VISUAL INFORMATION SYSTEMS
CSE4VIS
2014
Credit points: 15
Subject outline
This subject covers an overview of visual information access, image representation, feature extraction, image recognition and understanding, and content-based image retrieval techniques. Design issues on content-based image retrieval systems for image database management will be addressed, which contain image feature extraction, indexing, similarity measure, lower-bounding lemma and performance evaluation. Practice on design of image recognition systems (IRS) or content-based image retrieval (CBIR) systems will be offered in Labs. Knowledge on HTML, PHP, and MySQL will be needed to implement these systems.
Faculty: Faculty of Science, Tech & Engineering
Credit points: 15
Subject Co-ordinator: Justin Wang
Available to Study Abroad Students: Yes
Subject year level: Year Level 4 - UG/Hons/1st Yr PG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: CSE2ICE or equivalent AND Enrolment in one of the following courses: SMIT, SMICT, SMCSC, SMBBS, SGBBS, SGDCS, SPCS, SGDIT or SGCS.
Co-requisites: N/A
Incompatible subjects: CSE3VIS
Equivalent subjects: N/A
Special conditions: N/A
Melbourne, 2014, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Justin Wang
Class requirements
Lecture
One 2.0 hours lecture per week and delivered via face-to-face.
Laboratory Class
One 2.0 hours laboratory class per week and delivered via face-to-face.
Assessments
| Assessment element | Comments | % |
|---|---|---|
| Assignment 1 - CBIR system design | 20 | |
| Assignment 2 -Image recognition system (Group project) | 20 | |
| Exam | 60 |