Registry

Module Specifications

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

Module Title	Image & Video Compression
Module Code	EE554
School	School of Electronic Engineering
Online Module Resources
Module Co-ordinator	Semester 1: Noel O'Connor Semester 2: Noel O'Connor Autumn: Noel O'Connor
Module Teacher	Noel O'Connor
NFQ level	8	Credit Rating	7.5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

INACTIVE - The aim of this module is to introduce graduate-level students to the theory, technology and standards of image and video compression to support: the development of products in the digital media and telecommunications sectors which depend on this technology; beginning research students in this field; the evaluation of forthcoming technologies and standards in this field by non-specialists.

Learning Outcomes

1. Explain the need for image and video compression for applications in: Real-time audiovisual Communications; Interactive off-line audiovisual applications and services; High bitrate broadcast services; Low bitrate Internet applications and services
2. Demonstrate an understanding of the theory underpinning the basic tools used for compressing visual data considering a specific application domain
3. Implement and demonstrate in software selected key components of a complete codec as specified/suggested by ISO/IEC video compression standards
4. Critically evaluate the effectiveness, advantages and functionality of various international image/video compression standards and their associated target application class(es) (including existing products/solutions)

Workload	Full-time hours per semester
*Type*	*Hours*	*Description*
Lecture	36	No Description
Assignment	36	No Description
Independent learning	116	No Description
Total Workload: 188

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

The challenge of digital audiovisual compression.
Data volume, error visibility, streaming, real-time, compatibility..

An overview of existing audiovisual compression standards.
JPEG, JPEG-2000, H.261, H.263, MPEG-1, MPEG-2, MPEG-4, H.264.

Visual coding theory and approaches.
Transform-based coding; hybrid coding; basic codec structure, intra/inter frames, macroblock structure, configuration of coding tools; advanced and unrestricted motion estimation, context-based arithmetic coding, overlapped-block motion estimation..

JPEG, MPEG-1, MPEG-2 & MPEG-4.
DCT coding, coefficient quantisation and Huffman coding. I-,B- and P-pictures, user defined quantisation matrix. Compatibility, scalability, interlaced tools, profiles and levels. VOs and VOPS, layered codec structure, VOP bounding, alpha plane encoding (shape coding), half-pixel resolution motion estimation, advanced and unrestricted mode, padding/shape-adaptive DCT, scalability, error robustness, profiles..

Future developments in audiovisual compression and related issues.
MPEG-7, visual object segmentation, video analysis). Non-normative coding techniques (e.g. fractal coding, region-based, wavelets.

Assessment Breakdown
Continuous Assessment	25%	Examination Weight	75%

Course Work Breakdown
Type	Description	% of total	Assessment Date
Report (s) (written / oral)	Assignment report on implementation, experimentation and research into recent standards	25%	n/a

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

Puri,A., Chen,T.: 2000, MPEG4/ITUT standards, Multimedia Systems, Standards, and Networks, Marcel Dekker,
Rao, K.R., Hwang J.J.: 1996, Techniques and Standards for Image, Video and Audio Coding, PrenticeHall,
B. Furht, J. Greenberg, R. Westwater: 1997, Motion Estimation Algorithms for Video Compression, Kluwer Academic,

Other Resources

None

Array

Programme or List of Programmes

CAPD

PhD

CAPM

MSc

CAPT

PhD-track

DMEV

M.Eng. in Digital Media Engineering