Evaluation of an IGA-based image retrieval system using wavelet coefficients

Hideyuki Takagi; Sung Bae Cho; Toshihiko Noda

Evaluation of an IGA-based image retrieval system using wavelet coefficients

Hideyuki Takagi, Sung Bae Cho, Toshihiko Noda

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper, we evaluate the performance of an interactive genetic algorithm (IGA)-based image retrieval system with a subjective test. First, the IGA-based system that retrieves images based on wavelet analysis is introduced. Second, a psychological scale space is constructed to quantitatively express mental images to handle subjective retrieval. Third, the IGA-based system is compared with a random search-based system using the psychological space and a subjective test. The two sign tests and a statistical test have shown that the IGA-based system is significantly quicker in image retrieval than a random search-based image retrieval system.

Original language	English
Pages	III-1775 - III-1780
Publication status	Published - Dec 1 1999
Event	Proceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea Duration: Aug 22 1999 → Aug 25 1999

Other

Other	Proceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
City	Seoul, South Korea
Period	8/22/99 → 8/25/99

All Science Journal Classification (ASJC) codes

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

Cite this

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abstract = "In this paper, we evaluate the performance of an interactive genetic algorithm (IGA)-based image retrieval system with a subjective test. First, the IGA-based system that retrieves images based on wavelet analysis is introduced. Second, a psychological scale space is constructed to quantitatively express mental images to handle subjective retrieval. Third, the IGA-based system is compared with a random search-based system using the psychological space and a subjective test. The two sign tests and a statistical test have shown that the IGA-based system is significantly quicker in image retrieval than a random search-based image retrieval system.",

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year = "1999",

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N2 - In this paper, we evaluate the performance of an interactive genetic algorithm (IGA)-based image retrieval system with a subjective test. First, the IGA-based system that retrieves images based on wavelet analysis is introduced. Second, a psychological scale space is constructed to quantitatively express mental images to handle subjective retrieval. Third, the IGA-based system is compared with a random search-based system using the psychological space and a subjective test. The two sign tests and a statistical test have shown that the IGA-based system is significantly quicker in image retrieval than a random search-based image retrieval system.

AB - In this paper, we evaluate the performance of an interactive genetic algorithm (IGA)-based image retrieval system with a subjective test. First, the IGA-based system that retrieves images based on wavelet analysis is introduced. Second, a psychological scale space is constructed to quantitatively express mental images to handle subjective retrieval. Third, the IGA-based system is compared with a random search-based system using the psychological space and a subjective test. The two sign tests and a statistical test have shown that the IGA-based system is significantly quicker in image retrieval than a random search-based image retrieval system.

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Y2 - 22 August 1999 through 25 August 1999

ER -

Evaluation of an IGA-based image retrieval system using wavelet coefficients

Abstract

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All Science Journal Classification (ASJC) codes

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