首页>
外国专利>
USING A BIPARTITE GRAPH TO MODEL AND DERIVE IMAGE AND TEXT ASSOCIATIONS
USING A BIPARTITE GRAPH TO MODEL AND DERIVE IMAGE AND TEXT ASSOCIATIONS
展开▼
机译:使用BIPARTITE图形建模和派生图像和文本关联
展开▼
页面导航
摘要
著录项
相似文献
摘要
A method for deriving probabilistic association scores based on image content is provided. A bipartite graph is constructed based on a database of image content and associated textual content. One partition of the bipartite graph contains image content and the other partition of the bipartite graph contains textual content. Weighted edges between nodes in the two partitions represent associations between the image content and textual content in the database. Random walks on the bipartite graph are performed to derive probabilistic association scores between image content and textual content. Association scores are used to automatically annotate images and detect spurious image tags.
展开▼