Interactive mobile media search engine

The proliferation of mobile devices with high-resolution built-in camera has led to a new form of information searching: the input of search engine is no longer restricted to text only, but extended into the form of image and voice as well. In particular, mobile visual search has been widely studied...

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Main Author: Tay, Jun Bao.
Other Authors: Yap Kim Hui
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/53035
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-530352023-07-07T16:05:30Z Interactive mobile media search engine Tay, Jun Bao. Yap Kim Hui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The proliferation of mobile devices with high-resolution built-in camera has led to a new form of information searching: the input of search engine is no longer restricted to text only, but extended into the form of image and voice as well. In particular, mobile visual search has been widely studied by researchers to develop the new kind of search engine that is adaptable to image-based input. Different approaches have been proposed to optimize the process of feature matching and geometric verification (GV) of images so that the retrieval result is accurate and efficient. The objective of this thesis is to optimize the performance of mobile visual search system in terms of classification accuracy and time performance. The goal was achieved through analyzing the problem of the current GV, as well as, investigating the parameters or thresholds used in pairwise matching and RANSAC estimation algorithm. Different variations of robust estimation of geometric transformation were also explored as the possible alternatives other than RANSAC, such as PROSAC, MLESAC and SCRAMSAC. We have addressed the problem in the implementation of mobile visual search as well as the necessity to speed up the process of GV while maintaining a considerable improvement on the classification accuracy. Bachelor of Engineering 2013-05-29T08:06:44Z 2013-05-29T08:06:44Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53035 en Nanyang Technological University 51 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::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Tay, Jun Bao.
Interactive mobile media search engine
description The proliferation of mobile devices with high-resolution built-in camera has led to a new form of information searching: the input of search engine is no longer restricted to text only, but extended into the form of image and voice as well. In particular, mobile visual search has been widely studied by researchers to develop the new kind of search engine that is adaptable to image-based input. Different approaches have been proposed to optimize the process of feature matching and geometric verification (GV) of images so that the retrieval result is accurate and efficient. The objective of this thesis is to optimize the performance of mobile visual search system in terms of classification accuracy and time performance. The goal was achieved through analyzing the problem of the current GV, as well as, investigating the parameters or thresholds used in pairwise matching and RANSAC estimation algorithm. Different variations of robust estimation of geometric transformation were also explored as the possible alternatives other than RANSAC, such as PROSAC, MLESAC and SCRAMSAC. We have addressed the problem in the implementation of mobile visual search as well as the necessity to speed up the process of GV while maintaining a considerable improvement on the classification accuracy.
author2 Yap Kim Hui
author_facet Yap Kim Hui
Tay, Jun Bao.
format Final Year Project
author Tay, Jun Bao.
author_sort Tay, Jun Bao.
title Interactive mobile media search engine
title_short Interactive mobile media search engine
title_full Interactive mobile media search engine
title_fullStr Interactive mobile media search engine
title_full_unstemmed Interactive mobile media search engine
title_sort interactive mobile media search engine
publishDate 2013
url http://hdl.handle.net/10356/53035
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