A method for encoding and decoding, an encoder and decoder for a point cloud. The method for encoding a point cloud to generate a bitstream of compressed point cloud data, in which the point cloud's geometry is represented by an octree-based structure with a plurality of nodes having parent-child relationships by recursively splitting a volumetric space containing the point cloud into sub-volumes each associated with a node of the octree-based structure, includes: determining an occupancy pattern for a parent node based on the occupancy of its child nodes; determining a planar context information for at least one of the child nodes; and entropy encoding/decoding the occupancy pattern parent node based on the determined planar context information to produce encoded/decoded data for the bitstream.

A communication compression method based on model weight distribution in federated learning, and belongs to the technical field of wireless communication. Based on the existing federated average idea in federated learning, counts the distribution of model weight information to be transmitted between nodes during each communication, then performs scalar quantization and compression through Lloyd-Max quantizer according to their distribution characteristics, then encodes with Huffman coding method, and finally sends the codes to the target node, thereby the minimum mean square quantization error is realized and the number of bits required for communication is reduced.

A system and method for encoding data using a plurality of encoding libraries. Portions of the data are encoded by different encoding libraries, depending on which library provides the greatest compaction for a given portion of the data. This methodology not only provides substantial improvements in data compaction over use of a single data compaction algorithm with the highest average compaction, but provides substantial additional security in that multiple decoding libraries must be used to decode the data. In some embodiments, each portion of data may further be encoded using different sourceblock sizes, providing further security enhancements as decoding requires multiple decoding libraries and knowledge of the sourceblock size used for each portion of the data. In some embodiments, encoding libraries may be randomly or pseudo-randomly rotated to provide additional security.

Methods, computer program products, and/or systems are provided that perform the following operations: in a data replication environment, analyzing a database workload to generate a knowledge base of information related to compression; dividing a transfer data stream into different segments based, at least in part, on the knowledge base; obtaining candidate compression types for the transfer data stream based, at least in part, on the knowledge base; assigning respective compression types of the candidate compression types to the different segments; generating compressed segments based, at least in part, on the respective compression types assigned to the different segments; and providing the compressed segments to a replication target.

A system and method for encoding data using a plurality of encoding libraries. Portions of the data are encoded by different encoding libraries, depending on which library provides the greatest compaction for a given portion of the data. This methodology not only provides substantial improvements in data compaction over use of a single data compaction algorithm with the highest average compaction, but provides substantial additional security in that multiple decoding libraries must be used to decode the data. In some embodiments, each portion of data may further be encoded using different sourceblock sizes, providing further security enhancements as decoding requires multiple decoding libraries and knowledge of the sourceblock size used for each portion of the data. In some embodiments, encoding libraries may be randomly or pseudo-randomly rotated to provide additional security.

A method is performed by a network element (NE) in a network implementing an Interior Gateway Protocol (IGP). The method comprises generating a message comprising a header and data, wherein the header comprises a length of the data prior to compressing the data, a length of the data after compressing the data, and a compression identifier, compressing the data based on a compression scheme identified by the compression identifier to obtain compressed data, and forwarding a compressed message comprising the header and the compressed data to another NE in the network.

The present disclosure is directed to systems and methods for providing fast and efficient data compression using a combination of content dependent, content estimation, and content independent data compression. In one aspect of the disclosure a method for compressing data comprises the steps of: analyzing a data block of an input data stream to identify a data type of the data block, the input data stream comprising a plurality of disparate data types; performing content dependent data compression on the data block, if the data type of the data block is identified; performing content estimation data compression if the content is estimable; and performing content independent data compression on the data block, if the data type of the data block is not identified or estimable. In another aspect of the present invention LZDR compression is applied to simultaneously perform one method of compression while computing statistics useful in estimating the optimal form of compression to be applied.

A system and method for highly efficient encoding of data that includes extended functionality for asymmetric encoding/decoding and network policy enforcement. In the case of asymmetric encoding/decoding the original data is encoded by an encoder according to a codebook and sent to a decoder, but the output of the decoder depends on data manipulation rules applied at the decoding stage to transform the decoded data, into a different data set from the original data. In the case of network pokey enforcement, a behavior appendix into the codebook, such that the encoder and/or decoder at each node of the network comply with network behavioral rules, limits, and policies during encoding and decoding.

The present disclosure relates to an information processing apparatus and an information processing method that are capable of distributing higher-quality G-PCC streams. When G-PCC streams obtained by encoding Point Cloud data according to G-PCC are generated, there are generated spatial positional information indicating spatial positions of respective pieces of partial Point Cloud data that represent individual parts into which the Point Cloud data is segmented, and grouping information that groups the partial Point Cloud data. The present technology is applicable to a generating apparatus that generates G-PCC streams, for example.

A method is performed by a network element (NE) in a network implementing an Interior Gateway Protocol (IGP). The method comprises generating a message comprising a header and data, wherein the header comprises a length of the data prior to compressing the data, a length of the data after compressing the data, and a compression identifier, compressing the data based on a compression scheme identified by the compression identifier to obtain compressed data, and forwarding a compressed message comprising the header and the compressed data to another NE in the network