Course Outline
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Introduction to Multimedia: databases, architectures, applications
Multimedia Information Retrieval: content-based retrieval
Classical Information Retrieval Models: text retrieval, Boolean, vector, probabilistic
models.
Clustering: K-means, Incremental K-means, Bisecting K-means, Agglomerative
clustering.
Hierarchical Clustering, The BIC-Means approach.
Searching the Web: Link Analysis Methods (PageRank, HITS), Systems and techniques.
Indexing Methods: primary and secondary key access methods, spatial access methods.
Dimensionality Reduction and Information Retrieval: Karhunen-Lowe (K-L), Singular
Value Decomposition (SVD), FastMap
Searching Signals and Patterns, Indexing Approaches, Speed and Accuracy of Retrievals.
Representation and Retrieval of Visual Content: Feature extraction, Color, Texture,
Shape, Spatial Relationships.
Compression: JPEG, MPEG 1,2,4,7.
Video Processing, Video partitioning, Video retrieval of uncompressed and MPEG
compressed video.