摘要：【中文】本发明针对跨媒体检索问题，提出了一种基于跨媒体统一表征模型的跨媒体检索方法，包括以下步骤：(1)跨媒体数据库构建，建立面向政务新闻领域大跨媒体数据库；(2)跨媒体数据预处理，文本、图像、视频和音频等数据的输入预处理；(3)跨媒体数据原域特征提取，跨媒体数据的原域特征向量提取；(4)跨媒体数据统一表征，跨媒体数据在共同表示空间的特征向量提取；(5)数据检索语义相似度计算与排序，检索目标数据与跨媒体数据库中数据语义相似度计算，并排序输出结果。本发明不仅提出了一种支持四种媒体数据的相互检索方法，同时提出多种媒体数据的统一表征模型，提高了跨媒体语义检索精度，具有关阔的应用前景。 【EN】The invention provides a cross-media retrieval method based on a cross-media uniform representation model aiming at the problem of cross-media retrieval, which comprises the following steps: (1) constructing a cross-media database, and establishing a large-cross-media database facing the government affair news field; (2) cross-media data preprocessing, input preprocessing of data such as texts, images, videos and audios; (3) extracting original domain features of cross-media data, and extracting original domain feature vectors of the cross-media data; (4) uniformly representing the cross-media data, and extracting feature vectors of the cross-media data in a common representation space; (5) and calculating and sequencing the semantic similarity of the data, calculating the semantic similarity of the data of the retrieval target and the data in the cross-media database, and sequencing to output results. The invention not only provides a mutual retrieval method supporting four media data, but also provides a unified representation model of multiple media data, improves the cross-media semantic retrieval precision, and has a broad application prospect.