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
Sequence alignment for redundancy removal in video rushes summarization
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Rushes summarization using different redundancy elimination approaches
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Rushes summarization based on color, motion and face
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Proceedings of the international conference on Multimedia information retrieval
Rushes video summarization based on spatio-temporal features
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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In this paper, we present a method for BBC rushes summarization. In the proposed method, first the input video is decomposed into fragments by comparing consecutive frames. Next, these fragments are grouped by a clustering method. Using the clustering result, consecutive fragments are grouped into segments. Then the adjacent segments are merged if the distance between them falls below a threshold. Finally, to generate the summaries, we select a subset of the frames of the longest segment in each cluster. The performance of the proposed method on TRECVID 2007 test set is reported.