Biased discriminant analysis with feature line embedding for interactive image retrieval

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

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1-4
頁數4
ISBN(電子)9784901122153
DOIs
出版狀態已出版 - 8 7月 2015
事件14th IAPR International Conference on Machine Vision Applications, MVA 2015 - Tokyo, Japan
持續時間: 18 5月 201522 5月 2015

出版系列

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

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???event.eventtypes.event.conference???14th IAPR International Conference on Machine Vision Applications, MVA 2015
國家/地區Japan
城市Tokyo
期間18/05/1522/05/15

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