A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
Neural Network-Based Face Detection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Automatic Video Summarization by Graph Modeling
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Summarizing audiovisual contents of a video program
EURASIP Journal on Applied Signal Processing
The trecvid 2007 BBC rushes summarization evaluation pilot
Proceedings of the international workshop on TRECVID video summarization
Video summarisation: A conceptual framework and survey of the state of the art
Journal of Visual Communication and Image Representation
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Dimensionality reduction for heterogeneous dataset in rushes editing
Pattern Recognition
Sequence alignment for redundancy removal in video rushes summarization
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Rushes summarization by IRIM consortium: redundancy removal and multi-feature fusion
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Automatic evaluation method for rushes summary content
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Toward a conceptual framework of key-frame extraction and storyboard display for video summarization
Journal of the American Society for Information Science and Technology
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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In this paper, we describe our approach to the TRECVID 2007 BBC Rushes Summarization task. Our processing is composed of several steps. First the video is segmented into shots. Then, one-second video segments are clustered into similarity classes. The most important non-redundant shots are selected such that they maximize the coverage of those similarity classes. Then shots are dynamically accelerated according to their motion activity to maximize the content per time unit. Finally they are optimally grouped by sets of four to be presented using split-screen display. The summaries produced have been evaluated in the TRECVID campaign. We present a first attempt at automating the evaluation process.