Automatic categorization and summarization of documentaries

Date

2010-12-01

Author

Demirtas, Kezban
Çiçekli, Fehime Nihan
ÇİÇEKLİ, İLYAS

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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.

Subject Keywords

video categorization, video summarization, text summarization, WordNet domains

URI

https://hdl.handle.net/11511/102383

Journal

JOURNAL OF INFORMATION SCIENCE

DOI

https://doi.org/10.1177/0165551510382070

Collections

Department of Computer Engineering, Article

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Citation Formats

K. Demirtas, F. N. Çiçekli, and İ. ÇİÇEKLİ, “Automatic categorization and summarization of documentaries,” JOURNAL OF INFORMATION SCIENCE, vol. 36, no. 6, pp. 671–689, 2010, Accessed: 00, 2023. [Online]. Available: https://hdl.handle.net/11511/102383.