DocumentCode :
790509
Title :
Content-based image retrieval using Legendre chromaticity distribution moments
Author :
Yap, P.-T. ; Paramesran, R.
Author_Institution :
Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
Volume :
153
Issue :
1
fYear :
2006
Firstpage :
17
Lastpage :
24
Abstract :
It is a well-known fact that the direct storing and comparison of the histogram for the purpose of content-based image retrieval (CBIR) is inefficient in terms of memory space and query processing time. It is shown that the set of Legendre chromaticity distribution moments (LCDM) provides a compact, fixed-length and computation effective representation of the colour contents of an image. Only a small fixed number of compact LCDM features need to be stored to effectively characterise the colour content of an image. The need to store the whole chromaticity histogram is circumvented. Consequently the time involved in database querying is reduced. It is also shown that LCDM can be computed directly from the chromaticity space without first having to evaluate the chromaticity histogram.
Keywords :
content-based retrieval; image colour analysis; image representation; image retrieval; Legendre chromaticity distribution moment; chromaticity histogram; content-based image retrieval; database querying; image color analysis; image representation; query processing;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20045064
Filename :
1576412
Link To Document :
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