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A multi-label image annotation scheme based on improved SVM multiple kernel learning

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成果类型:
期刊论文、会议论文
作者:
Jin, Cong*;Jin, Shu-Wei
通讯作者:
Jin, Cong
作者机构:
[Jin, Cong] Cent China Normal Univ, Sch Comp, Wuhan 430079, Peoples R China.
[Jin, Shu-Wei] Ecole Normale Super, 24 Rue Lhomond, F-75231 Paris 5, France.
通讯机构:
[Jin, Cong] C
Cent China Normal Univ, Sch Comp, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Multi-label image annotation;image classification;feature selection;improved multiple kernel learning
期刊:
Proceedings of SPIE - The International Society for Optical Engineering
ISSN:
0277-786X
年:
2017
卷:
10225
页码:
1022510-null
会议名称:
8th International Conference on Graphic and Image Processing (ICGIP)
会议论文集名称:
Proceedings of SPIE
会议时间:
OCT 29-31, 2016
会议地点:
Tokyo, JAPAN
会议主办单位:
[Jin, Cong] Cent China Normal Univ, Sch Comp, Wuhan 430079, Peoples R China.^[Jin, Shu-Wei] Ecole Normale Super, 24 Rue Lhomond, F-75231 Paris 5, France.
会议赞助商:
Int Assoc Comp Sci & Informat Technol, Univ Aizu, Wuhan Univ, Linkoping Univ, Palacky Univ
主编:
Pham, TD Vozenilek, V Zeng, Z
出版地:
1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
出版者:
SPIE-INT SOC OPTICAL ENGINEERING
ISBN:
978-1-5106-0951-8; 978-1-5106-0952-5
基金类别:
Natural Social Science Foundation of China [13BTQ050]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Multi-label image annotation (MIA) has been widely studied during recent years and many MIA schemes have been proposed. However, the most existing schemes are not satisfactory. In this paper, an improved multiple kernel learning (IMKL) method of support vector machine (SVM) is proposed to improve the classification accuracy of SVM, then a novel MIA scheme based on IMKL is presented, which uses the discriminant loss to control the number of top semantic labels, and the feature selection approach is also used for improving the performance of MIA. The experiment results show that proposed MIA sch...

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