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Title: Feature identification or classification using task-specific metadata

Abstract

Innovations in the identification or classification of features in a data set are described, such as a data set representing measurements taken by a scientific instrument. For example, a task-specific processing component, such as a video encoder, is used to generate task-specific metadata. When the data set includes video frames, metadata can include information regarding motion of image elements between frames, or other differences between frames. A feature of the data set, such as an event, can be identified or classified based on the metadata. For example, an event can be identified when metadata for one or more elements of the data set exceed one or more threshold values. When the feature is identified or classified, an output, such as a display or notification, can be generated. Although the metadata may be useable to generate a task-specific output, such as compressed video data, the identifying or classifying is not used solely in production of, or the creation of an association with, the task-specific output.

Inventors:
;
Issue Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1771613
Patent Number(s):
10832059
Application Number:
16/057,408
Assignee:
Battelle Memorial Institute (Richland, WA)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06K - RECOGNITION OF DATA
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04N - PICTORIAL COMMUNICATION, e.g. TELEVISION
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Patent
Resource Relation:
Patent File Date: 08/07/2018
Country of Publication:
United States
Language:
English

Citation Formats

Teuton, Jeremy R., and Griswold, Richard L. Feature identification or classification using task-specific metadata. United States: N. p., 2020. Web.
Teuton, Jeremy R., & Griswold, Richard L. Feature identification or classification using task-specific metadata. United States.
Teuton, Jeremy R., and Griswold, Richard L. Tue . "Feature identification or classification using task-specific metadata". United States. https://www.osti.gov/servlets/purl/1771613.
@article{osti_1771613,
title = {Feature identification or classification using task-specific metadata},
author = {Teuton, Jeremy R. and Griswold, Richard L.},
abstractNote = {Innovations in the identification or classification of features in a data set are described, such as a data set representing measurements taken by a scientific instrument. For example, a task-specific processing component, such as a video encoder, is used to generate task-specific metadata. When the data set includes video frames, metadata can include information regarding motion of image elements between frames, or other differences between frames. A feature of the data set, such as an event, can be identified or classified based on the metadata. For example, an event can be identified when metadata for one or more elements of the data set exceed one or more threshold values. When the feature is identified or classified, an output, such as a display or notification, can be generated. Although the metadata may be useable to generate a task-specific output, such as compressed video data, the identifying or classifying is not used solely in production of, or the creation of an association with, the task-specific output.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {11}
}

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