Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
复制标题
对图像数据进行建模，以便在大型通用图像数据库中进行有效索引和检索
DOI：
10.1109/tkde.2008.56
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发表时间：
2008-11
影响因子：
8.9
通讯作者：
Xiaoyan Li
中科院分区：
文献类型：
--
作者：
Lidan Shou;Gang Chen(陈刚);Tianlei Hu;Jinxiang Dong;Xiaoyan Li
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by seamlessly exploiting the synergy of both visual feature processing and semantic relevance computation in a new way, and provides improved query efficiency and effectiveness for large general image databases. Our main contributions are as follows: we design novel data structures, namely, a lexical hierarchy, an image-semantic hierarchy, and a number of atomic semantic domains, to capture the semantics and the features of the database, and to provide the indexing scheme. We present a novel image query algorithm based on the proposed structures. In addition, we propose a novel term expansion mechanism to improve the lexical processing. Our extensive experiments indicate that our proposed techniques are effective in achieving high runtime performance with improved retrieval accuracy. The experiments also show that the proposed method has good scalability.
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DOI：
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发表时间：
1995-05
期刊：
--
影响因子：
--
作者：
W. Bruce Croft;Robert Cook;D. Wilder
通讯作者：
W. Bruce Croft;Robert Cook;D. Wilder
DOI：
10.1007/978-981-10-6759-4
发表时间：
2017
期刊：
--
影响因子：
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作者：
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通讯作者：
Dr. Vipin Tyagi
影响因子：
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作者：
James Ze Wang;G. Wiederhold;O. Firschein;S. Wei
通讯作者：
James Ze Wang;G. Wiederhold;O. Firschein;S. Wei
DOI：
--
发表时间：
--
期刊：
--
影响因子：
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作者：
Jia Li;James Ze Wang
通讯作者：
Jia Li;James Ze Wang
DOI：
10.1007/978-1-4471-2099-5_7
发表时间：
1994-08
期刊：
--
影响因子：
--
作者：
E. Voorhees
通讯作者：
E. Voorhees