cse4vis visual information systems

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.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorJustin Wang

Available to Study Abroad StudentsYes

Subject year levelYear Level 4 - UG/Hons/1st Yr PG

Exchange StudentsYes

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-requisitesN/A

Incompatible subjects CSE3VIS

Equivalent subjectsN/A

Special conditionsN/A

Subject options

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Start date between: and    Key dates

Melbourne, 2014, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorJustin 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 elementComments%
Assignment 1 - CBIR system design20
Assignment 2 -Image recognition system (Group project)20
Exam60