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AT&T Research at TRECVID 2010., , , and . TRECVID, National Institute of Standards and Technology (NIST), (2010)Columbia University's semantic video search engine 2008., and . CIVR, page 545-546. ACM, (2008)Columbia University TRECVID 2007 High-Level Feature Extraction., , , and . TRECVID, National Institute of Standards and Technology (NIST), (2007)Cross-domain learning methods for high-level visual concept classification., , , and . ICIP, page 161-164. IEEE, (2008)User Preferences for Automated Curation of Snackable Content., , and . IUI, page 270-274. ACM, (2021)Brief and high-interest video summary generation: evaluating the AT&T labs rushes summarizations., , , , and . TVS, page 21-25. ACM, (2008)On the improvement of multimodal voice activity detection., , and . INTERSPEECH, page 685-689. ISCA, (2013)Visual islands: intuitive browsing of visual search results., , and . CIVR, page 617-626. ACM, (2008)AT&T Research at 2007., , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2007)Columbia University TRECVID-2006 Video Search and High-Level Feature Extraction., , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2006)