860 results about "Bit rate" patented technology

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 provides a subway train traction energy efficiency optimization data transmission control method and system. The method comprises the following steps: acquiring numerical values of vibration parameters when a traction motor of a subway train runs, and segmenting the numerical values of the vibration parameters according to preset time granularity; calculating a comprehensive weight index of each time sequence unit based on the vibration amplitude, the frequency distribution and the phase angle parameter, and generating a dynamic code rate hierarchical allocation strategy in combination with the real-time state of the network transmission bandwidth and a control instruction reservation mechanism; and establishing a multi-dimensional parameter association model based on the numerical value of the vibration parameter, a dynamic code rate hierarchical allocation strategy, the real-time power state of each power electronic device, and the torque output instruction and energy recovery threshold feedback parameter, and dynamically adjusting a data transmission rule through the multi-dimensional parameter association model. According to the technical scheme provided by the invention, the accuracy of subway train traction energy efficiency optimization data transmission control is improved.

The invention belongs to the field of image / video compression, and discloses an intelligent image compression encoder based on a conditional reversible neural network, which comprises an image enhancement module, a reversible multi-frequency fusion network RMFFN and an entropy model, and is characterized in that the image enhancement module comprises a multi-expansion channel refiner module MDCR and an expansion residual attention module RDAM; the image enhancement module optimizes input features and constructs a conditional reversible neural network by using a flow model, namely, multi-stage nonlinear mapping is realized by stacking four reversible multi-frequency fusion networks; the super-prior codec of the entropy model extracts hidden variable features by stacking multi-scale residual attention blocks, and introduces a discrete Gaussian mixture likelihood model in an entropy coding stage. According to the method, high-fidelity reconstruction is still kept at a low bit rate, and the technical problems of bit rate-distortion balance, high-frequency detail retention and calculation efficiency of a traditional method are solved.

A communication method is described that receives, by a policy control network element, a quality of service (QoS) request message from an application function network element. The QoS request message comprises a QoS requirement of a service of the application function network element. The policy control network element based on the QoS requirement, determines M policy and charging control (PCC) rules corresponding to the service, wherein N of the M PCC rules comprise first indication information, the first indication information indicates data flows of the service corresponding to the PCC rules comprising the first indication information to share a bit rate of the service. The N PCC rules are mapped to at least two QoS flows used to carry the data flows of the service, M and N are integers greater than 1, and N is less than or equal to M. The policy control network element sends the M PCC rules to a session management network element.

The invention relates to the field of network communication, and particularly discloses a network self-adaptive video conference transmission optimization method and system, and the method comprises the steps: systematically analyzing a historical data sequence of a network state, and extracting a deep trend and mode of a network behavior from the historical data sequence; meanwhile, different requirements of the type of the current conference video frame on transmission parameters (especially code rates) are fully considered, and the key information is fused into a decision-making process. Through a specially designed fusion model, the historical evolution trend of the network state and the specific requirement of the current video content can be intelligently subjected to interactive perception and cooperative processing, so that a video target code rate which can adapt to future network fluctuation and can meet the current picture quality requirement is generated. Based on the dynamically optimized target code rate, the system further determines an appropriate target resolution and an appropriate target frame rate, and the video is coded and transmitted.

The embodiment of the invention provides a voice coding method and decoding method based on time sequence modeling and a related device. The voice coding method comprises the following steps: acquiring target voice; extracting voice features corresponding to the voice waveform of the target voice through an input cavity convolution extraction module; performing down-sampling processing on the voice features through a down-sampling module to obtain a down-sampling sequence; performing long time sequence modeling on the down-sampling sequence through a long and short time memory neural network added with exponential activation and matrix operation to obtain a coding sequence; and converting the feature dimension of the coding sequence into 128 dimensions through the first convolutional layer to obtain a target code stream. According to the embodiment of the invention, the feature extraction module, the down-sampling module, the long and short term memory neural network and the output cavity convolution layer code the target voice, so that the compression of the voice with the extremely low bit rate can be realized, and the reconstruction of the voice with the extremely low bit rate and high quality under 150bps is realized.

The invention discloses a code rate adaptive image compression method and system, and the method comprises the steps: obtaining an input image, and calculating the local information entropy of the input image to generate a spatial adaptive mask; obtaining target code rate and actual code rate information to generate a code rate control signal; and dynamically selecting a calculation path by using a mask through a dynamic reversible neural network, and executing reversible quantization transformation according to the control signal to obtain a compressed bit stream and actual code rate information for closed-loop feedback. According to the method, a symmetric reversible framework with shared parameters is constructed, so that the model storage requirement is reduced; the calculation depth of the network is dynamically adjusted through entropy sensing gating, and the overall calculation amount is reduced; and a composite control and PID optimization mechanism is adopted, so that continuous and smooth code rate control is realized. The deployment and application efficiency of the compression system in a resource limited scene can be effectively improved.

The invention provides a video coding method and device, electronic equipment and a storage medium, relates to the technical field of image processing, in particular to the field of video coding and the like, and can be applied to application scenes such as video live broadcast and the like. The specific implementation scheme is as follows: acquiring a reference frame which is adjacent to a current frame and has established initial ROI hierarchical division; multiplexing a motion vector generated by the reference frame in a motion compensation time domain filtering process, and determining an ROI position predicted value of the current frame; extracting feature points of the five sense organs of the current frame, and correcting an ROI position predicted value based on a feature point spatial topological relation in the initial ROI; respectively configuring differential quantization parameters for the corrected main face region, the corrected secondary face region and the corrected background region; dynamically allocating a three-layer area code rate according to a real-time network bandwidth; and outputting the coded frame of the current frame and the associated ROI level metadata. According to the scheme, the coding efficiency and quality can be improved.

The invention relates to the technical field of streaming media, in particular to an energy-saving video adaptive bit rate optimization method based on deep reinforcement learning, which introduces a video quality evaluation method of video multi-method fusion evaluation in the optimization process, effectively evaluates the perception quality of a video at different bit rates, and improves the video quality. It is ensured that the user obtains the most real picture experience in the watching process; meanwhile, an energy consumption perception model is provided by combining a neural network of an Actor-Critic architecture, and the energy consumption condition of equipment in the video playing process is estimated based on the energy consumption of video data downloading and video rendering; besides, by improving an entropy updating strategy of a near-end strategy optimization algorithm, multi-dimensional information such as network conditions and user preferences is combined more effectively, the bit rate decision of the video stream is optimized, and the video quality and the energy consumption are balanced. According to the invention, on the premise that the user experience quality is ensured, the equipment energy consumption is obviously reduced, so that the dual optimization of the video stream transmission quality and the energy consumption is realized.

The invention discloses an intelligent set top box video processing system based on multimode decoding, which relates to the field of terminal video processing, and comprises the following steps: an original data stream processing module outputs a scene complexity grading label through a spectral clustering algorithm; the video metadata analysis module is used for analyzing metadata of an original video stream in real time and identifying a content type identifier; the edge-cloud cooperative decoding module allocates the high-complexity video frames to edge nodes for decoding, allocates the low-complexity video frames to a local terminal for decoding, and outputs a decoded video frame sequence; the video restoration module detects and restores picture distortion caused by transmission frame loss or signal interference; the dynamic code rate control module dynamically distributes the code rate weight of each block-level area according to the scene complexity grading labels; and the energy efficiency self-optimization module dynamically controls the states of the heating sheet and the idle decoding channel to adjust the core voltage and the decoding frame rate of the CPU. The method has the advantages of low power consumption, strong adaptability to weak network smoothness through multi-scene high-definition cloud edge collaboration.

A method includes recording a first bitrate of a data transfer session between a user endpoint device and a network element of a terrestrial mobile network, wherein the user endpoint device is locked into a radio frequency band of the terrestrial mobile network, recording a second bitrate of the data transfer session, during a test interval in which a satellite of a non-terrestrial network that shares the radio frequency band with the terrestrial mobile network is executing a function that generates a data transmission to generate full-bandwidth noise signals, calculating a difference between the first bitrate that is recorded and the second bitrate that is recorded, and initiating, in response to the difference exceeding a threshold, an action to modify a parameter of at least one of the terrestrial mobile network or the non-terrestrial network to reduce an effect of channel interference resulting from the sharing of the radio frequency band.

The invention provides a distortion and perceptual code rate self-adaptive variable code rate depth image compression method, which is used for constructing an encoder model, and comprises the following steps of: dividing an image to be encoded into image blocks with different granularities, extracting hierarchical features, and filtering by using an image mask to obtain non-repetitively represented hierarchical features; vector quantization is carried out on the hierarchical features based on the hierarchical vector quantization codebook, and discrete index representation is generated and coded into a code stream file; constructing a decoder model, namely decoding a code stream file into discrete index representation, recovering layered features through a layered vector quantization codebook, fusing and decoding by using a mixed condition decoder, and generating a reconstructed image; carrying out joint training on the encoder model, the decoder model and the layered vector quantization codebook; and encoding an input image into a code stream file through the trained encoder model, and decoding the code stream file into a reconstructed image through the trained decoder model. According to the invention, fine bit rate control and adaptive switching between perception and distortion optimization can be realized.

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.

In some embodiments, a method determines whether to use first logic or second logic to select a profile from a list of profiles to download a segment of content. When using the second logic: selecting historical information from one or more previous playback sessions; determining a bandwidth using the historical information; and selecting the profile using a bitrate that is determined based on the bandwidth. When using the first logic, selecting the profile without using the historical information.

Various embodiments provide methods, apparatuses, and computer program products. An example apparatus includes: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform: using a codec for coding an input to a first bitrate and / or a first reconstruction quality; using the codec for coding the input to a second bitrate and / or a second reconstruction quality; wherein the first bitrate is different from the second bitrate; and / or wherein the first reconstruction quality is different from the second reconstruction quality.

Systems and methods are disclosed for generating an adaptive bitrate ladder for a content item based on the actual quality of the content item. A user uploaded content item is determined to have different quality scores in different time portions of the content item, where the quality score is based on an analysis of visual characteristics of frames of the content item. In response, an adaptive bitrate ladder (ABR) is generated for each time portion which contains a set of bitrates based on the quality score.

The invention discloses a point cloud compression method based on multi-dimensional feature fusion, electronic equipment and a medium, and aims to effectively reduce the compression bit rate while maintaining the precision of a space structure. According to the method, space, channel and topology redundant information is fused under a unified framework for the first time, and the method is suitable for efficient point cloud compression of various three-dimensional scenes such as automatic driving and virtual reality. Meanwhile, a local graph convolution Mama module is introduced, and the limitation that a point cloud topological structure is difficult to capture in a traditional method is effectively solved. Then, the octree nodes are divided into two dimensions of space and channel through a space-channel coupling grouping module, so that gradual feature fusion is realized, and the context information prediction precision is improved; experimental results show that the compression efficiency is remarkably improved on a plurality of radar and voxel human body model data sets.

A method of encoding data includes determining, by an encoder, a first data instance by corrupting the data with Gaussian noise. The method also includes determining, by the encoder, information representative of one or more conditional distributions. The method additionally includes determining, by the encoder, an index of a corrupted data instance of the sequence of progressively less corrupted data instances. The index corresponds with a conditional distribution of the one or more conditional distributions which causes the corrupted data instance to have a desired bit-rate. The method further includes transmitting, from the encoder to a decoder, the first data instance and the information representative of the one or more conditional distributions to enable the decoder to recover the corrupted data instance having the desired bit-rate and use the corrupted data instance to generate output data representative of the data.

The invention provides a live broadcast code rate adaptive switching method and device, a live broadcast server and a readable storage medium. The method comprises the following steps: collecting multi-dimensional context state information at a current moment in a live broadcast playing process; wherein the multi-dimensional context state information at least comprises network state parameters, equipment performance parameters, video content characteristics and user behavior characteristics; constructing a multi-dimensional feature vector by using the multi-dimensional context state information; performing importance evaluation on each feature dimension in the multi-dimensional feature vector by a code rate prediction model, and predicting the optimal code rate at the next moment; and if the optimal code rate is different from the current code rate, switching the current code rate to the optimal code rate at the next moment, otherwise, not processing. The predicted code rate can cope with sudden network changes, and then the lagging rate and the number of manual switching times of a user are reduced.

A method of encoding an input video as a hybrid video stream, the method comprising: receiving the input video at a first resolution; obtaining an indication of a desired quality level for the encoding, the desired quality level setting one or more bit rates for the hybrid video stream, said hybrid stream comprising a base encoded stream at a second resolution and a plurality of enhancement streams at each of the first and second resolutions, the first resolution being higher than the second resolution; encoding each of the plurality of enhancement streams by: generating a set of residuals based on a difference between the input video and a reconstructed video at the respective resolution of the enhancement stream; determining quantisation parameters for the set of residuals for based on the desired quality level; quantising the set of residuals based on the quantisation parameters; and creating an encoded stream from the set of quantised residuals.

A method includes: receiving a video file from a first publisher; partially decoding the video file based on visual characteristics in the video file to generate a proxy video representation of the video file. The method further includes, for a first resolution: accessing a first model associated with the first resolution, the first model configured to derive target bitrates based on resolutions and target viewing qualities; passing the proxy video representation and the source resolution to the first model; and receiving a first target bitrate for the first resolution returned by the first model. The method further includes: defining a first rendition, for the video file, characterized by the first resolution and the first target bitrate; generating an encoding ladder identifying the first rendition; and publishing the encoding ladder for access by a video player for streaming playback segments of the video file.

Embodiments of the present disclosure relate to report triggering. The terminal device determines that a report is to be triggered when uplink data arrives in an empty buffer in the terminal device for at least one logic channel. The terminal device triggers the report after receiving an uplink grant from a network device. In this way. an efficient mechanism to trigger a report for every data burst may be defined. Such report triggering mechanism facilitates the network device to take the right scheduling decisions even for services with high variability of the bit rate.

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.

Video data transmission with prioritized frame sequences is disclosed for faster processing and play of a segment of a content item. High and low priority video frame transmission sequences are determined. Depending on an indication of the time remaining until play of the video segment, when sufficient time remains for reception of only the high priority frames, for example, I-frames and perhaps some P-frames, then only those are transmitted. These may be played at a lower frame rate before continuing with a subsequent video segment. In response to determining that, before start of play of the segment, sufficient time remains for reception of additional frames, for example, some B-frames, the lower priority frames may be transmitted. In this case, the segment may be played at a higher frame rate. Throughput may be determined according to an adaptive bitrate (ABR) implementation.

A data transmission method and apparatus are disclosed. The data transmission method includes: receiving first configuration information, and configuring a priority, a first prioritized bit rate (PBR), and a first bucket size duration (BSD) of each logical channel in a plurality of logical channels; receiving association indication information and first indication information, where the association indication information indicates at least two first logical channels; determining, based on at least one of the first PBR, the first BSD, or the first indication information, a quantity of tokens in at least one first token bucket corresponding to the at least two first logical channels; and determining, based on the quantity of tokens and a priority of each of the at least two first logical channels, transmission resources corresponding to the at least two first logical channels.

The present disclosure relates to a 5G or 6G communication system for supporting higher data transmission rates. In addition, the present disclosure relates to a method performed by a terminal in a wireless communication system and a device for performing same, the method comprising the steps of: transmitting, to a base station, terminal performance information including at least one of first information indicating the performance for a query of a recommended bit rate (RBR) or second information indicating performance for application of the recommended bit rate; receiving, from the base station, a radio resource control (RRC) message including configuration information related to the recommended bit rate; and receiving, from the base station, a message including information about the recommended bit rate for a quality of service (QoS) flow on the basis of the configuration information.

A point cloud encoding and decoding method and apparatus, and pertains to the field of point cloud processing technologies. The point cloud encoding method in embodiments of this application includes: An encoder determines, based on attribute information of target point cloud, a target attribute information distribution characteristic value corresponding to a target bit rate point, where the target bit rate point is a bit rate point corresponding to an attribute quantization step of the attribute information; the encoder determines a target run-length encoding manner based on the target attribute information distribution characteristic value; and the encoder performs encoding processing on the attribute information based on the target run-length encoding manner.

The invention discloses an efficient video compression method based on adaptive masks, which comprises the following steps of: firstly, introducing an adaptive channel pruning technology, dynamically generating a channel importance mask by fusing multivariate space-time prior, and autonomously identifying and removing channel information with low contribution in a reconstructed image; then, the initial coding content is optimized based on a multivariable spatio-temporal information entropy model, and important information is further screened through adaptive mask in combination with optical flow information and spatio-temporal priori of a current frame and a previous frame; a Swin Transform module is introduced to enhance the prediction capability of the context information; and finally, expanding a hyper-parameter range by adopting a unified training strategy, and realizing smooth code rate adjustment and wider adaptability. The channel-level dynamic optimization is realized through the adaptive mask, the video reconstruction quality is ensured while the compression efficiency is remarkably improved, and the method can be widely applied to video conferences, streaming media transmission and other scenes with high requirements on the compression efficiency and quality.

The invention discloses an ultra-high-definition video adaptive code rate control method and system based on deep learning, relates to the technical field of video coding transmission, and solves the problem of data congestion or frame loss easily caused by network space fluctuation in the traditional coding behavior. According to the method, the current total cache amount and the to-be-processed video frame flow of the network nodes are comprehensively considered, the characteristic flow is accurately calculated, the network interval which the processing time period needs to reach is further determined, the data volume which can be processed in the processing time period is determined based on the network interval, and the data volume can be processed by analyzing the past data characteristics of the video stream path nodes and other nodes. According to the technical scheme, the interaction flow of the multiple path nodes is accurately controlled, network resources can be reasonably distributed, data congestion caused by too large flow of the network nodes is prevented, it can be ensured that the video code rate reaches the optimal state in the adjustment and verification process, and the video transmission efficiency and quality are improved.