Summarization of documentaries
Computer and Information Sciences
105 - 108
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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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Ercan, Gönenç; Can, Fazlı (Springer, 2009-04)In this paper we present a generic, language independent multi-document summarization system forming extracts using the cover coefficient concept. Cover Coefficient-based Summarizer (CCS) uses similarity between sentences ...
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 ...
Kutlu, M.; Cığır, C.; Cicekli, I. (Oxford University Press, 2010)In this paper, we propose a generic text summarization method that generates summaries of Turkish texts by ranking sentences according to their scores. Sentence scores are calculated using their surface-level features, and ...