A New Method for Semi-Automatic Image Annotation

Semantic-based image retrieval bridges the gap between visual features and human understanding of image in the field of image retrieval. Image annotation is one important technology of image retrieval based on the semantic. This paper proposed one method to realize semi-automatic image annotation with the tool Support Vector Machine (SVM). The image collection was divided into two parts, one for manual annotation and the other for testing. After being classified by SVM, the output was changed into a probability, and K-NN algorithm was applied to get the keywords for unlabeled images. The experiments show that the approach is feasible.
Image classification SVM image retrieval
Hu Xuelong Zhang Yuhui Yang Li
School of Information Engineering,Yangzhou University,Yangzhou 225009,China;Jiangsu Province Key Lab School of Information Engineering,Yangzhou University,Yangzhou 225009,China
国际会议
西安
英文
2007-08-16(万方平台首次上网日期,不代表论文的发表时间)