Interactive information mobile services

Content-based image retrieval has been intensively research upon with techniques ranging from image feature extraction, representation, indexing etc. The Final Year Project report aims to cover the theoretical background, investigates different approaches in content-based image retrieval and perform...

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Bibliographic Details
Main Author: Loke, Yu Juan.
Other Authors: Yap Kim Hui
Format: Final Year Project (FYP)
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49878
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author Loke, Yu Juan.
author2 Yap Kim Hui
author_facet Yap Kim Hui
Loke, Yu Juan.
author_sort Loke, Yu Juan.
collection NTU
description Content-based image retrieval has been intensively research upon with techniques ranging from image feature extraction, representation, indexing etc. The Final Year Project report aims to cover the theoretical background, investigates different approaches in content-based image retrieval and performance analysis of image recognition system which targets mobile applications. Bag-of-Words framework is adapted into the project where each image is modeled as a collection of features plotted over a histogram. Two feature extraction methods were used - dense sampling based and keypoint sampling based approach. Hierarchical k-means approach is used in clustering and scalable vocabulary tree is used in machine learning.From the testing results, Geometric verification on the initial matching results is proposed to improve the performance accuracy. Two methods were implemented, Harris corner detection and Lowe’s keypoint matching. Both methods increased the performance accuracy but at the expense of longer time duration.
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spelling ntu-10356/498782023-07-07T18:00:20Z Interactive information mobile services Loke, Yu Juan. Yap Kim Hui Zhu Ce School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Content-based image retrieval has been intensively research upon with techniques ranging from image feature extraction, representation, indexing etc. The Final Year Project report aims to cover the theoretical background, investigates different approaches in content-based image retrieval and performance analysis of image recognition system which targets mobile applications. Bag-of-Words framework is adapted into the project where each image is modeled as a collection of features plotted over a histogram. Two feature extraction methods were used - dense sampling based and keypoint sampling based approach. Hierarchical k-means approach is used in clustering and scalable vocabulary tree is used in machine learning.From the testing results, Geometric verification on the initial matching results is proposed to improve the performance accuracy. Two methods were implemented, Harris corner detection and Lowe’s keypoint matching. Both methods increased the performance accuracy but at the expense of longer time duration. Bachelor of Engineering 2012-05-25T03:45:36Z 2012-05-25T03:45:36Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49878 en Nanyang Technological University 72 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Loke, Yu Juan.
Interactive information mobile services
title Interactive information mobile services
title_full Interactive information mobile services
title_fullStr Interactive information mobile services
title_full_unstemmed Interactive information mobile services
title_short Interactive information mobile services
title_sort interactive information mobile services
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
url http://hdl.handle.net/10356/49878
work_keys_str_mv AT lokeyujuan interactiveinformationmobileservices