DocumentCode :
105029
Title :
Merging Neuroimaging and Multimedia: Methods, Opportunities, and Challenges
Author :
Tianming Liu ; Xintao Hu ; Xiaojin Li ; Mo Chen ; Junwei Han ; Lei Guo
Author_Institution :
Dept. of Comput. Sci. & Bioimaging Res. Center, Univ. of Georgia, Athens, GA, USA
Volume :
44
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
270
Lastpage :
280
Abstract :
Neuroimaging and brain mapping can provide meaningful guidance to multimedia analyses. and advanced computational multimedia analysis can be used to better understand the functional mechanisms of the human brain. Essentially, brain imaging and brain mapping techniques can serve as a bridge that links the digital representation of multimedia and the perception and comprehension of its content. This paper summarizes methods that integrate brain imaging with multimedia analysis and discusses the opportunities and challenges in this interdisciplinary field. In general, quantitative modeling of brain responses during multimedia comprehension has advanced content-based multimedia studies such as image and video classification and tagging. Multimedia analysis has promoted functional brain mapping by using naturalistic multimedia as stimuli during neuroimaging. Challenges and opportunities in merging neuroimaging and multimedia include the quantification of the brain´s responses, the quantification of multimedia, and the mapping between brain responses and computational multimedia features.
Keywords :
biomedical MRI; biomedical optical imaging; brain-computer interfaces; electroencephalography; feature extraction; image classification; medical image processing; neurophysiology; EEG; advanced computational multimedia analysis; advanced content-based multimedia; brain imaging; brain responses; computational multimedia features; digital representation; fMRI; functional brain mapping; functional mechanisms; human brain; image classification; image tagging; interdisciplinary field; multimedia comprehension; naturalistic multimedia; neuroimaging; perception; quantitative modeling; video classification; video tagging; Brain models; Electroencephalography; Multimedia communication; Neuroimaging; Streaming media; Visualization; Brain–computer interface; brain imaging; cognition; multimedia; perception; semantic gaps;
fLanguage :
English
Journal_Title :
Human-Machine Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2291
Type :
jour
DOI :
10.1109/THMS.2013.2296871
Filename :
6742574
Link To Document :
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