1. Working with Pointers;
2. Common Data Structures;
3. Working with Linked Lists;
4. Working with Binary Data Trees.

1. Working with Pointers;
2. Working with Common Data Structures;
3. Working with Linked Lists;
4. Working with Binary Data Trees.

1. Introduction on Image Processing;
2. Color Description;
3. Geometric Transformations;
4. Point Operations;
5. Linear Filtering;
6. Non-Linear Filtering;
7. Morphology;
8. Unitary Transforms.

1. Video Information;
2. Temporal Filtering;
3. Color Information;
4. Temporal Structure;
5. Motion Information.

Lecture notes: right click to download the draft version of the book “The Content-Based Indexing Paradigm in the Context of  Multimodal Data”.

1. Introduction (concept, applications, techniques);
2. Input Data Processing and Analysis;
3. Clustering Techniques;
4. Classification Techniques;
5. Performance Assessment.