Most previous works on video summarization target on a single video document. With the popularity of video corpus (e.g. news video archives) and Web videos, video article that consists of a set of relevant videos are frequently confronted by users. By the traditional single-document summarization, these videos are treated independently and the results are usually redundant due to the lack of inter-video analysis. To efficiently manage video articles, in this paper, we propose an approach for multi-document video summarization by exploring the redundancy between different videos. The importance of keyframes is first measured by the content inclusion based on intra- and inter-video similarities. We then propose a minimum description length (MDL) for automatically determining the appropriate length of the summary. Finally a video summary is generated for users to browse the content of the whole video article. We show that multi-document video summarization presents more elegant and informative summaries compared with single-document approach.
Multi-document video summarization
ICME 2009, IEEE International Conference on Multimedia & Expo, June 28 - July 3, 2009, Cancun, Mexico
Type:
Conference
City:
Cancun
Date:
2009-06-28
Department:
Data Science
Eurecom Ref:
2751
Copyright:
© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
See also:
PERMALINK : https://www.eurecom.fr/publication/2751
