Stammdaten

Titel: Dataset Column: Report from the MMM 2019 Special Session on Multimedia Datasets for Repeatable Experimentation (MDRE 2019)
Untertitel:
Kurzfassung:

Information retrieval and multimedia content access have a long history of comparative evaluation, and many of the advances in the area over the past decade can be attributed to the availability of open datasets that support comparative and repeatable experimentation. Sharing data and code to allow other researchers to replicate research results is needed in the multimedia modeling field, as it helps to improve the performance of systems and the reproducibility of published papers.

This report summarizes the special session on Multimedia Datasets for Repeatable Experimentation (MDRE 2019), which was organized at the 25th International Conference on MultiMedia Modeling (MMM 2019), which was held in January 2019 in Thessaloniki, Greece.

The intent of these special sessions is to be a venue for releasing datasets to the multimedia community and discussing dataset related issues. The presentation mode in 2019 was to have short presentations (8 minutes) with some questions, and an additional panel discussion after all the presentations, which was moderated by Björn Þór Jónsson. In the following we summarize the special session, including its talks, questions, and discussions.

Schlagworte:
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 09.2019 (Online)
Erschienen in: ACM SIGMM Records
ACM SIGMM Records
zur Publikation
 ( ACM Press; )
Titel der Serie: -
Bandnummer: 11
Heftnummer: 3
Erstveröffentlichung: Ja
Version: -
Seite: -

Versionen

Keine Version vorhanden
Erscheinungsdatum: 09.2019
ISBN (e-book): -
eISSN: 1947-4598
DOI: -
Homepage: https://records.sigmm.org/2019/10/22/dataset-column-report-from-the-mmm-2019-special-session-on-multimedia-datasets-for-repeatable-experimentation-mdre-2019/
Open Access
  • Online verfügbar (Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Zitationsindex
  • n.a.
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: III)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Distributed Multimedia Systems

Kooperationen

Organisation Adresse
University of Copenhagen
Kopenhagen
Dänemark
DK  Kopenhagen
Dublin City University
Collins Ave Ext, Whitehall
Dublin 9
Irland
Collins Ave Ext, Whitehall
IE  Dublin 9

Beiträge der Publikation

Keine verknüpften Publikationen vorhanden