The Design and Implementation of Image Information Retrieval

Author

Xu, Hongbo ; Yao, Nianmin ; Hu, Wen ; Pan, Haiwei ; Gao, Xiang

Author_Institution

Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China

fYear

2012

fDate

11-13 Aug. 2012

Firstpage

1547

Lastpage

1550

Abstract

When an image database is queried with a particular example image ("show me similar images"), the corresponding feature vector is computed and the most similar feature vectors from the database are searched to display the most similar images in the database. This paper presents the design and implementation of a high-dimensional index application to facilitate the speedy searching in feature based image information retrieval, and the improvement for the k nearest neighbor query algorithm based on X-tree which is designed for high-dimensional indexing. Finally the performance evaluations are presented to show the merit of the algorithm.

Keywords

database indexing; image retrieval; performance evaluation; tree data structures; visual databases; X-tree; feature vector; high-dimensional index application; image database querying; image information retrieval design; k-nearest neighbor query algorithm; performance evaluation; Algorithm design and analysis; Feature extraction; Indexing; Information retrieval; Measurement; Vectors; X-tree; feature vector; high-dimensional index; image information retrieval; nearest neighbor query;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Service System (CSSS), 2012 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-0721-5

Type

conf

DOI

10.1109/CSSS.2012.387

Filename

6394626