oai:www.ldc.upenn.edu:LDC2018V01
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OLAC Record oai:www.ldc.upenn.edu:LDC2018V01 |
| Metadata | ||
| Title: | HAVIC MED Event E051-E060 -- Videos, Metadata and Annotation | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Morris, Amanda, et al. HAVIC MED Event E051-E060 -- Videos, Metadata and Annotation LDC2018V01. Web Download. Philadelphia: Linguistic Data Consortium, 2018 | |
| Contributor: | Morris, Amanda | |
| Strassel, Stephanie | ||
| Li, Xuansong | ||
| Antonishek, Brian | ||
| Fiscus, Jonathan G. | ||
| Date (W3CDTF): | 2018 | |
| Date Issued (W3CDTF): | 2018-09-17 | |
| Description: | *Introduction* HAVIC MED Event E051-E060 -- Videos, Metadata and Annotation was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 53 hours of user-generated videos with annotation and metadata. To advance multimodal event detection and related technologies, LDC developed, in collaboration with NIST (the National Institute of Standards and Technology), a large, heterogeneous, annotated multimodal corpus for HAVIC (the Heterogeneous Audio Visual Internet Collection) that was used in the NIST-sponsored MED (Multimedia Event Detection) task for several years. HAVIC MED Event E051-E060 is a subset of that corpus, specifically, a collection of event videos for the HAVIC Project originally released to support the 2016 Multimedia Event Detection task. *Data* The data consists of videos of various events (event videos) and videos completely unrelated to events (background videos) harvested by a large team of human annotators. Each event video was manually annotated with a set of judgments describing its event properties and other salient features. Background videos were labeled with topic and genre categories. All video files are in .mp4 format (h.264), with varying bit-rates and levels of audio fidelity and video resolution. Metadata and annotation for the videos are stored in a .tsv file. *Samples* Please view this video sample and annotation sample. *Updates* None at this time. | |
| Extent: | Corpus size: 18259344 KB | |
| Identifier: | LDC2018V01 | |
| https://catalog.ldc.upenn.edu/LDC2018V01 | ||
| ISBN: 1-58563-857-9 | ||
| ISLRN: 92-091-577-155-5 | ||
| DOI: 10.35111/m8n7-xy13 | ||
| Language: | English | |
| Language (ISO639): | eng | |
| License: | LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
| Medium: | Distribution: Web Download | |
| Provenance: | Data was collected by the Linguistic Data Consortium (LDC) in Philadelphia, PA, USA. | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2018V01 | |
| Rights Holder: | Portions © 2011-2016 YouTube, LLC, © 2011-2018 Trustees of the University of Pennsylvania | |
| Type (DCMI): | MovingImage | |
| Text | ||
| Type (OLAC): | primary_text | |
OLAC Info |
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| Archive: | The LDC Corpus Catalog | |
| Description: | http://www.language-archives.org/archive/www.ldc.upenn.edu | |
| GetRecord: | OAI-PMH request for OLAC format | |
| GetRecord: | Pre-generated XML file | |
OAI Info |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2018V01 | |
| DateStamp: | 2020-11-30 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Morris, Amanda; Strassel, Stephanie; Li, Xuansong; Antonishek, Brian; Fiscus, Jonathan G. 2018. Linguistic Data Consortium. | |
| Terms: | area_Europe country_GB dcmi_MovingImage dcmi_Text iso639_eng olac_primary_text | |