There is a more recent version of this academic item available.

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 … For more content click the Read More button below.

Offerings

S2-01-CLAYTON-ON-CAMPUS

T3-57-OS-CHI-SEU-ON-CAMPUS

Requisites

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr Abhinav Dhall

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Learning outcomes

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 convolutional neural networks 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

Teaching approach

Active learning

Assessment

1 - In-semester assessment

2 - Examination (2 hours and 10 minutes)

Scheduled and non-scheduled teaching activities

Laboratories

Lectures

Workload requirements

Workload