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Systems and methods for reducing data density in large data sets

A video data and algebraic technology, applied in special data processing applications, character and pattern recognition, instruments, etc., can solve problems such as large amounts of data difficulties

Active Publication Date: 2021-10-08
INSCAPE DATA INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, difficulties in storing, indexing, and managing the large amounts of data that some systems require to function

Method used

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  • Systems and methods for reducing data density in large data sets
  • Systems and methods for reducing data density in large data sets
  • Systems and methods for reducing data density in large data sets

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Embodiment Construction

[0062] In the following description, for purposes of explanation, specific details are set forth in order to provide a thorough understanding of the embodiments of the invention. It may be evident, however, that various embodiments may be practiced without these specific details. The drawings and description are not limiting.

[0063] The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability or configuration of the invention. Rather, the ensuing description of the example embodiments will provide those skilled in the art with an enabling description for implementing an example embodiment. It being understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the invention as set forth in the appended claims.

[0064] In the following description specific details are given to provide a thorough understanding of the embodiments. However, one of ord...

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PUM

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Abstract

The present invention provides techniques and systems for identifying unknown content. For example, the number of vectors of the plurality of vectors projected from the origin that are between the reference data point and the unknown data point can be determined. The number of vectors can be used to estimate the angle between the first vector (from the origin to the reference data point) and the second vector (from the origin to the unknown data point). The distance between the reference data point and the unknown data point can then be determined. Using the determined distances, candidate data points can be determined from a set of reference data points. Candidate data points can be analyzed to identify unknown data points.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of US Provisional Application No. 62 / 149,193, filed April 17, 2015, which is hereby incorporated by reference in its entirety. [0003] This application is related to U.S. Patent Application Serial No. 12 / 788,748 filed May 27, 2010, U.S. Patent Application Serial No. 12 / 788,721 filed May 27, 2010, U.S. Patent Application Serial No. 11, 2013 14 / 089,003, Patent Application Serial No. 14 / 217,075 filed March 17, 2014, U.S. Patent Application Serial No. 14 / 217,039, filed March 17, 2014, U.S. Patent Application Serial No. filed March 17, 2014 14 / 217,094, U.S. Patent Application Serial No. 14 / 217,375, filed March 17, 2014, U.S. Patent Application Serial No. 14 / 217,425, filed March 17, 2014, U.S. Patent Application Serial No., filed March 17, 2014 No. 14 / 217,435, U.S. Patent Application Serial No. 14 / 551,933, filed November 24, 2014, and U.S. Patent Application Serial No. 14 / 763,158, filed Dece...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06V10/764
CPCG06V20/40G06V10/764G06F18/2413G06V20/47G06V40/172G06F16/786
Inventor 泽埃夫·诺伊迈尔
Owner INSCAPE DATA INC