@article {12748,
	title = {Video copy-detection and localization with a scalable cascading framework},
	journal = {IEEE Multimedia},
	volume = {20},
	year = {2013},
	month = {2013/3},
	pages = {72-86},
	chapter = {72},
	abstract = {For video copy detection, no single audio-visual feature, or single detector based on several features, can work well for all transformations. This article proposes a novel video copy-detection and localization approach with scalable cascading of complementary detectors and multiscale sequence matching. In this cascade framework, a soft-threshold learning algorithm is utilized to estimate the optimal decision thresholds for detectors, and a multiscale sequence matching method is employed to precisely locate copies using a 2D Hough transform and multigranularities similarity evaluation. Excellent performance on the TRECVID-CBCD 2011 benchmark dataset shows the effectiveness and efficiency of the proposed approach.},
	keywords = {multimedia; scalable cascading; Sequence matching; Soft threshold; TRECVID-CBCD; Video copy detection},
	isbn = {1070-986X},
	doi = {10.1109/MMUL.2012.62},
	url = {http://www.engineeringvillage2.org/search/results/fulltext.url?docID=cpx_6e3d6014128974af0M200c2061377553},
	author = {Tian, Yonghong; *Huang, Tiejun; Jiang, Menglin; Gao, Wen}
}
