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Front. Inform. Technol. Electron. Eng.  2013, Vol. 14 Issue (7): 505-520    DOI: 10.1631/jzus.CIDE1304
    
High-dimensional indexing technologies for large scale content-based image retrieval: a review
Lie-fu Ai, Jun-qing Yu, Yun-feng He, Tao Guan
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; Center of Network and Computation, Huazhong University of Science and Technology, Wuhan 430074, China
High-dimensional indexing technologies for large scale content-based image retrieval: a review
Lie-fu Ai, Jun-qing Yu, Yun-feng He, Tao Guan
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; Center of Network and Computation, Huazhong University of Science and Technology, Wuhan 430074, China
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摘要： The boom of Internet and multimedia technology leads to the explosion of multimedia information, especially image, which has created an urgent need of quickly retrieving similar and interested images from huge image collections. The content-based high-dimensional indexing mechanism holds the key to achieving this goal by efficiently organizing the content of images and storing them in computer memory. In the past decades, many important developments in high-dimensional image indexing technologies have occurred to cope with the ‘curse of dimensionality’. The high-dimensional indexing mechanisms can mainly be divided into three categories: tree-based index, hashing-based index, and visual words based inverted index. In this paper we review the technologies with respect to these three categories of mechanisms, and make several recommendations for future research issues.
关键词： Tree-based index;  Hashing-based index;  Bag-of-features (BOF);  Descriptor encoding;  Inverted index    
Abstract: The boom of Internet and multimedia technology leads to the explosion of multimedia information, especially image, which has created an urgent need of quickly retrieving similar and interested images from huge image collections. The content-based high-dimensional indexing mechanism holds the key to achieving this goal by efficiently organizing the content of images and storing them in computer memory. In the past decades, many important developments in high-dimensional image indexing technologies have occurred to cope with the ‘curse of dimensionality’. The high-dimensional indexing mechanisms can mainly be divided into three categories: tree-based index, hashing-based index, and visual words based inverted index. In this paper we review the technologies with respect to these three categories of mechanisms, and make several recommendations for future research issues.
Key words: Tree-based index    Hashing-based index    Bag-of-features (BOF)    Descriptor encoding    Inverted index
收稿日期: 2012-12-29 出版日期: 2013-07-05
CLC:  TP391.7  
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Lie-fu Ai
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引用本文:

Lie-fu Ai, Jun-qing Yu, Yun-feng He, Tao Guan. High-dimensional indexing technologies for large scale content-based image retrieval: a review. Front. Inform. Technol. Electron. Eng., 2013, 14(7): 505-520.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.CIDE1304    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2013/V14/I7/505

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