Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment

Recently in Malaysia, digital out-of-home (DOOH) advertising is getting common. It is a marketing tool to promote the branding of a product or service in the high population flow area. The existing DOOH advertising in Malaysia only broadcast the advertisement in a continuous and random manner withou...

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主要作者:	Loo, Eng Keong
格式:	Thesis
出版:	2021
主题:	TA1501-1820 Applied optics Photonics
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id	my-mmu-ep.11423
record_format	uketd_dc
spelling	my-mmu-ep.114232023-05-22T07:31:49Z Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment 2021-01 Loo, Eng Keong TA1501-1820 Applied optics. Photonics Recently in Malaysia, digital out-of-home (DOOH) advertising is getting common. It is a marketing tool to promote the branding of a product or service in the high population flow area. The existing DOOH advertising in Malaysia only broadcast the advertisement in a continuous and random manner without considering the presence of the audience. This causes the audience most likely to perceive some irrelevant advertisements. The recent advances of facial analysis unlock the potential of the DOOH media towards the targeted advertising manner. Therefore, the DOOH media is able to deliver a customised advertisement based on the facial attributes of the audience. However, the DOOH media is commonly operating in an uncontrolled environment. In such an environment, facial analysis faces two main challenges which are blurry faces and misaligned faces. These challenges are noises that increase the difficulty in feature extraction. In this thesis, meFusion, a handcrafted feature extraction method for gender estimation is proposed to handle the aforementioned challenges without going through the pre-processing stage. Bypassing the preprocessing stage is able to reduce the workload of DOOH media. A series of experiments that simulate the challenges are conducted. The experiments result show meFusion has the highest tolerance towards the noises, while compared with the existing handcrafted feature extraction method. A designed gender estimation framework that incorporates meFusion to realise the targeted advertising on DOOH media. A series of experiments that compare the designed framework with a pre-trained model from cloud services such as Google Cloud’s Vision API and Microsoft Azure Face. At the same time, a newly collected Malaysian face dataset in an uncontrolled environment, named Malaysian Ethnics Facial Database 2 (MEFD2), which consist of 2975 persons with a total of 13498 images, is applied in the experiments. 2021-01 Thesis http://shdl.mmu.edu.my/11423/ http://erep.mmu.edu.my/ masters Multimedia University Faculty of Engineering and Technology (FET) EREP ID: 9901
institution	Multimedia University
collection	MMU Institutional Repository
topic	TA1501-1820 Applied optics Photonics
spellingShingle	TA1501-1820 Applied optics Photonics Loo, Eng Keong Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment
description	Recently in Malaysia, digital out-of-home (DOOH) advertising is getting common. It is a marketing tool to promote the branding of a product or service in the high population flow area. The existing DOOH advertising in Malaysia only broadcast the advertisement in a continuous and random manner without considering the presence of the audience. This causes the audience most likely to perceive some irrelevant advertisements. The recent advances of facial analysis unlock the potential of the DOOH media towards the targeted advertising manner. Therefore, the DOOH media is able to deliver a customised advertisement based on the facial attributes of the audience. However, the DOOH media is commonly operating in an uncontrolled environment. In such an environment, facial analysis faces two main challenges which are blurry faces and misaligned faces. These challenges are noises that increase the difficulty in feature extraction. In this thesis, meFusion, a handcrafted feature extraction method for gender estimation is proposed to handle the aforementioned challenges without going through the pre-processing stage. Bypassing the preprocessing stage is able to reduce the workload of DOOH media. A series of experiments that simulate the challenges are conducted. The experiments result show meFusion has the highest tolerance towards the noises, while compared with the existing handcrafted feature extraction method. A designed gender estimation framework that incorporates meFusion to realise the targeted advertising on DOOH media. A series of experiments that compare the designed framework with a pre-trained model from cloud services such as Google Cloud’s Vision API and Microsoft Azure Face. At the same time, a newly collected Malaysian face dataset in an uncontrolled environment, named Malaysian Ethnics Facial Database 2 (MEFD2), which consist of 2975 persons with a total of 13498 images, is applied in the experiments.
format	Thesis
qualification_level	Master's degree
author	Loo, Eng Keong
author_facet	Loo, Eng Keong
author_sort	Loo, Eng Keong
title	Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment
title_short	Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment
title_full	Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment
title_fullStr	Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment
title_full_unstemmed	Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment
title_sort	gender analysis using simplified local binary pattern features under uncontrolled environment
granting_institution	Multimedia University
granting_department	Faculty of Engineering and Technology (FET)
publishDate	2021
_version_	1776101405056040960

Gender Analysis Using Simplified Local Binary Pattern Features Under Uncontrolled Environment

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