A New Movie Summarization Algorithm for Effective Movie Selection : Toward Human Content lnterface Design (4)
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- Takahashi Yasushi
- Sony Corporation
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- Hasegawa Keisuke
- Nippon Telegraph and Telephone East Corporation
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- Sugiyama Kazuo
- Chiba University
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- Watanabe Makoto
- Chiba University
Bibliographic Information
- Other Title
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- 映画タイトル選択のための要約映像制作アルゴリズム : ヒューマン・コンテンツ・インタフェースデザインに向けて(4)
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Abstract
To help users select movies they want to watch, we have developed a new algorithm for semi-automatically generating movie summaries. The algorithm is based on an empirical study of how existing movies and trailers are created. Applying the Semantic Score method to capture the movie's development quantitatively, we have identified several constraints that can be used to build movie trailers. These include : 1) Select more scenes from the lntroduction parts than the Development and Turn parts of the movie, and no scenes from the Conclusion. 2) For scenes in the lntroduction part of the movie, select those scenes that have an absolute Semantic Score higher than a threshold, and those that occur at local maxima (peaks) in the Semantic Graph, and those that follow local maxima. 3) For scenes in the Development and the Turn parts of the movie, select those scenes whose score is higher than a given threshold and those that occur at local maxima. 4) Otherwise, choose pictorial scenes of low score as needed. Furthermore, the signal processing based shot detection and cutting are also taken into consideration. We have evaluated this approach experimentally by showing semi-automatically generated summaries to viewers. The results showed that first the users rated the movie summaries favorably, both as summary and as creative work in its own right, and second that the generated movie summaries enhanced the viewer's desire to watch the original movie.
Journal
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- Bulletin of Japanese Society for the Science of Design
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Bulletin of Japanese Society for the Science of Design 47 (4), 41-50, 2000
Japanese Society for the Science of Design
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Keywords
Details 詳細情報について
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- CRID
- 1390282680387221632
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- NII Article ID
- 110003825166
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- NII Book ID
- AN00150292
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- ISSN
- 21865221
- 09108173
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed