ECE 417 Multimedia Signal Processing, Fall 2023 ================================================================ 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 python machine problems providing hands-on experience. 4 undergraduate hours. 4 graduate hours. Prerequisites: (1) a course in digital signal processing, such as `ECE 310 `_ or `ECE 401 `_, and (2) a course in random variables, such as `ECE 313 `_ or `CS 361 `_ or `STAT 400 `_. .. toctree:: :maxdepth: 1 :caption: Contents: lectures officehours hw mp exams grades On-line Tools ------------- * `CampusWire `_ will be used for on-line question answering. If you need the code to enter this site, send an e-mail to the course instructors. * `Gradescope `_ will be used to submit all homework and machine problems, and will be used to grade exams. The code to enter this site will be posted on CampusWire. * Our logo this semester is an `image of sound-on-film uploaded by Rotareneg `_.