Clayton Second semester 2005 (Day)
Synopsis: Fundamental concepts, theory and techniques of digital video signal coding and compression, waveform characterization and representation; human visual systems and vision modelling; transform coding, performance evaluation; motion compensated video coding techniques; hybrid coding algorithms sub-band and wavelet transform coding; vector quantization; run-length coding; variable-length coding techniques including Huffman, Sannon-Fano and Comma codes; fractal image/video compression; hierarchical coding; filtering in video systems; introduction to industrial coding/compression standards for image/video signals; implementations and applications of digital video coding systems.
Assessment: 40% Assignments (2) and laboratory work demonstration + 60% Laboratory reports (3)
Contact Hours: 2 hours lectures
Prerequisites: An undergraduate degree in a technical computing area such as a Bachelor of Digital Systems or Bachelor of Computer Science or equivalent, including MAT 1811/1812 or MAT 1841/1830 or equivalent