Exquisitor at the Video Browser Showdown 2025 Unifying Conversational Search and User Relevance Feedback

Open Access
Authors
Publication date 2025
Host editors
  • Ichiro Ide
  • Ioannis Kompatsiaris
  • Changsheng Xu
  • Keiji Yanai
  • Wei-Ta Chu
  • Naoko Nitta
  • Michael Riegler
  • Toshihiko Yamasaki
Book title MultiMedia Modeling
Book subtitle 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, January 8–10, 2025 : proceedings
ISBN
  • 9789819620739
ISBN (electronic)
  • 9789819620746
Series Lecture Notes in Computer Science
Event 31st International Conference on Multimedia Modeling, MMM 2025
Volume | Issue number V
Pages (from-to) 264-271
Number of pages 8
Publisher Singapore: Springer
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
  • Faculty of Economics and Business (FEB) - Amsterdam Business School Research Institute (ABS-RI)
Abstract

Exquisitor is a multimedia retrieval system designed to combine conversational search and user relevance feedback to enhance interactive video search. In this work, we present recent improvements to Exquisitor, focusing on integrating these two search strategies into a unified, user-friendly interface. In this system edition set to participate at VBS 2025, we propose improvements for fusing results from the conversational search and user relevance feedback subsystems into a single search pane, an ability to launch multiple tabbed search instances and several improvements to the user interface to significantly improve user experience and search efficiency, particularly for novice users.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-981-96-2074-6_31
Other links https://www.scopus.com/pages/publications/85215999044
Downloads
978-981-96-2074-6_31 (Final published version)
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