Abstract
We present an enhanced version of Exquisitor, our interactive and scalable media exploration system. At its core, Exquisitor is an interactive learning system using relevance feedback on media items to build a model of the users' information need. Relying on efficient media representation and indexing, it facilitates real-time user interaction. The new features for the Lifelog Search Challenge 2020 include support for timeline browsing, search functionality for finding positive examples, and significant interface improvements. Participation in the Lifelog Search Challenge allows us to compare our paradigm, relying predominantly on interactive learning, with more traditional search-based multimedia retrieval systems.
Original language | English |
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Title of host publication | Proceedings of the ACM Workshop on Lifelog Search Challenge, LSC@ICMR 2020 |
Editors | Cathal Gurrin, Klaus Schöffmann, Björn Þór Jónsson, Duc-Tien Dang-Nguyen, Jakub Lokoč, Minh-Triet Tran, Wolfgang Hürst |
Place of Publication | Dublin, Ireland |
Publisher | Association for Computing Machinery |
Publication date | Jun 2020 |
Pages | 19-22 |
ISBN (Electronic) | 978-1-4503-7136-0 |
DOIs | |
Publication status | Published - Jun 2020 |
Keywords
- Interactive Learning System
- Relevance Feedback
- Media Exploration
- Real-Time User Interaction
- Multimedia Retrieval Systems