Exquisitor at the Video Browser Showdown 2025: Unifying Conversational Search and User Relevance Feedback
- Ujjwal Sharma,
- ,
- Stevan Rudinac,
- Björn Þór Jónsson
- Reykjavík University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 264-271 (8 pages)Publication milestones
- Published - 01/2025
Publication status
Published - 01/2025
Place of publication
SingaporePublisher
Springer Nature SingaporeISBN (Print)
9789819620739ISBN (Electronic)
978-981-96-2074-6Publication IDs
- Scopus: 85215999044
Host publication title
MultiMedia ModelingHost publication editors
- Ichiro Ide
- Ioannis Kompatsiaris
- Changsheng Xu
- Keiji Yanai
- Wei-Ta Chu
- Naoko Nitta
- Michael Riegler
- Toshihiko Yamasaki
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.
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Citations
8
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Related Event
Title
International Conference on Multimedia Modeling
Event type
ConferenceLinks
Date
09/01/2025 - 11/01/2025Location
NaraJapan
