Partial image matching by measures from connected color regions

Author

Yong Kim, Tae ; Han, Joon H.

Author_Institution

Graduate Sch. of Adv. Imaging Sci. Multimedia & Film, Chungang Univ., Seoul, South Korea

Volume

1

fYear

2000

fDate

2000

Firstpage

367

Abstract

Color information is widely used in content-based image indexing and retrieval, but the information is global, which means that it is computed over an entire image. Thus it is not proper to use it in image indexing where local information is needed. As a method of providing local information, we introduce measures computed from connected color regions. In a connected color region, the color density and maximum co-occurrence color probability are calculated. The measures are used in retrieving an image that contains a partial image which is given as a query

Keywords

content-based retrieval; database indexing; image colour analysis; image matching; probability; visual databases; color density; color information; connected color regions; content-based image indexing; content-based image retrieval; local information; maximum co-occurrence color probability; partial image matching; Computer science; Content based retrieval; Histograms; Image matching; Image retrieval; Indexing; Information retrieval; Marine vehicles; Probability; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on

Conference_Location

New York, NY

Print_ISBN

0-7803-6536-4

Type

conf

DOI

10.1109/ICME.2000.869617

Filename

869617