judging a code rate adjustment strategy of the bandwidth estimator based on packet loss according to the packet loss rate, and calculating a sending code rate at the next moment. And taking the smaller value of the two as a target sending code rate, and inputting the target sending code rate to an encoder and a data sending module. And continuously optimizing the streaming media transmission by circularly executing the steps. According to the method, the bandwidth utilization rate and the stability of streaming media transmission can be remarkably improved while network congestion is avoided in a deep and shallow buffer area network environment.