CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Image tag-ranking via pairwise supervision based semi-supervised model
He, Yonghao; Kang, Cuicui; Wang, Jian; Xiang, Shiming; Pan, Chunhong
Source PublicationNEUROCOMPUTING
2015-11-01
Volume167Pages:614-624
SubtypeArticle
AbstractImage 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.
KeywordImage Tag-ranking Pairwise Supervision Learning To Rank
WOS HeadingsScience & Technology ; Technology
WOS KeywordANNOTATION ; SHAPE
URL查看原文
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000358808500065
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8894
Collection模式识别国家重点实验室_先进数据分析与学习
AffiliationChinese Acad Sci, Inst Automat, Beijing, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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