FIT5012 - Data compression techniques
6 points, SCA Band 2, 0.125 EFTSL
Postgraduate Faculty of Information Technology
Leader(s): Peter Tischer
Offered
Clayton First semester 2009 (Day)
Synopsis
This unit enables students to acquire knowledge on the fundamental concepts, theory and techniques of digital image, video and audio signal coding, quantisation, motion estimation and compensation, vector quantisation and variable-length coding techniques. It also covers the international standards for audio-visual compression, including JPEG, H.26X and MPEG.
Objectives
At the completion of this unit students will:
- understand the fundamental concepts, theory and techniques of audio-visual signal coding and compression;
- understand the nature of psycovisual/psychoacoustic redundancy found in natural audio-visual signals represented digitally;
- understand the requirements and issues involved in transmission of digital audio/visual signals;
- recognise the complexity versus performance trade-offs for audio-visual compression;
- be familar with standards for representing audio-visual data digitally;
- design and implement compression algorithms using hardware and/or software.
Assessment
Practical Report: 30%; Assignments/Demonstration: 20%; Exam (3 hours): 50%.
Contact hours
2 hours of lectures/week, 1 hour of tutorials/week
Prerequisites
MAT4003. For MAIT students, FIT9017, FIT9018, FIT9019, FIT9030, FIT9020 and FIT4037.
Recommended knowledge: knowledge of how to program in a C/C++ environment.
Prohibitions
CSE5302
Additional information on this unit is available from the faculty at:
13 October 2017
19 December 2024