Abstract
Nowadays, a summarization of videos for copyright application is an interested research area in computer vision. Key frames extraction is crucial phase in video summarization. This work proposed a method for key frames extraction. The method consists of two operations for covering the content of the whole video sequence. Firstly, a set of candidates key frames are extracted based on adaptive thresholding of difference of histogram of adjacent frames of video data. Secondly, the extraction of a final key frames is done depending on computing Euclidian distance between two adjacent frames in candidates key frames set. The proposed method was tested with a set of standard and online television videos. The experimental results show the efficiency of the proposed system.
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