NDLI: Automated summarization of narrative video on a semantic level

Content Provider	IEEE Xplore Digital Library
Author	Tsoneva, T. Barbieri, M. Weda, H.
Copyright Year	2007
Description	Author affiliation: Philips Res. Eur., Eindhoven (Tsoneva, T.; Barbieri, M.; Weda, H.)
Abstract	The movie industry produces thousands of feature films and TV series annually. Such massive data volumes would take consumers more than a lifetime to watch. Therefore, summarization of narrative media, which engages in providing concise and informative video summaries, has become a popular topic of research. However, most of the summarization solutions so far aim to represent just the overall atmosphere of the video at the expense of the story line. In this paper we describe a novel approach for automated creation of summaries for narrative videos. We propose an automated content analysis and summarization framework for creating moving-image summaries. We aim at preserving the story line to the level that users can watch the summary instead of the original content. Our solution is based on textual cues available in subtitles and movie scripts. We extract features like keywords, main characters names and presence, and combine them in an importance function to identify the moments most relevant for preserving the story line. We develop several summarization methods and evaluate the quality of the resulting summaries in terms of user understanding and user satisfaction through a user test.
Starting Page	169
Ending Page	176
File Size	488432
Page Count	8
File Format	PDF
ISBN	9780769529974
DOI	10.1109/ICSC.2007.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	TV Layout Atmosphere Europe Speech recognition Video compression Watches Motion pictures Data mining Videoconference
Content Type	Text
Resource Type	Article

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