Summarization of documentaries
Computer and Information Sciences
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Video summarization algorithms present condensed versions of a full length video by identifying the most significant parts of the video. In this paper, we propose an automatic video summarization method using the subtitles of videos and text summarization techniques. We identify significant sentences in the subtitles of a video by using text summarization techniques and then we compose a video summary by finding the video parts corresponding to these summary sentences. © 2011 Springer Science+Business Media B.V.
Published Version (Please cite this version)https://doi.org/10.1007/978-90-481-9794-1_21
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Demirtas, K.; Cicekli, N. K.; Cicekli, I. (Sage Publications Ltd., 2010)In this paper, we propose automatic categorization and summarization of documentaries using subtitles of videos. We propose two methods for video categorization. The first makes unsupervised categorization by applying ...
Aksoy, Cem; Buğdaycı, Ahmet; Gür, Tunay; Uysal, İbrahim; Can, Fazlı (IEEE, 2009-09)Semantic Role Labeling (SRL) aims to identify the constituents of a sentence, together with their roles with respect to the sentence predicates. In this paper, we introduce and assess the idea of using SRL on generic ...
Ercan, Gönenç; Çiçekli, İlyas (Springer, 2008-02)In this paper, we attack the problem of forming extracts for text summarization. Forming extracts involves selecting the most representative and significant sentences from the text. Our method takes advantage of the lexical ...