Music Mood and Video Tempo based Movie Emotional Event Detection
Date Issued
2005
Date
2005
Author(s)
Chen, Yu-Hao
DOI
en-US
Abstract
Movie is one of the most important entertainments in the history of mankind. With the development of content digitalization, more and more movie viewers would like to choose parts of movies according to their favorites. But as interests of viewers are various, it's difficult to deal with their requirements by only one principle.
In this thesis, we develop modules for detecting video tempo and music mood, and present three applications about movie analysis. Music mood is categorized to high-tension and low-tension using timbre, intensity and rhythm, and each shot of video is given a tempo value by shot length and motion activity. After applying these two modules we recognize mood of music and develop three applications: music event detection, emotional event detection, and Original Sound Tracks (OST) visualization. Subjective tests show that the mean opinion scores of the experimental results are good.
Subjects
電影
音樂情緒
影片節奏
多媒體
內容分析
movie
music mood
video tempo
multimedia
content analysis
Type
thesis
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