Systems and methods for compressing data

US2018063538A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018063538-A1
Application numberUS-201615380519-A
CountryUS
Kind codeA1
Filing dateDec 15, 2016
Priority dateAug 26, 2016
Publication dateMar 1, 2018
Grant date

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  1. Title

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Abstract

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A method of compressing data in the context of a decision-making task includes receiving raw data, analyzing the raw data to determine content of the raw data, and adjusting one or more one data compression parameters in a compression algorithm. The adjustment of the one or more compression parameters is based on the content of the raw data and a received decision-making task to produce a modified compression algorithm. The raw data is thereafter compressed using the modified compression algorithm and output as compressed data.

First claim

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What is claimed is: 1 . A method of compressing data, comprising: receiving raw data; analyzing the raw data to determine content; adjusting at least one compression parameter in a compression algorithm based on the content of the data and a received decision-making task to produce a modified compression algorithm; compressing the data using the modified compression algorithm; and outputting the data as compressed data. 2 . The method as recited in claim 1 , wherein the raw data includes data selected from a group including audio data, image data, and video data. 3 . The method as recited in claim 1 , further comprising analyzing the compressed data to issue a decision related to the decision-making task prior to receiving additional raw data. 4 . The method as recited in claim 1 , wherein the adjusted compression algorithm preserves with high fidelity features in the raw data that are relevant to the decision-making task. 5 . The method as recited in claim 1 , wherein the compression algorithm is an auto encoder and the compression parameter is initially established in a training stage. 6 . The method as recited in claim 5 , wherein the training stage adjusts at least one decision-making rule associated with the decision-making task based on the optimization of at least one of a reconstruction metric and a classification metric. 7 . The method as recited in claim 1 , further comprising receiving a decision-making task, wherein the decision-making task is received prior to receiving the raw data. 8 . The method as recited in claim 1 , further comprising receiving a decision-making task, wherein the decision-making task is received subsequent to receiving the raw data. 9 . A method of compressing image data in the context of a decision-making task, the method comprising: receiving raw image data; analyzing the raw image data to determine content; adjusting at least one compression parameter in a compression algorithm based on the content of the raw image data and a received decision-making task to produce a modified compression algorithm; compressing the raw image data using the modified compression algorithm; and outputting the raw image data as compressed raw image data. 10 . A data compression system, comprising: a data-receiving device; a controller operatively connected to the data-receiving device; and a non-transitory machine-readable memory disposed in communication with the controller and having instructions recorded thereon that, when read by the controller, cause the controller to: receive raw data from the data-receiving device; analyze the raw data to determine content of the raw data; adjust at least one compression parameter in a compression algorithm based on the content of the data and a received decision-making task to produce a modified compression algorithm; compress the data using the modified compression algorithm; and output the data as compressed data. 11 . The system as recited in claim 10 , wherein the data-receiving device is a camera and the raw data includes image or video data. 12 . The system as recited in claim 10 , wherein the data-receiving device includes at least one of a global positioning system, a magnetometer, an accelerometer, a gyroscope, a network device, and a microphone, and wherein the raw data includes data descriptive of at least one of orientation, speed, position, acceleration, motion, audio, transaction, text, and speech. 13 . The system as recited in claim 10 , wherein the instructions cause the controller to adjust at least one decision-making rule relevant to the decision-making task based on the content of the compressed data, and wherein the compression algorithm and the decision-making rule are adjusted coincident with one another. 14 . The system as recited in claim 10 , wherein the modified compression algorithm preserves with high fidelity features in the raw data that are relevant to the decision-making task carried out by a decision-making algorithm. 15 . The system as recited in claim 14 , wherein the decision-making algorithm is a statistical classifier. 16 . The system as recited in claim 14 , wherein the statistical classifier includes at least one of a support vector machine, a decision tree, a k-nearest neighbor, a decision tree ensemble, and a neural network. 17 . The system as recited in claim 10 , wherein the compression algorithm includes an auto encoder, and wherein the parameter adjustment is done in a training stage of the autoencoder. 18 . The system as recited in claim 17 , wherein autoencoder includes one of a static autoencoder, a convolutional autoencoder, and a recurrent autoencoder. 19 . The system as recited in claim 14 , wherein the decision-making task is a classification task, and wherein the decision-making rule associated with the classification task is adjusted in a training stage based upon on optimization of at least one of a reconstruction metric and a classification metric. 20 . The system as recited in claim 11 , wherein the instructions cause the controller to receive a decision-making task prior to receiving the raw data.

Assignees

Inventors

Classifications

  • G06V20/13Primary

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  • Generating training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title

  • Control of means for changing angle of the field of view, e.g. optical zoom objectives or electronic zooming · CPC title

  • Classification techniques · CPC title

  • Determination of region of interest [ROI] or a volume of interest [VOI] · CPC title

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What does patent US2018063538A1 cover?
A method of compressing data in the context of a decision-making task includes receiving raw data, analyzing the raw data to determine content of the raw data, and adjusting one or more one data compression parameters in a compression algorithm. The adjustment of the one or more compression parameters is based on the content of the raw data and a received decision-making task to produce a modif…
Who is the assignee on this patent?
Goodrich Corp
What technology area does this patent fall under?
Primary CPC classification G06V20/13. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Mar 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).