DocumentCode :
3405382
Title :
Large-scale image database triage via EEG evoked responses
Author :
Huang, Yonghong ; Erdogmus, Deniz ; Mathan, Santosh ; Pavel, Misha
Author_Institution :
Oregon Health & Sci. Univ., Portland, OR
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
429
Lastpage :
432
Abstract :
This paper describes an approach for target image search using human brain signals generated by perceptual processes in the brain. The human brain generates event related potentials (ERPs) in response to critical events, such as interesting/novel visual stimuli in the form of a target image. In this paper, we describe experiments involving six professional image analysts and summarize the ERP detection performance as they search for targets within a large image database. We develop a disjoint windowing scheme for data preprocessing to discard irrelevant and redundant information from the raw data to get clean training data. We apply support vector machines to detect ERPs and conduct 10-fold cross validation for parameter regularization. The results demonstrate that the ERP pattern recognition can provide reliable inference for image triage.
Keywords :
electroencephalography; image recognition; inference mechanisms; medical image processing; support vector machines; very large databases; visual databases; EEG evoked responses; clean training data; cross validation; data preprocessing; disjoint windowing scheme; event related potential; human brain signals; inference reliablity; large-scale image database triage; parameter regularization; pattern recognition; perceptual processes; professional image analysts; support vector machines; target image searching; Data preprocessing; Electroencephalography; Enterprise resource planning; Humans; Image analysis; Image databases; Large-scale systems; Performance analysis; Signal generators; Signal processing; EEG; brain computer interface; event related potentials; image triage; pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4517638
Filename :
4517638
Link To Document :
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