Graduate School and Research Center in Digital Sciences

Multi-document video summarization

Wang, Feng;Merialdo, Bernard

ICME 2009, IEEE International Conference on Multimedia & Expo, June 28 - July 3, 2009, Cancun, Mexico

 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.

Document Doi Bibtex

Title:Multi-document video summarization
Keywords: Multi-document, Video Summarization, Minimum Description Length.
Department:Data Science
Eurecom ref:2751
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Bibtex: @inproceedings{EURECOM+2751, doi = { }, year = {2009}, title = {{M}ulti-document video summarization }, author = {{W}ang, {F}eng and {M}erialdo, {B}ernard }, booktitle = {{ICME} 2009, {IEEE} {I}nternational {C}onference on {M}ultimedia \& {E}xpo, {J}une 28 - {J}uly 3, 2009, {C}ancun, {M}exico }, address = {{C}ancun, {MEXICO}}, month = {06}, url = {} }
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