Content-based fuzzy search in a multimedia web database

Authors:
Marina Teresa Pires Vieira;Mauro Biajiz;Sérgio Ricardo Borges Júnior;Eduardo Cotrin Teixeira;Fernando Genta dos Santos;Josiel Maimoni Figueiredo
Affiliations:
Department of Computer Science. Federal University of São Carlos. São Carlos, SP Caixa Postal 676, Brazil;Department of Computer Science. Federal University of São Carlos. São Carlos, SP Caixa Postal 676, Brazil;Department of Computer Science. Federal University of São Carlos. São Carlos, SP Caixa Postal 676, Brazil;Department of Computer Science. Federal University of São Carlos. São Carlos, SP Caixa Postal 676, Brazil;Department of Computer Science. Federal University of São Carlos. São Carlos, SP Caixa Postal 676, Brazil;Department of Computer Science. Federal University of São Carlos. São Carlos, SP Caixa Postal 676, Brazil
Venue:
Intelligent exploration of the web
Year:
2003

Citing 4
Cited 0

Design and implementation issues in the fuzzy object-oriented data model

Information Sciences—Informatics and Computer Science: An International Journal
Proximity relations in the fuzzy relational database model

Fuzzy Sets and Systems
An Extended Relational Database Model for Uncertain and Imprecise Information

VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Content-based Search on an MHEG-5 Standard-based Multimedia Database

DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents the mechanisms employed to carry out content-based fuzzy searches in a multimedia applications database. These searches can be carried out through the World Wide Web, allowing for the search for media whose content has a certain degree of similarity with that defined in the query predicate. The imprecision involved in the semantic information that defines the content of the media is treated by means of proximity relations to compare terms established in the query with those found in the database. A description is given of the formulas used to calculate the similarity degree between these terms to allow for classification of the media in the response set, as well as the algorithms used to search through the database to retrieve the media.