Image retrieval based on color-spatial histograms

Author

Shan Zeng ; Jun Bai ; Rui Huang

Author_Institution

Coll. of Math. & Comput. Sci., Wuhan Polytech. Univ. Wuhan, Wuhan, China

fYear

2014

fDate

15-17 Nov. 2014

Firstpage

780

Lastpage

784

Abstract

A novel image retrieval method using color-spatial histograms is presented in this paper. The new method contains three phases. First, we quantize the color space by Gaussian mixture model. Second, the color-spatial histograms generated for both the query image and the images in the database based on the quantized color components and the improved spatiogram method. Finally, using color-spatial histogram as features, we compare the query image with images in the database by Jensen-Shannon divergence. Our proposed method´s availability is demonstrated by the experimental assessment on the COREL image database.

Keywords

Gaussian processes; image colour analysis; image retrieval; mixture models; COREL image database; Gaussian mixture model; Jensen-Shannon divergence; color space quantization; color-spatial histograms; image retrieval; quantized color components; query image; spatiogram method; Computational modeling; Educational institutions; Histograms; Image color analysis; Image retrieval; Quantization (signal); Color-spatial histogram; Gauss mixture model; Image retrieval; Jensen-Shannon divergence;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Informatics (ICSAI), 2014 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4799-5457-5

Type

conf

DOI

10.1109/ICSAI.2014.7009390

Filename

7009390