Abstract—The growing number of videos on the internet
requires effective management strategies. Video summarization
is a method for managing video data which provides succinct
versions of the videos for efficient browsing and retrieval. The
inter-frame disparity based key frame extraction is a popular
scheme for summarizing videos. However, the performance of
such schemes is limited by the fact that most of these techniques
select the first frame in a shot as key frame which may not be
representative of the shot. In this paper, we propose a saliency
inspired inter-frame difference based summarization scheme
which selects the most important frame of the shot based on
color contrast saliency. The preliminary experimental results
prove the efficacy of the proposed method.
Index Terms—Video summarization, key frame extraction,
image saliency, visual attention model, frame difference
measure.
The authors are with the Digital Contents Research Institute, Sejong
University, Seoul, Republic of Korea (e-mail:
naveed@sju.ac.kr,irfanmehmood@sju.ac.kr, Sajjad@sju.ac.kr,
sbaik@sejong.ac.kr).
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Cite:Naveed Ejaz, Irfan Mehmood, Muhammad Sajjad, and Sung Wook Baik, "Video Summarization by Employing Visual Saliency in a Sufficient Content Change Method," International Journal of Computer Theory and Engineering vol. 6, no. 1, pp. 26-29, 2014.
