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Master Thesis

Récupération et traitement d'information via le crowdsourcing et la reconnaissance d’images

Abstract : Nowadays, a large amount of data are generated and available everywhere. However, there is a huge challenge on how to efficiently exploit, process and leverage this immense flow of information. The main objective of this disseration is to demonstrate how we can efficiently aggregate various data sources and smoothly integrated them in order to create a new data ecosystem for Le Bon Côté des Choses. The purpose of this project is to develop new approaches to gather, process and classify textual and binary data supported by a Web & mobile community. Novatives crowdsourcing technologies, automatic image processing and text recognition methodologies have been used throughout this project.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01222254
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Submitted on : Thursday, October 29, 2015 - 3:22:07 PM
Last modification on : Monday, October 19, 2020 - 10:56:07 AM
Long-term archiving on: : Friday, April 28, 2017 - 7:02:44 AM

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  • HAL Id : dumas-01222254, version 1

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Matthieu Lombard. Récupération et traitement d'information via le crowdsourcing et la reconnaissance d’images. Traitement du signal et de l'image [eess.SP]. 2014. ⟨dumas-01222254⟩

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