Video shot analysis using efficient multiple object tracking
Vivin Vinod, Hiroshi Murase · 1997
We present a method for analyzing video shots by tracking interesting objects in the video. Tracking employs efficient object search using upper bound pruning and statistical prediction of search area. The trades are analyzed to identify representative frames in shot and to build a concise representation. Experimental results on different types of video data are promising.