| 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
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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
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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.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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MIR 2006, http://riemann.ist.psu.edu/mir2006.
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James Z. Wang , Nozha Boujemaa , Alberto Del Bimbo , Donald Geman , Alexander G. Hauptmann , Jelena Tesić, Diversity in multimedia information retrieval research, Proceedings of the 8th ACM international workshop on Multimedia information retrieval, October 26-27, 2006, Santa Barbara, California, USA
[doi> 10.1145/1178677.1178681]
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