NDLI: Region-Based Spatial Sampling for Image Classification

Content Provider	IEEE Xplore Digital Library
Author	Pengpeng Ji Shengye Yan Qingshan Liu
Copyright Year	2013
Description	Author affiliation: Sch. of Inf. & Control, Nanjing Univ. of Inf. & Sci. Technol., Nanjing, China (Pengpeng Ji; Shengye Yan; Qingshan Liu)
Abstract	Local descriptors with Bag-of-Words representation were widely used for image classification. Especially, local descriptors of dense spatial sampling were demonstrated to be able to further improve performances of image classification. However, denser spatial sampling is impractical due to huge computation cost. To handle this issue, we propose a new region-based sampling strategy in this paper. We first perform an over-segmentation to get image regions, and then we extract local descriptors around the region boundaries and inside the regions respectively with a popular sampling strategy. Thus, almost at the same computation cost, the proposed method can capture more salient points and obtain much better classification performance. Extensive experiments are conducted on two widely-used datasets (UIUC Sports and Caltech-101). The experimental results demonstrate the effectiveness of the proposed method. Specifically, the proposed method updates the state-of-the-art on UIUC Sports dataset with a classification accuracy of 89.38%.
Starting Page	874
Ending Page	879
File Size	726757
Page Count	6
File Format	PDF
ISBN	9780769550503
DOI	10.1109/ICIG.2013.177
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Caltech-101 Image Classification Image segmentation Accuracy Dictionaries Image Segmentation Feature extraction Sampling methods Encoding UIUC Sports Image classification
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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