Lecture: Multimedia Information Extraction and Retrieval: Summer 2011
StudIP link
Ralf Möller
Location: SBS 95, H0.10
Time: Thursdays 10:45-12:12
Prerequisites:
- Basics in computer science
- Some math (discrete algebraic structures, analysis, linear algebra, propositional logic, first-order logic, probability theory)
Contents
- Introduction
- Indexing and Query Answering
- Term Frequency.Inverse Document Frequency
- Similarity
- Latent Semantic Analysis
- Evaluation and Query Expansion
- Search Engines
- Probabilistic Information Retrieval
- Search and Recommendation
- Link Analysis
- Multidimensional Data Structures
- Social Network Analysis
- Multimedia Analysis
- Multimedia Interpretation
- Summarization
Labs
Recommended reading:
- Christopher Manning, Prabhakar Raghawan, Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press
- Paola Hobson, Ioannis Kompatsiaris, Semantic Multimedia and Ontologies: Theory and Applications, esp. Chapter 3, Springer Verlag, 2009