Sports video summarization based on motion analysis
Mendi, Engin and Clemente, Helio B. and Bayrak, Coskun
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Abstract
Non-annotated video is more common than ever and this fact leads to an
emerging field called video summarization. Key frame selection using
motion analysis can greatly increase the understanding of the video
content by presenting a series of frames summarizing the intended video.
In this paper, we present an automatic video summarization technique
based on motion analysis. The proposed technique defines motion metrics
estimated from two optical flow algorithms, each using two different key
framee selection criteria. We conducted a subjective user study to
evaluate the performance of the motion metrics. The summarization
process is threshold free and experimental results have verified the
effectiveness of the method. (C) 2012 Elsevier Ltd. All rights reserved.... Show more Show less