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CVPR
2010
IEEE
16 years 3 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
MM
2006
ACM
108views Multimedia» more  MM 2006»
16 years 18 days ago
Video search reranking via information bottleneck principle
We propose a novel and generic video/image reranking algorithm, IB reranking, which reorders results from text-only searches by discovering the salient visual patterns of relevant...
Winston H. Hsu, Lyndon S. Kennedy, Shih-Fu Chang
TRECVID
2007
15 years 7 months ago
Experimenting VIREO-374: Bag-of-Visual-Words and Visual-Based Ontology for Semantic Video Indexing and search
In this paper, we present our approaches and results of high-level feature extraction and automatic video search in TRECVID-2007. In high-level feature extraction, our main focus ...
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Feng ...
ICIP
2006
IEEE
16 years 8 months ago
A Real-Time Adaptive Thresholding for Video Change Detection
A real-time adaptive non-parametric thresholding algorithm for change detection is proposed in this paper. Based on the estimation of the scatter of regions of change in a differe...
Chang Su, Aishy Amer
ICPR
2002
IEEE
16 years 7 months ago
Tracking Hands and Objects for an Intelligent Video Production System
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
Motoyuki Ozeki, Masatsugu Itoh, Yuichi Nakamura, Y...