Active Learning for Interactive Multimedia Retrieval
Huang, T.S.
Dagli, C.K.
Rajaram, S.
Chang, E.Y.
Mandel, M.I.
Poliner, G.E.
Ellis, D.P.W.
Univ. of Illinois, Urbana;
This paper appears in: Proceedings of the IEEE
Publication Date: April 2008
Volume: 96,
Issue: 4
On page(s): 648-667
ISSN: 0018-9219
INSPEC Accession Number: 9918718
Digital Object Identifier: 10.1109/JPROC.2008.916364
Current Version Published: 2008-03-14
Abstract
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.
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