ECE398BD: Audio and Visual Analytics (Lectures)

Lectures

Lecture	Topic	Notes
Lecture 1	Physics of audio and visual signals. Signal acquisition and sampling	notes
Lecture 2	Audio spectral analysis: windowing, DFT, short-time Fourier transform	notes
Lecture 3	Clustering of audio and visual features. Audio and image segmentation	notes, speaker_recognition
Lecture 4	Audio content identification. Example: Shazam system	notes, shazam1, shazam
Lecture 5	Visual feature detection and description. SIFT	notes, SIFT
Lecture 6	Visual search and correspondence by feature matching	notes, Spatial Pyramid Matching, Histogram of Oriented Gradients
Lecture 7	Audio and visual recognition using deep learning	notes Deep Learning paper
Lecture 8	Video analytics: background modeling and subtraction	notes Background Subtraction
Lecture 9	Video analytics: motion detection and tracking	notes YOLO KCF Tracking
Lecture 10	Review of audio-visual analytics	notes

and many more videos here