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Audio Processing, Video processing and Computer Vision
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Engineering
Instruction in: English
Course Code: 16508
Transcript Source: Partner Institution
Course Details: Level 400
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Neural Networks, Signals and Systems, Machine Learning I and II
DESCRIPTION
The course is divided into two main blocks absed on the signal modalities: on the one hand, image and video and, on the other, voice and audio.
In both cases, signals and their main characteristics are presented first, including certain notions of the visual and auditory systems. Next, the most common techniques for each signal processing are studied, illustrating their use in selected applications. Finally, most modern approaches are introduced, based on the application of deep learning (e.g. CNNs and RNNs), which constitute nowadays the state of the art of technology.
In both cases, signals and their main characteristics are presented first, including certain notions of the visual and auditory systems. Next, the most common techniques for each signal processing are studied, illustrating their use in selected applications. Finally, most modern approaches are introduced, based on the application of deep learning (e.g. CNNs and RNNs), which constitute nowadays the state of the art of technology.
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