NDLI: Sparse coding algorithm for the visual art style classification

Content Provider	IEEE Xplore Digital Library
Author	Wan Cuilan Pu Yuanyuan Liu Yuqing Xu Dan
Copyright Year	2012
Description	Author affiliation: School of Information Science and Engineering, Yunnan University, Kunming 650091, China (Wan Cuilan; Pu Yuanyuan; Liu Yuqing; Xu Dan)
Abstract	The sparse coding algorithm (SC algorithm) can remove the redundancy and obtain independent features of images. What's more, the SC algorithm can also distinguish different features. The features extracted by the SC algorithm are helpful to the analysis and classification of the visual paintings' style. In this paper, the SC algorithm are used to obtain basis functions and sparse coefficients, which are adapted and the sparsest represent of the given paintings Basis functions of the same style are the same and the response of basis functions to paintings of the same style is the sparsest. The kurtosis, which will be high when basis functions and paintings belong to the same style, was used to measure the sparseness and classify different style. The result shows that the SC algorithm can extract the essential characteristics of the images efficiently, and the classification and analysis of the style of visual paintings can be achieved.
Starting Page	3844
Ending Page	3849
File Size	2439924
Page Count	6
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Algorithm design and analysis Visualization Encoding Kurtosis Classification algorithms Electronic mail Visual Art Style Painting Image coding Sparse Coding Algorithm Base Functions Classification Sparse Coefficients
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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