This paper describes the video summarization system developed by the partners of the K-Space European Network of Excellence for the TRECVID 2008 BBC rushes summarization evaluation. We propose an original method based on individual content segmentation and selection tools in a collaborative system. Our system is organized in several steps. First, we segment the video, secondly we identify relevant and redundant segments, and finally, we select a subset of segments to concatenate and build the final summary with video acceleration incorporated. We analyze the performance of our system through the TRECVID evaluation.
Rushes video summarization using a collaborative approach
TRECVID 2008, ACM International Conference on Multimedia Information Retrieval 2008, October 27-November 01, 2008, Vancouver, BC, Canada
© ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in TRECVID 2008, ACM International Conference on Multimedia Information Retrieval 2008, October 27-November 01, 2008, Vancouver, BC, Canada http://dx.doi.org/10.1145/1463563.1463579
PERMALINK : https://www.eurecom.fr/publication/2576