Diversity in multimedia information retrieval research

ABSTRACT

Multimedia information retrieval is a highly diverse field. A variety of data types, research problems,methodologies are involved.Researchers in the field come from very different disciplines, ranging from mathematical and physical sciences, computational sciences and engineering, to application domains. The panel, consisting of highly visible active researchers from both academia and the industry,opens a discussion on the importance of diversity to the healthy growth of the field. This paper records their opinions expressed at the panel.

REFERENCES

• 1: Ritendra Datta , Jia Li , James Z. Wang, Content-based image retrieval: approaches and trends of the new age, Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval, November 10-11, 2005, Hilton, Singapore [doi>10.1145/1101826.1101866]
• 2: Joint DELOS-MUSCLE Summer School on Multimedia Digital Libraries.URL: http://www-rocq.inria.fr/imedia/DelosMuscleSummerSchool 2006.
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• 5: James Z. Wang , Jia Li , Gio Wiederhold, SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.23 n.9, p.947-963, September 2001 [doi>10.1109/34.955109]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

General Terms:
Algorithms, Design, Experimentation, Human Factors, Performance, Standardization, Theory

Keywords:
applications, benchmarking, image retrieval, theory, video retrieval