Human visual/audio perception and multimedia data representations. Basic multimedia processing concepts, multimedia compression and communications. Machine learning tools for multimedia signal processing, including principle component analysis and Gaussian mixture modeling. Applications to human-computer interaction, visual-audio, and visual-text processing. Prerequisites: ECE 220 or CMPUT 275, ECE 342, MATH 102 or equivalent knowledge. Credit may be obtained in only one of ECE 442 or E E 442.