@techreport{TD:100255,
	att_abstract={{AT&T participated in two tasks at TRECVID 2010: content- based copy detection (CCD) and instance-based search (INS). The CCD system developed for TRECVID 2009 was en- hanced for efficiency and scale and was augmented by audio features. As a pilot task, participation in INS was meant to evaluate a number of algorithms traditionally used for search in a fully automated setting. In this paper, we report the enhancement of our CCD system and propose a system for INS that attempts to leverage retrieval techniques from different audio, video, and textual cues.}},
	att_authors={ez2685, bs1261, zl3194},
	att_categories={C_CCF.10, C_IIS.13, C_IIS.2},
	att_copyright={{NIST}},
	att_copyright_notice={{The definitive version was published in TRECVID 2010 {{, 2010-11-15}}}},
	att_donotupload={},
	att_private={false},
	att_projects={Miracle},
	att_tags={copy detection,  instance search,  multimedia retrieval,  trecvid},
	att_techdoc={true},
	att_techdoc_key={TD:100255},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100255_DS1_2010-11-11T19:25:26.611Z.pdf},
	author={Eric Zavesky and Behzad Shahraray and Zhu Liu and Neela Sawant},
	institution={{TRECVID 2010 Workshop}},
	month={November},
	title={{AT&T RESEARCH AT TRECVID 2010}},
	year=2010,
}