| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 455755 | Computers & Electrical Engineering | 2013 | 7 Pages |
Non-annotated video is more common than ever and this fact leads to an emerging field called video summarization. Key frame selection using motion analysis can greatly increase the understanding of the video content by presenting a series of frames summarizing the intended video. In this paper, we present an automatic video summarization technique based on motion analysis. The proposed technique defines motion metrics estimated from two optical flow algorithms, each using two different key frame selection criteria. We conducted a subjective user study to evaluate the performance of the motion metrics. The summarization process is threshold free and experimental results have verified the effectiveness of the method.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► An automatic video summarization technique based on motion analysis. ► A subjective user study to evaluate the performance of the proposed technique. ► The method is threshold free and generated summaries are representative. ► Resulting key frames depend on the perceived motion patterns of the video.
