Scene Separation & Data Selection: Temporal Segmentation Algorithm for
  Real-Time Video Stream Analysis
Yuelin Xin Zihan Zhou Yuxuan Xia
We present 2SDS (Scene Separation and Data Selection algorithm), a temporal
segmentation algorithm used in real-time video stream interpretation. It
complements CNN-based models to make use of temporal information in videos.
2SDS can detect the change between scenes in a video stream by com-paring the
image difference between two frames. It separates a video into segments
(scenes), and by combining itself with a CNN model, 2SDS can select the optimal
result for each scene. In this paper, we will be discussing some basic methods
and concepts behind 2SDS, as well as presenting some preliminary experiment
results regarding 2SDS. During these experiments, 2SDS has achieved an overall
accuracy of over 90%.