Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Generation of interactive multi-level video summaries
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
From single to multi-document summarization: a prototype system and its evaluation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A Unified Framework for Video Summarization, Browsing & Retrieval: with Applications to Consumer and Surveillance Video
The trecvid 2007 BBC rushes summarization evaluation pilot
Proceedings of the international workshop on TRECVID video summarization
Dimensionality reduction for heterogeneous dataset in rushes editing
Pattern Recognition
A simplified approach to rushes summarization
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Adaptive acceleration and shot stacking for video rushes summarization
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
IEEE Transactions on Multimedia - Special issue on integration of context and content
Toward a conceptual framework of key-frame extraction and storyboard display for video summarization
Journal of the American Society for Information Science and Technology
ELVIS: Entertainment-led video summaries
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Video summarization via transferrable structured learning
Proceedings of the 20th international conference on World wide web
Rushes video summarization based on spatio-temporal features
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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When witnessing the great increase of video data available, it becomes clear that summarization is one of the great challenges ahead. One particular problem is the summarization of video rushes. In this paper we present a straightforward approach that addresses this specific challenge. It combines two complementary actions: shot selection by stacking and adaptive acceleration of the playback. This simple approach provides excellent results, compared at TRECVid 2007. In particular, it offers easy to understand summaries that keep most of the original information, that meet the target compression rate, that have average scores of redundancy perception and that show playing times (by the judges) almost equal to the summaries duration.