On dealing with imprecise information in a content based image retrieval system

Authors:
Tatiana Jaworska;Janusz Kacprzyk;Nicolas Marín;Sławomir Zadrożny
Affiliations:
Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland;Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland;Department of Computer Science and A.I., University of Granada, Granada, Spain;Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland and Warsaw School of Information Technology, Warszawa, Poland
Venue:
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Year:
2010

Citing 12
Cited 0

Image retrieval based on object's orientation spatial relationship

Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Computing with words in intelligent database querying: standalone and internet-based application

Information Sciences—Informatics and Computer Science: An International Journal - Special issue computing with words
Similarity and compatibility in fuzzy set theory: assessment and applications

Similarity and compatibility in fuzzy set theory: assessment and applications
On similarity measures for multimedia database applications

Knowledge and Information Systems
Query by Image and Video Content: The QBIC System

Computer
Chabot: Retrieval from a Relational Database of Images

Computer
Fuzzy Logic Techniques in Multimedia Database Querying: A Preliminary Investigation of the Potentials

IEEE Transactions on Knowledge and Data Engineering
Multimedia Systems and Content-Based Image Retrieval

Multimedia Systems and Content-Based Image Retrieval
Content-based image retrieval by using tree-structured features and multi-layer self-organizing map

Pattern Analysis & Applications
Region-based fit of color homogeneity measures for fuzzy image segmentation

Fuzzy Sets and Systems
The Inner Structure of Database for the CBIR System

CIMCA '08 Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control & Automation
A framework for linguistic relevance feedback in content-based image retrieval using fuzzy logic

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the paper a content-based image retrieval system (CBIR) is considered. We discuss some aspects of image representation and their retrieval when imprecision plays an important role. The sources of imprecision are identified and some ways of dealing with it are proposed. The discussion is illustrated with an example of our pilot implementation of such a CBIR system.