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User Relevance Feedback and Novices: Anecdotes from Exquisitor's Participation in Interactive Retrieval Competitions

  • Reykjavík University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 173–177

Publication milestones

  • Published - 30/12/2023

Publication status

Published - 30/12/2023

Publisher

Association for Computing Machinery, United States

Book series

  • Book series name: Proceedings of the International Conference on Content-based Multimedia Indexing
979-8-4007-0912-8

Publication IDs

  • Scopus: 85182589616

Host publication title

CBMI '23: Proceedings of the 20th International Conference on Content-based Multimedia Indexing

Abstract

User relevance feedback is an important component of the multimedia analytics toolbox. In the Exquisitor project, we have primarily focused on the scalability of user relevance feedback over media collections. We have also, however, developed a proof-of-concept user interface and applied the system in interactive retrieval competitions. In this short paper, we describe the main user interface components of the Exquisitor system, along with anecdotal evidence about their effectiveness, or lack thereof.

Publication metrics

Funding Details

Icelandic Research Fund

Related Event

Title

Content-based Multimedia Indexing

Event type

Conference

Degree of recognition

International event

Date

20/09/2023 - 22/09/2023

Location

FranceOrleansFrance