Cross-Modal Multimedia Archives Information Retrieval Based on Semantic Matching

In view of the low recall rate of archives retrieval at this stage, this paper proposes a cross-modal multimedia archives information retrieval model. According to the characteristics of archives, this method carries out feature processing and semantic mapping of archives information, applies the integrated learning method to cross-media archives retrieval, proposes Bagging-SM method for semantic matching of different modes of multimedia archives information, and finally proves that the cross-modal multimedia archives information retrieval model can effectively improve archives information retrieval and retrieval. Full rate is helpful to the development of intelligent retrieval in archives system.