Content-based multimedia information retrieval: State of the art and challenges

  • Authors:
  • Michael S. Lew;Nicu Sebe;Chabane Djeraba;Ramesh Jain

  • Affiliations:
  • Leiden University, The Netherlands;University of Amsterdam, The Netherlands, SJ Amsterdam, The Netherlands;LIFL, France;University of California at Irvine, USA

  • Venue:
  • ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
  • Year:
  • 2006

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Abstract

Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad variety of media all over the world. This survey reviews 100+ recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we discuss the major challenges for the future.