Content-based retrieval of visual information

Oerlemans, A.A.J. (2011)

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