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Spatiogram-based Shot Distances for Video Retrieval

Adrian Ulges; Christoph Lampert; Daniel Keysers; Thomas Breuel


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.