Identifying the pornographic video on youtube using vlog stream

Today, YouTube is the most used platform for sharing videos from individual to organizations. Along with the sharing videos, YouTube creates a social networking platform by allowing sharing of feelings, views, and opinions about a video called vlog. It also allows uploading of videos of all ages (ch...

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Bibliographic Details
Main Authors:	Md Kamrul, Islam, Ahmed, M. M., Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/25169/ http://umpir.ump.edu.my/id/eprint/25169/ http://umpir.ump.edu.my/id/eprint/25169/1/53.%20Identifying%20the%20pornographic%20video%20on%20youtube.pdf http://umpir.ump.edu.my/id/eprint/25169/2/53.1%20Identifying%20the%20pornographic%20video%20on%20youtube.pdf

id	ump-25169
recordtype	eprints
spelling	ump-251692019-11-11T07:26:15Z http://umpir.ump.edu.my/id/eprint/25169/ Identifying the pornographic video on youtube using vlog stream Md Kamrul, Islam Ahmed, M. M. Kamal Z., Zamli QA76 Computer software Today, YouTube is the most used platform for sharing videos from individual to organizations. Along with the sharing videos, YouTube creates a social networking platform by allowing sharing of feelings, views, and opinions about a video called vlog. It also allows uploading of videos of all ages (child, young and old people). YouTube has its policy for defining age-restricted content on YouTube. But a lot of uploaded videos are not marked as age restricted though they actually contain pornographic contents. YouTube has a team for reviewing the video content upon receiving a report from the user only. All the existing methods identify the pornographic video based on the visual or audio-visual features of video. However, there is no automatic method exist the author aware of identifying them based on vlogger sentiment. Thus, the challenge of automatically detecting this kind of video content is significant in applications like content filtering, detection of illegal content, etc. In this paper, we present an automatic method for identifying the pornographic content on YouTube based on the vlog stream. The experiment has been executed on both the age-restricted vlog stream and non-restricted vlog stream to validate the proposed method. The experimental result shows the effectiveness of the proposed methodology with nearly 80% accuracy. IEEE 2018 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25169/1/53.%20Identifying%20the%20pornographic%20video%20on%20youtube.pdf pdf en http://umpir.ump.edu.my/id/eprint/25169/2/53.1%20Identifying%20the%20pornographic%20video%20on%20youtube.pdf Md Kamrul, Islam and Ahmed, M. M. and Kamal Z., Zamli (2018) Identifying the pornographic video on youtube using vlog stream. In: 4th IEEE International Conference on Computing Communication and Automation, ICCCA 2018, 14-15 December 2018 , India. pp. 1-6.. ISBN 978-153866947-1 https://doi.org/10.1109/CCAA.2018.8777614
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Md Kamrul, Islam Ahmed, M. M. Kamal Z., Zamli Identifying the pornographic video on youtube using vlog stream
description	Today, YouTube is the most used platform for sharing videos from individual to organizations. Along with the sharing videos, YouTube creates a social networking platform by allowing sharing of feelings, views, and opinions about a video called vlog. It also allows uploading of videos of all ages (child, young and old people). YouTube has its policy for defining age-restricted content on YouTube. But a lot of uploaded videos are not marked as age restricted though they actually contain pornographic contents. YouTube has a team for reviewing the video content upon receiving a report from the user only. All the existing methods identify the pornographic video based on the visual or audio-visual features of video. However, there is no automatic method exist the author aware of identifying them based on vlogger sentiment. Thus, the challenge of automatically detecting this kind of video content is significant in applications like content filtering, detection of illegal content, etc. In this paper, we present an automatic method for identifying the pornographic content on YouTube based on the vlog stream. The experiment has been executed on both the age-restricted vlog stream and non-restricted vlog stream to validate the proposed method. The experimental result shows the effectiveness of the proposed methodology with nearly 80% accuracy.
format	Conference or Workshop Item
author	Md Kamrul, Islam Ahmed, M. M. Kamal Z., Zamli
author_facet	Md Kamrul, Islam Ahmed, M. M. Kamal Z., Zamli
author_sort	Md Kamrul, Islam
title	Identifying the pornographic video on youtube using vlog stream
title_short	Identifying the pornographic video on youtube using vlog stream
title_full	Identifying the pornographic video on youtube using vlog stream
title_fullStr	Identifying the pornographic video on youtube using vlog stream
title_full_unstemmed	Identifying the pornographic video on youtube using vlog stream
title_sort	identifying the pornographic video on youtube using vlog stream
publisher	IEEE
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/25169/ http://umpir.ump.edu.my/id/eprint/25169/ http://umpir.ump.edu.my/id/eprint/25169/1/53.%20Identifying%20the%20pornographic%20video%20on%20youtube.pdf http://umpir.ump.edu.my/id/eprint/25169/2/53.1%20Identifying%20the%20pornographic%20video%20on%20youtube.pdf
first_indexed	2023-09-18T22:38:30Z
last_indexed	2023-09-18T22:38:30Z
_version_	1777416757089140736

Identifying the pornographic video on youtube using vlog stream

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