MULTIMEDIA INDEXING AND RETRIEVAL (3 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: Describe the principle components of a multimedia information retrieval system and how they differ from other retrieval systems, most notably text information retrieval systems; Understand standards for description and retrieval of multimedia content; State the computational principles underlying both current and emerging multimedia information retrieval systems; Discuss the importance of the human perception of multimedia data for the purpose of content-based retrieval

Topics:

1. Introduction;
2. Languages for Metadata;
3. Pattern Recognition for Multimedia Content Analysis;
4. Searching for Text Documents;
5. Image Processing;
6. Generative Probabilistic Models;
7. Speech Indexing; Semantic Video Indexing ;
8. A Spatio-temporal and Probabilistic Approach in Video Retrieval;
9. Multimodal Content-based Video Retrieval;
10. Interaction;
11. Evaluation of Multimedia Retrieval Systems