An Iterative Framework for EEG-based Image Search: Robust Retrieval with Weak Classifiers
نویسندگان
چکیده
منابع مشابه
An Iterative Framework for EEG-based Image Search: Robust Retrieval with Weak Classifiers
We revisit the framework for brain-coupled image search, where the Electroencephalography (EEG) channel under rapid serial visual presentation protocol is used to detect user preferences. Extending previous works on the synergy between content-based image labeling and EEG-based brain-computer interface (BCI), we propose a different perspective on iterative coupling. Previously, the iterations w...
متن کاملIterative EEG-Based Natural Image Search Under RSVP
This work extends previous studies on using EEG decoding for automatic image retrieval. We propose an iterative way to integrate the information obtained from the EEG decoding and image processing methods. In the light of real-world BCI applications, we demonstrated that a limited number of EEG channels provide sufficient information about the subject’s preference to be exploited in image retri...
متن کاملRobust Image Retrieval in a Statistical Framework
In this report, we focus on robust image retrieval. We rst describe why robustness is of importance in this kind of search. Then we propose a very general architecture based on three steps. As an assumption, we assume that any image of the database is characterized by a set of features (each feature resulting in a statistical distribution of a particular measure over the image). The rst step of...
متن کاملRobust histogram-based image retrieval
We present a histogram-based image retrieval method which is designed specifically for noisy query images. The images are retrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by newly proposed features which are insensitive to a Gaussian additive noise in the original images. The advantage of the new method is proved theoretically and demo...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS ONE
سال: 2013
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0072018