The aim of this subject is to describe automatic tools for analysis of text, speech, audio, image and video in the Big Data framework, according to a Project-Based Learning approach.
Additionally, some sessions of the subject will be devoted to discuss an issue of great social impact, such as health, from the perspective of data analytics.
The subject will have a practical orientation, combining theoretical and lab sessions, so that the students will be able to do some practical work on which they will be evaluated. Technologies will be described first; then, their applications, combining theory with practical work on the lab when possible. Emphasis will be placed on applications in the Big Data framework, with the aim of motivating the use of automatic analysis tools from a realistic perspective.
The syllabus is as follows. It focuses on multimedia information analytics (vs. analysis). In this field there is an extensive use of mathematics and statistics to extract valuable knowledge from data¿data analysis, going beyond and using the insights from data to generate recommendations, to guide a decision making process, etc.
0.- Course Presentation
1.- Image and Video Analytics
1.1.- Basic concepts in image and video processing
1.2.- Image categorization
1.3.- An introduction to CNNs for image and video analytics
2.- Speech Analytics
2.1.- Fundamentals of Speech Analysis
2.2.- Speech Technologies
2.3.- Biometrics (Speaker Recognition)
3.- Big Data in Health
3.1.- From Ambulatory Monitoring to the Healthy Apps