An image retrieval algorithm using multiple query images

Author

Tang, Jinshan ; Acton, Scott

Author_Institution

Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA

Volume

1

fYear

2003

fDate

1-4 July 2003

Firstpage

193

Abstract

In this paper, an image retrieval algorithm using multiple query images is proposed. The algorithm is based on multihistogram intersection techniques. For each query image, a color histogram and a texture histogram are extracted. Then multihistogram intersection is used to measure the similarity between the query images and each image in the database. The ranking in similarity is used to determine the images to be retrieved. This approach can be applied to image retrieval with relevance feedback and to component based image retrieval. Results are provided showing the improvement in precision that is afforded by the multiexample retrieval paradigm.

Keywords

content-based retrieval; feature extraction; image colour analysis; image retrieval; color histogram; content-based image retrieval; feature extraction; image retrieval algorithm; multiexample retrieval paradigm; multihistogram intersection techniques; multiple query images; texture histogram; Bayesian methods; Color; Content based retrieval; Explosions; Histograms; Image databases; Image retrieval; Information retrieval; Neural networks; Software libraries;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on

Print_ISBN

0-7803-7946-2

Type

conf

DOI

10.1109/ISSPA.2003.1224673

Filename

1224673