conference paper published Adrian Ulges author Christoph Lampert author 40C20FD2-F248-11E8-B48F-1D18A9856A870000-0001-8622-7887 Daniel Keysers author TRECVID Workshop 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 1 - 10 yes Ulges A, Lampert C, Keysers D. 2006. Spatiogram-based shot distances for video retrieval. TRECVID Workshop, TRECVID Notebook Papers and Slides, , 1–10. 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. Ulges, Adrian, Christoph Lampert, and Daniel Keysers. “Spatiogram-Based Shot Distances for Video Retrieval,” 1–10. NIST (National Institute of Standards and Technology, US Department of Commerce), 2006. A. Ulges, C. Lampert, and D. Keysers, “Spatiogram-based shot distances for video retrieval,” presented at the TRECVID Workshop, 2006, pp. 1–10. Ulges, A., Lampert, C., &#38; Keysers, D. (2006). Spatiogram-based shot distances for video retrieval (pp. 1–10). Presented at the TRECVID Workshop, NIST (National Institute of Standards and Technology, US Department of Commerce). A. Ulges, C. Lampert, D. Keysers, in:, NIST (National Institute of Standards and Technology, US Department of Commerce), 2006, pp. 1–10. Ulges, Adrian, et al. <i>Spatiogram-Based Shot Distances for Video Retrieval</i>. NIST (National Institute of Standards and Technology, US Department of Commerce), 2006, pp. 1–10. 36772018-12-11T12:04:34Z2021-01-12T07:45:04Z