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
![[img]](http://umpir.ump.edu.my/style/images/fileicons/other.png) |
Pdf
53. Identifying the pornographic video on youtube.pdf Restricted to Repository staff only Download (286kB) | Request a copy |
|
|
Pdf
53.1 Identifying the pornographic video on youtube.pdf Download (90kB) | Preview |
Abstract
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.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | You Tube; Pornographic content; Vlog stream; Sentiment analysis |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 11 Nov 2019 07:26 |
| Last Modified: | 11 Nov 2019 07:26 |
| URI: | http://umpir.ump.edu.my/id/eprint/25169 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |