Shot Segmentation Based on HSV Color Model
Qiang Lin · Journal of Xiamen University · 2008
To overcome the interference produced by illumination changing and movement during shot detection,this paper proposed a new method for shot segmentation.It firstly transforms the video pictures from RGB space to HSV space,then requantitates the H and S components of pictures to 127 chroma areas,finally detects the shot's change by computing the coincident degree in chroma areas between frames.In addition,it adopts a false-shot-analysis strategy to weaken the interference brought by fast change of pictures.The experiment results indicated that the algorithm had high accuracy and recall ratio,as well as fast processing speed.So it is suitable for shot segmentation.