ITO5221 Intelligent image and video analysis
Faculty of Information Technology
ITO5221 Intelligent image and video analysis is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology. It isn't offered in 2021. It needs ITO5047, ITO5163 and ITO5136.
- Credit points
- 6
- Offered in 2021
- Not offered
This is the 2021 handbook entry. See the 2027 entry.
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Requisites
Before ITO5221
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After ITO5221
No unit lists ITO5221 as a prerequisite in the 2021 handbook.
Enrolment rules
This unit is only available to students enrolled into C4009 Graduate Certificate of Computer Science, C5008 Graduate Diploma of Computer Science and C6008 Master of Computer Science.
Equivalent units
The same content under another code. Only one of them counts.
Overview
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.
Offerings in 2021
The 2021 handbook lists no offerings for ITO5221.
Learning outcomes
When you finish 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.
Workload and teaching
- Teaching approachOnline learning
A minimum of 122 hours over the 6 week teaching period should be used to complete assignments, participating in discussions, private study and revision.