Mobile-based logo recognition for personalized advertisement

In the study of image recognition for mobile devices, the Bag of Words framework is an efficient method that has been commonly used. As such, this Final Year Project report covers theories behind the framework. Experiments were carried out to analyze the potential of the framework. Steps were also t...

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Main Author: Tan, Kai Hui.
Other Authors: Yap Kim Hui
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/50184
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-501842023-07-07T16:58:58Z Mobile-based logo recognition for personalized advertisement Tan, Kai Hui. Yap Kim Hui School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision In the study of image recognition for mobile devices, the Bag of Words framework is an efficient method that has been commonly used. As such, this Final Year Project report covers theories behind the framework. Experiments were carried out to analyze the potential of the framework. Steps were also taken to construct logo databases catered to these experiments. Bachelor of Engineering 2012-05-30T08:54:18Z 2012-05-30T08:54:18Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50184 en Nanyang Technological University 60 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Tan, Kai Hui.
Mobile-based logo recognition for personalized advertisement
description In the study of image recognition for mobile devices, the Bag of Words framework is an efficient method that has been commonly used. As such, this Final Year Project report covers theories behind the framework. Experiments were carried out to analyze the potential of the framework. Steps were also taken to construct logo databases catered to these experiments.
author2 Yap Kim Hui
author_facet Yap Kim Hui
Tan, Kai Hui.
format Final Year Project
author Tan, Kai Hui.
author_sort Tan, Kai Hui.
title Mobile-based logo recognition for personalized advertisement
title_short Mobile-based logo recognition for personalized advertisement
title_full Mobile-based logo recognition for personalized advertisement
title_fullStr Mobile-based logo recognition for personalized advertisement
title_full_unstemmed Mobile-based logo recognition for personalized advertisement
title_sort mobile-based logo recognition for personalized advertisement
publishDate 2012
url http://hdl.handle.net/10356/50184
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