Created as part of the Master of Computer Science degree, and is one of six core units in the Artificial Intelligence specialisation.

On successful completion of this unit, you should be able to:

1. describe image analysis and low-level vision.
2. describe semantic image and video understanding techniques.
3. describe CNN and their applications.
4. implement and extend existing computer vision algorithms.
5. evaluate and compare techniques suitable for adding vision capability to unimodal and multimodal intelligent systems.

020119

This unit will discuss the fundamental and modern concepts in image and video analysis. The students will be introduced to the basics of image processing and low-level vision. The topics related to image formation, operations, features and segmentation will enable students with the understanding for developing vision enabled systems. Concepts related to convolutional neural networks (CNN) will be introduced and recent examples will be thoroughly analysed. Recent computer vision concepts will be discussed from a deep learning perspective. The unit will be balanced between the theoretical and the practical implementation aspects of computer vision.

Online

In-semester assessment: 100%

FIT

ITO5047, ITO5136, ITO5163