Expected learning outcomes
On completion of this course the student shall have comprehension of the technologies and issues related to content-based indexing and retrieval solutions and shall have understanding of the challenges and limitations of content-based indexing and retrieval systems. The student shall be able to identify and evaluate the use of content-based features in indexing and retrieval of various types of media content (such as text, images, audio, and video). The student shall be able to evaluate and compare alternative content-based retrieval indexes and similarity measures. In addition, the student shall be experienced in designing and conducting experiments for testing and evaluating content-based indexing and retrieval approaches.
- Feature vectors and similarity measures
- Content-based text indexing and retrieval (term extraction and weighting, vector space model, web crawling, indexing and retrieval)
- Color-based image indexing and retrieval
- Non-color-based image indexing and retrieval
- Content-based audio indexing and retrieval
- Content-based video indexing and retrieval
- Retrieval performance
- Relevance feedback and query expansion
Net Support Learning
Teaching Methods (additional text)
The course will be offered both as an ordinary campus course and as a course that is offered in a flexible way to off-campus students. Lecture notes, e-lectures, laboratory work, and other types of e-learning material will be offered through an LMS. Communication between the teachers and the students, and among the students, will be facilitated by the LMS.
Form(s) of Assessment
Written exam, 4 hours
Evaluation of Laboratory Ecercise(s)
Form(s) of Assessment (additional text)
Exam counts 70%. Reports from laboratory work counts 30%. Each part must be passed individually.
Alphabetical Scale, A(best) – F (fail)
Internal and external examiner evaluates the exam. Internal examiner evaluates the laboratory reports.
Written exam: ordinary re-sit examination
Reports from the individual laboratory assignments must be handed in no later than two weeks after the laboratory work is scheduled to take place.
- Manning, Raghavan, Schütze: Introduction to Information Retrieval, Cambridge University Press. 2008, (http://www-csli.stanford.edu/~schuetze/information-retrieval-book.html)
- Lecture notes and handouts.
Replacement course for
Parts of 4491 Databases for elektronic publishing