• 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