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Content based search engine for processing unstructurd digital

A technology of unstructured data and indexing, which is applied to systems for retrieving digital data and other systems for processing non-image digital data, and can solve problems such as time-consuming, expensive coverage, and limited coverage

Inactive Publication Date: 2015-12-09
DATAFISSION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Typically, manual efforts (e.g., crowdsourcing, like / dislike, etc.) can be used to generate tags before they can be used by traditional search engines and databases, which is time-consuming, expensive, and has limited coverage

Method used

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  • Content based search engine for processing unstructurd digital
  • Content based search engine for processing unstructurd digital
  • Content based search engine for processing unstructurd digital

Examples

Experimental program
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Embodiment Construction

[0031] As used herein, the terms "component," "system," "interface," "module," etc., are intended to represent a computer-related entity, be it hardware, software (eg, software in execution) and / or firmware. For example, a component may be a process running on a processor, a computer node, a computer core, a cluster of computing nodes, an object, an executable, a program, a processor, and / or a computer. For example, both an application running on a server and the server can be components. One or more components can reside within a process and a component can be localized on one computer and / or distributed between two or more computers.

[0032] The claimed subject matter is described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the innovative subject matter. It may ...

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PUM

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Abstract

Systems and methods for receiving and indexing native digital data and generating signature vectors for subsequent storage and searching for such native digital data in a database of digital data are disclosed. Native digital data may be transformed into associated transform data sets. Such transformation may comprise entropy-like transforms and / or spatial frequency transforms. The native and associated transform data sets may then be partitioned in to spectral components and those spectral components may have statistical moments applied to them to create a signature vector. Other systems and methods for processing non-image digital data are disclosed. Non-image digital data may be transformed into an amplitude vs time data set and a spectrogram may then be applied to such data sets. Such transformed data sets may then be processed as described.

Description

Background technique [0001] The Digital Universe (DU) can be interpreted and / or defined as encompassing the sum total of all digital data in the world that is collected, generated, processed, communicated and stored. The size and growth rate of DUs continues to grow at an exponential rate, with the estimated size of DUs growing to over 40 zettabytes by 2020. The majority of this data consists of "unstructured data". Unstructured data comes in many forms including: images, video, audio, communications, network traffic, data from various sensors (including IoT and web service-based IoT), malware, text, and more. [0002] In contrast to structured data that fits in a row / column format, unstructured data is often stored in opaque containers—such as raw binary data, compressed data, encrypted data, or free-form data, for example. Knowing not only the size and growth rate of DUs is important, but also the distribution of data, which is estimated to be approximately 88% video and i...

Claims

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Application Information

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IPC IPC(8): G06K9/34
CPCG06F17/30864G06F16/951
Inventor 哈罗德·特雷斯琳恩·特雷斯肖恩·赫雷拉
Owner DATAFISSION
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