Multimedia classification

Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingChapter


Many machine classification problems resemble human decision making tasks, which are multimodal in nature. Humans have the capability to combine various types of sensory data and associate them with natural language entities. Complex decision tasks such as person identification often heavily depend on such synergy or fusion of different modalities. For that reason, much effort on machine classification methods goes into exploiting the underlying relationships among modalities and constructing an effective fusion algorithm. This is a fundamental step in the advancement of artificial intelligence, because the scope of learning algorithms is not limited to one type of sensory data.

Original languageEnglish (US)
Title of host publicationData Classification
Subtitle of host publicationAlgorithms and Applications
PublisherCRC Press
Number of pages28
ISBN (Electronic)9781466586758
ISBN (Print)9781466586741
StatePublished - Jan 1 2014

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)
  • Computer Science(all)

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