The Application of Cross-Media Retrieval Technology Based on Ontology

Abstract:

As a large number of the multimedia information emerges, the cross-media retrieval system becomes an important research focus. The cross-media retrieval system is based on the traditional content retrieval, extracting color, texture, and shape features vector of the images. A new method was carried out in this paper. Firstly, the uniform semantic representational framework was built to organize the different mode media heterogeneous characteristics. Secondly, the Ontology database representing each type of media concepts was set up. The Ontology database organizes the low level features of the multimedia objects to associate multimedia files in the semantic level. Thirdly, the cross-media retrieval algorithm based on ontology was introduced. The results of the experiment showed that this cross-media retrieval method based on the Ontology was more effective and accurate.

• Periodical: Applied Mechanics and Materials (Volumes 738-739)
• Pages: 1299-1302
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.738-739.1299
• Online since: March 2015
• Authors: Hao Zhang, Gong Wen Xu*, Wan Rong Guo, Ming Hai Liao, Chun Xiu Xu, Qian Zhao, Hong Luan Zhao
• Keywords: Cross-Media Retrieval, Heterogeneous Media, Ontology, Semantic Level

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