Special Offer: Get 50% off your first 2 months when you do one of the following
Personalized offer codes will be given in each session

(AIMS 2020) A Mobile Application using Deep Learning to Automatically Classify Adult-only Images

About This Webinar

Abstract: The Internet has become an essential part of everyday life. It links people with enormous amounts of information covering almost any topic imaginable. However harmful or inappropriate information such as pornography can also be easily found on the web which should not always be available, especially to minors. Internet filters are typically used to block such inappropriate content. These are largely based on the metadata related to the websites or by directly blocking the URLs related to those websites. How-ever seemingly innocuous websites can contain undesirable images that should not be accessible to children. In this paper, we describe how images and videos can automatically be identified (classified) without any human supervision based on their subject matter. To achieve this, we apply deep learning methods to detect and classify adult-only image content from both images and live videos. We use the TensorFlow library and two pre-trained models: MobileNet_v1 and Inception_v3, with an official (academic) pornography dataset including associated labelling. The performance of each model was investigated. The final solution was delivered as an iOS application to detect and classify photos and live videos based on their adult-only content. The app achieved an accuracy of over 92%.

Authors: Richard Sinnott (University of Melbourne, Australia)

Email: rsinnott66@gmail.com

Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Services Society
Professor Richard O. Sinnott is Professor of Applied Computing Systems at the University of Melbourne. He has a PhD in Computing Science, an MSc in Software Engineering and a BSc in Theoretical Physics (Hons). He is technical lead on a multitude of large-scale international projects with emphasis on security worth over $400m. This includes numerous projects in the biomedical domain and includes disease registries and clinical trials and observational studies involving thousands of patients. He has over 400 peer-reviewed publications across a range of computing and application-specific domains.
Hosted By
Services Society webinar platform hosts (AIMS 2020) A Mobile Application using Deep Learning to Automatically Classify Adult-only Images
Services Society's Channel