Library and Information Service >
2013 >Issue 07: 101 - 105
Research on Cross-media Retrieval Method in Digital Library Based on Semantic Association Mining
Received date: 2012-11-07
Revised date: 2013-02-27
Online published: 2013-04-05
This paper designed a cross-media retrieval algorithm based on semantic association mining for the shortcomings that the current cross-media retrieval cannot use the latent semantic association efficiently among various media features and solve the problems of curse of dimensionality and semantic gap. The proposed algorithm mainly includes semantic association mining, cross-media ontology dynamic constructing and cross-media semantic similarity computing. It is demonstrated that this algorithm can efficiently improve the accuracy and efficiency of cross-media retrieval, and meet users' needs of cross-media retrieval to some extent.
Ming Junren , He Chao . Research on Cross-media Retrieval Method in Digital Library Based on Semantic Association Mining[J]. Library and Information Service, 2013 , (07) : 101 -105 . DOI: 10.7536/j.issn.0252-3116.2013.07.018
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