A Semisupervised Framework for Automatic Image Annotation Based on Graph Embedding and Multiview Nonnegative Matrix Factorization
Joint Authors
Wang, Zhen
Ge, Hongwei
Yan, Zehang
Dou, Jing
Wang, ZhiQiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Automatic image annotation is for more accurate image retrieval and classification by assigning labels to images.
This paper proposes a semisupervised framework based on graph embedding and multiview nonnegative matrix factorization (GENMF) for automatic image annotation with multilabel images.
First, we construct a graph embedding term in the multiview NMF based on the association diagrams between labels for semantic constraints.
Then, the multiview features are fused and dimensions are reduced based on multiview NMF algorithm.
Finally, image annotation is achieved by using the new features through a KNN-based approach.
Experiments validate that the proposed algorithm has achieved competitive performance in terms of accuracy and efficiency.
American Psychological Association (APA)
Ge, Hongwei& Yan, Zehang& Dou, Jing& Wang, Zhen& Wang, ZhiQiang. 2018. A Semisupervised Framework for Automatic Image Annotation Based on Graph Embedding and Multiview Nonnegative Matrix Factorization. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208155
Modern Language Association (MLA)
Ge, Hongwei…[et al.]. A Semisupervised Framework for Automatic Image Annotation Based on Graph Embedding and Multiview Nonnegative Matrix Factorization. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1208155
American Medical Association (AMA)
Ge, Hongwei& Yan, Zehang& Dou, Jing& Wang, Zhen& Wang, ZhiQiang. A Semisupervised Framework for Automatic Image Annotation Based on Graph Embedding and Multiview Nonnegative Matrix Factorization. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208155
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208155