This thesis describes the research work carried out to fulfil the Master in Computer Science at the University of Padua. The work was performed during a visit at Yahoo! Research in Barcelona and was supervised by Roelof van Zwol and Lluis Garcia Puyeo. The visit was funded by the EU Erasmus Programme. The research work described in this thesis was part of a larger research project which is underway at Yahoo! Research in Barcelona. The resarch work described in this thesis aimed at addressing the problem of detecting and retrieving all the logos contained in an image given as input. The problem of detecting and retrieving a logo consists of a variety of steps, each of which has different possible solutions. Although logo detection is an important research problem due to the potential industrial impact, a solution has not yet been proposed in the literature to our knowledge.

Logo detection application: extraction, matching, segmentation and classification

Trevisiol, Michele
2010/2011

Abstract

This thesis describes the research work carried out to fulfil the Master in Computer Science at the University of Padua. The work was performed during a visit at Yahoo! Research in Barcelona and was supervised by Roelof van Zwol and Lluis Garcia Puyeo. The visit was funded by the EU Erasmus Programme. The research work described in this thesis was part of a larger research project which is underway at Yahoo! Research in Barcelona. The resarch work described in this thesis aimed at addressing the problem of detecting and retrieving all the logos contained in an image given as input. The problem of detecting and retrieving a logo consists of a variety of steps, each of which has different possible solutions. Although logo detection is an important research problem due to the potential industrial impact, a solution has not yet been proposed in the literature to our knowledge.
2010-04-13
60
logo detection, SURF Descriptor, features extraction, image detection
File in questo prodotto:
File Dimensione Formato  
elaborato.pdf

accesso aperto

Dimensione 2.13 MB
Formato Adobe PDF
2.13 MB Adobe PDF Visualizza/Apri

The text of this website © Università degli studi di Padova. Full Text are published under a non-exclusive license. Metadata are under a CC0 License

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/13385