Media Content Access: Image-based Filtering
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 3
Abstract
As the content on the internet contains sensitive adult material, filtering and blocking this content is essential for the social and ethical values of the many societies and organizations. In this paper, the content filtering is explored from still images perspectives. Thus, this article investigates and analyses the content based filtering which can help in the flagging of the images as adult nature or safe images. As the proposed approach is based on the Chroma (colour) based skin segmentation and detection for detecting the objectionable content in images, therefore, the approach proceeds in the direction of the classical Machine Learning approaches and uses the two well-known classifiers: The Random Forest and the Neural Network. Their fusion is also investigated. Skin colour is analyzed in the YCbCr colour space and in the form of blob analysis. With the “Adult vs Safe” classification, an Accuracy of 0.88 and the low RMSE of 0.313 is achieved, indicating the usefulness of the detection model.
Authors and Affiliations
Rehan Ullah Khan, Ali Alkhalifah
Keywords
Related Articles
- EP ID EP278340
- DOI 10.14569/IJACSA.2018.090355
- Views 88
- Downloads 0
Regression-Based Feature Selection on Large Scale Human Activity Recognition
In this paper, we present an approach for regression-based feature selection in human activity recognition. Due to high dimensional features in human activity recognition, the model may have over-fitting and can’t learn...
An Embedded Modbus Compliant Interactive Operator Interface for a Variable Frequency Drive Using Rs 485
The paper proposes the architecture and software design of a Modbus Compliant Operator Interface Panel (MCOIP) for a high speed Variable Frequency Drive (VFD) – a state of the art embedded design that offers several key...
Segmentation of the Breast Region in Digital Mammograms and Detection of Masses
The mammography is the most effective procedure for an early diagnosis of the breast cancer. Finding an accurate and efficient breast region segmentation technique still remains a challenging problem in digital mam...
Fuzzy Risk-based Decision Method for Vehicular Ad Hoc Networks
A vehicular ad hoc network (VANET) is an emerging technology that has the potential to improve road safety and traveler comfort. In VANETs, mobile vehicles communicate with each other for the purpose of sharing various k...
Cloud Computing: Empirical Studies in Higher Education A Literature Review
The advent of cloud computing (CC) in recent years has attracted substantial interest from various institutions, especially higher education institutions, which wish to consider the advantages of its features. Many unive...