Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance

Deep Learning (DL) is increasingly being integrated into Web applications through a method known as "in-browser inference", where the DL processes occur directly within Web browsers. However, the actual performance of this method and its effect on user experience quality (QoE) is not well-understood. This gap in knowledge necessitates new forms of QoE measurement, going beyond traditional metrics such as page load time. To address this, we conducted the first extensive performance evaluation of in-browser inference. We introduced new metrics …

applications browser browsers cs.lg cs.pf deep learning deep learning inference experience impact inference performance processes quality through web web browsers