Automatic categorization and summarization of documentaries
Author
Demirtas, K.
Cicekli, N. K.
Cicekli, I.
Date
2010Source Title
Journal of Information Science
Print ISSN
0165-5515
Publisher
Sage Publications Ltd.
Volume
36
Issue
6
Pages
671 - 689
Language
English
Type
ArticleItem Usage Stats
129
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135
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downloads
Abstract
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 natural language processing techniques on video subtitles and uses the WordNet lexical database and WordNet domains. The second has the same extraction steps but uses a learning module to categorize. Experiments with documentary videos give promising results in discovering the correct categories of videos. We also propose a video summarization method using the subtitles of videos and text summarization techniques. Significant sentences in the subtitles of a video are identified using these techniques and a video summary is then composed by finding the video parts corresponding to these summary sentences. © 2010 The Author(s).
Keywords
Text summarizationVideo categorization
Video summarization
WordNet domains
Automatic categorization
Learning modules
Lexical database
Natural language processing
Text summarization