International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 132 - Issue 13 |
Published: December 2015 |
Authors: Tinumol Sebastian, Jiby J. Puthiyidam |
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Tinumol Sebastian, Jiby J. Puthiyidam . A Survey on Video Summarization Techniques. International Journal of Computer Applications. 132, 13 (December 2015), 30-32. DOI=10.5120/ijca2015907592
@article{ 10.5120/ijca2015907592, author = { Tinumol Sebastian,Jiby J. Puthiyidam }, title = { A Survey on Video Summarization Techniques }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 132 }, number = { 13 }, pages = { 30-32 }, doi = { 10.5120/ijca2015907592 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Tinumol Sebastian %A Jiby J. Puthiyidam %T A Survey on Video Summarization Techniques%T %J International Journal of Computer Applications %V 132 %N 13 %P 30-32 %R 10.5120/ijca2015907592 %I Foundation of Computer Science (FCS), NY, USA
Video summarization methods attempt to abstract the main occurrences, scenes, or objects in a clip in order to provide an easily interpreted synopsis. The main aim of Video summarization is to provide clear analysis of video by removing duplications and extracting key frames from the video. Video Summarization will divide the frames of the video into blocks and calculating the mean, variance, skew, kurtosis histogram of every block and comparing the same with the corresponding blocks of the next frame. There are many different methods used for Key frame extraction in video Summarization. Some important methods are compared. The frame with highest mean is selected as the key frame. The best method is selected based on the color distribution.