Evaluating Multimedia and Language Tasks.

annotation evaluation information retrieval (IR) metrics multimedia

Journal

Frontiers in artificial intelligence
ISSN: 2624-8212
Titre abrégé: Front Artif Intell
Pays: Switzerland
ID NLM: 101770551

Informations de publication

Date de publication:
2020
Historique:
received: 10 02 2020
accepted: 09 04 2020
entrez: 18 3 2021
pubmed: 19 3 2021
medline: 19 3 2021
Statut: epublish

Résumé

Evaluating information access tasks, including textual and multimedia search, question answering, and understanding has been the core mission of NIST's Retrieval Group since 1989. The TRECVID Evaluations of Multimedia Access began in 2001 with a goal of driving content-based search technology for multimedia just as its progenitor, the Text Retrieval Conference (TREC) did for text and web.

Identifiants

pubmed: 33733150
doi: 10.3389/frai.2020.00032
pmc: PMC7861343
doi:

Types de publication

Journal Article

Langues

eng

Pagination

32

Informations de copyright

Copyright © 2020 Soboroff, Awad, Butt and Curtis.

Références

PLoS One. 2018 Sep 4;13(9):e0202789
pubmed: 30180174

Auteurs

Ian Soboroff (I)

Retrieval Group, Information Access Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, United States.

George Awad (G)

Retrieval Group, Information Access Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Department of Physics, Georgetown University, Washington, DC, United States.

Asad Butt (A)

Retrieval Group, Information Access Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, United States.
Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States.

Keith Curtis (K)

Retrieval Group, Information Access Division, Information Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, United States.

Classifications MeSH