Definition:Standards that define human readable and machine understandable metadata of media content.
Maintaining human readable and machine understandable metadata descriptions of media content is essential for retrieving, using, and managing non-textual media items. Such descriptions usually contain low-level features (e.g. color histograms) extracted automatically from the underlying media object as well as high-level semantic concepts, annotated by human users. Since semantic content descriptions are always bound to human interpretation, which itself is time- and context-bound, metadata might be misattributed and not very helpful for other users in another context. Assuming that we want to facilitate the user’s ability to formulate contextual queries, it is necessary to maintain context-sensitive metadata. One of the key issues for realizing that goal is the use of context-aware data models and metadata standards [1]. Currently there are two promising, standardized metadata...
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References
F. Nack, “The Future in Digital Media Computing is Meta,” IEEE Multimedia, Vol. 11, No. 2, 2004, pp. 10–13.
F. Nack, J. van Ossenbruggen, and L. Hardmann, “The obscure object of desire: multimedia metadata on the Web, part 2,” IEEE Multimedia, Vol. 12, No. 1, 2005, pp. 54–63.
M. Davis, S. King, N. Good, and R. Savas, “From context to content: leveraging context to infer media metadata,” Proceedings of the 12th annual ACM international conference on Multimedia, 2004, pp. 188–195.
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© 2006 Springer Science+Business Media, Inc.
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(2006). Context and Current Metadata Standards. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/0-387-30038-4_38
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DOI: https://doi.org/10.1007/0-387-30038-4_38
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-24395-5
Online ISBN: 978-0-387-30038-2
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