Rushes video summarization using a collaborative approach

Dumont, Emilie ; Merialdo, Bernard; Essid, Slim ; Bailer, Werner ; Rehatschek, Herwig ; Byrne, Daragh ; Bredin, Hervé; O’Connor, Noel E. ; Jones, Gareth J.F. ; Smeaton, Alan F. ; Haller, Martin ; Krutz, Andreas ; Sikora, Thomas ; Piatrik, Tomas

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.


DOI
HAL
Type:
Conference
City:
Vancouver
Date:
2008-10-27
Department:
Data Science
Eurecom Ref:
2576
Copyright:
© 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 http://dx.doi.org/10.1145/1463563.1463579

PERMALINK : https://www.eurecom.fr/publication/2576