COURSE UNIT TITLE

: MULTIMEDIA INFORMATION RETRIEVAL

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CSE 5066 MULTIMEDIA INFORMATION RETRIEVAL ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR DERYA BIRANT

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies
Computer Engineering (Non-Thesis-Evening) (English)
Computer Engineering Non-Thesis (English)
Biomedical Tehnologies (English)
Computer Engineering (English)
Computer Engineering (English)
COMPUTER ENGINEERING (ENGLISH)

Course Objective

The aim of this course is to introduce students to the fundamentals of information retrieval systems, techniques for analysis, representation and retrieval of multimedia information. This course will start by studying classic textual information retrieval systems, then move to multimedia systems. The media to be considered include free-text, still images and videos. At the end of this course, the students should have the expertise and competence to design and implement retrieval software for multimedia data.

Learning Outcomes of the Course Unit

1   Understand basics of Information Retrieval
2   Ability to extract some low-level features from multimedia data
3   Use Content-based retrieval techniques
4   Ability to read new reasearch papers in Multimedia Information Retrieval

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basics of Information retrieval
2 Basics of Information retrieval
3 Introduction to Multimedia Information Retrieval
4 Color features
5 Texture features
6 Texture features
7 Shape Features
8 Shape Features
9 Video Retrieval
10 Video Retrieval
11 Music Retrieval
12 Music Retrieval
13 Student Project
14 Student Project

Recomended or Required Reading

1) K. Selcuk Candan and Maria Luisa Sapino. Data Management for Multimedia Retrieval, Cambridge University Press, ISBN-10: 0521887399, ISBN-13: 978-0521887397 (May 31, 2010)
2) Stefan Rueger, Multimedia Information Retrieval, Morgan & Claypool Publishers, pp.172, 2010.

Planned Learning Activities and Teaching Methods

Research, Project, Presentation, Report

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRS PRESENTATION
3 FCG FINAL COURSE GRADE ASG * 0.50 + PRS * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Research, Project, Presentation, Report

Language of Instruction

English

Course Policies and Rules

Participation is mandatory.

Contact Details for the Lecturer(s)

Prof.Dr. Derya BIRANT
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus, 35390 Izmir, Türkiye
Tel: 232-3017401
E-mail: derya@cs.deu.edu.tr

Office Hours

Monday 9:30-12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparing report 1 25 25
Reading 10 3 30
Project Preparation 1 55 55
Preparing presentations 1 20 20
TOTAL WORKLOAD (hours) 200

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.15555555
LO.25555555
LO.35555555
LO.45555555