A framework for key frame extraction from surveillance video

Key frame extraction from video is area of interest in many applications, like video analysis, video summary, semantic video indexing, video organization, and video compression. In this paper, we propose a framework for key frame extraction. The proposed framework consists of two steps: First, the size of input video shot is reduced by eliminating those frames of the shot which are not distinguishable by a human eye. Then the motion energy between the remaining frames of the input video shot is calculated and those frames are extracted as key frames in which the optical flow becomes maximum. The experimental results provide evidence of the effectiveness of the proposed approach.