Abstract
The rapid growth of multimedia technologies has led to the creation of large collections of various types of multimedia data accessed and controlled by a wide range of users, systems, applications and services. Here, the term multimedia data refers mainly to data contained in audio, image, video, and text files. Such data are characterized by their large quantities, high complexity and format diversity. Thus, intelligent methods, applications, systems, and services are needed that are able to process the content in massive multimedia data collections and extract meaningful and useful information. This chapter presents the process of content description of multimedia data.
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Lampropoulos, A.S., Tsihrintzis, G.A. (2015). Content Description of Multimedia Data. In: Machine Learning Paradigms. Intelligent Systems Reference Library, vol 92. Springer, Cham. https://doi.org/10.1007/978-3-319-19135-5_4
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DOI: https://doi.org/10.1007/978-3-319-19135-5_4
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