计算机科学 ›› 2014, Vol. 41 ›› Issue (8): 286-288.doi: 10.11896/j.issn.1002-137X.2014.08.060
顾益军,解易,夏天
GU Yi-jun,XIE Yi and XIA Tian
摘要: 视频关键帧提取技术是对视频进行摘要来提高视频内容访问效率的一种操作。传统的方法主要采用聚类的方法,未给出可信的关键帧代表性描述。尝试基于图计算算法实现关键帧抽取,该算法可以将一段视频中候选帧及其之间的关系表示成一个相关图,通过各帧间基于相关性对相邻帧的分值分配进行迭代计算,实现候选帧内容代表性评价;并提出了一种高效的帧间相关性计算方法。该方法通过两帧图像的最大稳定颜色区域(maximally stable colour region,MSCR)的匹配情况判定它们的相关性。在测试视频上将该算法与传统算法进行了对比测试,测试的结果验证了该算法的有效性。
[1] Zhuang Y,Rui Y,Huang T S.Video key frame extraction byunsupervised clustering and feedback adjustment[J].Journal of Computer Science and Technology,1999,14(3):283-287 [2] Zhao L,Qi W,Li S Z,et al.Key-frame extraction and shot retrieval using nearest feature line (NFL)[C]∥Proceedings of the 2000 ACM workshops on Multimedia.New York:ACM,2000:217-220 [3] Pan R,Tian Y,Wang Z.Key-Frame Extraction Algorithm Based on Entropy[C]∥2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE).IEEE,2010:1-4 [4] Liu T,Zhang H J,Qi F.A novel video key-frame-extraction algorithm based on perceived motion energy model[J].IEEE Transactions on Circuits and Systems for Video Technology,2003,13(10):1006-1013 [5] Li C,Wu Y T,Yu S S,et al.Motion-focusing key frame extraction and video summarization for lane surveillance system[C]∥2009 16th IEEE International Conference on Image Processing (ICIP).Cairo:IEEE,2009:4329-4332 [6] Brin S,Page L.The anatomy of a large-scale hypertextual Web search engine[J].Computer Networks and ISDN Systems,1998,30(1):107-117 [7] Forssen P E.Maximally stable colour regions for recognition and matching[C]∥IEEE Conference on Computer Vision and Pattern Recognition,2007(CVPR’07).IEEE,2007:1-8 [8] Matas J,Chum O,Urban M,et al.Robust wide-baseline stereo from maximally stable extremal regions[J].Image and Vision Computing,2004,22(10):761-767 [9] Fischler M A,Bolles R C.Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of the ACM,1981,24(6):381-395 |
No related articles found! |
|