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Annular Spatial Pyramid Mapping and Feature Fusion-Based Image Coding Representation and Classification
Joint Authors
Xu, Mengxi
Lu, Yingshu
Wu, Xiaobin
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Conventional image classification models commonly adopt a single feature vector to represent informative contents.
However, a single image feature system can hardly extract the entirety of the information contained in images, and traditional encoding methods have a large loss of feature information.
Aiming to solve this problem, this paper proposes a feature fusion-based image classification model.
This model combines the principal component analysis (PCA) algorithm, processed scale invariant feature transform (P-SIFT) and color naming (CN) features to generate mutually independent image representation factors.
At the encoding stage of the scale-invariant feature transform (SIFT) feature, the bag-of-visual-word model (BOVW) is used for feature reconstruction.
Simultaneously, in order to introduce the spatial information to our extracted features, the rotation invariant spatial pyramid mapping method is introduced for the P-SIFT and CN feature division and representation.
At the stage of feature fusion, we adopt a support vector machine with two kernels (SVM-2K) algorithm, which divides the training process into two stages and finally learns the knowledge from the corresponding kernel matrix for the classification performance improvement.
The experiments show that the proposed method can effectively improve the accuracy of image description and the precision of image classification.
American Psychological Association (APA)
Xu, Mengxi& Lu, Yingshu& Wu, Xiaobin. 2020. Annular Spatial Pyramid Mapping and Feature Fusion-Based Image Coding Representation and Classification. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214666
Modern Language Association (MLA)
Xu, Mengxi…[et al.]. Annular Spatial Pyramid Mapping and Feature Fusion-Based Image Coding Representation and Classification. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1214666
American Medical Association (AMA)
Xu, Mengxi& Lu, Yingshu& Wu, Xiaobin. Annular Spatial Pyramid Mapping and Feature Fusion-Based Image Coding Representation and Classification. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1214666
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214666