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Generating summary videos based on visual and sound information from movies

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) 9172 190-203
DOI: 10.1007/978-3-319-20612-7_19
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Abstract

Vast quantities of video data are now widely available and easily accessible; because of the many videos that users encounter, video summary technology is needed in order to help users find videos that match their preferences. This study focuses on movies to propose a method for extracting important scenes based on visual and sound information, and verifies the degree of harmony of the extracted scenes. The video segments thus characterized can be used to generate summary videos.

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APA

Imaji, Y., & Fujisawa, M. (2015). Generating summary videos based on visual and sound information from movies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9172, pp. 190–203). Springer Verlag. https://doi.org/10.1007/978-3-319-20612-7_19

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