NDLI: An adaptive CBIR system for remote sensed data

Content Provider	IEEE Xplore Digital Library
Author	Sebai, H. Kourgli, A.
Copyright Year	2014
Description	Author affiliation: Fac. d'Electron. et d'Inf., USTHB, Bab-Ezzouar, Algeria (Sebai, H.; Kourgli, A.)
Abstract	Nowadays, content-based image-retrieval techniques constitute powerful tools for archiving and mining of large remote sensing image databases. However, the gap between low-level unsupervised extracted features in content-based retrieval and the high-level semantic concepts of user queries limits their performances. For that reason, we propose an adaptive content based image retrieval (CBIR) approach based on 3D-LBP (Local Binary Pattern) and HOG (Histogram of Orientated Gradients) features. The aim is to increase the performance by optimizing image features selection according to image nature (more or less textured and structured) while at the same time maintaining a small sized feature to attain better matching and lower complexity. The feature adaptation is based on two measures: a statistical measure on HOG distribution to quantify shape information and the mean range of local variances for texture measuring. Experiments demonstrate the adaptive scheme permits to reach more accuracy and better performances regarding to retrieval results and time computation.
Sponsorship	IEEE
Starting Page	1
Ending Page	6
File Size	4161182
Page Count	6
File Format	PDF
ISBN	9781479939909
ISSN	19493991
DOI	10.1109/CBMI.2014.6849834
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-18
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms HOG Correlation Shape 3D-LBP Color Vectors statistical moments Content image retrieval wavelets Traffic control Feature extraction texture features
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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