Leiden University Scholarly Publications

Oerlemans, A.A.J. (2011)

Content-based retrieval of visual information

Doctoral Thesis

In this dissertation, I investigate new approaches relevant to content-based image retrieval techniques. First, the MOD paradigm is proposed, a method for detecting salient points in images. These salient points are specifically designed to enhance image retrieval accuracy by maximizing distinctiveness. Second, the multi-dimensional maximum likelihood similarity measure is presented, which removes a critical limitation in prior research in this area and provides an improved method of comparing image features. Third, a texture classification method based on low dimensional constructed texture features is introduced which have very low computational complexity and would be suitable for real time video understanding or interactive search of very large image databases. The new approaches are tested on well respected international test sets containing representative imagery.

Video analysis

Texture classification

Similarity measures

Salient points

Content-based image retrieval

All authors

Oerlemans, A.A.J.

Supervisor

Kok, J.N.

Co-supervisor

Lew, M.S.

Qualification

Doctor (dr.)

Awarding Institution

Faculty of Science, Leiden University

Date

2011-12-22