Abstract
The Internet forms today’s largest source of information, with public services like libraries and museums digitizing their collections and making (parts of) it available to the public. Likewise, the public digitizes private information, e.g., holiday pictures and movies, and shares it on the World Wide Web (WWW). This kind of document collections have often two aspects in common. They contain a high density of multimedia objects and its content is often semantically related. The identification of relevant media objects in such a vast collection poses a major problem that is studied in the area of multimedia information retrieval.
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© 2003 Springer-Verlag Berlin Heidelberg
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Windhouwer, M., van Zwol, R. (2003). Combining Concept- with Content-Based Multimedia Retrieval. In: Blanken, H., Grabs, T., Schek, HJ., Schenkel, R., Weikum, G. (eds) Intelligent Search on XML Data. Lecture Notes in Computer Science, vol 2818. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45194-5_15
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DOI: https://doi.org/10.1007/978-3-540-45194-5_15
Publisher Name: Springer, Berlin, Heidelberg
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