Content-based Indexing and Retrieval

Feature vectors and similarity measures Content-based text indexing and retrieval: term extraction and weighting, vector space model, web crawling, indexing and retrieval -Retrieval performance measures Relevance feedback and query expansion Content-based Image indexing and retrieval: -Color Features -Shape Features -Texture Features -Content-based Video indexing and retrieval: Compressed domain / Pixel domain  -Content-based Audio indexing and retrieval -MPEG-7 Standard

On completion of this course the student will be able to:

Knowledge -On completion of this course the student shall posses advanced knowledge within the area of content-based indexing and retrieval. -Posses specialized insight and good understanding of the technologies, and solutions of content based indexing and retrieval. -Possess specialized insight and good understanding of the challenges and limitations of content-based indexing and retrieval systems. -Are able to 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). -Possess specialized insight and good understanding of the research frontier in content based indexing and retrieval

Skills -The student shall be able to evaluate and compare alternative content-based retrieval indexes and similarity measures. -The student shall be experienced in designing and conducting experiments for developing, testing and evaluating content-based indexing and retrieval approaches.

General competence -Have the learning skills to continue acquiring new knowledge and skills in a manner that is largely self-directed -Are able to present the results from independent work, mastering the terminology of the field -Are able to contribute to innovative thinking and innovation processes

• Lectures
• Lab work
• E-learning

Additional information:

• The course will be offered both as an ordinary campus course (Campus Gjøvik) 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 Blackboard. Communication between the teachers and the students, and among the students, will be facilitated by the Blackboard.

Compulsory requirements:

• The portfolio will include compulsory small assignments and a bigger project and the scope and the deadlines for the assignments and the project are announced during the semester.