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We present a normalization framework for designing of multimedia database schemes with reduced manipulation anomalies. To this end we introduce new extended dependencies involving different types of multimedia data. Such dependencies are based on distance functions that are used to detect semantic relationships between complex data types. Based upon these new dependencies, we have defined five multimedia normal forms. Finally, we have performed a simulation on a large image dataset to analyze the impact of the proposed framework in the context of content-based retrieval applications and in e-learning applications.
Multimedia databases, Normal forms

V. Deufemia, S. Chang, G. Polese and M. Vacca, "A Normalization Framework for Multimedia Databases," in IEEE Transactions on Knowledge & Data Engineering, vol. 19, no. , pp. 1666-1679, 2007.
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