Image retrieval using a novel relevance feedback for edge histogram descriptor of MPEG-7

Su Jung Park; Dong Kwon Park; Soo Jun Park; Chee Sun Won

doi:10.1109/ICCE.2001.935342

Image retrieval using a novel relevance feedback for edge histogram descriptor of MPEG-7

Su Jung Park
, Dong Kwon Park
, Soo Jun Park
, Chee Sun Won

Department of Electronics & Electrical Engineering

Dongguk University
Electronics and Telecommunications Research Institute

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

In this paper, a relevance feedback method is proposed to improve the retrieval performance of the MPEG-7 edge histogram descriptor. Specifically, by updating the query point and the weighting factors simultaneously, we can reduce the convergence speed of the relevance feedback retrieval Experimental results show that the proposed method improves the performance significantly for natural and clip art images.

Original language	English
Pages (from-to)	354-355
Number of pages	2
Journal	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
DOIs	https://doi.org/10.1109/ICCE.2001.935342
State	Published - 2001

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title = "Image retrieval using a novel relevance feedback for edge histogram descriptor of MPEG-7",

abstract = "In this paper, a relevance feedback method is proposed to improve the retrieval performance of the MPEG-7 edge histogram descriptor. Specifically, by updating the query point and the weighting factors simultaneously, we can reduce the convergence speed of the relevance feedback retrieval Experimental results show that the proposed method improves the performance significantly for natural and clip art images.",

author = "Park, \{Su Jung\} and Park, \{Dong Kwon\} and Park, \{Soo Jun\} and Won, \{Chee Sun\}",

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doi = "10.1109/ICCE.2001.935342",

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journal = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

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AU - Park, Soo Jun

AU - Won, Chee Sun

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N2 - In this paper, a relevance feedback method is proposed to improve the retrieval performance of the MPEG-7 edge histogram descriptor. Specifically, by updating the query point and the weighting factors simultaneously, we can reduce the convergence speed of the relevance feedback retrieval Experimental results show that the proposed method improves the performance significantly for natural and clip art images.

AB - In this paper, a relevance feedback method is proposed to improve the retrieval performance of the MPEG-7 edge histogram descriptor. Specifically, by updating the query point and the weighting factors simultaneously, we can reduce the convergence speed of the relevance feedback retrieval Experimental results show that the proposed method improves the performance significantly for natural and clip art images.

UR - https://www.scopus.com/pages/publications/0034841909

U2 - 10.1109/ICCE.2001.935342

DO - 10.1109/ICCE.2001.935342

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EP - 355

JO - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

JF - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

ER -

Image retrieval using a novel relevance feedback for edge histogram descriptor of MPEG-7

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