Exploring EEG for Object Detection and Retrieval
Refereed Conference Meeting Proceeding
This paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content- based 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 inter- faces in a subset of TRECVid images, finding that, when users have limited time to annotate the images, both inter- faces are comparable in performance. Comparing our best users in a retrieval task, we found that EEG-based relevance feedback can outperform mouse-based feedback.
The Annual ACM International Conference on Multimedia Retrieval (ICMR)
Digital Object Identifer (DOI):
Dublin City University (DCU)
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