Spatial color histograms for content-based image retrieval

Author

Rao, Aibing ; Srihari, Rohini K. ; Zhang, Zhongfei

Author_Institution

Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA

fYear

1999

fDate

1999

Firstpage

183

Lastpage

186

Abstract

The color histogram is an important technique for color image database indexing and retrieval. In this paper, the traditional color histogram is modified to capture the spatial layout information of each color, and three types of spatial color histograms are introduced: annular, angular and hybrid color histograms. Experiments show that, with a proper trade-off between the granularity in the color and spatial dimensions, these histograms outperform both the traditional color histogram and some existing histogram refinements such as the color coherent vector

Keywords

content-based retrieval; data visualisation; database indexing; image colour analysis; software performance evaluation; statistics; visual databases; angular color histograms; annular color histograms; color coherent vector; color dimension granularity; color image database indexing; content-based image retrieval; histogram refinements; hybrid color histograms; performance; spatial color histograms; spatial dimension granularity; spatial layout information; Content based retrieval; Histograms; Image analysis; Image color analysis; Image recognition; Image retrieval; Indexing; Mathematical model; Statistical distributions; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on

Conference_Location

Chicago, IL

ISSN

1082-3409

Print_ISBN

0-7695-0456-6

Type

conf

DOI

10.1109/TAI.1999.809784

Filename

809784