An empirical study of color-spatial retrieval techniques for large image databases

Author

Yee, Chia Yeow ; Tan, Kian-Lee ; Chua, Tat Seng ; Ooi, Beng Chin

Author_Institution

Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore, Singapore

fYear

1998

fDate

28 Jun-1 Jul 1998

Firstpage

218

Lastpage

221

Abstract

We present an experimental evaluation of three color-spatial retrieval techniques-the signature-based technique, the partition-based algorithm and the cluster-based method. The experimental study is performed on an image database consisting of 12000 images. With the proliferation of image retrieval mechanisms and the lack of extensive performance studies, the experimental results can serve as guidelines in selecting a suitable technique or designing a new technique

Keywords

database theory; image colour analysis; query processing; very large databases; visual databases; cluster-based method; color-spatial retrieval techniques; content-based image retrieval; image retrieval mechanisms; large image databases; partition-based algorithm; precision; recall; retrieval efficiency; signature-based technique; Clustering algorithms; Computer science; Content based retrieval; Guidelines; Histograms; Image databases; Image retrieval; Information retrieval; Information systems; Partitioning algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems, 1998. Proceedings. IEEE International Conference on

Conference_Location

Austin, TX

Print_ISBN

0-8186-8557-3

Type

conf

DOI

10.1109/MMCS.1998.693644

Filename

693644