A composition-based image retrieval using line feature

Date issued

2009

Journal Title

Journal ISSN

Volume Title

Publisher

Václav Skala - UNION Agency

Abstract

In this paper, we propose an image retrieval scheme that retrieves compositionally similar images with the query image from the line-used image set. To develop a new effective similarity measurement, we use line feature to discriminate in similarity, by investigating the relation between the value of the property and the degree of the compositional similarity. We have developed a similarity measure and compared effectiveness with a simple similarity measure in the sense of recall and precision. Our result proves that proposed scheme provides higher effectiveness.

Description

Subject(s)

obrazové vyhledávání, podobnost kompozice

Citation

WSCG '2009: Poster Proceedings: The 17th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 2 - 5, 2009, p. 53-56.
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