NDLI: Content Based Image Retrieval Using Localized Line Segment Groupings

Content Provider	IEEE Xplore Digital Library
Author	Ahmad, N. Youngan An Jongan Park
Copyright Year	2008
Description	Author affiliation: Dept of Inf. & Commun. Eng., Chosun Univ., Gwangju (Ahmad, N.; Youngan An; Jongan Park)
Abstract	The paper presents a new approach for feature representation using semantic line groupings in an image. The algorithm uses the hypothesis in line with Gestalt laws of proximity that as a baseline in an image, semantic structures are formed by line segments placed in close proximity to each other. The algorithm uses line segments in an image to form semantic groups based on a minimum distance threshold. The semantic line groupings are differentiated from each other by the number of group members and their geometrical properties represented as histograms. The results are analyzed using different similarity measures to understand the strengths and weaknesses of the grouping approach and those of the similarity measures.
Starting Page	1352
Ending Page	1357
File Size	617541
Page Count	6
File Format	PDF
ISBN	9780769534732
DOI	10.1109/APSCC.2008.88
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-09
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based retrieval Shape Multimedia systems Image retrieval Humans Multimedia databases Information retrieval Multimedia retrieval Image segmentation Histograms Image analysis Clustering algorithms web based image retrieval
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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

Video Search Using a Visual Dictionary

An adaptive and efficient clustering-based approach for content-based image retrieval in image databases

Image similarity measurement using max weighted bipartite matching

Similarity based retrieval of image database: using dynamic clustering

A study of clustering algorithm for wavelet-based image retrieval system

Clustering Approach to Content Based Image Retrieval

Image database retrieval using sketched queries

Trademark retrieval using contour-skeleton stroke classification

Weighting spatial arrangement of colors in content based image retrieval

Content Based Image Retrieval Using Localized Line Segment Groupings

Similar Documents

Video Search Using a Visual Dictionary

An adaptive and efficient clustering-based approach for content-based image retrieval in image databases

Image similarity measurement using max weighted bipartite matching

Similarity based retrieval of image database: using dynamic clustering

A study of clustering algorithm for wavelet-based image retrieval system

Clustering Approach to Content Based Image Retrieval

Image database retrieval using sketched queries

Trademark retrieval using contour-skeleton stroke classification

Weighting spatial arrangement of colors in content based image retrieval

Content Based Image Retrieval Using Localized Line Segment Groupings