Feature identification or classification using task-specific metadata

Title: Feature identification or classification using task-specific metadata

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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:: Teuton, Jeremy R.; Griswold, Richard L.

Issue Date:: 2018-09-11

OSTI Identifier:: 1478530

Assignee:: Battelle Memorial Institute (Richland, WA) PNNL

Patent Number(s):: 10,074,014

Application Number:: 15/092,548

Contract Number:: AC05-76RL01830

Resource Relation:: Patent File Date: 2016 Apr 06

Research Org:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Org:: USDOE

Country of Publication:: United States

Language:: English

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