Evolving video skims into useful multimedia abstractions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
How fast is too fast?: evaluating fast forward surrogates for digital video
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Effects of audio and visual surrogates for making sense of digital video
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The trecvid 2007 BBC rushes summarization evaluation pilot
Proceedings of the international workshop on TRECVID video summarization
Clever clustering vs. simple speed-up for summarizing rushes
Proceedings of the international workshop on TRECVID video summarization
Video summarization preserving dynamic content
Proceedings of the international workshop on TRECVID video summarization
Evaluating audio skimming and frame rate acceleration for summarizing BBC rushes
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
The trecvid 2008 BBC rushes summarization evaluation
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Automated video program summarization using speech transcripts
IEEE Transactions on Multimedia
The trecvid 2008 BBC rushes summarization evaluation
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
A framework for video abstraction systems analysis and modelling from an operational point of view
Multimedia Tools and Applications
Automatic evaluation of video summaries
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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This paper discusses in detail our approaches for producing the video summaries submitted to the TRECVID 2008 BBC rushes summarization task, including the baseline method. Empirical work produced during and after the TRECVID 2007 rushes summarization task gave strong evidence that a simple 50x method (sampling every 50th frame) provides excellent coverage (text inclusion performance). Our submissions for TRECVID 2008 investigated the effects of junk frame removal, including a comprehensible audio track, and emphasizing pans and zooms when backfilling to reclaim the space removed with the noise shots from the original 50x set. Results show that 50x based methods provide excellent coverage as expected. There were limited effects for the other strategies to improve user satisfaction, with the discussion providing some insights for future video summary development and evaluation work.