Interstitial Content Detection
This addresses the issue of identifying obstructive content online for web users, but it is incremental as it focuses on exploratory methods without significant new breakthroughs.
The paper tackled the problem of detecting interstitial content on web pages using computer vision techniques, resulting in exploratory research and a potential labelled dataset for machine learning.
Interstitial content is online content which grays out, or otherwise obscures the main page content. In this technical report, we discuss exploratory research into detecting the presence of interstitial content in web pages. We discuss the use of computer vision techniques to detect interstitials, and the potential use of these techniques to provide a labelled dataset for machine learning.