Color image indexing using BTC

Author

Qiu, Guoping

Author_Institution

Sch. of Comput. Sci., Univ. of Nottingham, UK

Volume

12

Issue

1

fYear

2003

fDate

1/1/2003 12:00:00 AM

Firstpage

93

Lastpage

101

Abstract

This paper presents a new application of a well-studied image coding technique, namely block truncation coding (BTC). It is shown that BTC can not only be used for compressing color images, it can also be conveniently used for content-based image retrieval from image databases. From the BTC compressed stream (without performing decoding), we derive two image content description features, one termed the block color co-occurrence matrix (BCCM) and the other block pattern histogram (BPH). We use BCCM and BPH to compute the similarity measures of images for content-based image retrieval applications. Experimental results are presented which demonstrate that BCCM and BPH are comparable to similar state of the art techniques.

Keywords

content-based retrieval; data compression; image coding; image colour analysis; image retrieval; matrix algebra; visual databases; block color co-occurrence matrix; block pattern histogram; block truncation coding; color image compression; color image indexing; content-based image retrieval; image coding; image content description features; image databases; image similarity measures; Color; Content based retrieval; Decoding; Histograms; Image coding; Image databases; Image retrieval; Indexing; Information retrieval; Streaming media;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2002.807356

Filename

1187364