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Deep Video Understanding Annotations Dataset
The BBC Land Girls TV series is a 3 season series. Each season is 5 episodes of about 45mins each. The TRECVID group at NIST worked with the BBC Corp. to release the dataset to the research community to work on video understanding tasks. Unfortunately, the hosting arrangement for the dataset was not successful and the release of the video dataset couldn't be done. We are releasing the annotations conducted by NIST, without any video data, so that the researchers interested in working on knowledge graph understanding and natural language analysis can take advantage of them.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "George Awad",
"hasEmail": "mailto:george.awad@nist.gov"
}
|
| description | The BBC Land Girls TV series is a 3 season series. Each season is 5 episodes of about 45mins each. The TRECVID group at NIST worked with the BBC Corp. to release the dataset to the research community to work on video understanding tasks. Unfortunately, the hosting arrangement for the dataset was not successful and the release of the video dataset couldn't be done. We are releasing the annotations conducted by NIST, without any video data, so that the researchers interested in working on knowledge graph understanding and natural language analysis can take advantage of them. |
| distribution |
[
{
"title": "DOI Access for Deep Video Understanding Annotations Dataset",
"accessURL": "https://doi.org/10.18434/mds2-2535"
},
{
"title": "Land Girls Annotations Home Page",
"format": "json, xgml, txt",
"accessURL": "https://ir.nist.gov/Landgirls.Challenge/landgirls.html",
"description": "Please read this guide to understand the components of this dataset, how it is formatted and possible ways to use it in your own research."
}
]
|
| identifier | ark:/88434/mds2-2535 |
| issued | 2022-01-25 |
| keyword |
[
"BBC",
"Knowledge Graphs",
"Land Girls",
"Multimedia Understanding",
"Video Analysis",
"Video Description"
]
|
| landingPage | https://data.nist.gov/od/id/mds2-2535 |
| language |
[
"en"
]
|
| license | https://www.nist.gov/open/license |
| modified | 2021-05-25 00:00:00 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| references |
[
"https://dl.acm.org/doi/10.1145/3394171.3416292",
"https://dl.acm.org/doi/10.1145/3394171.3416303",
"https://dl.acm.org/doi/10.1145/3394171.3416305",
"https://dl.acm.org/doi/abs/10.1145/3372278.3390742"
]
|
| theme |
[
"Information Technology:Data and informatics",
"Information Technology:Software research",
"Mathematics and Statistics:Image and signal processing"
]
|
| title | Deep Video Understanding Annotations Dataset |
