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Issue No.01 - Jan.-March (2013 vol.20)
pp: 92
John R. Smith , IBM Research
ABSTRACT
Classification schemes are needed to catalog the growing numbers of images. Facets are an important technique from library science that can help to more effectively represent visual concepts.
INDEX TERMS
multimedia semantic modeling, multimedia, images, classification, machine learning
CITATION
John R. Smith, "Just the Facets", IEEE MultiMedia, vol.20, no. 1, pp. 92, Jan.-March 2013, doi:10.1109/MMUL.2013.4
REFERENCES
1. J.R. Smith, "Minding the Gap," IEEE MultiMedia, vol. 19, no. 1, 2012, pp. 2–3.
2. J. Deng et al., "What Does Classifying More Than 10,000 Image Categories Tell Us?" Proc. 11th European Conf. Computer Vision (ECCV), Springer-Verlag, 2010, pp. 71–84.
3. B. Kwasnik, "The Role of Classification and Knowledge in Representation and Discovery," Library Trends, vol. 48, no. 1, 1999, pp. 22–47.
4. P. Yee et al., "Faceted Metadata for Image Search and Browsing," Proc. ACM SIGCHI Conf. Human Factors in Computing Systems (CHI), ACM, 2003, pp. 401–408.
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