CASIA OpenIR  > 09年以前成果
Automatic image annotation using semi-supervised multi-instance multi-label learning algorithm
Songhe Feng; De Xu; Bing Li
Source PublicationChinese Journal of Electronics
2008
Volume17Issue:4Pages:602-606
AbstractAutomatic image annotation has emerged as an important research topic. From the perspective of machine learning, the annotation task fits both multi-instance and multi-label learning framework due to the fact that an image is composed of multiple regions, and is as-sociated with multiple keywords as well. In this paper, we propose a novel Semi-supervised multi-instance multi-label (SSMIML) learning framework, which aims at taking full advantage of both labeled and unlabeled data to address the annotation problem. Specifically, a reinforced diverse density algorithm is applied firstly to select the Instance prototypes (IPs) with respect to a given keyword from both positive and unlabeled bags. Then, the selected IPs are modeled using the Gaussian mixture model (GMM) in order to reflect the semantic class density distribution. Furthermore, based on the class distribution for a keyword, both positive and unlabeled bags are redefined using a novel feature mapping strategy. Thus, each bag can be represented by one fixed-length feature vector so that the manifold-ranking algorithm can be used subsequently to propagate the corresponding label from positive bags to unlabeled bags directly. Experiments on the Corel data set show that the proposed method outperforms most existing image annotation algorithms.
KeywordImage Annotation
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20393
Collection09年以前成果
AffiliationBeijing Jiaotong University
Recommended Citation
GB/T 7714
Songhe Feng,De Xu,Bing Li. Automatic image annotation using semi-supervised multi-instance multi-label learning algorithm[J]. Chinese Journal of Electronics,2008,17(4):602-606.
APA Songhe Feng,De Xu,&Bing Li.(2008).Automatic image annotation using semi-supervised multi-instance multi-label learning algorithm.Chinese Journal of Electronics,17(4),602-606.
MLA Songhe Feng,et al."Automatic image annotation using semi-supervised multi-instance multi-label learning algorithm".Chinese Journal of Electronics 17.4(2008):602-606.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Songhe Feng]'s Articles
[De Xu]'s Articles
[Bing Li]'s Articles
Baidu academic
Similar articles in Baidu academic
[Songhe Feng]'s Articles
[De Xu]'s Articles
[Bing Li]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Songhe Feng]'s Articles
[De Xu]'s Articles
[Bing Li]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.