{"publisher":"NIST (National Institute of Standards and Technology, US Department of Commerce)","publication_status":"published","conference":{"name":"TRECVID Workshop"},"_id":"3677","month":"11","title":"Spatiogram-based shot distances for video retrieval","citation":{"ama":"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.","ista":"Ulges A, Lampert C, Keysers D. 2006. Spatiogram-based shot distances for video retrieval. TRECVID Workshop, TRECVID Notebook Papers and Slides, , 1–10.","ieee":"A. Ulges, C. Lampert, and D. Keysers, “Spatiogram-based shot distances for video retrieval,” presented at the TRECVID Workshop, 2006, pp. 1–10.","chicago":"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.","mla":"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.","short":"A. Ulges, C. Lampert, D. Keysers, in:, NIST (National Institute of Standards and Technology, US Department of Commerce), 2006, pp. 1–10.","apa":"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)."},"type":"conference","date_updated":"2021-01-12T07:45:04Z","alternative_title":["TRECVID Notebook Papers and Slides"],"abstract":[{"text":"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.","lang":"eng"}],"status":"public","date_created":"2018-12-11T12:04:34Z","day":"14","year":"2006","date_published":"2006-11-14T00:00:00Z","quality_controlled":0,"publist_id":"2702","extern":1,"author":[{"last_name":"Ulges","full_name":"Ulges, Adrian","first_name":"Adrian"},{"last_name":"Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","full_name":"Christoph Lampert","orcid":"0000-0001-8622-7887","first_name":"Christoph"},{"full_name":"Keysers,Daniel","first_name":"Daniel","last_name":"Keysers"}],"main_file_link":[{"open_access":"0","url":"http://www-nlpir.nist.gov/projects/tvpubs/tv6.papers/dfki.pdf"}],"page":"1 - 10"}