Biased discriminant analysis with feature line embedding for interactive image retrieval

Yu Chen Wang; Chin Chuan Han; Chang Hsing Lee; Kuo Chin Fan

doi:10.1109/MVA.2015.7153119

Biased discriminant analysis with feature line embedding for interactive image retrieval

Yu Chen Wang, Chin Chuan Han, Chang Hsing Lee, Kuo Chin Fan

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

1 Scopus citations

Abstract

The problem of content based image retrieval is to narrow down the gap between low-level image features and high-level semantic concepts. In this paper, a biased discriminant analysis with feature line embedding (FLE-BDA) is proposed for performance enhancement in the relevance feedback scheme. We try to maximize the margin between relevant and irrelevant samples at local neighborhoods. In the reduced subspace, relevant images would be closed as possible; while irrelevant samples are far away from relevant samples. The evaluation results on dataset SIMPLIcity are given to show the performance of the proposed method.

Original language	English
Title of host publication	Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9784901122153
DOIs	https://doi.org/10.1109/MVA.2015.7153119
State	Published - 8 Jul 2015
Event	14th IAPR International Conference on Machine Vision Applications, MVA 2015 - Tokyo, Japan Duration: 18 May 2015 → 22 May 2015

Publication series

Name	Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015

Conference

Conference	14th IAPR International Conference on Machine Vision Applications, MVA 2015
Country/Territory	Japan
City	Tokyo
Period	18/05/15 → 22/05/15

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10.1109/MVA.2015.7153119

Cite this

Wang, Y. C., Han, C. C., Lee, C. H., & Fan, K. C. (2015). Biased discriminant analysis with feature line embedding for interactive image retrieval. In Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015 (pp. 1-4). Article 7153119 (Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MVA.2015.7153119

Wang, Yu Chen ; Han, Chin Chuan ; Lee, Chang Hsing et al. / Biased discriminant analysis with feature line embedding for interactive image retrieval. Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1-4 (Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015).

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title = "Biased discriminant analysis with feature line embedding for interactive image retrieval",

abstract = "The problem of content based image retrieval is to narrow down the gap between low-level image features and high-level semantic concepts. In this paper, a biased discriminant analysis with feature line embedding (FLE-BDA) is proposed for performance enhancement in the relevance feedback scheme. We try to maximize the margin between relevant and irrelevant samples at local neighborhoods. In the reduced subspace, relevant images would be closed as possible; while irrelevant samples are far away from relevant samples. The evaluation results on dataset SIMPLIcity are given to show the performance of the proposed method.",

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Wang, YC, Han, CC, Lee, CH & Fan, KC 2015, Biased discriminant analysis with feature line embedding for interactive image retrieval. in Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015., 7153119, Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 14th IAPR International Conference on Machine Vision Applications, MVA 2015, Tokyo, Japan, 18/05/15. https://doi.org/10.1109/MVA.2015.7153119

Biased discriminant analysis with feature line embedding for interactive image retrieval. / Wang, Yu Chen; Han, Chin Chuan; Lee, Chang Hsing et al.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1-4 7153119 (Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015).

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

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Wang YC, Han CC, Lee CH, Fan KC. Biased discriminant analysis with feature line embedding for interactive image retrieval. In Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1-4. 7153119. (Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015). doi: 10.1109/MVA.2015.7153119

Biased discriminant analysis with feature line embedding for interactive image retrieval

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