NDLI: An ontology approach to object-based image retrieval

Content Provider	IEEE Xplore Digital Library
Author	Mezaris, V. Kompatsiaris, I. Strintzis, M.G.
Copyright Year	2003
Description	Author affiliation: Inf. Process. Lab., Aristotelian Univ. of Thessaloniki, Greece (Mezaris, V.)
Abstract	In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segmentation algorithm to divide images into regions. Low-level features describing the color, position, size and shape of the resulting regions are extracted and are automatically mapped to appropriate intermediate-level descriptors forming a simple vocabulary termed object ontology. The object ontology is used to allow the qualitative definition of the high-level concepts the user queries for (semantic objects, each represented by a keyword) in a human-centered fashion. When querying, clearly irrelevant image regions are rejected using the intermediate-level descriptors; following that, a relevance feedback mechanism employing the low-level features is invoked to produce the final query results. The proposed approach bridges the gap between keyword-based approaches, which assume the existence of rich image captions or require manual evaluation and annotation of every image of the collection, and query-by-example approaches, which assume that the user queries for images similar to one that already is at his disposal.
Sponsorship	IEEE Signal Process. Soc
File Size	367650
File Format	PDF
ISBN	0780377508
ISSN	15224880
DOI	10.1109/ICIP.2003.1246729
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-14
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ontologies Image retrieval Indexing Information retrieval Image segmentation Vocabulary Image databases Spatial databases Shape Feedback
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

Object Retrieval Approach with Invariant Features Based on Corner Shapes

Relational histograms for shape indexing

Multilevel Indexing Structure for Object Based Image Retrieval

An Invariant Feature Representation for shape Retrieval

Scalable object-based image retrieval

Trademark Image Retrieval Using Wavelet-based Shape Features

An object-oriented approach to visual databases

A fuzzy approach to content-based image retrieval

Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval (2004)

An ontology approach to object-based image retrieval

Similar Documents

Object Retrieval Approach with Invariant Features Based on Corner Shapes

Relational histograms for shape indexing

Multilevel Indexing Structure for Object Based Image Retrieval

An Invariant Feature Representation for shape Retrieval

Scalable object-based image retrieval

Trademark Image Retrieval Using Wavelet-based Shape Features

An object-oriented approach to visual databases

A fuzzy approach to content-based image retrieval

Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval (2004)

An ontology approach to object-based image retrieval