Result: Soft query in image retrieval systems

Title:
Soft query in image retrieval systems
Authors:
SHAHABI, C, CHEN, Y.-S
Source:
Internet imaging (San Jose CA, 26-28 January 2000)SPIE proceedings series. 3964:57-68
Publisher Information:
Bellingham WA: SPIE, 2000.
Publication Year:
2000
Physical Description:
print, 30 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Electronics, Electronique, Optics, Optique, Physics, Physique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de recherche d'information, Information retrieval systems, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Algorithme, Algorithm, Algoritmo, Analyse image, Image analysis, Análisis imagen, Banque image, Image databank, Banco imagen, Classification, Clasificación, Interface utilisateur, User interface, Interfase usuario, Logique floue, Fuzzy logic, Lógica difusa, Modèle, Models, Modelo, Question documentaire, Query, Pregunta documental, Recherche information, Information retrieval, Recuperación información, Benchmarking, Traitement question, Question processing
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Integrated Media Systems Center and Computer Science Department, University of Southern California, Los Angeles, CA 90089-2564, United States
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=780201
Rights:
Copyright 2001 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.780201
Database:
PASCAL Archive

Further Information

We explore the use of soft computing and user defined classifications in multimedia database systems for content-based queries. With traditional database systems, objects/tuples are grouped into classes/relations using hard membership. Hence, the result of a query to obtain the members of a class is a fixed set. With multimedia databases, however, an object may belong to different classes with different probabilities (soft membership). In addition, alternative users may classify objects differently due to subjectivity of human perception on multimedia objects. In order to remedy for this situation, we propose a unified model that captures both conventional techniques and soft memberships. We implemented the model by extending the traditional database query capabilities such that the result of a query depends on the user who submits the query. We compared our proposed system with conventional image retrieval systems and observed a significant margin of improvement in matching the user expectations.