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High diversity transforms multimedia information retrieval into a cross-cutting field: report on the 8th Workshop on Multimedia Information Retrieval
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ACM SIGMOD Record archive
Volume 36 ,  Issue 1  (March 2007) table of contents
COLUMN: Event reports table of contents
Pages: 57 - 59  
Year of Publication: 2007
ISSN:0163-5808
Authors
James Z. Wang  The Pennsylvania State University, University Park, PA
Nozha Boujemaa  INRIA Rocquencourt, France
Yixin Chen  University of Mississippi, University, MS
Publisher
ACM  New York, NY, USA
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ABSTRACT

Indexing and retrieval of large quantity of multimedia data is a highly challenging and growingly important problem for the computer science research community. Researchers in multimedia, databases, computer vision, machine learning, signal and image processing and statistics have worked on multimedia information retrieval (MIR) for over a decade. A number of significant technological advances have been achieved in this field. Some of the techniques have been applied to application areas such as art image retrieval, biomedical image and video retrieval, education, sensor networks, large-scale online personal and professional photo sharing communities, classification and filtering of images on the Web, scientific content, computer forensics, threat assessment and security applications more generally.



Collaborative Colleagues:
James Z. Wang: colleagues
Nozha Boujemaa: colleagues
Yixin Chen: colleagues