Master data

Title: Dataset Column: Report from the MMM 2019 Special Session on Multimedia Datasets for Repeatable Experimentation (MDRE 2019)
Subtitle:
Abstract:

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.

Keywords:
Publication type: Article in journal (Authorship)
Publication date: 09.2019 (Online)
Published by: ACM SIGMM Records
ACM SIGMM Records
to publication
 ( ACM Press; )
Title of the series: -
Volume number: 11
Issue: 3
First publication: Yes
Version: -
Page: -

Versionen

Keine Version vorhanden
Publication date: 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
  • Available online (open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Citation index
  • n.a.
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: III)
Classification raster of the assigned organisational units:
working groups
  • Distributed Multimedia Systems

Cooperations

Organisation Address
University of Copenhagen
Kopenhagen
Denmark
DK  Kopenhagen
Dublin City University
Collins Ave Ext, Whitehall
Dublin 9
Ireland
Collins Ave Ext, Whitehall
IE  Dublin 9

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