Active learning for interactive multimedia retrieval

Thomas S. Huang, Charlie K. Dagli, Shyamsundar Rajaram, Edward Y. Chang, Michael I. Mandel, Graham E. Poliner, Daniel P.W. Ellis

Research output: Contribution to journalArticlepeer-review


As the first decade of the 21st century comes to a close, growth in multimedia delivery infrastructure and public demand for applications built on this backbone are converging like never before. The push towards reaching truly interactive multimedia technologies becomes stronger as our media consumption paradigms continue to change. In this paper, we profile a technology leading the way in this revolution: active learning. Active learning is a strategy that helps alleviate challenges inherent in multimedia information retrieval through user interaction. We show how active learning is ideally suited for the multimedia information retrieval problem by giving an overview of the paradigm and component technologies used with special attention given to the application scenarios in which these technologies are useful. Finally, we give insight into the future of this growing field and how it fits into the larger context of multimedia information retrieval.

Original languageEnglish (US)
Article number4469875
Pages (from-to)648-667
Number of pages20
JournalProceedings of the IEEE
Issue number4
StatePublished - Apr 2008


  • Active learning
  • Content-based information retrieval
  • Human-computer interaction
  • Image/video search
  • Interactive pattern recognition
  • Relevance feedback
  • User-centered design

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering


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