Speaker Localization for Comic-Styled Film Summarization
Date Issued
2006
Date
2006
Author(s)
Lee, Ken-Yi
DOI
en-US
Abstract
Comics is a static presentation but has temporal and speech information. A comic-styled film summarization is a new and useful method to summarize a movie in 2D. But, there are many challenges when we try to transform a movie into a comic book. One of them is that we should place dialog balloons at correct positions. We propose a semi-automatic speaker localization system for comic-styled film summarization such that we can locate speakers with very less user hints. In a film, actors may do many complex motions and interactions, and environment such as lighting may change very much. For robustness, this work is based on a greedy face clustering algorithm, and has good enough performance in practice to be used in a comic-styled film summarization system.
Subjects
影片摘要
人臉辯識
影片瀏覽
video summarization
face recognition
video browsing
Type
thesis
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