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Panyanat Aonpong. Automated face selection and censoring on image and video using artificial intelligent. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Automated face selection and censoring on image and video using artificial intelligent
Name: Ratchai Thipbumrung
Organization :
Silpakorn University. Faculty of Science
Email :
thipbumrung_r@silpakorn.edu
Name: Panyanat Aonpong
Organization :
Silpakorn University. Faculty of Science
Email :
aonpong_p@su.ac.th
keyword:
Face detection
Abstract:
The Personal Data Protection Act (PDPA) was
created to prevent the breach of personal information of users
of computer systems without the data owner's consent. One type
of data that frequently has problems with privacy violations is
images and videos. Because of difficult control, as a result, there
are often extraneous people in the frame instead of just the
intended subject. If the person caught in the frame does not
want this information published, there will be a problem with
that video. This causes the identity of the person to be concealed
so that they can be identified. Although doing this is an
acceptable method, censorship is labor-intensive and timeconsuming.
For these reasons, we proposed the Automated Face
Selection and Censoring on Image and Video System using
Multi-Task Cascaded Convolutional Neural Networks
(MTCNN) Model to automatically detect the face and censor
only unwanted persons. Furthermore, our proposed method
also executes an automated system that can sense and ignore
some frames that are not essential or redundant with other
nearby frames to reduce complex processing and timeconsumption.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-05-22
Issued:
2025-05-22
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.126-131). Phuket : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
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Ratchai Thipbumrung
| Title | Contributor | Type |
|---|---|---|
| Automated face selection and censoring on image and video using artificial intelligent
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Ratchai Thipbumrung;Panyanat Aonpong | บทความ/Article |
Panyanat Aonpong
| Title | Contributor | Type |
|---|---|---|
| Data augmentation enhanced multilayer perceptron neural network model for catalytic CO2 methanation
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kittithat Kongtaworn;Panyanat Aonpong;Nutchapon Chotigkrai | บทความ/Article | |
| Automated face selection and censoring on image and video using artificial intelligent
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Ratchai Thipbumrung;Panyanat Aonpong | บทความ/Article |