多媒体交叉参照检索系统研究

描述并实现了一个面向数字图书馆的多媒体交叉参照检索系统．该系统将对多模态数据的检索无缝地融合到一个系统中，基于交叉参照图模型，多模态交叉参照搜索引擎综合计算媒体对象与查询之间在语义和内容层上的相似度；系统还支持用户相关反馈调整交叉参照图模型．实验结果表明，该系统能够比较有效地进行多模态交叉参照检索．

The Research of Multimedia Cross Reference Retrieval System

In this paper, we propose a novel multimedia cross-reference retrieval system for digital libraries. The most important feature of the system is to integrate the multi-modal data into a seamless retrieval system. The cross-reference search engine, based on the cross-reference graph, serves as a bridge in the whole system. It calculates both the semantic and content level similarity between media object and the query. It is also able to adjust the cross-reference graph model based on relevance feedback conducted by users, which progressively improves the retrieval accuracy. As demonstrated by the experiments, the system can achieve satisfactory retrieval efficiency on multi-modal datasets.