7 results about "Volume (compression)" patented technology

This invention discloses an efficient RNA data preprocessing method to address the problems of low processing efficiency and low information density in high-throughput sequencing data. Its core steps include: (1) introducing a parallel processing scheme for high-throughput sequence data, rapidly mapping RNA-seq data to a reference genome to generate a BAM file; (2) extracting base sequences and expression levels and storing them as compact PKL format files; (3) extracting all exon position information by parsing the genome annotation file; (4) combining multi-sample expression level data to screen for highly variable exons and constructing a high-information-density feature list based on the sample set; and (5) accurately extracting target sequences from the preprocessed file based on this list. Compared to traditional methods, this innovative approach achieves triple optimization: full-process parallel processing for accelerated computation, high-compression data storage, and adaptive feature selection. Processing speed is increased by 3-5 times, and data volume is reduced by more than 90%, making it suitable for high-throughput RNA-seq data analysis with large sample sizes.

The application relates to the technical field of CAE preprocessing and cloud cooperation, and discloses a lightweight CAE geometry engine and a cloud real-time cooperation method and system. A cloud server acquires an original CAE geometry model, performs topological simplification and data compression on the original CAE geometry model, and generates a lightweight geometry data file containing multiple resolution levels; the cloud server pushes the received difference data packet to other online cooperation terminals; the other cooperation terminals parse the unique version number carried by the difference data packet through a locally loaded WebAssembly geometry engine module, and perform operation replay updating on the local geometry model according to the differential data contained in the difference data packet. According to the scheme, the original CAE model data volume is reduced by 90%-95%, the WebAssembly engine realizes a 100,000-face model rendering frame rate of 30-60 fps, and the operation response delay is less than or equal to 100 ms, thereby breaking through the performance bottleneck of browser-side geometry processing.

This invention discloses a method, apparatus, and electronic device for effectively adjusting the compression ratio of a reference frame image. The method includes: S1, dividing the reference frame image to be compressed into several n×n blocks; S2, initializing the target bit count of the n×n blocks according to the total data volume of the reference frame image to be compressed and the target compression ratio requirement, and obtaining the target bit count occupied by each pixel; S3, calculating the target bit rate weight parameter λ based on the obtained target bit count occupied by each pixel. real S4, calculate the quantization parameters based on the relationship between the quantization parameters and the target bit rate weight parameters, and perform encoding quantization; S5, complete the encoding process of the current n×n block and obtain the actual number of encoded bits for each pixel of the current n×n block; S6, calculate the actual bit rate weight parameters based on the actual number of encoded bits; S7, update the parameters related to the features of the reference frame image and update the remaining allocable bits, and return to step S2.

The application provides a layered representation compression and progressive transmission method of Gaussian splat volume video. The layered representation compression method comprises the following steps: extracting scene surface geometry, constructing 4D Gaussian initial parameters as the basic representation of dynamic scene; calculating the importance measure of each Gaussian primitive, and dividing the Gaussian into L layers of progressive details; performing inter-frame modeling on the layered Gaussian through rigid transformation and residual compensation; calculating the average displacement of the Gaussian primitive, and dynamically adjusting the grouping length of the inter-frame modeling; injecting uniform noise simulation quantization error, and estimating the entropy of each attribute by using KDE; simultaneously constructing an end-to-end optimization weighted loss of distortion, code rate and time smoothness, and training the inter-frame modeling; and encoding the trained layered Gaussian parameters into 2D graphs and compressing by using H.264. The bit stream supporting multi-level quality selection is generated by the layered representation compression, the number of layers is selected for decoding according to the requirement, and progressive transmission and dynamic adaptation are realized.

The application discloses a kind of three-dimensional model adaptive lightweight processing method and system, the three-dimensional model adaptive lightweight processing method uses C++ and C# mixed development mode, combined with.NET Core cross-platform framework, is divided into business layer and data processing layer: business layer is developed using C#, responsible for service management, MQTT communication and three-party system docking;Data processing layer is developed using C++, focuses on file analysis, mesh partitioning and face reduction optimization.System supports NWD, FBX, IFC, RVM, VUE and the analysis and conversion of multiple industrial three-dimensional model formats, reduce vertex redundancy through triangular mesh index technology, combined with WebP lossless compression material map, realize model volume compression rate is more than 50%.Asynchronous message communication is realized using MQTT protocol, supports JSON instruction control conversion process, can receive conversion request including model UUID, file type, scaling ratio and LOD level and other parameters, while guaranteeing the integrity of model engineering semantic information, significantly reduce model storage and transmission cost.

The present disclosure provides a data compression method and device, electronic equipment and storage medium, and relates to the technical field of data compression. The method comprises the following steps: pre-encoding the luminance correction data corresponding to the pixel block in the target region, determining the initial compression parameter and data damage information corresponding to the pixel block; determining the target compression parameter corresponding to the pixel block according to the data damage information and the initial compression parameter corresponding to the pixel block; and compressing the luminance correction data corresponding to the pixel block based on the target compression parameter corresponding to the pixel block. Thus, when the luminance correction data is compressed to reduce the data volume, the luminance uniformity between different pixel blocks after the luminance of the screen is corrected based on the compressed luminance correction data is ensured.

Multiple mobile bodies (1) perform the following actions respectively: scan the ground portion of the current position of the mobile body (1) and generate a local ground image, generate transmission data of the local ground image with reduced data volume according to the data compression setting, and send the transmission data to the management server (2); the management server (2) receives the transmission data from the multiple mobile bodies (1), determines the current position of each mobile body (1) according to the local ground image represented by the received transmission data, and controls the action of each of the multiple mobile bodies (1) according to the determined current position of the mobile body (1); here, the above-mentioned data compression setting is changed according to the specified conditions.