COURSE UNIT TITLE

: MULTIMEDIA INFORMATION RETRIEVAL

DEGREE PROGRAMMES

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

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 Shape Features
7 Video Retrieval
8 Video Retrieval
9 Music Retrieval
10 Music Retrieval
11 Student Project
12 Student Project
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

class lectures, programming and reading assignments, project

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRJ PROJECT
2 FCG FINAL COURSE GRADE PRJ * 1


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Dokuz Eylül University, Department of Computer Engineering
Tınaztepe Campus 35160 Buca, Izmir
Tel:+90-(232) 301 74 01

Office Hours

Monday 9:30-12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 10 3 30
Tutorials 0
Preparations before/after weekly lectures 10 3 30
Preparing assignments 3 18 54
Reading 10 2 20
Design Project 1 30 30
Preparation for midterm exam 1 10 10
Preparing presentations 2 4 8
Midterm 1 10 10
TOTAL WORKLOAD (hours) 192

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15223152
LO.23323424
LO.3532252
LO.4245545553

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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