Large Image/Videos Automatic Annotation Using Bidirectional Associative Memories
In this paper,an approach of image/videosautomatic annotation considering semanticstolerance relation between pre-defined classes isdescribed.The image/videossemantics is representedby a vector of associative values with the pre-definedclasses.Moreover,the semantic gap induced in theprocess of automatically generating associative valuesis dealt with by using the constructed semantictolerance relation model(STRM).On the other hand,the method how to generating associative values withpre-defined classes regarding different dimensions isalso depicted Image/videosretrieval results basedon the pre-defined classes shows the effectiveness ofthe proposed methods.
Ying Dai
Iwate Pref University
国际会议
厦门
英文
565-571
2008-11-17(万方平台首次上网日期,不代表论文的发表时间)