The course covers multimedia database systems, digital libraries and
analysis techniques for multimedia data. It deals with storage, indexing, and
retrieval of large set of textual and visual data.
The course also covers the most relevant multimedia data mining techniques. In
particular, it deals with the most relevant classification, clustering,
and automatic content annotation algorithms in the context of multimedia data
mining.

Multimedia database systems and digital libraries
- Introduction to multimedia database systems and digital libraries
- Storage, indexing, and retrieval of textual data
- The MPEG-7 and MPEG-21 multimedia content description standards
- Storage, indexing, and retrieval of images and movies

Multimedia data mining
- Classification of multimedia data
- Clustering of multimedia data
- Automatic annotation of visual data
- User profiling

Exercise and laboratory activities deal with the topics of the lectures.

A. Del Bimbo. Visual Information Retrieval, Morgan Kaufmann, 1999
- Michael S. Lew. Principles of Visual Information Retrieval (Advances in Pattern Recognition), 2006
- B. Prabhakaran. Multimedia Database Management Systems, 2006
- V. S. Subrahmanian. Principles of Multimedia Database Systems, 1998

Written and oral examination