A fast retrieval method for image features

Author

Lee, Jae Yeon ; Jeong, Se-Yoon ; Kim, Kyu Heon ; Chun, Byung Tae ; Bae, Younglae J.

Author_Institution

Dept. of Image Process., ETRI-Comput. & Software Technol. Lab., Taejon, South Korea

Volume

1

fYear

1999

fDate

1999

Firstpage

577

Abstract

With a very large size image database, there should be a way to search for the similar images efficiently. However, the traditional approaches that have been adopted to retrieve text or scalar values cannot be used because of the multi-dimensionality of the image feature vectors. A new retrieval method that uses one or more scalar values induced from the image vector is proposed. In the proposed method, the scalar values are independently stored as indices to the target feature vectors. With the proposed method, the searching speed is improved approximately 25 times compared to the sequential searching

Keywords

content-based retrieval; feature extraction; search problems; visual databases; content-based retrieval; fast retrieval method; image database; image feature vectors; image features; scalar values; searching speed; sequential searching; similar images; Content based retrieval; Electronic mail; Image databases; Image processing; Image recognition; Image retrieval; Information retrieval; Laboratories; Spatial databases; Tree data structures;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818480

Filename

818480