A fuzzy feature clustering with relevance feedback approach to content-based image retrieval

Yo Ping Huang; Tsun Wei Chang; Chi Zhan Huang

doi:10.1109/VECIMS.2003.1227030

A fuzzy feature clustering with relevance feedback approach to content-based image retrieval

Yo Ping Huang
, Tsun Wei Chang
, Chi Zhan Huang

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

Abstract

The increasing number of digitized images required an efficient image retrieval system. In this paper, we demonstrate the fundamental principles, implementation methods, performance evaluations, and experimental results from the proposed model. We present a region-based prototype image retrieval system named FuzzyImage. The system is characterized by feature vectors. First, we segment an image into regions depending on clustering similar feature vectors by fuzzy c-means. Next, a similar measurement is used to evaluate the similarity between the query image and incorporated regions. The users can select the most interesting regions from 5 sample images that pop-up, and by feedback to the system. Based on the selected individual regions of query images, the overall similarity helps filter out irrelevant images in a database after relevance feedback and enables a simple user-oriented query interface for a region-based image retrieval system. This algorithm is implemented and tested on general-purpose images. This project makes three main contributions to a region-based CBIR system. First, a region segmentation method is employed in the FuzzyImage system. Second, this system takes the user's intuition into consideration and designs a user-oriented interface to directly search the database. Thirdly, we evaluate retrieval precision of the system to support this theoretical claim.

Original language	English
Title of host publication	VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	57-62
Number of pages	6
ISBN (Electronic)	0780377850, 9780780377851
DOIs	https://doi.org/10.1109/VECIMS.2003.1227030
State	Published - 2003
Event	2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS 2003 - Lugano, Switzerland Duration: 27 Jul 2003 → 29 Jul 2003

Publication series

Name	VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems

Conference

Conference	2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS 2003
Country/Territory	Switzerland
City	Lugano
Period	27/07/03 → 29/07/03

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

Keywords

Cellular neural networks
Computer science
Content based retrieval
Electronic mail
Feature extraction
Feedback
Image databases
Image retrieval
Information retrieval
Spatial databases

Access to Document

10.1109/VECIMS.2003.1227030

Cite this

Huang, Y. P., Chang, T. W., & Huang, C. Z. (2003). A fuzzy feature clustering with relevance feedback approach to content-based image retrieval. In VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems (pp. 57-62). Article 1227030 (VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VECIMS.2003.1227030

Huang, Yo Ping ; Chang, Tsun Wei ; Huang, Chi Zhan. / A fuzzy feature clustering with relevance feedback approach to content-based image retrieval. VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 57-62 (VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems).

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abstract = "The increasing number of digitized images required an efficient image retrieval system. In this paper, we demonstrate the fundamental principles, implementation methods, performance evaluations, and experimental results from the proposed model. We present a region-based prototype image retrieval system named FuzzyImage. The system is characterized by feature vectors. First, we segment an image into regions depending on clustering similar feature vectors by fuzzy c-means. Next, a similar measurement is used to evaluate the similarity between the query image and incorporated regions. The users can select the most interesting regions from 5 sample images that pop-up, and by feedback to the system. Based on the selected individual regions of query images, the overall similarity helps filter out irrelevant images in a database after relevance feedback and enables a simple user-oriented query interface for a region-based image retrieval system. This algorithm is implemented and tested on general-purpose images. This project makes three main contributions to a region-based CBIR system. First, a region segmentation method is employed in the FuzzyImage system. Second, this system takes the user's intuition into consideration and designs a user-oriented interface to directly search the database. Thirdly, we evaluate retrieval precision of the system to support this theoretical claim.",

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Huang, YP, Chang, TW & Huang, CZ 2003, A fuzzy feature clustering with relevance feedback approach to content-based image retrieval. in VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems., 1227030, VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, Institute of Electrical and Electronics Engineers Inc., pp. 57-62, 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS 2003, Lugano, Switzerland, 27/07/03. https://doi.org/10.1109/VECIMS.2003.1227030

A fuzzy feature clustering with relevance feedback approach to content-based image retrieval. / Huang, Yo Ping; Chang, Tsun Wei; Huang, Chi Zhan.
VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems. Institute of Electrical and Electronics Engineers Inc., 2003. p. 57-62 1227030 (VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Huang YP, Chang TW, Huang CZ. A fuzzy feature clustering with relevance feedback approach to content-based image retrieval. In VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems. Institute of Electrical and Electronics Engineers Inc. 2003. p. 57-62. 1227030. (VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems). doi: 10.1109/VECIMS.2003.1227030

A fuzzy feature clustering with relevance feedback approach to content-based image retrieval

Abstract

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Keywords

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