中国科学院机构知识库网格系统: Multimodal learning for multi-label image classification

Multimodal learning for multi-label image classification

文献类型：会议论文


作者	PangYanwei ; MaZhao ; YuanYuan ; LiXuelong ; WangKongqiao
出版日期	2011
会议名称	2011 18th ieee international conference on image processing, icip 2011
会议日期	september 11, 2011 - september 14, 2011
会议地点	brussels, belgium
关键词	Multimodal features Multilabel learning Multiple kernel learning
页码	1797-1800
英文摘要	we tackle the challenge of web image classification using additional tags information. unlike traditional methods that only use the combination of several low-level features, we try to use semantic concepts to represent images and corresponding tags. at first, we extract the latent topic information by probabilistic latent semantic analysis (plsa) algorithm, and then use multi-label multiple kernel learning to combine visual and textual features to make a better image classification. in our experiments on pascal voc'07 set and mir flickr set, we demonstrate the benefit of using multimodal feature to improve image classification. specifically, we discover that on the issue of image classification, utilizing latent semantic feature to represent images and associated tags can obtain better classification results than other ways that integrating several low-level features.
收录类别	SCI ; EI
产权排序	2
会议主办者	ieee; ieee signal processing society
会议录	proceedings - international conference on image processing, icip
会议录出版者	ieee computer society
会议录出版地	445 hoes lane - p.o.box 1331, piscataway, nj 08855-1331, united states
语种	英语
ISSN号	1522-4880
ISBN号	9781457713033
源URL	[http://ir.opt.ac.cn/handle/181661/20112]
专题	西安光学精密机械研究所_空间光学应用研究室
推荐引用方式 GB/T 7714	PangYanwei,MaZhao,YuanYuan,et al. Multimodal learning for multi-label image classification[C]. 见:2011 18th ieee international conference on image processing, icip 2011. brussels, belgium. september 11, 2011 - september 14, 2011.

入库方式： OAI收割

来源：西安光学精密机械研究所

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Multimodal learning for multi-label image classification

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