Color-WISE: A system for image similarity retrieval using color

I. K. Sethi; I. Coman; B. Day; F. Jiang; D. Li; J. Segovia-Juarez; G. Wei; B. You

doi:10.1117/12.298438

Color-WISE: A system for image similarity retrieval using color

I. K. Sethi
, I. Coman
, B. Day
, F. Jiang
, D. Li
, J. Segovia-Juarez
, G. Wei
, B. You

Computer Science

SUNY Oswego

Wayne State University

Research output: Contribution to journal › Conference article › peer-review

40 Scopus citations

Abstract

Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the use of localized dominant hue and saturation values for color-based image similarity retrieval. This scheme results in a relatively compact representation of color images for similarity retrieval. Experimental results comparing the proposed representation with global and local color histogramming are presented to show the efficacy of the suggested scheme.

Original language	English
Pages (from-to)	140-149
Number of pages	10
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3312
DOIs	https://doi.org/10.1117/12.298438
State	Published - 1998
Event	Storage and Retrieval for Image and Video Databases VI - San Jose, CA, United States Duration: Jan 28 1998 → Jan 30 1998

Keywords

Color histogramming
Color-based image retrieval
Image databases
Visual information

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10.1117/12.298438

Cite this

@article{204cbecb8a194f0080239f8a2b456a87,

title = "Color-WISE: A system for image similarity retrieval using color",

abstract = "Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the use of localized dominant hue and saturation values for color-based image similarity retrieval. This scheme results in a relatively compact representation of color images for similarity retrieval. Experimental results comparing the proposed representation with global and local color histogramming are presented to show the efficacy of the suggested scheme.",

keywords = "Color histogramming, Color-based image retrieval, Image databases, Visual information",

author = "Sethi, \{I. K.\} and I. Coman and B. Day and F. Jiang and D. Li and J. Segovia-Juarez and G. Wei and B. You",

year = "1998",

doi = "10.1117/12.298438",

language = "English",

volume = "3312",

pages = "140--149",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

note = "Storage and Retrieval for Image and Video Databases VI ; Conference date: 28-01-1998 Through 30-01-1998",

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TY - JOUR

T1 - Color-WISE

T2 - Storage and Retrieval for Image and Video Databases VI

AU - Sethi, I. K.

AU - Coman, I.

AU - Day, B.

AU - Jiang, F.

AU - Li, D.

AU - Segovia-Juarez, J.

AU - Wei, G.

AU - You, B.

PY - 1998

Y1 - 1998

N2 - Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the use of localized dominant hue and saturation values for color-based image similarity retrieval. This scheme results in a relatively compact representation of color images for similarity retrieval. Experimental results comparing the proposed representation with global and local color histogramming are presented to show the efficacy of the suggested scheme.

AB - Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the use of localized dominant hue and saturation values for color-based image similarity retrieval. This scheme results in a relatively compact representation of color images for similarity retrieval. Experimental results comparing the proposed representation with global and local color histogramming are presented to show the efficacy of the suggested scheme.

KW - Color histogramming

KW - Color-based image retrieval

KW - Image databases

KW - Visual information

UR - https://www.scopus.com/pages/publications/0032223839

U2 - 10.1117/12.298438

DO - 10.1117/12.298438

M3 - Conference article

SN - 0277-786X

VL - 3312

SP - 140

EP - 149

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

Y2 - 28 January 1998 through 30 January 1998

ER -

Color-WISE: A system for image similarity retrieval using color

Abstract

Keywords

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