NDLI: Learning the Semantics in Image Retrieval - A Natural Language Processing Approach

Content Provider	IEEE Xplore Digital Library
Author	Changbo Yang Ming Dong Fotouhi, F.
Copyright Year	2004
Description	Author affiliation: Wayne State University, Detroit, MI (Changbo Yang)
Abstract	Learning the semantics of image retrieval using both text and visual information is a challenging research issue in content-based image retrieval systems. In this paper, we present a statistical natural language processing model for image retrieval, which integrates semantic information provided by WordNet, an online lexical reference system, and low-level visual features. In our system, the semantic hierarchy of word senses from WordNet is used to strengthen the association between images and the textual description of a concept. A statistical keyword selection algorithm is followed to choose the most representative keywords to annotate those images of the concept. We test our model on a landscape image database with 10 different concepts. Our experimental results show that our approach could greatly improve the retrieval accuracy. The results also demonstrate the high potential of our approach in building ontologies of image databases.
Starting Page	137
Ending Page	137
File Size	189319
Page Count	1
File Format	PDF
DOI	10.1109/CVPR.2004.386
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Computer vision Content based retrieval Image databases Image retrieval Humans Ontologies Information retrieval Natural language processing Testing
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

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