An effective framework of shot segmentation based on I-Frame in compressed-domain videos
Jinlong Zheng, Mingjun Li, Mingxin Zhang, Jian Hua Zhou, Zai-De Liu · 2012
In this paper, we propose an effective frame of shot segmentation in compress-domain videos. Firstly, we extract DC coefficients of I-frames in compressed-domain, and construct a sequence of DC-images which are on the basis of DC coefficients in I-Frames. Secondly, the difference between two adjacent DC-images is calculated by integrating grid-mapping dynamic window, color moments and spatial distribution entropy of colors. It comes true that most shot boundaries are pre-detected. Finally, more accurate shot boundaries or wrong shot boundaries are detected by the analysis of Macro-block in P or B frame between two adjacent I-Frames on a detected segmentation position. The experiments show that the frame efficiently has improved the performance of shot detection, and to a certain extent, the complexity of the shot detection can be reduced.