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.
| Original language | English |
|---|---|
| Journal | CBMI '23 |
| Pages (from-to) | 173–177 |
| DOIs | |
| Publication status | Published - 30 Dec 2023 |
| Externally published | Yes |
| Event | Content-based Multimedia Indexing - France, Orleans, France Duration: 20 Sept 2023 → 22 Sept 2023 Conference number: 20 https://www.ai4media.eu/event/20th-international-conference-on-content-based-multimedia-indexing-sponsored-by-ai4media/ |
Conference
| Conference | Content-based Multimedia Indexing |
|---|---|
| Number | 20 |
| Location | France |
| Country/Territory | France |
| City | Orleans |
| Period | 20/09/2023 → 22/09/2023 |
| Internet address |
Keywords
- relevance feedback
- multimedia information retrieval
- interactive information retrieval
- user interfaces
- scalability
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