Image database querying using a multi-scale localized color representation

Author

Gargi, Ullas ; Kasturi, Rangachar

Author_Institution

Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA

fYear

1999

fDate

1999

Firstpage

28

Lastpage

32

Abstract

A computationally efficient method to encode the spatial concentration of colors in images based on local histogram intersection is introduced. The representation allows image matching at multiple resolutions and partial matching of image regions without requiring image segmentation or cluster approximations. The method has been tested on a heterogeneous database of 16643 images and video frames. Results of objective evaluation using manually selected ground-truth image queries as well as ground-truth video keyframe queries are presented

Keywords

distributed databases; image colour analysis; image matching; image retrieval; multimedia databases; visual databases; computationally efficient method; ground-truth video keyframe queries; heterogeneous database; image database querying; image matching; image regions; local histogram intersection; manually selected ground-truth image queries; multi-scale localized color representation; multiple resolutions; partial matching; spatial concentration; video frames; Computer science; Electrical capacitance tomography; Histograms; Image databases; Image matching; Image retrieval; Image segmentation; Pixel; Spatial databases; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Content-Based Access of Image and Video Libraries, 1999. (CBAIVL '99) Proceedings. IEEE Workshop on

Conference_Location

Fort Collins, CO

Print_ISBN

0-7695-0034-X

Type

conf

DOI

10.1109/IVL.1999.781119

Filename

781119