Mohedano, Eva, Salvador, Amaia, Porta Caubet, Sergi, Giró-i-Nieto, Xavier 
ORCID: 0000-0002-9935-5332, McGuinness, Kevin ORCID: 0000-0003-1336-6477, Healy, Graham ORCID: 0000-0001-6429-6339, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389
(2015)
Exploring EEG for object detection and retrieval.
In: 2015 ACM International Conference on Multimedia Retrieval (ICMR 2015), 23-26 Jun 2015, Shanghai, China.
ISBN 978-1-4503-3274-3
Abstract
This paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in contentbased image retrieval. Several experiments are performed using a rapid serial visual presentation (RSVP) of images at different rates (5Hz and 10Hz) on 8 users with different degrees of familiarization with BCI and the dataset. We compare the feedback from the BCI and mouse-based interfaces
in a subset of TRECVid images, finding that, when
users have limited time to annotate the images, both interfaces are comparable in performance. Comparing our best users in a retrieval task, we found that EEG-based relevance feedback can outperform mouse-based feedback.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Interactive computer systems Computer Science > Machine learning Engineering > Signal processing Computer Science > Computer engineering Computer Science > Information retrieval |
| DCU Faculties and Centres: | Research Institutes and Centres > INSIGHT Centre for Data Analytics |
| Published in: | Proceedings of 2015 ACM International Conference on Multimedia Retrieval (ICMR 2015). . Association for Computing Machinery. ISBN 978-1-4503-3274-3 |
| Publisher: | Association for Computing Machinery |
| Copyright Information: | ©2015 ACM |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | Science Foundation Ireland (SFI), grant number SFI/12/RC/2289, Spanish Ministerio de Econom ́ıa y Competitividad and the European Regional Development Fund (ERDF), GeoForce GTX Titan Z from NVIDIA Corporation |
| ID Code: | 20562 |
| Deposited On: | 21 Jul 2015 10:49 by Eva Mohedano Robles . Last Modified 06 Nov 2019 14:25 |
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