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

Omar Shahbaz Khan, Björn Þór Jónsson

Publikation: Artikel i tidsskrift og konference artikel i tidsskriftKonferenceartikelForskningpeer review

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.
OriginalsprogEngelsk
TidsskriftCBMI '23
Sider (fra-til)173–177
DOI
StatusUdgivet - 30 dec. 2023
Udgivet eksterntJa
BegivenhedContent-based Multimedia Indexing - France, Orleans, Frankrig
Varighed: 20 sep. 202322 sep. 2023
Konferencens nummer: 20
https://www.ai4media.eu/event/20th-international-conference-on-content-based-multimedia-indexing-sponsored-by-ai4media/

Konference

KonferenceContent-based Multimedia Indexing
Nummer20
LokationFrance
Land/OmrådeFrankrig
ByOrleans
Periode20/09/202322/09/2023
Internetadresse

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