Master data

Title: Less is More - diveXplore 5.0 at VBS 2021
Subtitle:
Abstract:

As a longstanding participating system in the annual Video Browser Showdown (VBS2017-VBS2020) as well as in two iterations of the more recently established Lifelog Search Challenge (LSC2018-LSC2019), diveXplore is developed as a feature-rich Deep Interactive Video Exploration system. After its initial successful employment as a competitive tool at the challenges, its performance, however, declined as new features were introduced increasing its overall complexity. We mainly attribute this to the fact that many additions to the system needed to revolve around the system’s core element – an interactive self-organizing browseable featuremap, which, as an integral component did not accommodate the addition of new features well. Therefore, counteracting said performance decline, the VBS 2021 version constitutes a completely rebuilt version 5.0, implemented from scratch with the aim of greatly reducing the system’s complexity as well as keeping proven useful features in a modular manner.

Keywords: Video retrieval, Interactive video search, Video analysis
Publication type: Article in Proceedings (Authorship)
Publication date: 21.01.2021 (Online)
Published by: MultiMedia Modeling
MultiMedia Modeling
to publication
 ( Springer Verlag GmbH; C. Currin, F. Hopfgartner, W. Hurst, H. Johansen, H. Lee, N. O’Connor )
Title of the series: Lecture Notes in Computer Science
Volume number: 12573
First publication: Yes
Version: -
Page: pp. 455 - 460

Versionen

Keine Version vorhanden
Publication date: 21.01.2021
ISBN (e-book):
  • 978-3-030-67834-0
  • 978-3-030-67835-7
eISSN: 1611-3349
DOI: http://dx.doi.org/10.1007/978-3-030-67835-7_44
Homepage: https://link.springer.com/chapter/10.1007%2F978-3-030-67835-7_44
Open access
  • Available online (not 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
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Distributed Multimedia Systems

Cooperations

No partner organisations selected

Articles of the publication

No related publications