Multimedia Data Analysis

Master's programme(s):
MSc in Data Science
Course code(s):

DSE04

Instructors:
Nikolaos Vretos, Paraskevas Koukaras
Course type:

Elective

Semester:

2

Learning outcomes:

On completing the course, the student will be able to:

  • Use tools for multimedia information analysis.
  • Extract meaningful features from different types of multimedia data.
  • Be able to implement semantic multimedia content classification and annotation.
  • Apply speech and speaker recognition techniques.
  • Know how to perform video indexing and summarization.
General competences:
  • Search for, analysis and synthesis of data and information, with the use of the necessary technology
  • Decision Making
  • Teamwork
  • Production of free, creative, and inductive thinking
Syllabus:

The course introduces fundamental concepts and tools related to Multimedia Data Analysis:

  • Intelligent tools and techniques for multimedia information analysis.
  • Semantic content analysis and annotation.
  • Feature extraction.
  • Multimedia information processing.
  • Video summarization and indexing.
  • Multimedia databases.
  • Multimedia data applications and future trends.
  • Cross-modal access to information
Full course outline (PDF):
PDF