Lectures

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

Useful Matlab Tutorial MP1 (due February 03)MP2 (due February 17)MP3 (due March 03)MP4 (due March 17)MP5 (due April 07)MP6 (due April 21)MP7 (due May 05)

Office Hours:
Friday 4-5:30pm, 3001 ECEB

Theater, because of its nature, both text, images, multimedia effects, has a wider base of communication with an audience. That's why I call it the most social of the various art forms. Wole Soyinka

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.