Supervised clustering algorithm based visual information features classification

Yuan Yuan; Nenghai Yu; Xuelong Li; Dacheng Tao; Zhengkai Liu

doi:10.1117/12.477206

Supervised clustering algorithm based visual information features classification

Yuan Yuan
, Nenghai Yu
, Xuelong Li
, Dacheng Tao
, Zhengkai Liu

University of Science and Technology of China

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

An intelligent image-indexing algorithm is proposed in this paper. It based on knowledge extracted from some simple single low-level image features. Two independent large image databases are built with more than 12000 images for training and test, and the experimental results show it work efficiently for high dimension database indexing. The running time is shorter than other algorithms proposed for the same purpose, and the algorithm performs even better for some certain semantic image classifications.

源语言	英语
页（从-至）	614-618
页数	5
期刊	Proceedings of SPIE - The International Society for Optical Engineering
卷	4875
期	1
DOI	https://doi.org/10.1117/12.477206
出版状态	已出版 - 2002
已对外发布	是

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title = "Supervised clustering algorithm based visual information features classification",

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AU - Tao, Dacheng

AU - Liu, Zhengkai

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N2 - An intelligent image-indexing algorithm is proposed in this paper. It based on knowledge extracted from some simple single low-level image features. Two independent large image databases are built with more than 12000 images for training and test, and the experimental results show it work efficiently for high dimension database indexing. The running time is shorter than other algorithms proposed for the same purpose, and the algorithm performs even better for some certain semantic image classifications.

AB - An intelligent image-indexing algorithm is proposed in this paper. It based on knowledge extracted from some simple single low-level image features. Two independent large image databases are built with more than 12000 images for training and test, and the experimental results show it work efficiently for high dimension database indexing. The running time is shorter than other algorithms proposed for the same purpose, and the algorithm performs even better for some certain semantic image classifications.

KW - Image indexing

KW - Machine learning

KW - Normalization

KW - Simple single feature

UR - https://www.scopus.com/pages/publications/0036449803

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Supervised clustering algorithm based visual information features classification

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