FIT5012 - Data compression techniques

Leader: Dr. Peter Tischer

Offered

Not offered in 2008

Synopsis

The subject covers many of the following topics: Waveform characterisation and representation. Human visual systems and vision modelling. Transform coding, including the Karhunen Loeve transform, discrete Hadamard transform, discrete Walsh Hadamard transform, and discrete cosine transform. Motion estimation and compensation for video coding. Hybrid coding algorithms and their applications to image and video encoding and compression. Sub-band and wavelet transform coding. Vector quantisation. Run-length coding. Variable-length/entropy coding techniques including Huffman and arithmetic coding. Fractal image and video compression. Introduction to industrial coding standards for audio-visual signals (JPEG, H.26x, MPEG). Implementations and applications of digital video coding systems. Transmission of audio and video content (channel coding, DVB, IP).

Assessment

Class test: 20%; Practical report: 50%; Assignments/Demonstrations: 30%.

Contact hours

4 x contact hrs/week

Prerequisites

MAT1811/1812, MAT1841 or equivalent, and 2 years or more of study in a computing related course.

Prohibitions

CSE5302