Abstract
Key frame extraction was an important step in video retrieval.In order to effectively extract key frames of different video types,a key frame extraction algorithm based on particle swarm was proposed in this paper.This method first extracted the global motion and local motion features in each frame,and video key frame was extracted by Particle Swarm Optimization(PSO) adaptively.The experimental results show that the key frame extraction algorithm for different types of video is more representative.
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