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Storyboard generation in real-time is a task which aims at producing a meaningful summary of a video in a duration which is comparable to its length. The main challenge in real-time videos is to extract a set of key-frames on the fly, without having access to the full content. A fast and accurate generation of a dynamic threshold is important to ensure that the summary produced is a succinct representation...
A video summarization technique is proposed in this work using minimal spanning tree (MST) of data points. The data points correspond to image frames of a shot in the video which is to be summarized. Correlation is chosen as a similarity metric for computing the edge weights of the MST. The representative frames for each shot are chosen by computing the density of each data point. A novel method for...
Static video summarization techniques aim to represent the salient content in a video by extracting a set of key-frames for presentation to the user. An efficient key-frame extraction process is thus vital for effective video summarization, browsing and indexing in content-based video retrieval systems. In this paper, a three phased approach for key-frame extraction is proposed which aims to represent...
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