Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 12, September 2019

An Image Classification-based Approach to Automate Video Playing Detection at System Level

  Authors

Eric Liu1 Samuel Walcoff2, Qi Lu2 and Yu Sun3, 1Aracadia High School, USA, 2University of California, USA and 3California State Polytechnic University, USA

  Abstract

Tech distraction has become a critical issue on people’s work and study productivity, particularly with the growing amount of digital content from the social media site such as Youtube. Although browser-based plug-ins are available to help block and monitor the sites, they do not work for all scenarios. In this paper, we present a system-level video playing detection engine that captures screenshots and analyze the screenshot image using deep learning, in order to predict whether the image has videos in it or not. A mobile app has also been developed to enable parents to control the video playing detection remotely.

  Keywords

Machine learning, Tech distraction, Image classification