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1. (WO2018200862) LOSSLESS REDUCTION OF DATA BY USING A PRIME DATA SIEVE AND PERFORMING MULTIDIMENSIONAL SEARCH AND CONTENT-ASSOCIATIVE RETRIEVAL ON DATA THAT HAS BEEN LOSSLESSLY REDUCED USING A PRIME DATA SIEVE

Pub. No.:    WO/2018/200862    International Application No.:    PCT/US2018/029636
Publication Date: Fri Nov 02 00:59:59 CET 2018 International Filing Date: Fri Apr 27 01:59:59 CEST 2018
IPC: H04N 19/40
H03M 7/30
Applicants: ASCAVA, INC.
Inventors: SHARANGPANI, Harshvardhan
Title: LOSSLESS REDUCTION OF DATA BY USING A PRIME DATA SIEVE AND PERFORMING MULTIDIMENSIONAL SEARCH AND CONTENT-ASSOCIATIVE RETRIEVAL ON DATA THAT HAS BEEN LOSSLESSLY REDUCED USING A PRIME DATA SIEVE
Abstract:
Input data can be losslessly reduced by using a data structure that organizes prime data elements based on their contents. Alternatively, the data structure can organize prime data elements based on the contents of a name that is derived from the prime data elements. Specifically, video data can be losslessly reduced by (1) using the data structure to identify a set of prime data elements, and (2) using the set of prime data elements to losslessly reduce intra-frames. The input data can be dynamically partitioned based on the memory usage of components of the data structure. Parcels can be created based on the partitions to facilitate archiving and movement of the data. The losslessly reduced data can be stored using a set of distilled files and a set of prime data element files.