Registry

Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title	Multimedia Information Retrieval
Module Code	CA437
School	School of Computing
Online Module Resources
Module Co-ordinator	Semester 1: Gareth Jones Semester 2: Gareth Jones Autumn: Gareth Jones
Module Teacher	Gareth Jones
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

The aim of this module is to present the student with an overview and an understanding of how content-based information retrieval operations work. The module covers content-based operations such as indexing, retrieval, filtering, summarisation,and information extraction and is applied to text, image, spoken audio and digital video information. The module includes coverage of these topics as they are applied to the WWW.

Learning Outcomes

1. Demonstrate a clear understanding of the principles underlying information retrieval systems.
2. Apply information retrieval techniques to a range of applied problems.
3. Interpret an information retrieval system requirement, and design a suitable solution system.
4. Describe and justify a plan for implementation and testing of designed solution

Workload	Full-time hours per semester
*Type*	*Hours*	*Description*
Lecture	24	No Description
Independent learning time	101	No Description
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Basic information retrieval operations.
covering indexing, retrieval, filtering, clustering,summarisation, abstraction.

INFORMATION RETRIEVAL ON TEXT.
Retrieval using metadata including SGML, XML, XSL, HTML, stemming and stopwords, inverted files, term weighting, term weighting models, ranking, relevance feedback, query expansion.

INFORMATION RETRIEVAL ON IMAGES.
Indexing images by colour histograms, by texture, by shape; Indexing images by recognised objects.

INFORMATION RETRIEVAL ON DIGITAL AUDIO.
Speech recognition and indexing by words, by phones; Retrieval vs. browsing in digital audio; Example audio retrieval systems.

INFORMATION RETRIEVAL ON DIGITAL VIDEO.
Shot boundary detection techniques; Keyframe identification and extraction; Indexing shots and indexing scenes; Browsing systems for digital audio, browsing digital video.

Assessment Breakdown
Continuous Assessment	25%	Examination Weight	75%

Course Work Breakdown
Type	Description	% of total	Assessment Date
Project	n/a	25%	Sem 1 End

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
This module is category 1

Indicative Reading List

Christopher D. Manning, Prabhakar Raghavan, Hinrich Schu⁽ötze: 2008, Introduction to information retrieval, Cambridge University Press, New York, 0521865719
Ricardo Baeza-Yates, Berthier Ribeiro-Neto: 1999, Modern information retrieval, Addison-Wesley Longman, Reading, Mass., 978-0201398298
Peter Jackson, Isabelle Moulinier: 0, Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization, 1588112500

Other Resources

None

Array

Programme or List of Programmes

BSSA

Study Abroad (DCU Business School)

BSSAO

Study Abroad (DCU Business School)

DME

B.Eng. in Digital Media Engineering

ECSA

Study Abroad (Engineering & Computing)