NDLI: Content-based retrieval by multiple image examples for sign board retrieval

Content Provider	IEEE Xplore Digital Library
Author	Yoshitaka, A. Hyoudou, T.
Copyright Year	2010
Description	Author affiliation: School of Information Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, 923-1292 Japan (Yoshitaka, A.) \|\| Faculty of Engineering, Hiroshima University, 1-4-1Kagamiyama, Higashi-Hiroshima 739-8527 Japan (Hyoudou, T.)
Abstract	In the area of retrieving image databases, one of the promising approaches is to retrieve it by specifying image example. However, specifying a single image example is not always sufficient to get satisfactory result, since one image example does not give comprehensive ranges of values that reflect the various aspects of the object to be retrieved. In this paper, we propose a method of retrieving images by specifying multiple image examples that is designed for retrieving sign boards. Features of color, shape, and spatial relation of color regions are extracted from example images, and they are clustered so as to obtain proper range of values. Compared with QBE systems that accept only a single image as the query condition, MIERS (Multi-Image Example-based Retrieval System) returns better retrieval result, where the experimental result showed that specifying more examples helps to improve recall with little deterioration of precision.
Starting Page	154
Ending Page	157
File Size	318323
Page Count	4
File Format	PDF
ISBN	9781424471348
e-ISBN	9781424471355
DOI	10.1109/PCS.2010.5702447
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image color analysis Shape Image edge detection Image retrieval Feature extraction
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

Image retrieval scheme based on adaptive feature weighting

Relvance Feed Back Content Based Image Retrieval using multiple features

SSH: Salient Structures Histogram for Content Based Image Retrieval

Comparison of Color and Color with Edge Feature Extraction Using Contribution-Based Clustering Algorithm

On the Use of Edge Orientation and Distance for Content-Based Image Retrieval

Content-Based Image Retrieval for Tourism Application

Content-Based Image Retrieval using color and edge direction features

Multi-feature Method: An Integrated Content Based Image Retrieval System

A method using texture and color feature for content-based image retrieval

Content-based retrieval by multiple image examples for sign board retrieval

Similar Documents

Image retrieval scheme based on adaptive feature weighting

Relvance Feed Back Content Based Image Retrieval using multiple features

SSH: Salient Structures Histogram for Content Based Image Retrieval

Comparison of Color and Color with Edge Feature Extraction Using Contribution-Based Clustering Algorithm

On the Use of Edge Orientation and Distance for Content-Based Image Retrieval

Content-Based Image Retrieval for Tourism Application

Content-Based Image Retrieval using color and edge direction features

Multi-feature Method: An Integrated Content Based Image Retrieval System

A method using texture and color feature for content-based image retrieval

Content-based retrieval by multiple image examples for sign board retrieval