Spatiogram-based shot distances for video retrieval TRECVID Notebook Papers and Slides Ulges, Adrian Christoph Lampert ; https://orcid.org/0000-0001-8622-7887 Keysers,Daniel 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 grouping 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. NIST (National Institute of Standards and Technology, US Department of Commerce) 2006 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://research-explorer.ista.ac.at/record/3677 Ulges A, Lampert C, Keysers D. Spatiogram-based shot distances for video retrieval. In: NIST (National Institute of Standards and Technology, US Department of Commerce); 2006:1-10. info:eu-repo/semantics/closedAccess