Video Summarization by Employing Visual Saliency in a Sufficient Content Change Method
Naveed Ejaz, Irfan Mehmood, Muhammad Husain As Sajjad, Sung Wook Baik · International Journal of Computer Theory and Engineering · 2013
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.