Global motion compensated key frame extraction from compressed videos
A key frame extraction approach, based on change detection of DC images extracted from compressed video, is proposed in this paper. We define a simple pixel change map that captures additional information in a frame with respect to its adjacent frames. Since global motion contributes to pixel changes, falsely indicating the presence of key frames, it is compensated by adaptively filtering the pixel change map using a modified version of the least mean square (LMS) algorithm. The prediction errors thus obtained are used to subsequently select the key frames. The key frames are selected so that the cumulative prediction error is partitioned into equal amounts in each segment. The entire procedure is computationally simple and flexible. Experimental results illustrate the good performance of the proposed algorithm.