Content based image retrieval using multiscale top points : a feasibility study

F.M.W. Kanters, B. Platel, L.M.J. Florack, B.M. Haar Romeny, ter

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

13 Citations (Scopus)


A feasibility study for a new method for content based image retrieval is presented. First, an image representation using multiscale top points is introduced. This representation is validated using a minimal variance reconstruction algorithm. The image retrieval problem can now be translated into comparing distances between point sets. For this purpose the proportional transportation distance (PTD) is used. A method is proposed using multiscale top points and their reconstruction coefficients in the PTD to define these distances between images. We present some experiments with promising results on a database with face images
Original languageEnglish
Title of host publicationScale-space methods in computer vision : international conference, Isle of Skye, UK, June 10-12, 2003 : proceedings / Ed. Lewis D. Griffin, Martin Lillholm
Place of PublicationBerlin, Germany
ISBN (Print)3-540-40368-X
Publication statusPublished - 2003

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743


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