@article{354,
  author = {Ali Amiri, Mahmood Fathy},
  title = {Key-Frame Based Video Summarization Using QR-Decomposition},
  journal = {Journal of Networking Technology},
  year = {2010},
  volume = {1},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jnt/fulltext/v1n3/5.pdf},
  abstract = {In this paper, we propose a novel keyframe based video summarization system using QR-Decomposition. Specially, we attend to the challenges of defi ning some measures to detect the dynamicity of shot and video and extracting appropriate keyframes that assure the purity of video summary. We derive some effi cient measures to compute the dynamicity of video shots using QR-Decomposition and we utilize it in detecting the number of keyframes must be selected from each shot. Also, we derive a corollary that illustrates a new property of QR-Decomposition. We utilize this property in order to summarize video shots with low redundancy. The proposed algorithm is implemented and evaluated on TRECVID 2006 benchmark platform. Compared with results reported by others, our results are among the best. These results confi rm the high performance of the proposed algorithm.},
}