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Resource Abstract:
description: The ViTexOCR script presents a new method for extracting navigation data from videos with text overlays using optical character recognition (OCR) software. Over the past few decades, it was common for videos recorded during surveys to be overlaid with real-time geographic positioning satellite chyrons including latitude, longitude, date and time, as well as other ancillary data (such as speed, heading, or user input identifying fields). Embedding these data into videos provides them with utility and accuracy, but using the location data for other purposes, such as analysis in a geographic information system, is not possible when only available on the video display. Extracting the text data from imagery using software allows these videos to be located and analyzed in a geospatial context. The script allows a user to select a video, specify the text data types (e.g. latitude, longitude, date, time, or other), text color, and the pixel locations of overlay text data on a sample video frame. The scripts output is a data file containing the retrieved geospatial and temporal data. All functionality is bundled in a Python script that incorporates a graphical user interface and several other software dependencies.; abstract: The ViTexOCR script presents a new method for extracting navigation data from videos with text overlays using optical character recognition (OCR) software. Over the past few decades, it was common for videos recorded during surveys to be overlaid with real-time geographic positioning satellite chyrons including latitude, longitude, date and time, as well as other ancillary data (such as speed, heading, or user input identifying fields). Embedding these data into videos provides them with utility and accuracy, but using the location data for other purposes, such as analysis in a geographic information system, is not possible when only available on the video display. Extracting the text data from imagery using software allows these videos to be located and analyzed in a geospatial context. The script allows a user to select a video, specify the text data types (e.g. latitude, longitude, date, time, or other), text color, and the pixel locations of overlay text data on a sample video frame. The scripts output is a data file containing the retrieved geospatial and temporal data. All functionality is bundled in a Python script that incorporates a graphical user interface and several other software dependencies.
Citation
Title ViTexOCR; a script to extract text overlays from digital video.
creation  Date   2018-05-21T13:18:41.796403
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name Dublin Core references URL
URL:https://www.sciencebase.gov/catalog/file/get/58dd56ace4b02ff32c685954
protocol WWW:LINK-1.0-http--link
link function information
Description URL provided in Dublin Core references element.
Linkage for online resource
name Dublin Core references URL
URL:https://doi.org/10.5066/F7833Q56
protocol WWW:LINK-1.0-http--link
link function information
Description URL provided in Dublin Core references element.
Linkage for online resource
name Dublin Core references URL
URL:https://doi.org/10.5066/F7833Q56
protocol WWW:LINK-1.0-http--link
link function information
Description URL provided in Dublin Core references element.
Linkage for online resource
name Dublin Core references URL
URL:https://www.sciencebase.gov/catalog/file/get/58dd56ace4b02ff32c685954
protocol WWW:LINK-1.0-http--link
link function information
Description URL provided in Dublin Core references element.
Metadata data stamp:  2018-08-06T19:54:26Z
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notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based on a transform by Damian Ulbricht. Run on 2018-08-06T19:54:26Z
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organisation Name  CINERGI Metadata catalog
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electronic Mail Addresscinergi@sdsc.edu
Metadata language  eng
Metadata character set encoding:   utf8
Metadata standard for this record:  ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:  2007
Metadata record identifier:  urn:dciso:metadataabout:c5861b41-66de-4258-b7f9-5746b0af76d3

Metadata record format is ISO19139 XML (MD_Metadata)