NDLI: Image Retrieval with Simple Invariant Features Based Hierarchical Uniform Segmentation

Content Provider	IEEE Xplore Digital Library
Author	Zhang, Mingxin Lu, Zhaogan Shen, Junyi
Copyright Year	2007
Abstract	According to local information of images, region- based image retrieval is the focus of recent research works, as the approaches based global features can not achieve the expectation querying results. The objects of interest generally occupy only one small part of images, so the image segmentation with different object regions must be conducted for the region-based image retrieval schemes. However, accurate object segmentation is still beyond current computer vision technique. Here, we proposed one feasible image retrieval scheme based the hierarchical uniform segmentations, which avoid the complexity of image segmentations. Firstly, the querying image is segmented into equal blocks at different hierarchical levels, and the more blocks with larger hierarchical levels. Then, according to the similar metrics of these different size blocks to the expectation image into segmentations, the images containing querying objects can be retrieved with information about scales and locations of query objects in retrieved images. Finally, the proposed image retrieval schemes are tested by experiments via database with 500 images, and the retrieval accuracy can achieve 78% for the optimal similar metric threshold, and is comparable to that of region-based schemes.
Starting Page	461
Ending Page	465
File Size	985403
Page Count	5
File Format	PDF
ISBN	0769530729
e-ISBN	9780769530727
DOI	10.1109/CIS.2007.139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Computer vision Histograms Content based retrieval Image retrieval Discrete Fourier transforms Object segmentation Information retrieval Discrete wavelet transforms Computational intelligence
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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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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