Abstract
The temporal synchronization of presentation slides and lecture videos enables us to enhance the user experience of online lecture viewing systems. In this work, we present a novel approach to robustly and reliably detect and recognize slide changes, which is based on bit rate sequences. By exploiting readily available information, the computational complexity of the approach is very low. In contrast to prior work, no requirements on the amount or type of texture, motion of foreground objects, or text size on the slide are imposed. Experimental results show the ability to detect even minor slide changes and demonstrate the robustness against occlusions, foreground motion, and camera motion.