Local Receptive Field-Extreme Learning Machine based Adult Content Detection

Nouar Alfrahoul, Hezerul Abdul Karim, Mohd Haris Lye Abdullah, Mohammad Faizal Ahmad Fauzi, Sarina Mansour, John See

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Adult contents have become available everywhere whether in social networks, TV channels and websites. Children protection from pornographic contents is required in all societies and environments. Inappropriate visual contents have an impact on children's psychological development. Parents' censorship is important to solve the problem but this task is time consuming and needs full time employment for activities monitoring. Automatic censorship is highly required to be integrated in all types of media such as TV channels. This paper proposes an automated censorship system that is able to be implemented on low cost embedded system. The public dataset NPDI was used to train and evaluate the performance of the proposed deep model for visual contents detection. The key frames selected from videos are used for porn/non-porn classification. Efficient features have to be extracted in order to perform accurate classification. The paper utilizes a local Receptive Field-Extreme Learning Machine (LRF-ELM) model which is a fast deep learning model to extract features and map them to specific classes in a short time. Our proposed method was found to give good performance in terms of accuracy and training time. The accuracy of 82.9% was achieved by using a normal Central Processing Unit (CPU).

Original languageEnglish
Title of host publication2019 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)
PublisherIEEE
Pages128-133
Number of pages6
ISBN (Electronic)9781728133775
DOIs
Publication statusPublished - 3 Feb 2020
Event2019 IEEE International Conference on Signal and Image Processing Applications - Kuala Lumpur, Malaysia
Duration: 17 Sep 201919 Sep 2019

Conference

Conference2019 IEEE International Conference on Signal and Image Processing Applications
Abbreviated titleICSIPA 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/09/1919/09/19

Keywords

  • adult content detection
  • Deep Learning
  • Extreme Learning Machine
  • Feature Extraction
  • Local Receptive Field

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics
  • Artificial Intelligence

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