Key frame number assignment measuring content variations

We propose a new and fast algorithm for assigning the number of key frames to video shots. After the entire video sequence is segmented into elementary content unit called shots and then the key frame number assignment is performed by calculating the accumulated value of CVF(content variation function). The proposed algorithm is based on the amount of content variations using DC images extracted from compressed video. By assigning the number of key frames to the shot that has the largest value of content function, one key frame is assigned at a time until you run out of given all key frames. The main advantage of our proposed method is that we do not need to use time-exhaustive computations in allocating the key frames over the shot and can perform it fully automatically.