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.

Contents:

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.

  • Lectures can be watched online in two ways:

    • Synchronously, using the zoom link posted in CampusWire

    • Asynchronously on Media Space

  • Our logo this semester is an image of sound-on-film uploaded by Rotareneg.