Abstract
Multimedia digital libraries are emerging at an increasingly fast rate throughout the world. There now exist commercial digital archives containing several tens of millions of hours of films and video recordings. This vast amount of multimedia information requires new methods and tools that allow quick searching, indexing and retrieval of audio-visual information in a secure and trusted environment. Efficient and secure searching in multimedia digital libraries requires a) pattern recognition technologies for analyzing and describing content under a semantic framework, b) knowledge engineering algorithms for quick searching of annotated multimedia content, and c) computer science protocols and architectures for protecting intellectual property rights of both content and search technologies. In this paper, we address the latter two of these issues, assuming a known multimedia description scheme stemming from the MPEG-7 standard. Other description schemes can be also used.
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Doulamis, A., Miaoulis, G. (2009). Searching Multimedia Databases Using Tree-Structures Graphs. In: Plemenos, D., Miaoulis, G. (eds) Artificial Intelligence Techniques for Computer Graphics. Studies in Computational Intelligence, vol 159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85128-8_12
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DOI: https://doi.org/10.1007/978-3-540-85128-8_12
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