Lectures

Week; Lecture Topics and Important Events
1/21 Matched Filter, Lp-norm, Speech Production, Cepstrum
1/28 MP1 walkthrough; Speech Perception
2/4 PCA applications to face detection and recognition
MP1 due
2/11 Probability basics, Bayesian decision rule, Max-likelihood; Speaker identification
2/18 Bayesian Networks (BN) and EM algorithm
MP2 due
2/25 EM algorithm cont'd
Exam 1
3/4 Hidden Markov Models (HMM)
MP3 due
3/11 Audio/visual speech recognition
3/18 3D face modeling, analysis, and animation; MPEG 4
MP4 due
3/25 Spring Break
4/1 Image features, segmentation
Exam 2
4/8 Image/video databases, Relevance feedback
4/15 Audio scene analysis
MP5 due
4/22 Watermarking
MP6 due 4/24
4/29 MPEG-7
5/6 MP7 due
Friday May 9, 8:00-11:00am, Exam 3

ECE 417 (Multimedia Signal Processing) covers characteristics of speech and image signals; important analysis and synthesis tools for multimedia signal processing including subspace methods, Bayesian networks, hidden Markov models, and factor graphs; applications to biometrics (person identification), human-computer interaction (face and gesture recognition and synthesis), and audio-visual databases (indexing and retrieval). Emphasis on a set of MATLAB machine problems providing hands-on experience. Prerequisite: ECE 310 and ECE 313.