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UM SISTEMA COLABORATIVO BASEADO EM INTELIGÊNCIA COLETIVA E RECONHECIMENTO DE OBJETOS DE LOCAIS PÚBLICOS E TURÍSTICOS

Authors: Adolfo Bocchi; Francisco Assis da Silva; Mario Augusto Pazoti; Danillo Roberto Pereira; Leandro Luiz de Almeida; Almir Olivette Artero;

UM SISTEMA COLABORATIVO BASEADO EM INTELIGÊNCIA COLETIVA E RECONHECIMENTO DE OBJETOS DE LOCAIS PÚBLICOS E TURÍSTICOS

Abstract

This paper proposes a collaborative system for keeping the public and tourist sites of consumers access to historical and cultural information about the objects that make up these sites. With this collaborative system it is possible through a mobile application to get the image of an object of public and tourist site, and send to a WebService, which performs detection and recognition, and shares the historical and cultural information related to the highlighted object in the picture. For this, the collaborative system uses the algorithm SIFT and RANSAC and uses the concepts of collective intelligence sharing in the historical and cultural information. Experiments were performed with images of public and tourist sites objects to test the proposed methodology.

Keywords

Object Recognition, Q1-390, Reconhecimento de Objetos, RANSAC, Android., Collective Intelligence, Science (General), Android, SIFT, SIFT; RANSAC, Inteligência Coletiva, TA1-2040, Engineering (General). Civil engineering (General)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold