Multimedia Information Retrieval and Management
Lecturer:
Dr. Vladimir Risojević,
Learning Outcomes:
At the end of this course students will be able to:
- Describe the principle components of a multimedia information retrieval system and how they differ from other retrieval systems, most notably text information retrieval systems;
- State the computational principles underlying both current and emerging multimedia information retrieval systems;
- Discuss the importance of the human perception of multimedia data for the purpose of content-based retrieval;
- Understand standards for description and retrieval of multimedia content.
Content Description:
Feature extraction from multimedia content: video, audio and text. Multimedia content description at structural (objective) and semantic (subjective) levels. Shot-boundary detection. Extraction and description of key frames. Content-based retrieval. Feature vector reduction. Semantic gap. Retrieval with relevance feedback. Retrieval using integrated objective and subjective features. Standards for description and retrieval of multimedia content.