Scene Break Detection: A Comparison
RIDE '98 Proceedings of the Workshop on Research Issues in Database Engineering
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
Rushes summarization using different redundancy elimination approaches
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
THU-intel at rushes summarization of TRECVID 2008
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Automatically estimating number of scenes for rushes summarization
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Rushes video summarization based on spatio-temporal features
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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Rushes are the raw materials used to produce a video. They often contain redundant and repetitive contents. Rushes summarization aims to provide a quick overview for a rushes video. As part of TRECVID 2007, NIST initiates a rushes summarization task. This paper reports on the design of NTU rushes summarization system for this task. Our system consists of three components, shot segmentation, redundant shot detection and summary creation. To tackle the bulky rushes, we focus on efficient but effective feature representations (local color histograms and compressed-domain motion vectors) and summarization methods. In addition, we proposed a novel approach to detect clapper shots which are not only relevant to concise summarizes but also essential for indexing numerous camera takes in the rushes. Even practically efficient and requiring only 40% of the video time for computation, the proposed system achieved satisfying results in TRECVID 2007 rushes summarization task.