Image indexing using weighted color histogram

Author

Park, Du-Sik ; Park, Jong-Seung ; Kim, TaeYong ; Han, Joon Hee

Author_Institution

Signal Process. Lab., Samsung AIT, Yongin, South Korea

fYear

1999

fDate

1999

Firstpage

909

Lastpage

914

Abstract

Image indexing is the process of image retrieval from databases of images or videos based on their contents. Specifically histogram-based algorithms are considered to be effective for color image indexing. We suggest a new method of color space quantization in the CIELUV color space, named weighted LUV quantization. With this method, each bin in the LUV space has a different weighting factor, which is applied to the histogram intersection. The weighted LUV histogram intersection provides the advantage of perceptual uniformity of the CIELUV color space. An additional advantage is the consideration of perceptual sensitivity to more saturated colors by the use of a weighting factor

Keywords

content-based retrieval; database indexing; image colour analysis; quantisation (signal); statistical analysis; visual databases; CIELUV color space; bin weighting; color space quantization; contents; histogram intersection; histogram-based algorithms; image databases; image indexing; image retrieval; perceptual sensitivity; perceptual uniformity; saturated colors; video databases; weighted LUV quantization; weighted color histogram; Computer science; Data engineering; Histograms; Humans; Image databases; Image retrieval; Indexing; Information retrieval; Quantization; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 1999. Proceedings. International Conference on

Conference_Location

Venice

Print_ISBN

0-7695-0040-4

Type

conf

DOI

10.1109/ICIAP.1999.797711

Filename

797711