A Novel Emergency Cross-Media Information Retrieval Model

Existing information retrieval approaches provide only limited capabilities to capture the query requirements. However, a complete understanding of search requirements is essential for improving the effectiveness of retrieval in the emergency management field. To achieve this goal, we proposed a novel emergency cross-media information retrieval model, which includes four parts: information collection, information indexing, information retrieval and intelligent mobile terminal. The proposed model has two advantages. One is to use ontology technique to identify appropriate semantic information according to query words. The other is to use image semantic analysis based on SIFT to achieve the task of emergency image retrieval. Conducted experiments show that our model obtained encouraging performance results.