Context-Aware and Locality-Constrained Coding for Image Categorization
Joint Authors
Wang, Bin
Liu, Yu
Zhang, Maojun
Xiao, Wenhua
Bao, Weidong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-18
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Improving the coding strategy for BOF (Bag-of-Features) based feature design has drawn increasing attention in recent image categorization works.
However, the ambiguity in coding procedure still impedes its further development.
In this paper, we introduce a context-aware and locality-constrained Coding (CALC) approach with context information for describing objects in a discriminative way.
It is generally achieved by learning a word-to-word cooccurrence prior to imposing context information over locality-constrained coding.
Firstly, the local context of each category is evaluated by learning a word-to-word cooccurrence matrix representing the spatial distribution of local features in neighbor region.
Then, the learned cooccurrence matrix is used for measuring the context distance between local features and code words.
Finally, a coding strategy simultaneously considers locality in feature space and context space, while introducing the weight of feature is proposed.
This novel coding strategy not only semantically preserves the information in coding, but also has the ability to alleviate the noise distortion of each class.
Extensive experiments on several available datasets (Scene-15, Caltech101, and Caltech256) are conducted to validate the superiority of our algorithm by comparing it with baselines and recent published methods.
Experimental results show that our method significantly improves the performance of baselines and achieves comparable and even better performance with the state of the arts.
American Psychological Association (APA)
Xiao, Wenhua& Wang, Bin& Liu, Yu& Bao, Weidong& Zhang, Maojun. 2014. Context-Aware and Locality-Constrained Coding for Image Categorization. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1050436
Modern Language Association (MLA)
Xiao, Wenhua…[et al.]. Context-Aware and Locality-Constrained Coding for Image Categorization. The Scientific World Journal No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1050436
American Medical Association (AMA)
Xiao, Wenhua& Wang, Bin& Liu, Yu& Bao, Weidong& Zhang, Maojun. Context-Aware and Locality-Constrained Coding for Image Categorization. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1050436
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050436