Exquisitor at the Lifelog Search Challenge 2020

Omar Shahbaz Khan, Mathias Dybkjær Larsen, Liam Alex Sonto Poulsen, Björn Thór Jónsson, Jan Zahálka, Stevan Rudinac, Dennis C. Koelma, Marcel Worring

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

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 languageEnglish
Title of host publicationProceedings of the ACM Workshop on Lifelog Search Challenge, LSC@ICMR 2020
EditorsCathal Gurrin, Klaus Schöffmann, Björn Þór Jónsson, Duc-Tien Dang-Nguyen, Jakub Lokoč, Minh-Triet Tran, Wolfgang Hürst
Place of PublicationDublin, Ireland
PublisherAssociation for Computing Machinery
Publication dateJun 2020
Pages19-22
ISBN (Electronic)978-1-4503-7136-0
DOIs
Publication statusPublished - Jun 2020

Keywords

  • Interactive Learning System
  • Relevance Feedback
  • Media Exploration
  • Real-Time User Interaction
  • Multimedia Retrieval Systems

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