At the end of this course, the students; 1) Know fundamentals of digital technology. 2) Know textual, audio, image, and video data representations. 3) Describe lossless and losy compression algorithms. 4) Describe main components of traditional and content-based retrieval systems. 5) Know data structures and techniques for similarity-based search. 6) Perform performance evaluations of information retrieval systems.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Fundamental Concepts of Digital Technology. Textual Data Representation. Audio/Visual Data Representation and Processing Compression Algorithms. Traditional Information Retrieval Systems. Content-based Information Retrieval Systems. Efficient Data Structures and Techniques for Similarity Searching. Evaluating Retrieval Systems.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Fundamental Concepts of Digital Technology
2nd Week
Textual Data Representation
3rd Week
Textual Data Representation
4th Week
Audio/Visual Data Representation and Processing
5th Week
Audio/Visual Data Representation and Processing
6th Week
Compression Algorithms
7th Week
Compression Algorithms
8th Week
Mid-term
9th Week
Traditional Information Retrieval Systems
10th Week
Content-based Information Retrieval Systems
11th Week
Content-based Information Retrieval Systems
12th Week
Efficient Data Structures and Techniques for Similarity Searching
13th Week
Evaluating Retrieval Systems
14th Week
Evaluating Retrieval Systems
RECOMENDED OR REQUIRED READING
1. Subrahmanian, V.S., "Principles of Multimedia Database Systems", MKP, (1998) 2. Lu, G., "Multimedia Database Management Systems", Artech House, (1999). 3. Burg. J., "The Science of Digital Media", Prentice Hall, (2009).