NDLI: Global and local features for accurate impression estimation of cloth fabric images

Content Provider	IEEE Xplore Digital Library
Author	Xinyin Huang Dingye Chen Xian-Hua Han Yen-Wei Chen
Copyright Year	2013
Description	Author affiliation: Sch. of Educ., Soochow Univ., Suzhou, China (Xinyin Huang) \|\| Coll. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan (Dingye Chen; Xian-Hua Han; Yen-Wei Chen)
Abstract	Consumers' psychological feeling or impression is an important factor for product design. The impression estimation becomes an important issue. In this paper, we proposed a machine learning based impression estimation method for cloth fabric images. We use a semantic differential (SD) method to measure the user's impression such as bright, warm while they viewing a cloth fabric image. We also extract both global and local features of cloth fabric images such as color and texture using computer vision techniques. Then we use support vector regression to model the mapping function between the impression and image features. The learned mapping function is used to estimate the impression of cloth fabric images.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	486
Ending Page	489
File Size	655440
Page Count	4
File Format	PDF
e-ISBN	9781479926251
DOI	10.1109/SII.2013.6776758
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image color analysis Clothing Estimation Feature extraction Fabrics Vectors
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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