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A two-level model for automatic image annotation
Ke, Xiao ; Li, Shaozi ; Cao, Donglin ; Li SZ(李绍滋) ; Cao DL(曹冬林)
刊名http://dx.doi.org/10.1007/s11042-010-0706-9
2012-11
英文摘要National Natural Science Foundation of China [60873179, 60803078]; Research Fund for the Doctoral Program of Higher Education of China [20090121110032]; Shenzhen Municipal Science and Technology Planning Program for Basic Research of China [JC200903180630A]; Image automatic annotation is a significant and challenging problem in pattern recognition and computer vision. Current image annotation models almost used all the training images to estimate joint generation probabilities between images and keywords, which would inevitably bring a lot of irrelevant images. To solve the above problem, we propose a hierarchical image annotation model which combines advantages of discriminative model and generative model. In first annotation layer, discriminative model is used to assign topic annotations to unlabeled images, and then relevant image set corresponding to each unlabeled image is obtained. In second annotation layer, we propose a keywords-oriented method to establish links between images and keywords, and then our iterative algorithm is used to expand relevant image sets. Candidate labels will be given higher weights by using our method based on visual keywords. Finally, generative model is used to assign detailed annotations to unlabeled images on expanded relevant image sets. Experiments conducted on Corel 5K datasets verify the effectiveness of our hierarchical image annotation model.
语种英语
出版者MULTIMED TOOLS APPL
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/92370]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
Ke, Xiao,Li, Shaozi,Cao, Donglin,et al. A two-level model for automatic image annotation[J]. http://dx.doi.org/10.1007/s11042-010-0706-9,2012.
APA Ke, Xiao,Li, Shaozi,Cao, Donglin,李绍滋,&曹冬林.(2012).A two-level model for automatic image annotation.http://dx.doi.org/10.1007/s11042-010-0706-9.
MLA Ke, Xiao,et al."A two-level model for automatic image annotation".http://dx.doi.org/10.1007/s11042-010-0706-9 (2012).
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