Spatiogram-based Shot Distances for Video Retrieval

Adrian Ulges, Christoph Lampert, Daniel Keysers, Thomas Breuel
TREC Video Retrieval Evaluation Online Proceedings (TRECVID 2006)(unreviewed workshop paper), Gaithersburg, MD, USA, National Institute of Standards and Technology (NIST), 11/2006
Online Proceedings


Abstract:

We propose a video retrieval framework based on a novel combination of spatiograms and the Jensen-Shannon divergence, and validate its performance in two quantitative experiments on TRECVID BBC Rushes data. In the first experiment, color-based methods are tested by group- ing redundant shots in an unsupervised clustering. Results of the second experiment show that motion-based spatiograms make a promising fast, compressed-domain descriptor for the detection of interview scenes.

Files:

  2007-IUPR-nov_video_spatiograms.pdf

BibTex:

@misc{ ULGE2006,
	Title = {Spatiogram-based Shot Distances for Video Retrieval},
	Author = {Adrian Ulges and Christoph Lampert and Daniel Keysers and Thomas Breuel},
	BookTitle = {TREC Video Retrieval Evaluation Online Proceedings (TRECVID 2006)(unreviewed workshop paper)},
	Note = {Online Proceedings},
	Month = {11},
	Year = {2006},
	Organization = {National Institute of Standards and Technology (NIST)}
}

     
Last modified:: 30.08.2016