Local color and texture extraction and spatial query

Author

Smith, John R. ; Chang, Shih-Fu

Author_Institution

Center for Image Technol. for New Media, Columbia Univ., New York, NY, USA

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

1011

Abstract

In this paper we present a unified system for the extraction, representation and query of spatially localized color and texture regions. The system utilizes a back-projection of binary feature sets to identify and extract prominent regions. The binary feature sets provide an effective and easily indexable representation of color and texture. We also provide a mechanism for integrating features by combining the binary color and texture feature sets. This enables the extraction and representation of joint color and texture regions. Since all extracted regions are spatially localized, in image database queries the user can specify the locations and spatial boundaries of regions. We present the unified color and texture back-projection method and describe its implementation in the VisualSEEk content-based image retrieval system

Keywords

feature extraction; image colour analysis; image representation; image segmentation; image texture; indexing; information retrieval; query formulation; visual databases; VisualSEEk content-based image retrieval system; back-projection; binary feature sets; image database queries; index; local color extraction; representation; spatial boundaries; spatial query; texture extraction; Content based retrieval; Data mining; Feature extraction; Histograms; Image coding; Image databases; Image retrieval; Indexing; Information retrieval; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560998

Filename

560998