Master data

Title: How Experts Search Different Than Novices – An Evaluation of the diveXplore Video Retrieval System at Video Browser Showdown 2018
Subtitle:
Abstract:

We present a modern interactive video retrieval tool, called diveXplore, that has been used for several iterations of the Video Browser Showdown (VBS) competition with great success – 2nd place for the last two years in a row. The tool provides novel video content search and interaction features (e.g., a semantic map-search & browsing feature with similarity arrangement and a highly efficient sketch-search, optimized for mobile touch-interaction) that make it perfectly suited for flexible video retrieval in large video collections. With the help of a user study we show that the diveXplore system can be used very efficiently by both type of users: novices and experts. Our evaluation results do also show that the interaction statistics of novices and experts differ in terms of used features. The details of our insights can be used to further optimize interfaces of video retrieval tools for non-experts.

Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 07.2018 (Online)
Published by: 2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: -

Versionen

Keine Version vorhanden
Publication date: 07.2018
ISBN (e-book):
  • 978-1-5386-4195-8
eISSN: -
DOI: http://dx.doi.org/10.1109/ICMEW.2018.8551552
Homepage: https://ieeexplore.ieee.org/document/8551552
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: III)
Classification raster of the assigned organisational units:
working groups
  • Distributed Multimedia Systems

Cooperations

No partner organisations selected

Articles of the publication

No related publications