Automated detection of profanities for film censorship using deep learning
Given the excessive profanities identified in audio and video files and the detrimental consequences to an individual‟s character and behaviour, content censorship is crucial to filter profanities from young viewers with higher exposure to uncensored content. Although manual detection and censorship...
Saved in:
Main Author: | Ba Wazir, Abdulaziz Saleh |
---|---|
Format: | Thesis |
Published: |
2022
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning for face detection using matlab
by: Slim, Salim Adnan
Published: (2020) -
Video analytics using deep learning for hajj pilgrimage crowd monitoring
by: Bhuiyan, Md Roman
Published: (2022) -
ESET-ConvNet: Deep learning hybrid model for stock price prediction
by: Ang, John Syin
Published: (2022) -
Deep Learning Based Prediction Framework For Univariate Time-Series Smart Home Energy Consumption
by: Hussain, Syed Nazir
Published: (2021) -
Fall Detection Using Pressure Sensor Grid With Machine Learning Classifiers
by: Sivakumar, Viknesh Kumar
Published: (2020)