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Image tag-ranking via pairwise supervision based semi-supervised model

文献类型：期刊论文

作者He, Yonghao; Kang, Cuicui; Wang, Jian; Xiang, Shiming; Pan, Chunhong
刊名NEUROCOMPUTING
出版日期2015-11-01
卷号167页码:614-624
关键词Image tag-ranking Pairwise supervision Learning to rank
英文摘要Image tag-ranking, the task to sort tags based on their relevance to the related images, has become a hot topic in the field of multimedia. Most existing methods do not incorporate the tag-ranking order information into the models, which is actually very important to solve the issue of image tag-ranking. In this paper, by taking advantage of such important information, we propose a novel model which uses images with ranked tag lists as its supervision information. In the proposed method, each ranked tag list is decomposed into a number of image-tag pairs, all of which are pooled together for training a scoring function. With this pairwise supervision, the model is able to capture the intrinsic ranking structures. In addition, unsupervised data, namely images with unranked tag lists, is also integrated for digging the binary order: relevant or irrelevant. By leveraging both the pairwise supervision and unsupervised structural information, our model sufficiently exploits the tag relevance to images as well as the ranking structures of tag lists. Extensive experiments are conducted on both image tag-ranking and tag-based image search with three benchmark datasets: SUNAttribute, Labelme and MSRC, demonstrating the effectiveness of the proposed model. (C) 2015 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]ANNOTATION ; SHAPE
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0925231215004749
语种英语
WOS记录号WOS:000358808500065
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/8894]  
专题自动化研究所_模式识别国家重点实验室_遥感图像处理团队
作者单位Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 He, Yonghao,Kang, Cuicui,Wang, Jian,et al. Image tag-ranking via pairwise supervision based semi-supervised model[J]. NEUROCOMPUTING,2015,167:614-624.
APA He, Yonghao,Kang, Cuicui,Wang, Jian,Xiang, Shiming,&Pan, Chunhong.(2015).Image tag-ranking via pairwise supervision based semi-supervised model.NEUROCOMPUTING,167,614-624.
MLA He, Yonghao,et al."Image tag-ranking via pairwise supervision based semi-supervised model".NEUROCOMPUTING 167(2015):614-624.

入库方式： OAI收割

来源：自动化研究所

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