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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings No
Title Open Challenges of Interactive Video Search and Evaluation
Organization Unit
  • Jakub Loko
  • Klaus Schoeffmann
  • Werner Bailer
  • Luca Rossetto
  • Björn þóR Jónsson
Presentation Type lecture
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
ISBN 9781450392037
Page Range 7383 - 7385
Event Title MM '22: The 30th ACM International Conference on Multimedia
Event Type conference
Event Location Lisboa Portugal
Event Start Date November 10 - 2022
Event End Date November 14 - 2022
Place of Publication New York, NY, USA
Publisher ACM
Abstract Text During the last 10 years of Video Browser Showdown (VBS), there were many different approaches tested for known-item search and ad-hoc search tasks. Undoubtedly, teams incorporating state-of-the-art models from the machine learning domain had an advantage over teams focusing just on interactive interfaces. On the other hand, VBS results indicate that effective means of interaction with a search system is still necessary to accomplish challenging search tasks. In this tutorial, we summarize successful deep models tested at the Video Browser Showdown as well as interfaces designed on top of corresponding distance/similarity spaces. Our broad experience with competition organization and evaluation will be presented as well, focusing on promising findings and also challenging problems from the most recent iterations of the Video Browser Showdown.
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Digital Object Identifier 10.1145/3503161.3546973
Other Identification Number merlin-id:22812
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