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 retrieva

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

Forelesninger|Lab.øvelser|Nettstøttet læring

Utfyllende informasjon:

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 Fronter. Communication between the teachers and the students, and among the students, will be facilitated by the Fronter.

Obligatoriske arbeidskrav:

Reports from the individual laboratory assignments must be handed in no later than two weeks after the laboratory work is scheduled to take place.